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drivers</title> <meta name="description" content="Search results for: LULC drivers"> <meta name="keywords" content="LULC drivers"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler 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id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="LULC drivers"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 621</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: LULC drivers</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">621</span> Community Perception of Dynamics and Drivers of Land Cover Change around Pendjari Biosphere Reserve in Northern Benin</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jesugnon%20E.%20A.%20Kpodo">Jesugnon E. A. Kpodo</a>, <a href="https://publications.waset.org/abstracts/search?q=Aurlus%20D.%20Ouindeyama"> Aurlus D. Ouindeyama</a>, <a href="https://publications.waset.org/abstracts/search?q=Jan%20H.%20Sommer"> Jan H. Sommer</a>, <a href="https://publications.waset.org/abstracts/search?q=Fifanou%20G.%20Vodouhe"> Fifanou G. Vodouhe</a>, <a href="https://publications.waset.org/abstracts/search?q=Kolo%20Yeo"> Kolo Yeo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Local communities are recognized as key actors for sustainable land use and to some extent actors driving land use land cover (LULC) change around protected areas. Understanding drivers responsible for these changes are very crucial for better policy decisions making. This study analyzed perception of 425 local people in 28 villages towards land cover change around Pendjari Biosphere Reserve using semi-structured questionnaire. 72.9% of local communities perceive land cover as degrading while 24.5% as improving and only 2.6% as stable during the five last years. Women perceived more land cover degradation than men do (84.1 vs. 67.1%). Local communities identified cultivated land expansion, logging, firewood collection, charcoal production, population growth, and poverty as the key drivers of declined LULC in the study area. Education has emerged as a significant factor influencing respondents’ perceptions of these drivers of LULC changes. Appropriate management measures and government policies should be implemented around Pendjari Biosphere Reserve to control drivers of LULC change. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=local%20perceptions" title="local perceptions">local perceptions</a>, <a href="https://publications.waset.org/abstracts/search?q=LULC%20drivers" title=" LULC drivers"> LULC drivers</a>, <a href="https://publications.waset.org/abstracts/search?q=LULC%20dynamics" title=" LULC dynamics"> LULC dynamics</a>, <a href="https://publications.waset.org/abstracts/search?q=Pendjari%20Biosphere%20Reserve" title=" Pendjari Biosphere Reserve"> Pendjari Biosphere Reserve</a>, <a href="https://publications.waset.org/abstracts/search?q=rural%20livelihoods" title=" rural livelihoods"> rural livelihoods</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20resource%20management" title=" sustainable resource management"> sustainable resource management</a> </p> <a href="https://publications.waset.org/abstracts/123858/community-perception-of-dynamics-and-drivers-of-land-cover-change-around-pendjari-biosphere-reserve-in-northern-benin" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/123858.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">119</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">620</span> Comparative Analysis of Different Land Use Land Cover (LULC) Maps in WRF Modelling Over Indian Region</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sen%20Tanmoy">Sen Tanmoy</a>, <a href="https://publications.waset.org/abstracts/search?q=Jain%20Sarika"> Jain Sarika</a>, <a href="https://publications.waset.org/abstracts/search?q=Panda%20Jagabandhu"> Panda Jagabandhu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The studies regarding the impact of urbanization using the WRF-ARW model rely heavily on the static geographical information selected, including domain configuration and land use land cover (LULC) data. Accurate representation of LULC data provides essential information for understanding urban growth and simulating meteorological parameters such as temperature, precipitation etc. Researchers are using different LULC data as per availability and their requirements. As far as India is concerned, we have very limited resources and data availability. So, it is important to understand how we can optimize our results using limited LULC data. In this review article, we explored how a LULC map is generated from different sources in the Indian context and what its significance is in WRF-ARW modeling to study urbanization/Climate change or any other meteorological parameters. Bibliometric analyses were also performed in this review article based on countries of study and indexed keywords. Finally, some key points are marked out for selecting the most suitable LULC map for any urbanization-related study. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=LULC" title="LULC">LULC</a>, <a href="https://publications.waset.org/abstracts/search?q=LULC%20mapping" title=" LULC mapping"> LULC mapping</a>, <a href="https://publications.waset.org/abstracts/search?q=LANDSAT" title=" LANDSAT"> LANDSAT</a>, <a href="https://publications.waset.org/abstracts/search?q=WRF-ARW" title=" WRF-ARW"> WRF-ARW</a>, <a href="https://publications.waset.org/abstracts/search?q=ISRO" title=" ISRO"> ISRO</a>, <a href="https://publications.waset.org/abstracts/search?q=bibliometric%20Analysis." title=" bibliometric Analysis."> bibliometric Analysis.</a> </p> <a href="https://publications.waset.org/abstracts/188209/comparative-analysis-of-different-land-use-land-cover-lulc-maps-in-wrf-modelling-over-indian-region" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/188209.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">27</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">619</span> Study of Land Use Land Cover Change of Bhimbetka with Temporal Satellite Data and Information Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pranita%20Shivankar">Pranita Shivankar</a>, <a href="https://publications.waset.org/abstracts/search?q=Devashree%20Hardas"> Devashree Hardas</a>, <a href="https://publications.waset.org/abstracts/search?q=Prabodhachandra%20Deshmukh"> Prabodhachandra Deshmukh</a>, <a href="https://publications.waset.org/abstracts/search?q=Arun%20Suryavanshi"> Arun Suryavanshi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Bhimbetka Rock Shelters is the UNESCO World Heritage Site located about 45 kilometers south of Bhopal in the state of Madhya Pradesh, India. Rapid changes in land use land cover (LULC) adversely affect the environment. In recent past, significant changes are found in the cultural landscape over a period of time. The objective of the paper was to study the changes in land use land cover (LULC) of Bhimbetka and its peripheral region. For this purpose, the supervised classification was carried out by using satellite images of Landsat and IRS LISS III for the year 2000 and 2013. Use of remote sensing in combination with geographic information system is one of the effective information technology tools to generate land use land cover (LULC) change information. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=IRS%20LISS%20III" title="IRS LISS III">IRS LISS III</a>, <a href="https://publications.waset.org/abstracts/search?q=Landsat" title=" Landsat"> Landsat</a>, <a href="https://publications.waset.org/abstracts/search?q=LULC" title=" LULC"> LULC</a>, <a href="https://publications.waset.org/abstracts/search?q=UNESCO" title=" UNESCO"> UNESCO</a>, <a href="https://publications.waset.org/abstracts/search?q=World%20Heritage%20Site" title=" World Heritage Site"> World Heritage Site</a> </p> <a href="https://publications.waset.org/abstracts/58616/study-of-land-use-land-cover-change-of-bhimbetka-with-temporal-satellite-data-and-information-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58616.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">350</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">618</span> Using Geo-Statistical Techniques and Machine Learning Algorithms to Model the Spatiotemporal Heterogeneity of Land Surface Temperature and its Relationship with Land Use Land Cover</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Javed%20Mallick">Javed Mallick</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In metropolitan areas, rapid changes in land use and land cover (LULC) have ecological and environmental consequences. Saudi Arabia's cities have experienced tremendous urban growth since the 1990s, resulting in urban heat islands, groundwater depletion, air pollution, loss of ecosystem services, and so on. From 1990 to 2020, this study examines the variance and heterogeneity in land surface temperature (LST) caused by LULC changes in Abha-Khamis Mushyet, Saudi Arabia. LULC was mapped using the support vector machine (SVM). The mono-window algorithm was used to calculate the land surface temperature (LST). To identify LST clusters, the local indicator of spatial associations (LISA) model was applied to spatiotemporal LST maps. In addition, the parallel coordinate (PCP) method was used to investigate the relationship between LST clusters and urban biophysical variables as a proxy for LULC. According to LULC maps, urban areas increased by more than 330% between 1990 and 2018. Between 1990 and 2018, built-up areas had an 83.6% transitional probability. Furthermore, between 1990 and 2020, vegetation and agricultural land were converted into built-up areas at a rate of 17.9% and 21.8%, respectively. Uneven LULC changes in built-up areas result in more LST hotspots. LST hotspots were associated with high NDBI but not NDWI or NDVI. This study could assist policymakers in developing mitigation strategies for urban heat islands <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=land%20use%20land%20cover%20mapping" title="land use land cover mapping">land use land cover mapping</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20surface%20temperature" title=" land surface temperature"> land surface temperature</a>, <a href="https://publications.waset.org/abstracts/search?q=support%20vector%20machine" title=" support vector machine"> support vector machine</a>, <a href="https://publications.waset.org/abstracts/search?q=LISA%20model" title=" LISA model"> LISA model</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20coordinate%20plot" title=" parallel coordinate plot"> parallel coordinate plot</a> </p> <a href="https://publications.waset.org/abstracts/161861/using-geo-statistical-techniques-and-machine-learning-algorithms-to-model-the-spatiotemporal-heterogeneity-of-land-surface-temperature-and-its-relationship-with-land-use-land-cover" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/161861.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">78</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">617</span> The Change of Urban Land Use/Cover Using Object Based Approach for Southern Bali</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=I.%20Gusti%20A.%20A.%20Rai%20Asmiwyati">I. Gusti A. A. Rai Asmiwyati</a>, <a href="https://publications.waset.org/abstracts/search?q=Robert%20J.%20Corner"> Robert J. Corner</a>, <a href="https://publications.waset.org/abstracts/search?q=Ashraf%20M.%20Dewan"> Ashraf M. Dewan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Change on land use/cover (LULC) dominantly affects spatial structure and function. It can have such impacts by disrupting social culture practice and disturbing physical elements. Thus, it has become essential to understand of the dynamics in time and space of LULC as it can be used as a critical input for developing sustainable LULC. This study was an attempt to map and monitor the LULC change in Bali Indonesia from 2003 to 2013. Using object based classification to improve the accuracy, and change detection, multi temporal land use/cover data were extracted from a set of ASTER satellite image. The overall accuracies of the classification maps of 2003 and 2013 were 86.99% and 80.36%, respectively. Built up area and paddy field were the dominant type of land use/cover in both years. Patch increase dominantly in 2003 illustrated the rapid paddy field fragmentation and the huge occurring transformation. This approach is new for the case of diverse urban features of Bali that has been growing fast and increased the classification accuracy than the manual pixel based classification. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=land%20use%2Fcover" title="land use/cover">land use/cover</a>, <a href="https://publications.waset.org/abstracts/search?q=urban" title=" urban"> urban</a>, <a href="https://publications.waset.org/abstracts/search?q=Bali" title=" Bali"> Bali</a>, <a href="https://publications.waset.org/abstracts/search?q=ASTER" title=" ASTER"> ASTER</a> </p> <a href="https://publications.waset.org/abstracts/20635/the-change-of-urban-land-usecover-using-object-based-approach-for-southern-bali" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20635.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">540</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">616</span> Effects of Changes in LULC on Hydrological Response in Upper Indus Basin</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Ammar">Ahmad Ammar</a>, <a href="https://publications.waset.org/abstracts/search?q=Umar%20Khan%20Khattak"> Umar Khan Khattak</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Majid"> Muhammad Majid</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Empirically based lumped hydrologic models have an extensive track record of use for various watershed managements and flood related studies. This study focuses on the impacts of LULC change for 10 year period on the discharge in watershed using lumped model HEC-HMS. The Indus above Tarbela region acts as a source of the main flood events in the middle and lower portions of Indus because of the amount of rainfall and topographic setting of the region. The discharge pattern of the region is influenced by the LULC associated with it. In this study the Landsat TM images were used to do LULC analysis of the watershed. Satellite daily precipitation TRMM data was used as input rainfall. The input variables for model building in HEC-HMS were then calculated based on the GIS data collected and pre-processed in HEC-GeoHMS. SCS-CN was used as transform model, SCS unit hydrograph method was used as loss model and Muskingum was used as routing model. For discharge simulation years 2000 and 2010 were taken. HEC-HMS was calibrated for the year 2000 and then validated for 2010.The performance of the model was assessed through calibration and validation process and resulted R2=0.92 during calibration and validation. Relative Bias for the years 2000 was -9% and for2010 was -14%. The result shows that in 10 years the impact of LULC change on discharge has been negligible in the study area overall. One reason is that, the proportion of built-up area in the watershed, which is the main causative factor of change in discharge, is less than 1% of the total area. However, locally, the impact of development was found significant in built up area of Mansehra city. The analysis was done on Mansehra city sub-watershed with an area of about 16 km2 and has more than 13% built up area in 2010. The results showed that with an increase of 40% built-up area in the city from 2000 to 2010 the discharge values increased about 33 percent, indicating the impact of LULC change on discharge value. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=LULC%20change" title="LULC change">LULC change</a>, <a href="https://publications.waset.org/abstracts/search?q=HEC-HMS" title=" HEC-HMS"> HEC-HMS</a>, <a href="https://publications.waset.org/abstracts/search?q=Indus%20Above%20Tarbela" title=" Indus Above Tarbela"> Indus Above Tarbela</a>, <a href="https://publications.waset.org/abstracts/search?q=SCS-CN" title=" SCS-CN "> SCS-CN </a> </p> <a href="https://publications.waset.org/abstracts/13038/effects-of-changes-in-lulc-on-hydrological-response-in-upper-indus-basin" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13038.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">512</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">615</span> Comparative Study of Fatigue and Drowsiness in the Night-Time Passenger Transportation Industry in Japan</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hiroshi%20Ikeda">Hiroshi Ikeda</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this research, a questionnaire survey was conducted to measure nap, drowsiness and fatigue of drivers who work long shifts, to discuss about the work environment and health conditions for taxi and bus drivers who work at night time. The questionnaire sheet used for this research was organized into the following categories: tension/tiredness, drowsiness while driving, and the nap situation during night-time work. The number of taxi drivers was 127 and the number of bus drivers was 40. Concerning the results of a comparison of nap hours of taxi and bus drivers, the taxi drivers’ nap hours are overwhelmingly shorter, and also the frequency of drivers who feel drowsiness is higher. The burden on bus drivers does not change because of the system of a two-driver rotation shift. In particular, the working environment of the taxi driver may lead to greater fatigue accumulation than the bus driver’s environment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bus%20and%20taxi" title="bus and taxi">bus and taxi</a>, <a href="https://publications.waset.org/abstracts/search?q=drowsiness" title=" drowsiness"> drowsiness</a>, <a href="https://publications.waset.org/abstracts/search?q=fatigue" title=" fatigue"> fatigue</a>, <a href="https://publications.waset.org/abstracts/search?q=nap" title=" nap"> nap</a> </p> <a href="https://publications.waset.org/abstracts/32338/comparative-study-of-fatigue-and-drowsiness-in-the-night-time-passenger-transportation-industry-in-japan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32338.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">327</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">614</span> Change Detection Analysis on Support Vector Machine Classifier of Land Use and Land Cover Changes: Case Study on Yangon</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Khin%20Mar%20Yee">Khin Mar Yee</a>, <a href="https://publications.waset.org/abstracts/search?q=Mu%20Mu%20Than"> Mu Mu Than</a>, <a href="https://publications.waset.org/abstracts/search?q=Kyi%20Lint"> Kyi Lint</a>, <a href="https://publications.waset.org/abstracts/search?q=Aye%20Aye%20Oo"> Aye Aye Oo</a>, <a href="https://publications.waset.org/abstracts/search?q=Chan%20Mya%20Hmway"> Chan Mya Hmway</a>, <a href="https://publications.waset.org/abstracts/search?q=Khin%20Zar%20Chi%20Winn"> Khin Zar Chi Winn</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The dynamic changes of Land Use and Land Cover (LULC) changes in Yangon have generally resulted the improvement of human welfare and economic development since the last twenty years. Making map of LULC is crucially important for the sustainable development of the environment. However, the exactly data on how environmental factors influence the LULC situation at the various scales because the nature of the natural environment is naturally composed of non-homogeneous surface features, so the features in the satellite data also have the mixed pixels. The main objective of this study is to the calculation of accuracy based on change detection of LULC changes by Support Vector Machines (SVMs). For this research work, the main data was satellite images of 1996, 2006 and 2015. Computing change detection statistics use change detection statistics to compile a detailed tabulation of changes between two classification images and Support Vector Machines (SVMs) process was applied with a soft approach at allocation as well as at a testing stage and to higher accuracy. The results of this paper showed that vegetation and cultivated area were decreased (average total 29 % from 1996 to 2015) because of conversion to the replacing over double of the built up area (average total 30 % from 1996 to 2015). The error matrix and confidence limits led to the validation of the result for LULC mapping. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=land%20use%20and%20land%20cover%20change" title="land use and land cover change">land use and land cover change</a>, <a href="https://publications.waset.org/abstracts/search?q=change%20detection" title=" change detection"> change detection</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20processing" title=" image processing"> image processing</a>, <a href="https://publications.waset.org/abstracts/search?q=support%20vector%20machines" title=" support vector machines"> support vector machines</a> </p> <a href="https://publications.waset.org/abstracts/105016/change-detection-analysis-on-support-vector-machine-classifier-of-land-use-and-land-cover-changes-case-study-on-yangon" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/105016.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">138</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">613</span> Assessment of Agricultural Land Use Land Cover, Land Surface Temperature and Population Changes Using Remote Sensing and GIS: Southwest Part of Marmara Sea, Turkey</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Melis%20Inalpulat">Melis Inalpulat</a>, <a href="https://publications.waset.org/abstracts/search?q=Levent%20Genc"> Levent Genc</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Land Use Land Cover (LULC) changes due to human activities and natural causes have become a major environmental concern. Assessment of temporal remote sensing data provides information about LULC impacts on environment. Land Surface Temperature (LST) is one of the important components for modeling environmental changes in climatological, hydrological, and agricultural studies. In this study, LULC changes (September 7, 1984 and July 8, 2014) especially in agricultural lands together with population changes (1985-2014) and LST status were investigated using remotely sensed and census data in South Marmara Watershed, Turkey. LULC changes were determined using Landsat TM and Landsat OLI data acquired in 1984 and 2014 summers. Six-band TM and OLI images were classified using supervised classification method to prepare LULC map including five classes including Forest (F), Grazing Land (G), Agricultural Land (A), Water Surface (W), and Residential Area-Bare Soil (R-B) classes. The LST image was also derived from thermal bands of the same dates. LULC classification results showed that forest areas, agricultural lands, water surfaces and residential area-bare soils were increased as 65751 ha, 20163 ha, 1924 ha and 20462 ha respectively. In comparison, a dramatic decrement occurred in grazing land (107985 ha) within three decades. The population increased % 29 between years 1984-2014 in whole study area. Along with the natural causes, migration also caused this increase since the study area has an important employment potential. LULC was transformed among the classes due to the expansion in residential, commercial and industrial areas as well as political decisions. In the study, results showed that agricultural lands around the settlement areas transformed to residential areas in 30 years. The LST images showed that mean temperatures were ranged between 26-32 °C in 1984 and 27-33 °C in 2014. Minimum temperature of agricultural lands was increased 3 °C and reached to 23 °C. In contrast, maximum temperature of A class decreased to 41 °C from 44 °C. Considering temperatures of the 2014 R-B class and 1984 status of same areas, it was seen that mean, min and max temperatures increased by 2 °C. As a result, the dynamism of population, LULC and LST resulted in increasing mean and maximum surface temperatures, living spaces/industrial areas and agricultural lands. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=census%20data" title="census data">census data</a>, <a href="https://publications.waset.org/abstracts/search?q=landsat" title=" landsat"> landsat</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20surface%20temperature%20%28LST%29" title=" land surface temperature (LST)"> land surface temperature (LST)</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20use%20land%20cover%20%28LULC%29" title=" land use land cover (LULC)"> land use land cover (LULC)</a> </p> <a href="https://publications.waset.org/abstracts/26948/assessment-of-agricultural-land-use-land-cover-land-surface-temperature-and-population-changes-using-remote-sensing-and-gis-southwest-part-of-marmara-sea-turkey" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26948.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">392</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">612</span> Land Use Land Cover Changes in Response to Urban Sprawl within North-West Anatolia, Turkey</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Melis%20Inalpulat">Melis Inalpulat</a>, <a href="https://publications.waset.org/abstracts/search?q=Levent%20Genc"> Levent Genc</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the present study, an attempt was made to state the Land Use Land Cover (LULC) transformation over three decades around the urban regions of Balıkesir, Bursa, and Çanakkale provincial centers (PCs) in Turkey. Landsat imageries acquired in 1984, 1999 and 2014 were used to determine the LULC change. Images were classified using the supervised classification technique and five main LULC classes were considered including forest (F), agricultural land (A), residential area (urban) - bare soil (R-B), water surface (W), and other (O). Change detection analyses were conducted for 1984-1999 and 1999-2014, and the results were evaluated. Conversions of LULC types to R-B class were investigated. In addition, population changes (1985-2014) were assessed depending on census data, the relations between population and the urban areas were stated, and future populations and urban area needs were forecasted for 2030. The results of LULC analysis indicated that urban areas, which are covered under R-B class, were expanded in all PCs. During 1984-1999 R-B class within Balıkesir, Bursa and Çanakkale PCs were found to have increased by 7.1%, 8.4%, and 2.9%, respectively. The trend continued in the 1999-2014 term and the increment percentages reached to 15.7%, 15.5%, and 10.2% at the end of 30-year period (1984-2014). Furthermore, since A class in all provinces was found to be the principal contributor for the R-B class, urban sprawl lead to the loss of agricultural lands. Moreover, the areas of R-B classes were highly correlated with population within all PCs (R<sup>2</sup>>0.992). Depending on this situation, both future populations and R-B class areas were forecasted. The estimated values of increase in the R-B class areas for Balıkesir, Bursa, and Çanakkale PCs were 1,586 ha, 7,999 ha and 854 ha, respectively. Due to this fact, the forecasted values for 2,030 are 7,838 ha, 27,866, and 2,486 ha for Balıkesir, Bursa, and Çanakkale, and thus, 7.7%, 8.2%, and 9.7% more R-B class areas are expected to locate in PCs in respect to the same order. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=landsat" title="landsat">landsat</a>, <a href="https://publications.waset.org/abstracts/search?q=LULC%20change" title=" LULC change"> LULC change</a>, <a href="https://publications.waset.org/abstracts/search?q=population" title=" population"> population</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20sprawl" title=" urban sprawl"> urban sprawl</a> </p> <a href="https://publications.waset.org/abstracts/51764/land-use-land-cover-changes-in-response-to-urban-sprawl-within-north-west-anatolia-turkey" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/51764.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">262</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">611</span> GIS Based Atmospheric Analysis to Predict Future Temperature Rise Caused by Land Use and Land Cover in Okara by Using Environmental Remote Sensing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sumaira%20Hafeez">Sumaira Hafeez</a>, <a href="https://publications.waset.org/abstracts/search?q=Saira%20Akram"> Saira Akram</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Albeit the populace in metropolitan regions on the planet develops each year, the urban communities battling to adapt to the expanded metropolitan movement grow at different rates. Land Surface Temperature and other atmospheric parameters of the area of not really settled using Landsat pictures more than 10 years isolated. The LULC types were moreover arranged using managed gathering techniques. Quick urbanization is changing the current examples of Land Use Land Cover (LULC) all around the world, which is thusly expanding the Land Surface Temperature (LST) other atmospheric parameters in numerous districts. Present review was centered around assessing the current and recreating the future LULC and Land Surface Temperature patterns in the elevated climate of lower Himalayan district of Pakistan. Past examples of LULC and Land Surface Temperature were distinguished through the multi-unearthly Landsat satellite pictures during the 1995–2019 information period. The future forecasts were made for the year 2030 to work out LULC and LST changes separately, utilizing their previous examples. The review presumes that the reliably extending encroachment of the city's as of late advanced provincial regions over the totally open have went with an overall warming of the district's typical. Meteorological parameters over the earlier ten years and that permitting the land to lie void for a significant long time resulting to clearing the country fields for future metropolitan improvement is a preparation that has lamentable natural effects. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=surface%20urban%20heat%20island" title="surface urban heat island">surface urban heat island</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20surface%20temperature" title=" land surface temperature"> land surface temperature</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20climate%20change" title=" urban climate change"> urban climate change</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20analysis%20of%20meterological%20and%20atmospheric%20science" title=" spatial analysis of meterological and atmospheric science"> spatial analysis of meterological and atmospheric science</a> </p> <a href="https://publications.waset.org/abstracts/150975/gis-based-atmospheric-analysis-to-predict-future-temperature-rise-caused-by-land-use-and-land-cover-in-okara-by-using-environmental-remote-sensing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/150975.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">135</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">610</span> Assessment of Land Use Land Cover Change-Induced Climatic Effects</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mahesh%20K.%20Jat">Mahesh K. Jat</a>, <a href="https://publications.waset.org/abstracts/search?q=Ankan%20Jana"> Ankan Jana</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahender%20Choudhary"> Mahender Choudhary</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Rapid population and economic growth resulted in changes in large-scale land use land cover (LULC) changes. Changes in the biophysical properties of the Earth's surface and its impact on climate are of primary concern nowadays. Different approaches, ranging from location-based relationships or modelling earth surface - atmospheric interaction through modelling techniques like surface energy balance (SEB) are used in the recent past to examine the relationship between changes in Earth surface land cover and climatic characteristics like temperature and precipitation. A remote sensing-based model i.e., Surface Energy Balance Algorithm for Land (SEBAL), has been used to estimate the surface heat fluxes over Mahi Bajaj Sagar catchment (India) from 2001 to 2020. Landsat ETM and OLI satellite data are used to model the SEB of the area. Changes in observed precipitation and temperature, obtained from India Meteorological Department (IMD) have been correlated with changes in surface heat fluxes to understand the relative contributions of LULC change in changing these climatic variables. Results indicate a noticeable impact of LULC changes on climatic variables, which are aligned with respective changes in SEB components. Results suggest that precipitation increases at a rate of 20 mm/year. The maximum and minimum temperature decreases and increases at 0.007 ℃ /year and 0.02 ℃ /year, respectively. The average temperature increases at 0.009 ℃ /year. Changes in latent heat flux and sensible heat flux positively correlate with precipitation and temperature, respectively. Variation in surface heat fluxes influences the climate parameters and is an adequate reason for climate change. So, SEB modelling is helpful to understand the LULC change and its impact on climate. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=LULC" title="LULC">LULC</a>, <a href="https://publications.waset.org/abstracts/search?q=sensible%20heat%20flux" title=" sensible heat flux"> sensible heat flux</a>, <a href="https://publications.waset.org/abstracts/search?q=latent%20heat%20flux" title=" latent heat flux"> latent heat flux</a>, <a href="https://publications.waset.org/abstracts/search?q=SEBAL" title=" SEBAL"> SEBAL</a>, <a href="https://publications.waset.org/abstracts/search?q=landsat" title=" landsat"> landsat</a>, <a href="https://publications.waset.org/abstracts/search?q=precipitation" title=" precipitation"> precipitation</a>, <a href="https://publications.waset.org/abstracts/search?q=temperature" title=" temperature"> temperature</a> </p> <a href="https://publications.waset.org/abstracts/148365/assessment-of-land-use-land-cover-change-induced-climatic-effects" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148365.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">116</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">609</span> Attitude and Perception of Non-emergency Vehicle Drivers on Roads Towards Medical Emergency Vehicles: The Role of Empathy and Pro-Social Skills</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Purnima%20K%20Bajre">Purnima K Bajre</a>, <a href="https://publications.waset.org/abstracts/search?q=Rujula%20Talloo"> Rujula Talloo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A variety of vehicles are driven on roads such as private vehicles, commercial vehicles, public vehicles, and emergency service vehicles (EMV). Drivers driving different vehicles can have attitude differences towards emergency service vehicles which in turn affects their likelihood to give way to them. The present review aims to understand the factors that mediate this yielding behavior of drivers towards EMVs. Through extensive review of available literature, factors such as effects of lights and sirens, cognitive load, age of the driver, driving general experience, traffic load, drivers’ experience and training with EMVs and drivers’ attitude towards EMV drivers, have emerged as mediating factors. Whereas cognitive load is the most researched area and is observed to be associated negatively with on road drivers’ attitudes towards EMVs, there is a paucity of research to understand the relationships between empathy, pro-social skills, and on road drivers’ attitude towards EMVs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cognitive%20load" title="cognitive load">cognitive load</a>, <a href="https://publications.waset.org/abstracts/search?q=emergency%20service%20vehicle" title=" emergency service vehicle"> emergency service vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=empathy" title=" empathy"> empathy</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20load" title=" traffic load"> traffic load</a> </p> <a href="https://publications.waset.org/abstracts/191314/attitude-and-perception-of-non-emergency-vehicle-drivers-on-roads-towards-medical-emergency-vehicles-the-role-of-empathy-and-pro-social-skills" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/191314.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">31</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">608</span> Road Traffic Psychology: A Survey of Seat Belt Usage among Drivers in Ogbomoso, Oyo State, Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=I.%20T.%20Adebayo">I. T. Adebayo</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20R.%20Aworemi"> J. R. Aworemi</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20A.%20Ogundele"> V. A. Ogundele</a>, <a href="https://publications.waset.org/abstracts/search?q=O.%20J.%20Babalola"> O. J. Babalola</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20O.%20Ajayi"> J. O. Ajayi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The behavior of road users is a critical element in road safety. However, despite the proven effectiveness of the seat belt in reducing injury severity, some drivers still do not use the seat belt. The study, therefore, examined seat belt usage among drivers in Ogbomoso, Oyo State, Nigeria. Face-to-face surveys were conducted to elicit data on seat belt usage and road behaviors on 54,038 drivers plying the General-Lautech Road in Ogbomoso over a period of six months. Data collected were analyzed using both descriptive and inferential statistics. Findings revealed that seat belt usage was moderate among private car drivers in the morning (52.75 percent) and much lower in the evening (37.67 percent), while less than 30 percent of the commercial bus/taxi drivers used the seat during both periods. The paired T-test revealed a significant difference in seat belt usage by all the drivers in the morning and in the evening, as indicated with a T value of 113.977 and the level of significance p < 0.05. The study concluded that there is a significant difference in the usage of the seat belt by both private car and commercial bus/taxi drivers in Ogbomoso as most drivers made use of the seat belt, especially in the morning, to avoid being delayed when flagged down and fined for non-compliance with seat belt usage by the road traffic law enforcement agents. However, most of the drivers cited inadequate/lack of enforcement of compulsory use of seat belts by the relevant agencies and discomfort as the major reasons for not using the seat belt while driving. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=drivers" title="drivers">drivers</a>, <a href="https://publications.waset.org/abstracts/search?q=road" title=" road "> road </a>, <a href="https://publications.waset.org/abstracts/search?q=seat%20belt" title=" seat belt"> seat belt</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20psychology" title=" traffic psychology"> traffic psychology</a> </p> <a href="https://publications.waset.org/abstracts/136647/road-traffic-psychology-a-survey-of-seat-belt-usage-among-drivers-in-ogbomoso-oyo-state-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/136647.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">200</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">607</span> Preliminary Analysis on Land Use-Land Cover Assessment of Post-Earthquake Geohazard: A Case Study in Kundasang, Sabah</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nur%20Afiqah%20Mohd%20Kamal">Nur Afiqah Mohd Kamal</a>, <a href="https://publications.waset.org/abstracts/search?q=Khamarrul%20Azahari%20Razak"> Khamarrul Azahari Razak</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The earthquake aftermath has become a major concern, especially in high seismicity region. In Kundasang, Sabah, the earthquake on 5th June 2015 resulted in several catastrophes; landslides, rockfalls, mudflows and major slopes affected regardless of the series of the aftershocks. Certainly, the consequences of earthquake generate and induce the episodic disaster, not only life-threatening but it also affects infrastructure and economic development. Therefore, a need for investigating the change in land use and land cover (LULC) of post-earthquake geohazard is essential for identifying the extent of disastrous effects towards the development in Kundasang. With the advancement of remote sensing technology, post-earthquake geohazards (landslides, mudflows, rockfalls, debris flows) assessment can be evaluated by the employment of object-based image analysis in investigating the LULC change which consists of settlements, public infrastructure and vegetation cover. Therefore, this paper discusses the preliminary results on post-earthquakes geohazards distribution in Kundasang and evaluates the LULC classification effect upon the occurrences of geohazards event. The result of this preliminary analysis will provide an overview to determine the extent of geohazard impact on LULC. This research also provides beneficial input to the local authority in Kundasang about the risk of future structural development on the geohazard area. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=geohazard" title="geohazard">geohazard</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20use%20land%20cover" title=" land use land cover"> land use land cover</a>, <a href="https://publications.waset.org/abstracts/search?q=object-based%20image%20analysis" title=" object-based image analysis"> object-based image analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title=" remote sensing"> remote sensing</a> </p> <a href="https://publications.waset.org/abstracts/94250/preliminary-analysis-on-land-use-land-cover-assessment-of-post-earthquake-geohazard-a-case-study-in-kundasang-sabah" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/94250.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">245</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">606</span> Determination of Potential Agricultural Lands Using Landsat 8 OLI Images and GIS: Case Study of Gokceada (Imroz) Turkey</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rahmi%20Kafadar">Rahmi Kafadar</a>, <a href="https://publications.waset.org/abstracts/search?q=Levent%20Genc"> Levent Genc</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In present study, it was aimed to determine potential agricultural lands (PALs) in Gokceada (Imroz) Island of Canakkale province, Turkey. Seven-band Landsat 8 OLI images acquired on July 12 and August 13, 2013, and their 14-band combination image were used to identify current Land Use Land Cover (LULC) status. Principal Component Analysis (PCA) was applied to three Landsat datasets in order to reduce the correlation between the bands. A total of six Original and PCA images were classified using supervised classification method to obtain the LULC maps including 6 main classes (“Forest”, “Agriculture”, “Water Surface”, “Residential Area-Bare Soil”, “Reforestation” and “Other”). Accuracy assessment was performed by checking the accuracy of 120 randomized points for each LULC maps. The best overall accuracy and Kappa statistic values (90.83%, 0.8791% respectively) were found for PCA images which were generated from 14-bands combined images called 3-B/JA. Digital Elevation Model (DEM) with 15 m spatial resolution (ASTER) was used to consider topographical characteristics. Soil properties were obtained by digitizing 1:25000 scaled soil maps of rural services directorate general. Potential Agricultural Lands (PALs) were determined using Geographic information Systems (GIS). Procedure was applied considering that “Other” class of LULC map may be used for agricultural purposes in the future properties. Overlaying analysis was conducted using Slope (S), Land Use Capability Class (LUCC), Other Soil Properties (OSP) and Land Use Capability Sub-Class (SUBC) properties. A total of 901.62 ha areas within “Other” class (15798.2 ha) of LULC map were determined as PALs. These lands were ranked as “Very Suitable”, “Suitable”, “Moderate Suitable” and “Low Suitable”. It was determined that the 8.03 ha were classified as “Very Suitable” while 18.59 ha as suitable and 11.44 ha as “Moderate Suitable” for PALs. In addition, 756.56 ha were found to be “Low Suitable”. The results obtained from this preliminary study can serve as basis for further studies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=digital%20elevation%20model%20%28DEM%29" title="digital elevation model (DEM)">digital elevation model (DEM)</a>, <a href="https://publications.waset.org/abstracts/search?q=geographic%20information%20systems%20%28GIS%29" title=" geographic information systems (GIS)"> geographic information systems (GIS)</a>, <a href="https://publications.waset.org/abstracts/search?q=gokceada%20%28Imroz%29" title=" gokceada (Imroz)"> gokceada (Imroz)</a>, <a href="https://publications.waset.org/abstracts/search?q=lANDSAT%208%20OLI-TIRS" title=" lANDSAT 8 OLI-TIRS"> lANDSAT 8 OLI-TIRS</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20use%20land%20cover%20%28LULC%29" title=" land use land cover (LULC)"> land use land cover (LULC)</a> </p> <a href="https://publications.waset.org/abstracts/26949/determination-of-potential-agricultural-lands-using-landsat-8-oli-images-and-gis-case-study-of-gokceada-imroz-turkey" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26949.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">353</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">605</span> The Relationship Between Car Drivers' Background Information and Risky Events In I- Dreams Project</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dagim%20Dessalegn%20Haile">Dagim Dessalegn Haile</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study investigated the interaction between the drivers' socio-demographic background information (age, gender, and driving experience) and the risky events score in the i-DREAMS platform. Further, the relationship between the participants' background driving behavior and the i-DREAMS platform behavioral output scores of risky events was also investigated. The i-DREAMS acronym stands for Smart Driver and Road Environment Assessment and Monitoring System. It is a European Union Horizon 2020 funded project consisting of 13 partners, researchers, and industry partners from 8 countries. A total of 25 Belgian car drivers (16 male and nine female) were considered for analysis. Drivers' ages were categorized into ages 18-25, 26-45, 46-65, and 65 and older. Drivers' driving experience was also categorized into four groups: 1-15, 16-30, 31-45, and 46-60 years. Drivers are classified into two clusters based on the recorded score for risky events during phase 1 (baseline) using risky events; acceleration, deceleration, speeding, tailgating, overtaking, and lane discipline. Agglomerative hierarchical clustering using SPSS shows Cluster 1 drivers are safer drivers, and Cluster 2 drivers are identified as risky drivers. The analysis result indicated no significant relationship between age groups, gender, and experience groups except for risky events like acceleration, tailgating, and overtaking in a few phases. This is mainly because the fewer participants create less variability of socio-demographic background groups. Repeated measure ANOVA shows that cluster 2 drivers improved more than cluster 1 drivers for tailgating, lane discipline, and speeding events. A positive relationship between background drivers' behavior and i-DREAMS platform behavioral output scores is observed. It implies that car drivers who in the questionnaire data indicate committing more risky driving behavior demonstrate more risky driver behavior in the i-DREAMS observed driving data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=i-dreams" title="i-dreams">i-dreams</a>, <a href="https://publications.waset.org/abstracts/search?q=car%20drivers" title=" car drivers"> car drivers</a>, <a href="https://publications.waset.org/abstracts/search?q=socio-demographic%20background" title=" socio-demographic background"> socio-demographic background</a>, <a href="https://publications.waset.org/abstracts/search?q=risky%20events" title=" risky events"> risky events</a> </p> <a href="https://publications.waset.org/abstracts/178955/the-relationship-between-car-drivers-background-information-and-risky-events-in-i-dreams-project" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/178955.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">70</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">604</span> Assessment of Forest Above Ground Biomass Through Linear Modeling Technique Using SAR Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arjun%20G.%20Koppad">Arjun G. Koppad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study was conducted in Joida taluk of Uttara Kannada district, Karnataka, India, to assess the land use land cover (LULC) and forest aboveground biomass using L band SAR data. The study area covered has dense, moderately dense, and sparse forests. The sampled area was 0.01 percent of the forest area with 30 sampling plots which were selected randomly. The point center quadrate (PCQ) method was used to select the tree and collected the tree growth parameters viz., tree height, diameter at breast height (DBH), and diameter at the tree base. The tree crown density was measured with a densitometer. Each sample plot biomass was estimated using the standard formula. In this study, the LULC classification was done using Freeman-Durden, Yamaghuchi and Pauli polarimetric decompositions. It was observed that the Freeman-Durden decomposition showed better LULC classification with an accuracy of 88 percent. An attempt was made to estimate the aboveground biomass using SAR backscatter. The ALOS-2 PALSAR-2 L-band data (HH, HV, VV &VH) fully polarimetric quad-pol SAR data was used. SAR backscatter-based regression model was implemented to retrieve forest aboveground biomass of the study area. Cross-polarization (HV) has shown a good correlation with forest above-ground biomass. The Multi Linear Regression analysis was done to estimate aboveground biomass of the natural forest areas of the Joida taluk. The different polarizations (HH &HV, VV &HH, HV & VH, VV&VH) combination of HH and HV polarization shows a good correlation with field and predicted biomass. The RMSE and value for HH & HV and HH & VV were 78 t/ha and 0.861, 81 t/ha and 0.853, respectively. Hence the model can be recommended for estimating AGB for the dense, moderately dense, and sparse forest. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=forest" title="forest">forest</a>, <a href="https://publications.waset.org/abstracts/search?q=biomass" title=" biomass"> biomass</a>, <a href="https://publications.waset.org/abstracts/search?q=LULC" title=" LULC"> LULC</a>, <a href="https://publications.waset.org/abstracts/search?q=back%20scatter" title=" back scatter"> back scatter</a>, <a href="https://publications.waset.org/abstracts/search?q=SAR" title=" SAR"> SAR</a>, <a href="https://publications.waset.org/abstracts/search?q=regression" title=" regression"> regression</a> </p> <a href="https://publications.waset.org/abstracts/187535/assessment-of-forest-above-ground-biomass-through-linear-modeling-technique-using-sar-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/187535.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">26</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">603</span> Occupational Stress and Lipid Profile among Drivers in Ismailia City, Egypt</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amani%20Waheed">Amani Waheed</a>, <a href="https://publications.waset.org/abstracts/search?q=Adel%20Mishriky"> Adel Mishriky</a>, <a href="https://publications.waset.org/abstracts/search?q=Rasha%20Farouk"> Rasha Farouk</a>, <a href="https://publications.waset.org/abstracts/search?q=Essam%20%20Abdallah"> Essam Abdallah</a>, <a href="https://publications.waset.org/abstracts/search?q=Sarah%20Hussein"> Sarah Hussein</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Occupational stress plays a crucial role in professional drivers' health. They are exposed to high workloads, low physical activity, high demand and low decisions as well as poor lifestyle factors including poor diet, sedentary work, and smoking. Dyslipidemia is a well-established modifiable cardiovascular risk factor. Occupational stress and other forms of chronic stress have been associated with raised levels of atherogenic lipids. Although stress management has some evidence in improving lipid profile, the association between occupational stress and dyslipidemia is not clear. Objectives: To assess the relational between occupational stress and lipid profile among professional drivers. Methodology: A cross-sectional study conducted at a large company in Ismailia City, Egypt, where, 131 professional drivers divided into 44 car drivers, 43 bus drivers, and 44 truck drivers were eligible after applying exclusion criteria. Occupational stress index (OSI), non-occupational risk factors of dyslipidemia were assessed using interview structured questionnaire. Blood pressure, body mass index (BMI) and lipid profile were measured. Results: The mean of total OSI score was 79.98 ± 6.14. The total OSI score is highest among truck drivers (82.16 ± 4.62), then bus drivers (80.26 ± 6.02) and lowest among car drivers (77.55 ± 6.79) with statistically significant. Eighty percent had Dyslipidemia. The duration of driving hours per day, exposure to passive smoking and increased BMI were the risk factors. No statistical significance between Total OSI score and dyslipidemia. Using, logistic regression analysis, occupational stress, duration of driving hours per day, and BMI were positive significant predictors for dyslipidemia. Conclusion: Professional drivers are exposed to occupational stress. A high proportion of drivers have dyslipidemia. Total OSI score doesn't have statistically significant relation with dyslipidemia. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=body%20mass%20index" title="body mass index">body mass index</a>, <a href="https://publications.waset.org/abstracts/search?q=dyslipidaemia" title=" dyslipidaemia"> dyslipidaemia</a>, <a href="https://publications.waset.org/abstracts/search?q=occupational%20stress" title=" occupational stress"> occupational stress</a>, <a href="https://publications.waset.org/abstracts/search?q=professional%20drivers" title=" professional drivers"> professional drivers</a> </p> <a href="https://publications.waset.org/abstracts/96336/occupational-stress-and-lipid-profile-among-drivers-in-ismailia-city-egypt" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/96336.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">166</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">602</span> Comparati̇ve Study of Pi̇xel and Object-Based Image Classificati̇on Techni̇ques for Extracti̇on of Land Use/Land Cover Informati̇on</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mahesh%20Kumar%20Jat">Mahesh Kumar Jat</a>, <a href="https://publications.waset.org/abstracts/search?q=Manisha%20Choudhary"> Manisha Choudhary</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Rapid population and economic growth resulted in changes in large-scale land use land cover (LULC) changes. Changes in the biophysical properties of the Earth's surface and its impact on climate are of primary concern nowadays. Different approaches, ranging from location-based relationships or modelling earth surface - atmospheric interaction through modelling techniques like surface energy balance (SEB) have been used in the recent past to examine the relationship between changes in Earth surface land cover and climatic characteristics like temperature and precipitation. A remote sensing-based model i.e., Surface Energy Balance Algorithm for Land (SEBAL), has been used to estimate the surface heat fluxes over Mahi Bajaj Sagar catchment (India) from 2001 to 2020. Landsat ETM and OLI satellite data are used to model the SEB of the area. Changes in observed precipitation and temperature, obtained from India Meteorological Department (IMD) have been correlated with changes in surface heat fluxes to understand the relative contributions of LULC change in changing these climatic variables. Results indicate a noticeable impact of LULC changes on climatic variables, which are aligned with respective changes in SEB components. Results suggest that precipitation increases at a rate of 20 mm/year. The maximum and minimum temperature decreases and increases at 0.007 ℃ /year and 0.02 ℃ /year, respectively. The average temperature increases at 0.009 ℃ /year. Changes in latent heat flux and sensible heat flux positively correlate with precipitation and temperature, respectively. Variation in surface heat fluxes influences the climate parameters and is an adequate reason for climate change. So, SEB modelling is helpful to understand the LULC change and its impact on climate. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title="remote sensing">remote sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=object%20based" title=" object based"> object based</a>, <a href="https://publications.waset.org/abstracts/search?q=classification" title=" classification"> classification</a> </p> <a href="https://publications.waset.org/abstracts/148368/comparative-study-of-pixel-and-object-based-image-classification-techniques-for-extraction-of-land-useland-cover-information" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148368.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">130</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">601</span> Managing Truck Drivers’ Fatigue: A Critical Review of the Literature and Recommended Remedies</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mozhgan%20Aliakbari">Mozhgan Aliakbari</a>, <a href="https://publications.waset.org/abstracts/search?q=Sara%20Moridpour"> Sara Moridpour</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years, much attention has been given to truck drivers’ fatigue management. Long working hours negatively influence truck drivers’ physiology, health, and safety. However, there is little empirical research in the heavy vehicle transport sector in Australia to identify the influence of working hours’ management on drivers’ fatigue and consequently, on the risk of crashes and injuries. There is no national legislation regulating the number of hours or kilometres travelled by truck drivers. Consequently, it is almost impossible to define a standard number of hours or kilometres for truck drivers in a safety management system. This paper reviews the existing studies concerning safe system interventions such as tachographs in relation to fatigue caused by long working hours. This paper also reviews the literature to identify the influence of frequency of rest breaks on the reduction of work-related road transport accidents involving trucks. A framework is presented to manage truck drivers’ fatigue, which may result in the reduction of injuries and fatalities involving heavy vehicles. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fatigue" title="fatigue">fatigue</a>, <a href="https://publications.waset.org/abstracts/search?q=time%20management" title=" time management"> time management</a>, <a href="https://publications.waset.org/abstracts/search?q=trucks" title=" trucks"> trucks</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20safety" title=" traffic safety"> traffic safety</a> </p> <a href="https://publications.waset.org/abstracts/50854/managing-truck-drivers-fatigue-a-critical-review-of-the-literature-and-recommended-remedies" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50854.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">288</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">600</span> The Prediction of Effective Equation on Drivers' Behavioral Characteristics of Lane Changing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Khashayar%20Kazemzadeh">Khashayar Kazemzadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Hanif%20Dasoomi"> Mohammad Hanif Dasoomi </a> </p> <p class="card-text"><strong>Abstract:</strong></p> According to the increasing volume of traffic, lane changing plays a crucial role in traffic flow. Lane changing in traffic depends on several factors including road geometrical design, speed, drivers’ behavioral characteristics, etc. A great deal of research has been carried out regarding these fields. Despite of the other significant factors, the drivers’ behavioral characteristics of lane changing has been emphasized in this paper. This paper has predicted the effective equation based on personal characteristics of lane changing by regression models. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=effective%20equation" title="effective equation">effective equation</a>, <a href="https://publications.waset.org/abstracts/search?q=lane%20changing" title=" lane changing"> lane changing</a>, <a href="https://publications.waset.org/abstracts/search?q=drivers%E2%80%99%20behavioral%20characteristics" title=" drivers’ behavioral characteristics"> drivers’ behavioral characteristics</a>, <a href="https://publications.waset.org/abstracts/search?q=regression%20models" title=" regression models"> regression models</a> </p> <a href="https://publications.waset.org/abstracts/36201/the-prediction-of-effective-equation-on-drivers-behavioral-characteristics-of-lane-changing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36201.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">450</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">599</span> Gender Differences in the Prediction of Smartphone Use While Driving: Personal and Social Factors </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Erez%20Kita">Erez Kita</a>, <a href="https://publications.waset.org/abstracts/search?q=Gil%20Luria"> Gil Luria</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study examines gender as a boundary condition for the relationship between the psychological variable of mindfulness and the social variable of income with regards to the use of smartphones by young drivers. The use of smartphones while driving increases the likelihood of a car accident, endangering young drivers and other road users. The study sample included 186 young drivers who were legally permitted to drive without supervision. The subjects were first asked to complete questionnaires on mindfulness and income. Next, their smartphone use while driving was monitored over a one-month period. This study is unique as it used an objective smartphone monitoring application (rather than self-reporting) to count the number of times the young participants actually touched their smartphones while driving. The findings show that gender moderates the effects of social and personal factors (i.e., income and mindfulness) on the use of smartphones while driving. The pattern of moderation was similar for both social and personal factors. For men, mindfulness and income are negatively associated with the use of smartphones while driving. These factors are not related to the use of smartphones by women drivers. Mindfulness and income can be used to identify male populations that are at risk of using smartphones while driving. Interventions that improve mindfulness can be used to reduce the use of smartphones by male drivers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mindfulness" title="mindfulness">mindfulness</a>, <a href="https://publications.waset.org/abstracts/search?q=using%20smartphones%20while%20driving" title=" using smartphones while driving"> using smartphones while driving</a>, <a href="https://publications.waset.org/abstracts/search?q=income" title=" income"> income</a>, <a href="https://publications.waset.org/abstracts/search?q=gender" title=" gender"> gender</a>, <a href="https://publications.waset.org/abstracts/search?q=young%20drivers" title=" young drivers"> young drivers</a> </p> <a href="https://publications.waset.org/abstracts/118529/gender-differences-in-the-prediction-of-smartphone-use-while-driving-personal-and-social-factors" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/118529.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">170</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">598</span> Hydrologic Impacts of Climate Change and Urbanization on Quetta Watershed, Pakistan</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Malik%20Muhammad%20Akhtar">Malik Muhammad Akhtar</a>, <a href="https://publications.waset.org/abstracts/search?q=Tanzeel%20Khan"> Tanzeel Khan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Various natural and anthropogenic factors are affecting recharge processes in urban areas due to intense urban expansion; land-use/landcover change (LULC) and climate considerably influence the ecosystem functions. In Quetta, a terrible transformation of LULC has occurred due to an increase in human population and rapid urbanization over the past years; according to the Pakistan Bureau of Statistics, the increase of population from 252,577 in 1972 to 2,275,699 in 2017 shows an abrupt rise which in turn has affected the aquifer recharge capability, vegetation, and precipitation at Quetta. This study focuses on the influence of population growth and LULC on groundwater table level by employing multi-temporal, multispectral satellite data during the selected years, i.e. 2014, 2017, and 2020. The results of land classification showed that barren land had shown a considerable decrease, whereas the urban area has increased over time from 152.4sq/km in 2014 to 195.5sq/km in 2017 to 283.3sq/km in 2020, whereas surface-water area coverage has increased since 2014 because of construction of few dams around the valley. Rapid urbanization stresses limited hydrology resources, and this needs to be addressed to conserve/sustain the resources through educating the local community, awareness regarding water use and climate change, and supporting artificial recharge of the aquifers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=climate%20changes" title="climate changes">climate changes</a>, <a href="https://publications.waset.org/abstracts/search?q=urbanization" title=" urbanization"> urbanization</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20use" title=" land use"> land use</a>, <a href="https://publications.waset.org/abstracts/search?q=Quetta" title=" Quetta"> Quetta</a>, <a href="https://publications.waset.org/abstracts/search?q=watershed" title=" watershed"> watershed</a> </p> <a href="https://publications.waset.org/abstracts/159456/hydrologic-impacts-of-climate-change-and-urbanization-on-quetta-watershed-pakistan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/159456.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">123</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">597</span> An Evaluation of Drivers in Implementing Sustainable Manufacturing in India: Using DEMATEL Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=D.%20Garg">D. Garg</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Luthra"> S. Luthra</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Haleem"> A. Haleem</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Due to growing concern about environmental and social consequences throughout the world, a need has been felt to incorporate sustainability concepts in conventional manufacturing. This paper is an attempt to identify and evaluate drivers in implementing sustainable manufacturing in Indian context. Nine possible drivers for successful implementation of sustainable manufacturing have been identified from extensive review. Further, Decision Making Trial and Evaluation Laboratory (DEMATEL) approach has been utilized to evaluate and categorize these identified drivers for implementing sustainable manufacturing in to the cause and effect groups. Five drivers (Societal Pressure and Public Concerns; Regulations and Government Policies; Top Management Involvement, Commitment and Support; Effective Strategies and Activities towards Socially Responsible Manufacturing and Market Trends) have been categorized into the cause group and four drivers (Holistic View in Manufacturing Systems; Supplier Participation; Building Sustainable culture in Organization; and Corporate Image and Benefits) have been categorized into the effect group. “Societal Pressure and Public Concerns” has been found the most critical driver and “Corporate Image and Benefits” as least critical or the most easily influenced driver to implementing sustainable manufacturing in Indian context. This paper may surely help practitioners in better understanding of these drivers and their priorities towards effective implementation of sustainable manufacturing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=drivers" title="drivers">drivers</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20making%20trial%20and%20evaluation%20laboratory%20%28DEMATEL%29" title=" decision making trial and evaluation laboratory (DEMATEL)"> decision making trial and evaluation laboratory (DEMATEL)</a>, <a href="https://publications.waset.org/abstracts/search?q=India" title=" India"> India</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20manufacturing" title=" sustainable manufacturing "> sustainable manufacturing </a> </p> <a href="https://publications.waset.org/abstracts/15350/an-evaluation-of-drivers-in-implementing-sustainable-manufacturing-in-india-using-dematel-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15350.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">388</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">596</span> Development of an Interactive Display-Control Layout Design System for Trains Based on Train Drivers’ Mental Models</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hyeonkyeong%20Yang">Hyeonkyeong Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=Minseok%20Son"> Minseok Son</a>, <a href="https://publications.waset.org/abstracts/search?q=Taekbeom%20Yoo"> Taekbeom Yoo</a>, <a href="https://publications.waset.org/abstracts/search?q=Woojin%20Park"> Woojin Park</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Human error is the most salient contributing factor to railway accidents. To reduce the frequency of human errors, many researchers and train designers have adopted ergonomic design principles for designing display-control layout in rail cab. There exist a number of approaches for designing the display control layout based on optimization methods. However, the ergonomically optimized layout design may not be the best design for train drivers, since the drivers have their own mental models based on their experiences. Consequently, the drivers may prefer the existing display-control layout design over the optimal design, and even show better driving performance using the existing design compared to that using the optimal design. Thus, in addition to ergonomic design principles, train drivers’ mental models also need to be considered for designing display-control layout in rail cab. This paper developed an ergonomic assessment system of display-control layout design, and an interactive layout design system that can generate design alternatives and calculate ergonomic assessment score in real-time. The design alternatives generated from the interactive layout design system may not include the optimal design from the ergonomics point of view. However, the system’s strength is that it considers train drivers’ mental models, which can help generate alternatives that are more friendly and easier to use for train drivers. Also, with the developed system, non-experts in ergonomics, such as train drivers, can refine the design alternatives and improve ergonomic assessment score in real-time. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=display-control%20layout%20design" title="display-control layout design">display-control layout design</a>, <a href="https://publications.waset.org/abstracts/search?q=interactive%20layout%20design%20system" title=" interactive layout design system"> interactive layout design system</a>, <a href="https://publications.waset.org/abstracts/search?q=mental%20model" title=" mental model"> mental model</a>, <a href="https://publications.waset.org/abstracts/search?q=train%20drivers" title=" train drivers"> train drivers</a> </p> <a href="https://publications.waset.org/abstracts/52550/development-of-an-interactive-display-control-layout-design-system-for-trains-based-on-train-drivers-mental-models" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/52550.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">306</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">595</span> Big Data Analysis Approach for Comparison New York Taxi Drivers' Operation Patterns between Workdays and Weekends Focusing on the Revenue Aspect</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yongqi%20Dong">Yongqi Dong</a>, <a href="https://publications.waset.org/abstracts/search?q=Zuo%20Zhang"> Zuo Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Rui%20Fu"> Rui Fu</a>, <a href="https://publications.waset.org/abstracts/search?q=Li%20Li"> Li Li</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The records generated by taxicabs which are equipped with GPS devices is of vital importance for studying human mobility behavior, however, here we are focusing on taxi drivers' operation strategies between workdays and weekends temporally and spatially. We identify a group of valuable characteristics through large scale drivers' behavior in a complex metropolis environment. Based on the daily operations of 31,000 taxi drivers in New York City, we classify drivers into top, ordinary and low-income groups according to their monthly working load, daily income, daily ranking and the variance of the daily rank. Then, we apply big data analysis and visualization methods to compare the different characteristics among top, ordinary and low income drivers in selecting of working time, working area as well as strategies between workdays and weekends. The results verify that top drivers do have special operation tactics to help themselves serve more passengers, travel faster thus make more money per unit time. This research provides new possibilities for fully utilizing the information obtained from urban taxicab data for estimating human behavior, which is not only very useful for individual taxicab driver but also to those policy-makers in city authorities. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=big%20data" title="big data">big data</a>, <a href="https://publications.waset.org/abstracts/search?q=operation%20strategies" title=" operation strategies"> operation strategies</a>, <a href="https://publications.waset.org/abstracts/search?q=comparison" title=" comparison"> comparison</a>, <a href="https://publications.waset.org/abstracts/search?q=revenue" title=" revenue"> revenue</a>, <a href="https://publications.waset.org/abstracts/search?q=temporal" title=" temporal"> temporal</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial" title=" spatial"> spatial</a> </p> <a href="https://publications.waset.org/abstracts/50679/big-data-analysis-approach-for-comparison-new-york-taxi-drivers-operation-patterns-between-workdays-and-weekends-focusing-on-the-revenue-aspect" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50679.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">227</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">594</span> Modelling the Effect of Alcohol Consumption on the Accelerating and Braking Behaviour of Drivers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ankit%20Kumar%20Yadav">Ankit Kumar Yadav</a>, <a href="https://publications.waset.org/abstracts/search?q=Nagendra%20R.%20Velaga"> Nagendra R. Velaga</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Driving under the influence of alcohol impairs the driving performance and increases the crash risks worldwide. The present study investigated the effect of different Blood Alcohol Concentrations (BAC) on the accelerating and braking behaviour of drivers with the help of driving simulator experiments. Eighty-two licensed Indian drivers drove on the rural road environment designed in the driving simulator at BAC levels of 0.00%, 0.03%, 0.05%, and 0.08% respectively. Driving performance was analysed with the help of vehicle control performance indicators such as mean acceleration and mean brake pedal force of the participants. Preliminary analysis reported an increase in mean acceleration and mean brake pedal force with increasing BAC levels. Generalized linear mixed models were developed to quantify the effect of different alcohol levels and explanatory variables such as driver’s age, gender and other driver characteristic variables on the driving performance indicators. Alcohol use was reported as a significant factor affecting the accelerating and braking performance of the drivers. The acceleration model results indicated that mean acceleration of the drivers increased by 0.013 m/s², 0.026 m/s² and 0.027 m/s² for the BAC levels of 0.03%, 0.05% and 0.08% respectively. Results of the brake pedal force model reported that mean brake pedal force of the drivers increased by 1.09 N, 1.32 N and 1.44 N for the BAC levels of 0.03%, 0.05% and 0.08% respectively. Age was a significant factor in both the models where one year increase in drivers’ age resulted in 0.2% reduction in mean acceleration and 19% reduction in mean brake pedal force of the drivers. It shows that driving experience could compensate for the negative effects of alcohol to some extent while driving. Female drivers were found to accelerate slower and brake harder as compared to the male drivers which confirmed that female drivers are more conscious about their safety while driving. It was observed that drivers who were regular exercisers had better control on their accelerator pedal as compared to the non-regular exercisers during drunken driving. The findings of the present study revealed that drivers tend to be more aggressive and impulsive under the influence of alcohol which deteriorates their driving performance. Drunk driving state can be differentiated from sober driving state by observing the accelerating and braking behaviour of the drivers. The conclusions may provide reference in making countermeasures against drinking and driving and contribute to traffic safety. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=alcohol" title="alcohol">alcohol</a>, <a href="https://publications.waset.org/abstracts/search?q=acceleration" title=" acceleration"> acceleration</a>, <a href="https://publications.waset.org/abstracts/search?q=braking%20behaviour" title=" braking behaviour"> braking behaviour</a>, <a href="https://publications.waset.org/abstracts/search?q=driving%20simulator" title=" driving simulator"> driving simulator</a> </p> <a href="https://publications.waset.org/abstracts/103683/modelling-the-effect-of-alcohol-consumption-on-the-accelerating-and-braking-behaviour-of-drivers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/103683.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">146</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">593</span> Evaluation of the Impact of Telematics Use on Young Drivers’ Driving Behaviour: A Naturalistic Driving Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=WonSun%20Chen">WonSun Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=James%20Boylan"> James Boylan</a>, <a href="https://publications.waset.org/abstracts/search?q=Erwin%20Muharemovic"> Erwin Muharemovic</a>, <a href="https://publications.waset.org/abstracts/search?q=Denny%20Meyer"> Denny Meyer</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In Australia, drivers aged between 18 and 24 remained at high risk of road fatality over the last decade. Despite the successful implementation of the Graduated Licensing System (GLS) that supports young drivers in their early phases of driving, the road fatality statistics for these drivers remains high. In response to these statistics, studies conducted in Australia prior to the start of the COVID-19 pandemic have demonstrated the benefits of using telematics devices for improving driving behaviour, However, the impact of COVID-19 lockdown on young drivers’ driving behaviour has emerged as a global concern. Therefore, this naturalistic study aimed to evaluate and compare the driving behaviour(such as acceleration, braking, speeding, etc.) of young drivers with the adoption of in-vehicle telematics devices. Forty-two drivers aged between 18 and 30 and residing in the Australian state of Victoria participated in this study during the period of May to October 2022. All participants drove with the telematics devices during the first 30-day. At the start of the second 30-day, twenty-one participants were randomised to an intervention group where they were provided with an additional telematics ray device that provided visual feedback to the drivers, especially when they committed to aggressive driving behaviour. The remaining twenty-one participants remined their driving journeys without the extra telematics ray device (control group). Such trustworthy data enabled the assessment of changes in the driving behaviour of these young drivers using a machine learning approach in Python. Results are expected to show participants from the intervention group will show improvements in their driving behaviour compared to those from the control group.Furthermore, the telematics data enable the assessment and quantification of such improvements in driving behaviour. The findings from this study are anticipated to shed some light in guiding the development of customised campaigns and interventions to further address the high road fatality among young drivers in Australia. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=driving%20behaviour" title="driving behaviour">driving behaviour</a>, <a href="https://publications.waset.org/abstracts/search?q=naturalistic%20study" title=" naturalistic study"> naturalistic study</a>, <a href="https://publications.waset.org/abstracts/search?q=telematics%20data" title=" telematics data"> telematics data</a>, <a href="https://publications.waset.org/abstracts/search?q=young%20drivers" title=" young drivers"> young drivers</a> </p> <a href="https://publications.waset.org/abstracts/158415/evaluation-of-the-impact-of-telematics-use-on-young-drivers-driving-behaviour-a-naturalistic-driving-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/158415.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">124</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">592</span> Drivers of Land Degradation in Trays Ecosystem as Modulated under a Changing Climate: Case Study of Côte d'Ivoire</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kadio%20Valere%20R.%20Angaman">Kadio Valere R. Angaman</a>, <a href="https://publications.waset.org/abstracts/search?q=Birahim%20Bouna%20Niang"> Birahim Bouna Niang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Land degradation is a serious problem in developing countries, including Cote d’Ivoire, which has its economy focused on agriculture. It occurs in all kinds of ecosystems over the world. However, the drivers of land degradation vary from one region to another and from one ecosystem to another. Thus, identifying these drivers is an essential prerequisite to developing and implementing appropriate policies to reverse the trend of land degradation in the country, especially in the trays ecosystem. Using the binary logistic model with primary data obtained through 780 farmers surveyed, we analyze and identify the drivers of land degradation in the trays ecosystem. The descriptive statistics show that 52% of farmers interviewed have stated facing land degradation in their farmland. This high rate shows the extent of land degradation in this ecosystem. Also, the results obtained from the binary logit regression reveal that land degradation is significantly influenced by a set of variables such as sex, education, slope, erosion, pesticide, agricultural activity, deforestation, and temperature. The drivers identified are mostly local; as a result, the government must implement some policies and strategies that facilitate and incentive the adoption of sustainable land management practices by farmers to reverse the negative trend of land degradation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=drivers" title="drivers">drivers</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20degradation" title=" land degradation"> land degradation</a>, <a href="https://publications.waset.org/abstracts/search?q=trays%20ecosystem" title=" trays ecosystem"> trays ecosystem</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20land%20management" title=" sustainable land management"> sustainable land management</a> </p> <a href="https://publications.waset.org/abstracts/148461/drivers-of-land-degradation-in-trays-ecosystem-as-modulated-under-a-changing-climate-case-study-of-cote-divoire" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148461.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">144</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=LULC%20drivers&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=LULC%20drivers&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=LULC%20drivers&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=LULC%20drivers&page=5">5</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=LULC%20drivers&page=6">6</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=LULC%20drivers&page=7">7</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=LULC%20drivers&page=8">8</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=LULC%20drivers&page=9">9</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=LULC%20drivers&page=10">10</a></li> <li class="page-item disabled"><span class="page-link">...</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=LULC%20drivers&page=20">20</a></li> <li class="page-item"><a class="page-link" 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