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real estate</title> <meta name="description" content="Search results for: sustainable real estate"> <meta name="keywords" content="sustainable real estate"> <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 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action="https://publications.waset.org/abstracts/search"> <div 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="sustainable real estate"> <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> 9688</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: sustainable real estate</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">9688</span> The Real Estate Market Sustainability Concept and Its Implementation in Management of Real Estate Companies</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Linda%20Kau%C5%A1kale">Linda Kauškale</a>, <a href="https://publications.waset.org/abstracts/search?q=Ineta%20Geipele"> Ineta Geipele</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Due to the rapidly changing external environment, portfolio management strategies became closely interconnected with real estate industry development and macroeconomic development tendencies. The aim of the research is to analyze sustainable real estate market development influencing factors, with particular focus on its economic and management aspects that influences real estate investment decisions as well. Scientific literature and article analysis, data analysis, expert evaluation, and other quantitative and qualitative research methods were used in the research. Developed real estate market sustainability model and index analysis approach can be applied by investors and real estate companies in real estate asset management and can help in risk minimization activities in international entrepreneurship. Future research directions have been identified in the research as well. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=indexes" title="indexes">indexes</a>, <a href="https://publications.waset.org/abstracts/search?q=investment%20decisions" title=" investment decisions"> investment decisions</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20estate%20market" title=" real estate market"> real estate market</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainability" title=" sustainability"> sustainability</a> </p> <a href="https://publications.waset.org/abstracts/64130/the-real-estate-market-sustainability-concept-and-its-implementation-in-management-of-real-estate-companies" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/64130.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">360</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">9687</span> Price Heterogeneity in Establishing Real Estate Composite Price Index as Underlying Asset for Property Derivatives in Russia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Andrey%20Matyukhin">Andrey Matyukhin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Russian official statistics have been showing a steady decline in residential real estate prices for several consecutive years. Price risk in real estate markets is thus affecting various groups of economic agents, namely, individuals, construction companies and financial institutions. Potential use of property derivatives might help mitigate adverse consequences of negative price dynamics. Unless a sustainable price indicator is developed, settlement of such instruments imposes constraints on counterparties involved while imposing restrictions on real estate market development. The study addresses geographical and classification heterogeneity in real estate prices by means of variance analysis in various groups of real estate properties. In conclusion, we determine optimal sample structure of representative real estate assets with sufficient level of price homogeneity. The composite price indicator based on the sample would have a higher level of robustness and reliability and hence improving liquidity in the market for property derivatives through underlying standardization. Unlike the majority of existing real estate price indices, calculated on country-wide basis, the optimal indices for Russian market shall be constructed on the city-level. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=price%20homogeneity" title="price homogeneity">price homogeneity</a>, <a href="https://publications.waset.org/abstracts/search?q=property%20derivatives" title=" property derivatives"> property derivatives</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20estate%20price%20index" title=" real estate price index"> real estate price index</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20estate%20price%20risk" title=" real estate price risk"> real estate price risk</a> </p> <a href="https://publications.waset.org/abstracts/84668/price-heterogeneity-in-establishing-real-estate-composite-price-index-as-underlying-asset-for-property-derivatives-in-russia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/84668.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">307</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">9686</span> The Relationship between Urbanization and the Rapid Development of Real Estate Industry in China: Taking Chongqing as an Example</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Deng%20Tingting">Deng Tingting</a> </p> <p class="card-text"><strong>Abstract:</strong></p> There is a very close interaction between the rapid development of the real estate industry and regional urbanization. The real estate problem can be boiled down to the problem of urbanization, in essence. The growth of hundreds of millions of people in the future will determine the development of low-level demand in the real estate market. At the same time, the practical problems of urbanization also seriously restrict the healthy development of real estate itself. The latter two interact with each other by adjusting the industrial structure, economic aggregate, regional population flow, and many other linkage factors. Through the case analysis of Chongqing, this paper finds that the urbanization of Chongqing and the overall development level of the real estate industry are still in the stage of development and upgrading, and its development potential and future development and application space are still very large. Therefore, from the perspective of the regional economy, studying the interaction between the two is of great significance to accelerate the process of urbanization in Chongqing, promote the healthy development of the real estate industry, and promote the rapid growth of the regional economy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=urbanization" title="urbanization">urbanization</a>, <a href="https://publications.waset.org/abstracts/search?q=demographics" title=" demographics"> demographics</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20estate" title=" real estate"> real estate</a>, <a href="https://publications.waset.org/abstracts/search?q=interrelationships" title=" interrelationships"> interrelationships</a> </p> <a href="https://publications.waset.org/abstracts/158200/the-relationship-between-urbanization-and-the-rapid-development-of-real-estate-industry-in-china-taking-chongqing-as-an-example" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/158200.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">9685</span> Influence Analysis of Macroeconomic Parameters on Real Estate Price Variation in Taipei, Taiwan</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Li%20Li">Li Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Kai-Hsuan%20Chu"> Kai-Hsuan Chu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> It is well known that the real estate price depends on a lot of factors. Each house current value is dependent on the location, room number, transportation, living convenience, year and surrounding environments. Although, there are different experienced models for housing agent to estimate the price, it is a case by case study without overall dynamic variation investigation. However, many economic parameters may more or less influence the real estate price variation. Here, the influences of most macroeconomic parameters on real estate price are investigated individually based on least-square scheme and grey correlation strategy. Then those parameters are classified into leading indices, simultaneous indices and laggard indices. In addition, the leading time period is evaluated based on least square method. The important leading and simultaneous indices can be used to establish an artificial intelligent neural network model for real estate price variation prediction. The real estate price variation of Taipei, Taiwan during 2005 ~ 2017 are chosen for this research data analysis and validation. The results show that the proposed method has reasonable prediction function for real estate business reference. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=real%20estate%20price" title="real estate price">real estate price</a>, <a href="https://publications.waset.org/abstracts/search?q=least-square" title=" least-square"> least-square</a>, <a href="https://publications.waset.org/abstracts/search?q=grey%20correlation" title=" grey correlation"> grey correlation</a>, <a href="https://publications.waset.org/abstracts/search?q=macroeconomics" title=" macroeconomics"> macroeconomics</a> </p> <a href="https://publications.waset.org/abstracts/100459/influence-analysis-of-macroeconomic-parameters-on-real-estate-price-variation-in-taipei-taiwan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/100459.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">198</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">9684</span> REITs India- New Investment Avenue for Financing Urban Infrastructure in India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rajat%20Kapoor">Rajat Kapoor</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Indian Real Estate sector is the second largest employer after agriculture and is slated to grow at 30 percent over the next decade. Indian cities have shown tumultuous growth since last two decades. With the growing need of infrastructure, it has become inevitable for real estate sector to adopt more organized and transparent system of investment. SPVs such as REITs ensure transparency facilitating accessibility to invest in real estate for those who find it difficult to purchase real estate as an investment option with a realistic income expectation from their investment. RIETs or real estate investment trusts is an instrument of pooling funds similar to that of mutual funds. In a simpler term REIT is an Investment Vehicle in the form a trust which holds & manages large commercial rent¬ earning properties on behalf of investors and distributes most of its profit as dividends. REIT enables individual investors to invest their money in commercial real estate assets in a diversified portfolio and on the other hand provides fiscal liquidity to developers as easy exit option and channel funds for new projects. However, the success REIT is very much dependent on the taxation structure making such models attractive and adaptive enough for both developers and investors to opt for such investment option. This paper is intended to capture an overview of REITs with context to Indian real estate scenario. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Indian%20real%20estate" title="Indian real estate">Indian real estate</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20estate%20infrastructure%20trusts" title=" real estate infrastructure trusts"> real estate infrastructure trusts</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20finance" title=" urban finance"> urban finance</a>, <a href="https://publications.waset.org/abstracts/search?q=infrastructure%20investment%20trusts" title=" infrastructure investment trusts"> infrastructure investment trusts</a> </p> <a href="https://publications.waset.org/abstracts/33069/reits-india-new-investment-avenue-for-financing-urban-infrastructure-in-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/33069.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">467</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">9683</span> Female’s Involvement in Real Estate Business in Nigeria: A Case Study of Lagos State</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Osaretin%20Rosemary%20Uyi">Osaretin Rosemary Uyi</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20O.%20Ogungbemi"> A. O. Ogungbemi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Female involvement in policy making and partnership in a man-driven-world is fast gaining international recognition. The Nigeria commercial real estate is one of the sectors of the economy that has a significant number of the male in the business. This study was conducted to assess the participation of females in estate management in Lagos state, Nigeria. Lagos is the commercial nerve center of Nigeria having the highest number of real estate practitioners and investors. The population due to the daily influx of people has made real estate business to continue to grow in this part of Nigeria. A structured questionnaire duly pre-tested and validated was used to elicit information from the respondents. The data collected were presented using tables and charts and were analyzed using descriptive statistical tools such as frequency counts, percentages, were used to test the hypothesis. The results also indicated that most females that participated in commercial real estate business are educated (80%), fell within 31-40 years of age (75%) and of high income status (88%) earn above ₦800,000 per year, while 10% are real estate investors and 82% of the female in the sector are employee. The study concluded that the number of female participating in various aspect of commercial real estate business in the study area was moderate while the numbers of female investors are low when compared to male. This might be due to the problems associated with rent collection, land disputes and other issues that are associated with property management in Nigeria. It is therefore recommended that females in real estate should be empowered and encouraged to match with their male counterpart. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=commercial%20real%20estate" title="commercial real estate">commercial real estate</a>, <a href="https://publications.waset.org/abstracts/search?q=empowerment" title=" empowerment"> empowerment</a>, <a href="https://publications.waset.org/abstracts/search?q=female" title=" female"> female</a>, <a href="https://publications.waset.org/abstracts/search?q=participation" title=" participation"> participation</a>, <a href="https://publications.waset.org/abstracts/search?q=property%20management" title=" property management"> property management</a> </p> <a href="https://publications.waset.org/abstracts/34399/females-involvement-in-real-estate-business-in-nigeria-a-case-study-of-lagos-state" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/34399.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">332</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">9682</span> The Impact of Biodiversity and Urban Ecosystem Services in Real Estate</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Carmen%20Cantuarias-Villessuzanne">Carmen Cantuarias-Villessuzanne</a>, <a href="https://publications.waset.org/abstracts/search?q=Jeffrey%20Blain"> Jeffrey Blain</a>, <a href="https://publications.waset.org/abstracts/search?q=Radmila%20Pineau"> Radmila Pineau</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Our research project aims at analyzing the sensitiveness of French households to urban biodiversity and urban ecosystem services (UES). Opinion surveys show that the French population is sensitive to biodiversity and ecosystem services loss, but the value given to these issues within urban fabric and real estate market lacks evidence. Using GIS data and economic evaluation, by hedonic price methods, weassess the isolated contribution of the explanatory variables of biodiversityand UES on the price of residential real estate. We analyze the variation of the valuefor three urban ecosystem services - flood control, proximity to green spaces, and refreshment - on the price of real estate whena property changes ownership. Our modeling and mapping focus on the price at theIRIS scale (statistical information unit) from 2014 to 2019. The main variables are internal characteristics of housing (area, kind of housing, heating), external characteristics(accessibility and infrastructure, economic, social, and physical environmentsuch as air pollution, noise), and biodiversity indicators and urban ecosystemservices for the Ile-de-France region. Moreover, we compare environmental values on the enhancement of greenspaces and their impact on residential choices. These studies are very useful for real estate developers because they enable them to promote green spaces, and municipalities to become more attractive. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=urban%20ecosystem%20services" title="urban ecosystem services">urban ecosystem services</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20real%20estate" title=" sustainable real estate"> sustainable real estate</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20biodiversity%20perception" title=" urban biodiversity perception"> urban biodiversity perception</a>, <a href="https://publications.waset.org/abstracts/search?q=hedonic%20price" title=" hedonic price"> hedonic price</a>, <a href="https://publications.waset.org/abstracts/search?q=environmental%20values" title=" environmental values"> environmental values</a> </p> <a href="https://publications.waset.org/abstracts/147354/the-impact-of-biodiversity-and-urban-ecosystem-services-in-real-estate" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/147354.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">132</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">9681</span> Understanding How Money Laundering and Financing of Terrorism Are Conducted through the Real Estate Sector in the Middle East and North Africa Region</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Haytham%20Yassine">Haytham Yassine</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research seeks to identify how money laundering activities are executed through the real estate sector. This article provides academics with literature on the topic and provides scholars, and practitioners with a better understanding of the risks and challenges involved. Data are gathered through survey in the Middle East and North Africa region and review of the available research. The results of the analysis will help identifying the factors attracting criminals to the real estate sector and develop an understanding of the methods used to launder illicit funds through this sector and the indicators of suspicion for reporting entities. Further analysis reveals the risks posed by money laundering and terrorist financing on the real estate sector and challenges facing states in this regard. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=money%20laundering" title="money laundering">money laundering</a>, <a href="https://publications.waset.org/abstracts/search?q=terrorism%20financing" title=" terrorism financing"> terrorism financing</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20estate%20sector" title=" real estate sector"> real estate sector</a>, <a href="https://publications.waset.org/abstracts/search?q=Middle%20East%20and%20North%20Africa" title=" Middle East and North Africa"> Middle East and North Africa</a> </p> <a href="https://publications.waset.org/abstracts/110230/understanding-how-money-laundering-and-financing-of-terrorism-are-conducted-through-the-real-estate-sector-in-the-middle-east-and-north-africa-region" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/110230.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">158</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">9680</span> Analyzing Investors and Building Users Perception of Green Real Estate Development Projects: The Case of Bahrain</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fay%20A.%20Al-Khalifa">Fay A. Al-Khalifa</a>, <a href="https://publications.waset.org/abstracts/search?q=Fariel%20Khan"> Fariel Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=Anamika%20Jiwane"> Anamika Jiwane</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Responding to some governmentally enforced building sustainability criteria is today becoming an unavoidable challenge to the real estate development industry and is no longer an extra that allows developers to gain competitive advantages. Previous studies suggested that using green technologies, if done under the right circumstances, could lead to positive incentives, tax breaks, higher rents, cost savings and higher property values in the long run. This is all in addition to the marketing benefits of the green label. There are, however, still countries, mostly in the developing world, that lack the implementation of such sustainability guidelines and assessment tools. This research aspires to investigate the market’s readiness to implement such criteria, its perception of sustainable architecture and building users motivation to use and/or invest in sustainable buildings. The study showed via a survey administered to 385 inhabitants and investors in commercial real estate in Bahrain that the respondents have a limited understanding of the benefits of green buildings and are unlikely to want to occupy or invest in a green building under the current social, economic and industrial conditions. Reliability of green technology, effectiveness, price and the questionable long-term financial benefits were among the major concerns. The study suggests that the promotion of sustainable architecture should respond to the current market concerns in a more direct way to trigger an interest in investors and users of commercial real estate project. This stimulated attention should consequently encourage developers to consider incorporating sustainability measures, apply for green building assessment programs and invest in green technologies, all of which need higher capitals that are nonetheless financially justifiable on the long run. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=investment" title="investment">investment</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20estate" title=" real estate"> real estate</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainability" title=" sustainability"> sustainability</a>, <a href="https://publications.waset.org/abstracts/search?q=clients%20perception" title=" clients perception"> clients perception</a>, <a href="https://publications.waset.org/abstracts/search?q=Bahrain" title=" Bahrain"> Bahrain</a> </p> <a href="https://publications.waset.org/abstracts/86587/analyzing-investors-and-building-users-perception-of-green-real-estate-development-projects-the-case-of-bahrain" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/86587.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">157</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">9679</span> Activity-Based Safety Assessment of Real Estate Projects in Western India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Patel%20Parul">Patel Parul</a>, <a href="https://publications.waset.org/abstracts/search?q=Harsh%20Ganvit"> Harsh Ganvit</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The construction industry is the second highest industry after agriculture provides employment in India. In developing countries like India, many construction projects are coming up to meet the demand. On the one hand, construction projects are increasing; on the other hand still, construction companies are struggling with many problems. One of the major problems is to ensure safe working conditions at the construction site. Due to a lack of safety awareness and ignorance of safety aspects, many fatal accidents are very common at the construction site in India. One of the key success factors for construction projects is “Accident-Free Construction Projects”. The construction projects can be divided into various categories like Infrastructure projects, industrial construction and real estate construction. Real estate projects are mainly comprised of commercial and residential projects. In the construction industry, private sectors play a huge role in urban and rural development and also contribute significantly to the growth of the nation. Infrastructure and Industrial projects are mainly executed by well-qualified construction contractors. For such projects, ensuring safety at construction projects is inevitable and probably one of the major clauses of contract documents as well. These projects are monitored from time to time by national agencies and researchers, too. However, Real estate projects are rarely monitored for safety aspects. No systematic contract system is followed for these projects. Safety is the most neglected aspect of these projects. In the current research projects, an attempt is made to carry out safety auditing for about 75 real estate projects. The objective of this work is to collect the activity-based safety survey of real estate projects in western India. The analysis of activity-based safety implementation for real estate projects is discussed in the present work. The activities are divided into three categories based on the data collected. The findings of this work will help local monitoring authorities to implement a safety management plan for real estate projects. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=construction%20safety" title="construction safety">construction safety</a>, <a href="https://publications.waset.org/abstracts/search?q=safety%20assessment" title=" safety assessment"> safety assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=activity-based%20safety" title=" activity-based safety"> activity-based safety</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20estate%20projects" title=" real estate projects"> real estate projects</a> </p> <a href="https://publications.waset.org/abstracts/182728/activity-based-safety-assessment-of-real-estate-projects-in-western-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/182728.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">55</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">9678</span> Risk and Impact of the COVID-19 Crisis on Real Estate</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tahmina%20Akhter">Tahmina Akhter</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the present work, we make a study of the repercussions of the pandemic generated by Covid-19 in the real estate market, this disease has affected almost all sectors of the economy across different countries in the world, including the real estate markets. This documentary research, basically focused on the years 2021 and 2022, as we seek to focus on the strongest time of the pandemic. We carried out the study trying to take into account the repercussions throughout the world and that is why the data we analyze takes into account information from all continents as possible. Particularly in the US, Europe and China where the Covid-19 impact has been of such proportions that it has fundamentally affected the housing market for middle-class housing. In addition, a risk has been generated, the investment of this market, due to the fact that companies in the sector have generated losses in certain cases; in the Chinese case, Evergrande, one of the largest companies in the sector, fell into default. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=COVID-19" title="COVID-19">COVID-19</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20estate%20market" title=" real estate market"> real estate market</a>, <a href="https://publications.waset.org/abstracts/search?q=statistics" title=" statistics"> statistics</a>, <a href="https://publications.waset.org/abstracts/search?q=pandemic" title=" pandemic"> pandemic</a> </p> <a href="https://publications.waset.org/abstracts/165427/risk-and-impact-of-the-covid-19-crisis-on-real-estate" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165427.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">85</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">9677</span> The Effect of War on Spatial Differentiation of Real Estate Values and Urban Disorder in Damascus Metropolitan Area</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mounir%20Azzam">Mounir Azzam</a>, <a href="https://publications.waset.org/abstracts/search?q=Valerie%20Graw"> Valerie Graw</a>, <a href="https://publications.waset.org/abstracts/search?q=Andreas%20Rienow"> Andreas Rienow</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Syrian war, which commenced in 2011, has resulted in significant changes in the real estate market in the Damascus metropolitan area, with rising levels of insecurity and disputes over tenure rights. The quest for spatial justice is, therefore, imperative, and this study performs a spatiotemporal analysis to investigate the impact of the war on real estate differentiation. Using the hedonic price models including 2,411 housing transactions over the period 2010-2022, this study aims to understand the spatial dynamics of the real estate market in wartime. Our findings indicate that war variables have had a significant impact on the differentiation and depreciation of property prices. Notably, property attributes have a more substantial impact on real estate values than district location, with severely damaged buildings in Damascus city resulting in an 89% decline in prices, while prices in Rural Damascus districts have decreased by 50%. Additionally, this study examines the urban texture of Damascus using correlation and homogeneity statistics derived from the gray-level co-occurrence matrix obtained from Google Earth Engine. We monitored 250 samples from hedonic datasets within three different years of the Syrian war (2015, 2019, and 2022). Our findings show that correlation values were highly differentiated, particularly among Rural Damascus districts, with a total decline of 87.2%. While homogeneity values decreased overall between 2015 and 2019, they improved slightly after 2019. The findings have valuable implications, not only for investment prospects in setting up a successful reconstruction strategy but also for spatial justice of property rights in strongly encouraging sustainable real estate development. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hedonic%20price" title="hedonic price">hedonic price</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20estate%20differentiation" title=" real estate differentiation"> real estate differentiation</a>, <a href="https://publications.waset.org/abstracts/search?q=reconstruction%20strategy" title=" reconstruction strategy"> reconstruction strategy</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20justice" title=" spatial justice"> spatial justice</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20texture%20analysis" title=" urban texture analysis"> urban texture analysis</a> </p> <a href="https://publications.waset.org/abstracts/175218/the-effect-of-war-on-spatial-differentiation-of-real-estate-values-and-urban-disorder-in-damascus-metropolitan-area" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/175218.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">87</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">9676</span> Integrating Artificial Neural Network and Taguchi Method on Constructing the Real Estate Appraisal Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mu-Yen%20Chen">Mu-Yen Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Min-Hsuan%20Fan"> Min-Hsuan Fan</a>, <a href="https://publications.waset.org/abstracts/search?q=Chia-Chen%20Chen"> Chia-Chen Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Siang-Yu%20Jhong"> Siang-Yu Jhong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years, real estate prediction or valuation has been a topic of discussion in many developed countries. Improper hype created by investors leads to fluctuating prices of real estate, affecting many consumers to purchase their own homes. Therefore, scholars from various countries have conducted research in real estate valuation and prediction. With the back-propagation neural network that has been popular in recent years and the orthogonal array in the Taguchi method, this study aimed to find the optimal parameter combination at different levels of orthogonal array after the system presented different parameter combinations, so that the artificial neural network obtained the most accurate results. The experimental results also demonstrated that the method presented in the study had a better result than traditional machine learning. Finally, it also showed that the model proposed in this study had the optimal predictive effect, and could significantly reduce the cost of time in simulation operation. The best predictive results could be found with a fewer number of experiments more efficiently. Thus users could predict a real estate transaction price that is not far from the current actual prices. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20network" title="artificial neural network">artificial neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=Taguchi%20method" title=" Taguchi method"> Taguchi method</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20estate%20valuation%20model" title=" real estate valuation model"> real estate valuation model</a>, <a href="https://publications.waset.org/abstracts/search?q=investors" title=" investors"> investors</a> </p> <a href="https://publications.waset.org/abstracts/12958/integrating-artificial-neural-network-and-taguchi-method-on-constructing-the-real-estate-appraisal-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/12958.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">489</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">9675</span> Legal Warranty in Real Estate Registry in Albania</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Elona%20Saliaj">Elona Saliaj</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The registration of real estate in Albania after the 90's has been a long process in time and with high cost for the country. Passing the registration system from a centralized system to a free market private system, it’s accompanied by legal uncertainties that have led to economic instability. The reforms that have been undertaken in terms of property rights have been numerous and continuous throughout the years. But despite the reforms, the system of registration of real estate, has failed to be standards requirements established by the European Union. The completion of initial registration of real estate, legal treatment of previous owners or legalization of illegal constructions remain among the main problems that prevent the development of the country in its economic sector. The performance of the registration of real estate system and dealing with issues that have appeared in the Court of First Instance, the civil section of the Albanian constitute the core of handling this analysis. This paper presents a detailed analysis on the registration system that is chosen to be applied in our country for real estate. In its content it is also determined the institution that administrates these properties, the management technique and the law that determinate its functionality. The strategy is determined for creating a modern and functional registration system and for the country remains a challenge to achieve. Identifying practical problems and providing their solutions are also the focus of reference in order to improve and modernize this important system to a state law that aims to become a member of the European Union. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=real%20estates%20registration%20system" title="real estates registration system">real estates registration system</a>, <a href="https://publications.waset.org/abstracts/search?q=comparative%20aspects" title=" comparative aspects"> comparative aspects</a>, <a href="https://publications.waset.org/abstracts/search?q=cadastral%20area" title=" cadastral area"> cadastral area</a>, <a href="https://publications.waset.org/abstracts/search?q=property%20certificate" title=" property certificate"> property certificate</a>, <a href="https://publications.waset.org/abstracts/search?q=legal%20reform" title=" legal reform"> legal reform</a> </p> <a href="https://publications.waset.org/abstracts/23609/legal-warranty-in-real-estate-registry-in-albania" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23609.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">491</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">9674</span> Stacking Ensemble Approach for Combining Different Methods in Real Estate Prediction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sol%20Girouard">Sol Girouard</a>, <a href="https://publications.waset.org/abstracts/search?q=Zona%20Kostic"> Zona Kostic</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A home is often the largest and most expensive purchase a person makes. Whether the decision leads to a successful outcome will be determined by a combination of critical factors. In this paper, we propose a method that efficiently handles all the factors in residential real estate and performs predictions given a feature space with high dimensionality while controlling for overfitting. The proposed method was built on gradient descent and boosting algorithms and uses a mixed optimizing technique to improve the prediction power. Usually, a single model cannot handle all the cases thus our approach builds multiple models based on different subsets of the predictors. The algorithm was tested on 3 million homes across the U.S., and the experimental results demonstrate the efficiency of this approach by outperforming techniques currently used in forecasting prices. With everyday changes on the real estate market, our proposed algorithm capitalizes from new events allowing more efficient predictions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=real%20estate%20prediction" title="real estate prediction">real estate prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=gradient%20descent" title=" gradient descent"> gradient descent</a>, <a href="https://publications.waset.org/abstracts/search?q=boosting" title=" boosting"> boosting</a>, <a href="https://publications.waset.org/abstracts/search?q=ensemble%20methods" title=" ensemble methods"> ensemble methods</a>, <a href="https://publications.waset.org/abstracts/search?q=active%20learning" title=" active learning"> active learning</a>, <a href="https://publications.waset.org/abstracts/search?q=training" title=" training"> training</a> </p> <a href="https://publications.waset.org/abstracts/90597/stacking-ensemble-approach-for-combining-different-methods-in-real-estate-prediction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/90597.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">277</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">9673</span> Real Estate Rigidities: The Effect of Cash Transactions and the Impact of Demonetisation on Them</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dishant%20Shahi">Dishant Shahi</a>, <a href="https://publications.waset.org/abstracts/search?q=Aradhya%20Shandilya"> Aradhya Shandilya</a>, <a href="https://publications.waset.org/abstracts/search?q=Nand%20Kumar"> Nand Kumar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We study here the impact of the black component referred to as X component in the text on Real estate transactions. The X component involved not only acts as friction in transaction but also leads to dysfunctionality in the capital market of real estate. The effect of the component is presented by using a model of economy which seeks resemblance with that of India involving property deals. The rigidities which hinder smooth transactions in property or land deals are depicted and their impact on the economy as a whole has been modelled. The effect of subprime crisis (2007) on Indian housing capital market and the role which the X component played during it, is also included in one of the sections. In the entire text, we have utilised 4 Quadrant graphs to study supply and demand causalities involved in commercial real estate. At the end we have included the impact of demonetisation as a move to counter the problem of overvaluation in the property assets arising due to the X component. The case of Demonetisation which has been the latest move by the Indian Government to control huge amount of black money in circulation has been included along with its impact on the housing and rent as well as the capital market. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=X-component" title="X-component">X-component</a>, <a href="https://publications.waset.org/abstracts/search?q=4Q%20graph" title=" 4Q graph"> 4Q graph</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20estate" title=" real estate"> real estate</a>, <a href="https://publications.waset.org/abstracts/search?q=capital%20markets" title=" capital markets"> capital markets</a>, <a href="https://publications.waset.org/abstracts/search?q=demonetisation" title=" demonetisation"> demonetisation</a>, <a href="https://publications.waset.org/abstracts/search?q=consumer%20sentiments" title=" consumer sentiments"> consumer sentiments</a> </p> <a href="https://publications.waset.org/abstracts/73001/real-estate-rigidities-the-effect-of-cash-transactions-and-the-impact-of-demonetisation-on-them" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73001.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">364</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">9672</span> A Neural Network Classifier for Identifying Duplicate Image Entries in Real-Estate Databases</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sergey%20Ermolin">Sergey Ermolin</a>, <a href="https://publications.waset.org/abstracts/search?q=Olga%20Ermolin"> Olga Ermolin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A Deep Convolution Neural Network with Triplet Loss is used to identify duplicate images in real-estate advertisements in the presence of image artifacts such as watermarking, cropping, hue/brightness adjustment, and others. The effects of batch normalization, spatial dropout, and various convergence methodologies on the resulting detection accuracy are discussed. For comparative Return-on-Investment study (per industry request), end-2-end performance is benchmarked on both Nvidia Titan GPUs and Intel’s Xeon CPUs. A new real-estate dataset from San Francisco Bay Area is used for this work. Sufficient duplicate detection accuracy is achieved to supplement other database-grounded methods of duplicate removal. The implemented method is used in a Proof-of-Concept project in the real-estate industry. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=visual%20recognition" title="visual recognition">visual recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=convolutional%20neural%20networks" title=" convolutional neural networks"> convolutional neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=triplet%20loss" title=" triplet loss"> triplet loss</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20batch%20normalization%20with%20dropout" title=" spatial batch normalization with dropout"> spatial batch normalization with dropout</a>, <a href="https://publications.waset.org/abstracts/search?q=duplicate%20removal" title=" duplicate removal"> duplicate removal</a>, <a href="https://publications.waset.org/abstracts/search?q=advertisement%20technologies" title=" advertisement technologies"> advertisement technologies</a>, <a href="https://publications.waset.org/abstracts/search?q=performance%20benchmarking" title=" performance benchmarking"> performance benchmarking</a> </p> <a href="https://publications.waset.org/abstracts/73918/a-neural-network-classifier-for-identifying-duplicate-image-entries-in-real-estate-databases" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73918.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">338</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">9671</span> Accountants and Anti-Money Laundering Compliance in the Real Estate Sector</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mark%20E.%20Lokanan">Mark E. Lokanan</a>, <a href="https://publications.waset.org/abstracts/search?q=Liz%20Lee"> Liz Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper aims to examine the role of accountants as gatekeepers in anti-money laundering compliance in real estate transactions. The paper seeks to answer questions on ways in which accountants are involved in real estate transactions and mandatory compliance with regulatory authorities in Canada. The data for the study came from semi-structured interviews with accountants, lawyers, and government officials. Preliminary results reveal that there is a conflict between accountants’ obligation to disclose and loyalty to their clients. Accountants often do not see why they are obligated to disclose their clients' information to government agencies. The importance of the client in terms of the amount of revenue contributed to the accounting firm also plays a significant role in accountants' reporting decision-making process. Although the involvement of accountants in real estate purchase and sale transactions is limited to lawyers or notaries, they are often involved in designing financing schemes, which may involve money laundering activities. The paper is of wider public policy interests to both accountants and regulators. It is hard not to see Chartered Professional Accountant (CPA) Canada and government regulators using the findings to better understand the decision-making processes of accountants in their reporting practices to regulatory authorities. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=money%20laundering" title="money laundering">money laundering</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20estate" title=" real estate"> real estate</a>, <a href="https://publications.waset.org/abstracts/search?q=disclosure" title=" disclosure"> disclosure</a>, <a href="https://publications.waset.org/abstracts/search?q=legislation" title=" legislation"> legislation</a>, <a href="https://publications.waset.org/abstracts/search?q=compliance" title=" compliance"> compliance</a> </p> <a href="https://publications.waset.org/abstracts/93114/accountants-and-anti-money-laundering-compliance-in-the-real-estate-sector" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/93114.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">231</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">9670</span> Addressing the Gap in Health and Wellbeing Evidence for Urban Real Estate Brownfield Asset Management Social Needs and Impact Analysis Using Systems Mapping Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kathy%20Pain">Kathy Pain</a>, <a href="https://publications.waset.org/abstracts/search?q=Nalumino%20Akakandelwa"> Nalumino Akakandelwa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study explores the potential to fill a gap in health and wellbeing evidence for purposeful urban real estate asset management to make investment a powerful force for societal good. Part of a five-year programme investigating the root causes of unhealthy urban development funded by the United Kingdom Prevention Research Partnership (UKPRP), the study pilots the use of a systems mapping approach to identify drivers and barriers to the incorporation of health and wellbeing evidence in urban brownfield asset management decision-making. Urban real estate not only provides space for economic production but also contributes to the quality of life in the local community. Yet market approaches to urban land use have, until recently, insisted that neo-classical technology-driven efficient allocation of economic resources should inform acquisition, operational, and disposal decisions. Buildings in locations with declining economic performance have thus been abandoned, leading to urban decay. Property investors are recognising the inextricable connection between sustainable urban production and quality of life in local communities. The redevelopment and operation of brownfield assets recycle existing buildings, minimising embodied carbon emissions. It also retains established urban spaces with which local communities identify and regenerate places to create a sense of security, economic opportunity, social interaction, and quality of life. Social implications of urban real estate on health and wellbeing and increased adoption of benign sustainability guidance in urban production are driving the need to consider how they affect brownfield real estate asset management decisions. Interviews with real estate upstream decision-makers in the study, find that local social needs and impact analysis is becoming a commercial priority for large-scale urban real estate development projects. Evidence of the social value-added of proposed developments is increasingly considered essential to secure local community support and planning permissions, and to attract sustained inward long-term investment capital flows for urban projects. However, little is known about the contribution of population health and wellbeing to socially sustainable urban projects and the monetary value of the opportunity this presents to improve the urban environment for local communities. We report early findings from collaborations with two leading property companies managing major investments in brownfield urban assets in the UK to consider how the inclusion of health and wellbeing evidence in social valuation can inform perceptions of brownfield development social benefit for asset managers, local communities, public authorities and investors for the benefit of all parties. Using holistic case studies and systems mapping approaches, we explore complex relationships between public health considerations and asset management decisions in urban production. Findings indicate a strong real estate investment industry appetite and potential to include health as a vital component of sustainable real estate social value creation in asset management strategies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=brownfield%20urban%20assets" title="brownfield urban assets">brownfield urban assets</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20and%20wellbeing" title=" health and wellbeing"> health and wellbeing</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20needs%20and%20impact" title=" social needs and impact"> social needs and impact</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20valuation" title=" social valuation"> social valuation</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20real%20estate" title=" sustainable real estate"> sustainable real estate</a>, <a href="https://publications.waset.org/abstracts/search?q=systems%20mapping" title=" systems mapping"> systems mapping</a> </p> <a href="https://publications.waset.org/abstracts/181594/addressing-the-gap-in-health-and-wellbeing-evidence-for-urban-real-estate-brownfield-asset-management-social-needs-and-impact-analysis-using-systems-mapping-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/181594.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">69</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">9669</span> Consumer Behavior and the Demand for Sustainable Buildings in an Emerging Market: The Example of Brazil</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vin%C3%ADcius%20L.%20L.%20Morrone">Vinícius L. L. Morrone</a>, <a href="https://publications.waset.org/abstracts/search?q=David%20Douek"> David Douek</a>, <a href="https://publications.waset.org/abstracts/search?q=Helder%20M.%20F.%20Pereira"> Helder M. F. Pereira</a>, <a href="https://publications.waset.org/abstracts/search?q=Bernadete%20L.%20M.%20Grandolpho"> Bernadete L. M. Grandolpho</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This work aimed to identify the relationships between the level of consumer environmental awareness and their search for sustainable properties, as well as to understand the main sustainability structures considered by these consumers during the decision process. Additionally, the paper looked up to the influence environmental awareness and financial status have over the disposition of buyers to pay more for sustainable properties. To achieve these objectives, 318 questionnaires were answered electronically, after being sent to the Green Building Brazil email basis, as to other Real Estate developers client basis. From all the questionnaires answered, 71 were discarded, leaving a total amount of 247 admitted questionnaires to be analyzed. The responses were evaluated based on the theory of consumer decision making, especially on the influence factors of this process. The data were processed using a PLS model, using the R software. The results have shown that the level of consumer environmental awareness effectively affects the consumer’s will of acquiring a sustainable property or, at least, a property with some environmental friendly structures. The consumer’s environmental awareness also positively impacts the importance consumers give to individual environmental friendly structures. Also, as a consumer value to those individual structures raises, it is also observed a raise in his will to buy a sustainable property. Additionally, the impact of consumer’s environmental awareness and financial status over the willingness to pay more for a property with those attributes. The results indicate that there was no relationship between consumers' environmental awareness and their willingness to pay more for a sustainable property. On the other hand, the financial status and the family income of the consumers showed a positive relation with the willingness to pay more for a sustainable property. This indicates that consumers with better financial conditions, which according to the analysis do not necessarily have a greater environmental awareness, are those who are willing to pay more for a sustainable property. Thus, this study indicates that, even if the environmental awareness impact positively the demand for sustainable structures and properties, this impact is not price reflected, due to the price elasticity of the consumption, especially for a category of lower income consumers. This paper adds to the literature in the way it projects some guidelines to the consumer’s decision process in the Real Estate market in emerging economies, as well as it presents some drivers to pricing decisions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=consumer%20behavior" title="consumer behavior">consumer behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=environmental%20awareness" title=" environmental awareness"> environmental awareness</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20estate%20pricing" title=" real estate pricing"> real estate pricing</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20buildings" title=" sustainable buildings"> sustainable buildings</a> </p> <a href="https://publications.waset.org/abstracts/78310/consumer-behavior-and-the-demand-for-sustainable-buildings-in-an-emerging-market-the-example-of-brazil" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78310.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">190</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">9668</span> Risk Spillover Between Stock Indices and Real Estate Mixed Copula Modeling</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hina%20Munir%20Abbasi">Hina Munir Abbasi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The current paper examines the relationship and diversification ability of Islamic stock indices /conventional stocks indices and Real Estate Investment Trust (REITs).To represent conditional dependency between stocks and REITs in a more realistic way, new modeling technique, time-varying copula with switching dependence is used. It represents reliance structure more accurately and realistically than a single copula regime as dependence may alter between positive and negative correlation regimes with time. The fluctuating behavior of markets has significant impact on economic variables; especially the downward trend during crisis. Overall addition of Real Estate Investment Trust in stocks portfolio reduces risks and provide better diversification benefit. Results varied depending upon the circumstances of the country. REITs provides better diversification benefits for Islamic Stocks, when both markets are bearish and can provide hedging benefit for conventional stocks portfolio. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=conventional%20stocks" title="conventional stocks">conventional stocks</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20estate%20investment%20trust" title=" real estate investment trust"> real estate investment trust</a>, <a href="https://publications.waset.org/abstracts/search?q=copula" title=" copula"> copula</a>, <a href="https://publications.waset.org/abstracts/search?q=diversification" title=" diversification"> diversification</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20spillover" title=" risk spillover"> risk spillover</a>, <a href="https://publications.waset.org/abstracts/search?q=safe%20heaven" title=" safe heaven"> safe heaven</a> </p> <a href="https://publications.waset.org/abstracts/164977/risk-spillover-between-stock-indices-and-real-estate-mixed-copula-modeling" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/164977.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">84</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">9667</span> Development of a 3D Model of Real Estate Properties in Fort Bonifacio, Taguig City, Philippines Using Geographic Information Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lyka%20Selene%20Magnayi">Lyka Selene Magnayi</a>, <a href="https://publications.waset.org/abstracts/search?q=Marcos%20Vinas"> Marcos Vinas</a>, <a href="https://publications.waset.org/abstracts/search?q=Roseanne%20Ramos"> Roseanne Ramos </a> </p> <p class="card-text"><strong>Abstract:</strong></p> As the real estate industry continually grows in the Philippines, Geographic Information Systems (GIS) provide advantages in generating spatial databases for efficient delivery of information and services. The real estate sector is not only providing qualitative data about real estate properties but also utilizes various spatial aspects of these properties for different applications such as hazard mapping and assessment. In this study, a three-dimensional (3D) model and a spatial database of real estate properties in Fort Bonifacio, Taguig City are developed using GIS and SketchUp. Spatial datasets include political boundaries, buildings, road network, digital terrain model (DTM) derived from Interferometric Synthetic Aperture Radar (IFSAR) image, Google Earth satellite imageries, and hazard maps. Multiple model layers were created based on property listings by a partner real estate company, including existing and future property buildings. Actual building dimensions, building facade, and building floorplans are incorporated in these 3D models for geovisualization. Hazard model layers are determined through spatial overlays, and different scenarios of hazards are also presented in the models. Animated maps and walkthrough videos were created for company presentation and evaluation. Model evaluation is conducted through client surveys requiring scores in terms of the appropriateness, information content, and design of the 3D models. Survey results show very satisfactory ratings, with the highest average evaluation score equivalent to 9.21 out of 10. The output maps and videos obtained passing rates based on the criteria and standards set by the intended users of the partner real estate company. The methodologies presented in this study were found useful and have remarkable advantages in the real estate industry. This work may be extended to automated mapping and creation of online spatial databases for better storage, access of real property listings and interactive platform using web-based GIS. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=geovisualization" title="geovisualization">geovisualization</a>, <a href="https://publications.waset.org/abstracts/search?q=geographic%20information%20systems" title=" geographic information systems"> geographic information systems</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20estate" title=" real estate"> real estate</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20database" title=" spatial database"> spatial database</a>, <a href="https://publications.waset.org/abstracts/search?q=three-dimensional%20model" title=" three-dimensional model"> three-dimensional model</a> </p> <a href="https://publications.waset.org/abstracts/111275/development-of-a-3d-model-of-real-estate-properties-in-fort-bonifacio-taguig-city-philippines-using-geographic-information-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/111275.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">158</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">9666</span> Design for Sustainability</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Qiuying%20Li">Qiuying Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Fan%20Chen"> Fan Chen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> It is a shared opinion that sustainable development requires continuously updated, meaning that apparent changes in the way we usually produce our buildings are strongly needed. In China’s construction field, the associated environmental, health problems are quite prominent.Especially low sustainable performance (as opposed to Green creation) flooding the real estate boom and high-speed urban and rural urbanization. Currently, we urgently need to improve the existing design basis,objectives,scope and procedures,optimization design portfolio.More new evaluation system designed to facilitate the building to enhance the overall level. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=design%20for%20sustainability" title="design for sustainability">design for sustainability</a>, <a href="https://publications.waset.org/abstracts/search?q=design%20and%20materials" title=" design and materials"> design and materials</a>, <a href="https://publications.waset.org/abstracts/search?q=ecomaterials" title=" ecomaterials"> ecomaterials</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20architecture%20and%20urban%20design" title=" sustainable architecture and urban design"> sustainable architecture and urban design</a> </p> <a href="https://publications.waset.org/abstracts/29957/design-for-sustainability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29957.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">521</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">9665</span> Forms of Social Provision for Housing Investments in Local Planning Acts for European Capitals: Comparative Study and Spatial References</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Agata%20Twardoch">Agata Twardoch</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The processes of commodification of real estate and changes in housing markets have led to a situation where the prices of free market housing in European capitals are significantly higher than the purchasing value of average wages. This phenomenon has many negative social and spatial consequences. At the same time, the attractiveness of real estate as an asset makes these processes progress. Out of concern for sustainable social development, city authorities apply solutions to balance the burdensome effects of codification of housing. One of them is a social provision for housing investments. The article presents a comparative study of solutions applied in selected European capitals, on the example of Warsaw, Paris, London, Berlin, Copenhagen, and Vienna. The study was conducted along with works on expert report for the master plan for Warsaw. The forms of commissions applied in Local Planning Acts were compared, with particular reference to spatial solutions. The results of the analysis made it possible to determine common features of the solutions applied and to establish recommendations for further practice. Major findings of the study indicate that requirement of social provision is achievable in spatial planning documents. Study shows that application of social provision in private housing investments is a useful tool in housing policy against commodification. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=affordable%20housing" title="affordable housing">affordable housing</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20provision" title=" housing provision"> housing provision</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20planning" title=" spatial planning"> spatial planning</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20social%20development" title=" sustainable social development"> sustainable social development</a> </p> <a href="https://publications.waset.org/abstracts/119072/forms-of-social-provision-for-housing-investments-in-local-planning-acts-for-european-capitals-comparative-study-and-spatial-references" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/119072.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">179</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">9664</span> Housing Prices and Travel Costs: Insights from Origin-Destination Demand Estimation in Taiwan’s Science Parks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kai-Wei%20Ji">Kai-Wei Ji</a>, <a href="https://publications.waset.org/abstracts/search?q=Dung-Ying%20Lin"> Dung-Ying Lin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study investigates the impact of transportation on housing prices in regions surrounding Taiwan's science parks. As these parks evolve into crucial economic and population growth centers, they attract an increasing number of residents and workers, significantly influencing local housing markets. This demographic shift raises important questions about the role of transportation in shaping real estate values. Our research examines four major science parks in Taiwan, providing a comparative analysis of how transportation conditions and population dynamics interact to affect housing price premiums. We employ an origin-destination (OD) matrix derived from pervasive traffic data to model travel patterns and their effects on real estate values. The methodology utilizes a bi-level framework: a genetic algorithm optimizes OD demand estimation at the upper level, while a user equilibrium (UE) model simulates traffic flow at the lower level. This approach enables a nuanced exploration of how population growth impacts transportation conditions and housing price premiums. By analyzing the interplay between travel costs based on OD demand estimation and housing prices, we offer valuable insights for urban planners and policymakers. These findings are crucial for informed decision-making in rapidly developing areas, where understanding the relationship between mobility and real estate values is essential for sustainable urban development. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=demand%20estimation" title="demand estimation">demand estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20price" title=" housing price"> housing price</a>, <a href="https://publications.waset.org/abstracts/search?q=transportation" title=" transportation"> transportation</a> </p> <a href="https://publications.waset.org/abstracts/191999/housing-prices-and-travel-costs-insights-from-origin-destination-demand-estimation-in-taiwans-science-parks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/191999.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">20</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">9663</span> Optimal Pricing Based on Real Estate Demand Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vanessa%20Kummer">Vanessa Kummer</a>, <a href="https://publications.waset.org/abstracts/search?q=Maik%20Meusel"> Maik Meusel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Real estate demand estimates are typically derived from transaction data. However, in regions with excess demand, transactions are driven by supply and therefore do not indicate what people are actually looking for. To estimate the demand for housing in Switzerland, search subscriptions from all important Swiss real estate platforms are used. These data do, however, suffer from missing information—for example, many users do not specify how many rooms they would like or what price they would be willing to pay. In economic analyses, it is often the case that only complete data is used. Usually, however, the proportion of complete data is rather small which leads to most information being neglected. Also, the data might have a strong distortion if it is complete. In addition, the reason that data is missing might itself also contain information, which is however ignored with that approach. An interesting issue is, therefore, if for economic analyses such as the one at hand, there is an added value by using the whole data set with the imputed missing values compared to using the usually small percentage of complete data (baseline). Also, it is interesting to see how different algorithms affect that result. The imputation of the missing data is done using unsupervised learning. Out of the numerous unsupervised learning approaches, the most common ones, such as clustering, principal component analysis, or neural networks techniques are applied. By training the model iteratively on the imputed data and, thereby, including the information of all data into the model, the distortion of the first training set—the complete data—vanishes. In a next step, the performances of the algorithms are measured. This is done by randomly creating missing values in subsets of the data, estimating those values with the relevant algorithms and several parameter combinations, and comparing the estimates to the actual data. After having found the optimal parameter set for each algorithm, the missing values are being imputed. Using the resulting data sets, the next step is to estimate the willingness to pay for real estate. This is done by fitting price distributions for real estate properties with certain characteristics, such as the region or the number of rooms. Based on these distributions, survival functions are computed to obtain the functional relationship between characteristics and selling probabilities. Comparing the survival functions shows that estimates which are based on imputed data sets do not differ significantly from each other; however, the demand estimate that is derived from the baseline data does. This indicates that the baseline data set does not include all available information and is therefore not representative for the entire sample. Also, demand estimates derived from the whole data set are much more accurate than the baseline estimation. Thus, in order to obtain optimal results, it is important to make use of all available data, even though it involves additional procedures such as data imputation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=demand%20estimate" title="demand estimate">demand estimate</a>, <a href="https://publications.waset.org/abstracts/search?q=missing-data%20imputation" title=" missing-data imputation"> missing-data imputation</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20estate" title=" real estate"> real estate</a>, <a href="https://publications.waset.org/abstracts/search?q=unsupervised%20learning" title=" unsupervised learning"> unsupervised learning</a> </p> <a href="https://publications.waset.org/abstracts/63354/optimal-pricing-based-on-real-estate-demand-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/63354.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">285</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">9662</span> Prediction on Housing Price Based on Deep Learning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Li%20Yu">Li Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Chenlu%20Jiao"> Chenlu Jiao</a>, <a href="https://publications.waset.org/abstracts/search?q=Hongrun%20Xin"> Hongrun Xin</a>, <a href="https://publications.waset.org/abstracts/search?q=Yan%20Wang"> Yan Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Kaiyang%20Wang"> Kaiyang Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In order to study the impact of various factors on the housing price, we propose to build different prediction models based on deep learning to determine the existing data of the real estate in order to more accurately predict the housing price or its changing trend in the future. Considering that the factors which affect the housing price vary widely, the proposed prediction models include two categories. The first one is based on multiple characteristic factors of the real estate. We built Convolution Neural Network (CNN) prediction model and Long Short-Term Memory (LSTM) neural network prediction model based on deep learning, and logical regression model was implemented to make a comparison between these three models. Another prediction model is time series model. Based on deep learning, we proposed an LSTM-1 model purely regard to time series, then implementing and comparing the LSTM model and the Auto-Regressive and Moving Average (ARMA) model. In this paper, comprehensive study of the second-hand housing price in Beijing has been conducted from three aspects: crawling and analyzing, housing price predicting, and the result comparing. Ultimately the best model program was produced, which is of great significance to evaluation and prediction of the housing price in the real estate industry. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title="deep learning">deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=convolutional%20neural%20network" title=" convolutional neural network"> convolutional neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=LSTM" title=" LSTM"> LSTM</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20prediction" title=" housing prediction"> housing prediction</a> </p> <a href="https://publications.waset.org/abstracts/84747/prediction-on-housing-price-based-on-deep-learning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/84747.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">9661</span> Modern and Postmodern Marketing Approaches to Consumer Loyalty in Case of Indonesia Real Estate Developer</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lincoln%20Panjaitan">Lincoln Panjaitan</a>, <a href="https://publications.waset.org/abstracts/search?q=Antonius%20Sumarlin"> Antonius Sumarlin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The development of property businesses in the metropolitan area is growing rapidly forcing big real estate developers to come up with various strategies in winning the heart of consumers. This empirical research is focusing on how the two schools of marketing thoughts; namely, Modern and postmodern marketing employed by the preceding developers to retain consumers’ commitment toward their prospective brands. The data was collected from three different properties of PT. Intiland Tbk using accidental sampling technique. The data of 600 respondents was then put into Structural Equation Model (SEM). The result of the study suggests that both schools of thought can equally produce commitment and loyalty of consumers; however, the difference lays where the loyalty belongs to. The first is more toward developer’s brand and the latter is more toward the co-creation value of the housing community. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=consumer%20loyalty" title="consumer loyalty">consumer loyalty</a>, <a href="https://publications.waset.org/abstracts/search?q=consumer%20commitment" title=" consumer commitment"> consumer commitment</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20sharing%20platform" title=" knowledge sharing platform"> knowledge sharing platform</a>, <a href="https://publications.waset.org/abstracts/search?q=marketing%20mix" title=" marketing mix"> marketing mix</a> </p> <a href="https://publications.waset.org/abstracts/56643/modern-and-postmodern-marketing-approaches-to-consumer-loyalty-in-case-of-indonesia-real-estate-developer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/56643.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">339</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">9660</span> Housing Price Prediction Using Machine Learning Algorithms: The Case of Melbourne City, Australia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=The%20Danh%20Phan">The Danh Phan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> House price forecasting is a main topic in the real estate market research. Effective house price prediction models could not only allow home buyers and real estate agents to make better data-driven decisions but may also be beneficial for the property policymaking process. This study investigates the housing market by using machine learning techniques to analyze real historical house sale transactions in Australia. It seeks useful models which could be deployed as an application for house buyers and sellers. Data analytics show a high discrepancy between the house price in the most expensive suburbs and the most affordable suburbs in the city of Melbourne. In addition, experiments demonstrate that the combination of Stepwise and Support Vector Machine (SVM), based on the Mean Squared Error (MSE) measurement, consistently outperforms other models in terms of prediction accuracy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=house%20price%20prediction" title="house price prediction">house price prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=regression%20trees" title=" regression trees"> regression trees</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20network" title=" neural network"> neural network</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=stepwise" title=" stepwise"> stepwise</a> </p> <a href="https://publications.waset.org/abstracts/98230/housing-price-prediction-using-machine-learning-algorithms-the-case-of-melbourne-city-australia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/98230.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">231</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">9659</span> Closed Urban Block versus Open Housing Estates Structures: Sustainability Surveys in Brno, Czech Republic</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Wittmann">M. Wittmann</a>, <a href="https://publications.waset.org/abstracts/search?q=G.%20Kopacik"> G. Kopacik</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Leitmannova"> A. Leitmannova</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A prominent place in the spatial arrangement of Czech as well as other post-socialist, Central European cities belongs to 19th century closed urban blocks and the open concrete panel housing estates which were erected during the socialism era in the second half of 20th century. The characteristics of these two fundamentally diverse types of residential structures have, as we suppose, a different impact on the sustainable development of the urban area. The characteristics of these residential structures may influence the ecological stability of the area, its hygienic qualities, the intensity and way of using by various social groups, and also, e.g., the prices of real estates. These and many other phenomena indicate the environmental, social and economic sustainability of the urban area. The proposed research methodology assessed specific indicators of sustainability within a range from 0 to 10 points. 5 points correspond to the general standard in the area, 0 points indicates degradation, and 10 points indicate the highest contribution to sustainable development. The survey results are reflected in the overall sustainability index and in the residents’ satisfaction index. The paper analyses the residential structures in the Central European city of Brno, Czech Republic. The case studies of the urban blocks near the city centre and of the housing estate Brno - Vinohrady are compared. The results imply that a considerable positive impact on the sustainable development of the area should be ascribed to the closed urban blocks near the city centre. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=City%20of%20Brno" title="City of Brno">City of Brno</a>, <a href="https://publications.waset.org/abstracts/search?q=closed%20urban%20block" title=" closed urban block"> closed urban block</a>, <a href="https://publications.waset.org/abstracts/search?q=open%20housing%20estate" title=" open housing estate"> open housing estate</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20structure" title=" urban structure"> urban structure</a> </p> <a href="https://publications.waset.org/abstracts/81084/closed-urban-block-versus-open-housing-estates-structures-sustainability-surveys-in-brno-czech-republic" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/81084.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">179</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=sustainable%20real%20estate&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=sustainable%20real%20estate&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=sustainable%20real%20estate&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=sustainable%20real%20estate&page=5">5</a></li> <li class="page-item"><a class="page-link" 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