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class="suggested-user-card__user-info__subheader ds2-5-body-xs">University of East London</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a data-nosnippet="" href="https://cria.academia.edu/ArmandoMarquesGuedes"><img class="profile-avatar u-positionAbsolute" alt="Armando Marques-Guedes related author profile picture" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/134181/3401094/148494125/s200_armando.marques-guedes.png" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://cria.academia.edu/ArmandoMarquesGuedes">Armando Marques-Guedes</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">UNL - New University of Lisbon</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a data-nosnippet="" href="https://leicester.academia.edu/GrahamMartin"><img class="profile-avatar u-positionAbsolute" alt="Graham Martin related author profile picture" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/156189/40499/1481064/s200_graham.martin.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://leicester.academia.edu/GrahamMartin">Graham Martin</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">University of Leicester</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a data-nosnippet="" 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Gutierrez-Alonso related author profile picture" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/175637/822125/1022101/s200_gabriel.gutierrez-alonso.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://usal.academia.edu/GabrielGutierrezAlonso">Gabriel Gutierrez-Alonso</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">University of Salamanca</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a data-nosnippet="" href="https://mq.academia.edu/JohnSutton"><img class="profile-avatar u-positionAbsolute" alt="John Sutton related author profile picture" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') 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/></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://ufrgs.academia.edu/ErosCarvalho">Eros Carvalho</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Universidade Federal do Rio Grande do Sul</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a data-nosnippet="" href="https://swansea.academia.edu/KevinArbuckle"><img class="profile-avatar u-positionAbsolute" alt="Kevin Arbuckle related author profile picture" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/191329/90380/6936137/s200_kevin.arbuckle.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://swansea.academia.edu/KevinArbuckle">Kevin Arbuckle</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Swansea University</p></div></div></ul></div><style type="text/css">.suggested-academics--header h3{font-size:16px;font-weight:500;line-height:20px}</style></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by MARINA BRAVI</h3></div><div class="js-work-strip profile--work_container" data-work-id="112595169"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/112595169/New_Housing_Preferences_in_the_COVID_19_Era_A_Best_to_Worst_Scaling_Experiment"><img alt="Research paper thumbnail of New Housing Preferences in the COVID-19 Era: A Best-to-Worst Scaling Experiment" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title">New Housing Preferences in the COVID-19 Era: A Best-to-Worst Scaling Experiment</div><div class="wp-workCard_item"><span>Computational Science and Its Applications – ICCSA 2021</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The COVID-19 pandemic in Italy, as in many countries around the world, has imposed rigid restrict...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The COVID-19 pandemic in Italy, as in many countries around the world, has imposed rigid restrictions on outdoor activities, resulting in forced confinement. The new condition requires an analysis and a rethinking of the way of life and of the new pre- and post-pandemic needs related to the use of domestic spaces, necessary to work, study or carry out other daily activities. Politecnico di Milano and Politecnico di Torino, with the collaboration of the institute of studies and research Scenari Immobiliari, have launched a survey for exploring the new needs and preferences of residents. These needs, which arose in conjunction with the pandemic, concern not only the desire to readapt their homes, but also to change them. In order to investigate these preferences, a questionnaire was developed using the Best to Worst Scaling (BWS). The items consider both modifications of the internal distribution and interventions on the efficiency of domestic appliances and systems components. The study aims to highlight how the spread of the pandemic has changed housing needs and how physical space affects people’s well-being. © 2021, Springer Nature Switzerland AG.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="112595169"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="112595169"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 112595169; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=112595169]").text(description); $(".js-view-count[data-work-id=112595169]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 112595169; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='112595169']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=112595169]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":112595169,"title":"New Housing Preferences in the COVID-19 Era: A Best-to-Worst Scaling Experiment","translated_title":"","metadata":{"abstract":"The COVID-19 pandemic in Italy, as in many countries around the world, has imposed rigid restrictions on outdoor activities, resulting in forced confinement. 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The study aims to highlight how the spread of the pandemic has changed housing needs and how physical space affects people’s well-being. © 2021, Springer Nature Switzerland AG.","internal_url":"https://www.academia.edu/112595169/New_Housing_Preferences_in_the_COVID_19_Era_A_Best_to_Worst_Scaling_Experiment","translated_internal_url":"","created_at":"2023-12-30T00:40:48.700-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37142579,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"New_Housing_Preferences_in_the_COVID_19_Era_A_Best_to_Worst_Scaling_Experiment","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"The COVID-19 pandemic in Italy, as in many countries around the world, has imposed rigid restrictions on outdoor activities, resulting in forced confinement. 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In the literature, there have been two methods that have used to estimate tenure choice models. The first uses a sample of ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="84960500"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="84960500"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 84960500; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=84960500]").text(description); $(".js-view-count[data-work-id=84960500]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 84960500; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='84960500']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=84960500]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":84960500,"title":"Housing Affordability and Tenure Choices: An Empirical Investigation","translated_title":"","metadata":{"abstract":"Several empirical studies have established that tenure choice and households mobility decisions are highly correlated (Ozyildirim et al., 2005). 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-80693910-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="80693909"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/80693909/Spatial_Implications_of_EPC_Rankings_Over_Residential_Prices"><img alt="Research paper thumbnail of Spatial Implications of EPC Rankings Over Residential Prices" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title">Spatial Implications of EPC Rankings Over Residential Prices</div><div class="wp-workCard_item"><span>Values and Functions for Future Cities</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Empirical evidence has found a correlation between Energy Performance (EPC) rankings and housing ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Empirical evidence has found a correlation between Energy Performance (EPC) rankings and housing prices. Though, little attention has been devoted to research the spatial implications of EPC marginal prices. This paper attempts to fill this gap using a geographical-weighted-regression, departing from listing prices for Barcelona. The results suggest the existence of a premium equivalent to 1.7% for each EPC ranking, which nearly double the previous reported evidence in this city. Also, the impact shows a non-stationary distribution across urban space. As a matter of fact, the higher the impact, the lower the price of apartments and their quality. The apartments portraying the larger impact are located in peripheral areas inhabited by medium and low-income population. So, the equity of less wealthy population witnesses the largest brown discount.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="80693909"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="80693909"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 80693909; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=80693909]").text(description); $(".js-view-count[data-work-id=80693909]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 80693909; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='80693909']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=80693909]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":80693909,"title":"Spatial Implications of EPC Rankings Over Residential Prices","translated_title":"","metadata":{"abstract":"Empirical evidence has found a correlation between Energy Performance (EPC) rankings and housing prices. 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This is one of the most recognized and investigated forms of tourism but, unfortunately, there is a fragmentation in the research field that does not allow a full comprehension of existing relationships between TS, CHT, and tourist experience. In this light, the work tries to evaluate the economic impact of the on-site vs. long-distance transports, in a scenario where tourism public policies are not adequately developed. The analysis is based on CHT access data and economic information on travel costs managed with the help of a large data set coming from the Cultural Observatory of Piedmont Region (Italy).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="095a40337b7caf5c6cbbb06b6ef39dd5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86991713,"asset_id":80693908,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86991713/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="80693908"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="80693908"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 80693908; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=80693908]").text(description); $(".js-view-count[data-work-id=80693908]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 80693908; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='80693908']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "095a40337b7caf5c6cbbb06b6ef39dd5" } } $('.js-work-strip[data-work-id=80693908]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":80693908,"title":"Valutazione dei benefici per un sistema di trasporto locale nell'ambito del turismo culturale","translated_title":"","metadata":{"abstract":"The need for an efficient Transport System (TS) is widely recognized as an important factor of a successful program of tourism development, but little work has been made to investigate the impact of TS on Cultural Heritage Tourism (CHT). 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Analysis of households’ energy consumption and demand elasticities were carried out before with the intent to forecast the potential of energy efficiency programs, but the recent concerns about climate change have drawn attention to the causes of this problem. As a result, the residential and renewable energy sectors have become strategic for the human being’s future. Different retrofit measures and technical solutions are now available for the new buildings, but the existing residential stock is more difficult to improve. More specifically, this implies the investment decision of heterogeneous groups of homeowners and landlords who differ in terms of the characteristics of their assets, their financial possibilities and time preferences. 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More innovative approaches lead to consider evaluation models able to take into account the full range of impacts generated at the level of utilities, end-users and society in general. This chapter aims to provide a reflection on the role of assessment tools in decision-making processes related to energy retrofit operations at architectural and urban level, presenting a series of recent and innovative experiments developed in the joined research group of the Energy Center Lab at Politecnico di Torino (Italy). Different techniques were applied to real case studies to provide an answer to concrete evaluation problems in the energy field. 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More innovative approaches lead to consider evaluation models able to take into account the full range of impacts generated at the level of utilities, end-users and society in general. This chapter aims to provide a reflection on the role of assessment tools in decision-making processes related to energy retrofit operations at architectural and urban level, presenting a series of recent and innovative experiments developed in the joined research group of the Energy Center Lab at Politecnico di Torino (Italy). Different techniques were applied to real case studies to provide an answer to concrete evaluation problems in the energy field. 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Among the ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The marketing and financial success of a shopping centre is dependent on many factors. Among the main features, the relevant literature (Ghosh & McLafferty, 1987; Wrigley, 1988; Cliquet, 1992; Guy, 1994; Cohen, 2000) suggests the follows: the quality of location and accessibility, the catchments size area, the car-parking provision, the design and the environment. A full line-up of strong and well-placed traders (tenant mix) is also important because the sales performance is dependent on the level and type of footfall attracted and may also be relying on micro-retail linkages. The success of individual tenants and the success of a centre as a whole are interdependent and enhanced by the cumulative synergy generated by the mix of stores. The combination of all these factors is decisive on whether or not a developer/owner will find a successful formula from the standpoint of the potential tenants and consumers. This contribution begins to describe the recent development of planned sho...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7d6db6da371e61f45ebd8c42df530413" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86991711,"asset_id":80693905,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86991711/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="80693905"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="80693905"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 80693905; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=80693905]").text(description); $(".js-view-count[data-work-id=80693905]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 80693905; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='80693905']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7d6db6da371e61f45ebd8c42df530413" } } $('.js-work-strip[data-work-id=80693905]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":80693905,"title":"1 European Real Estate Society Conference 2010 Milan , June 23-26 th Symposium Proposal Retail \u0026 Shopping Centres","translated_title":"","metadata":{"abstract":"The marketing and financial success of a shopping centre is dependent on many factors. 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This is one of the most recognized and investigated forms of tourism but, unfortunately, there is a fragmentation in the research field that does not allow a full comprehension of existing relationships between TS, CHT, and tourist experience. In this light, the work tries to evaluate the economic impact of the on-site vs. long-distance transports, in a scenario where tourism public policies are not adequately developed. The analysis is based on CHT access data and economic information on travel costs managed with the help of a large data set coming from the Cultural Observatory of Piedmont Region (Italy).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1e5b20e531f40c65058837ad16105065" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86991772,"asset_id":80693904,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86991772/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="80693904"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="80693904"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 80693904; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=80693904]").text(description); $(".js-view-count[data-work-id=80693904]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 80693904; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='80693904']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "1e5b20e531f40c65058837ad16105065" } } $('.js-work-strip[data-work-id=80693904]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":80693904,"title":"Benefit assessment of a local transport system within the cultural heritage tourism","translated_title":"","metadata":{"abstract":"The need for an efficient Transport System (TS) is widely recognized as an important factor of a successful program of tourism development, but little work has been made to investigate the impact of TS on Cultural Heritage Tourism (CHT). 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-80693904-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="80693903"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/80693903/Il_valore_dei_parchi_nelle_aree_urbane_una_sperimentazione_del_Contingent_Valuation_Method"><img alt="Research paper thumbnail of Il valore dei parchi nelle aree urbane: una sperimentazione del Contingent Valuation Method" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title">Il valore dei parchi nelle aree urbane: una sperimentazione del Contingent Valuation Method</div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="80693903"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="80693903"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 80693903; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-80693903-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="80693902"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/80693902/Valuing_environmental_and_social_quality_impacts_on_Subjective_Well_Being"><img alt="Research paper thumbnail of Valuing environmental and social quality impacts on Subjective Well- Being" class="work-thumbnail" src="https://attachments.academia-assets.com/86991710/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/80693902/Valuing_environmental_and_social_quality_impacts_on_Subjective_Well_Being">Valuing environmental and social quality impacts on Subjective Well- Being</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Monetary metric is useful whenever it is necessary a cost/benefit assessment that implies a chang...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Monetary metric is useful whenever it is necessary a cost/benefit assessment that implies a change of the degree of individuals and families well-being. The work is devoted to investigate and assess the impact of Environmental and Social Quality (ESQu) on Subjective Well-Being (SWB) at regional scale, keeping under control the individual heterogeneity. After a brief introduction, the application of the Life Satisfaction Approach (LSA) on a large data-base of Italian official statistical source, allows establishing the operative practicality of this method through monetization of the impact of some externalities. In this direction and by way of an example, some regional differentials, in terms of environmental and social benefits-costs, are highlighted and their impact on GDP is estimated.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b5f60495e432e5fe8d5ca73d0fc1102d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86991710,"asset_id":80693902,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86991710/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="80693902"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="80693902"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 80693902; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=80693902]").text(description); $(".js-view-count[data-work-id=80693902]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 80693902; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='80693902']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b5f60495e432e5fe8d5ca73d0fc1102d" } } $('.js-work-strip[data-work-id=80693902]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":80693902,"title":"Valuing environmental and social quality impacts on Subjective Well- Being","translated_title":"","metadata":{"abstract":"Monetary metric is useful whenever it is necessary a cost/benefit assessment that implies a change of the degree of individuals and families well-being. 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At this regard, it is necessary to put in evidence that a great heterogeneity exists on the Italian territory with reference to buildings energy performance; for this reason, being able to identify a class of most performing estimation models, suitable to separate the spatial effects from the influence of the building components-including the energy rating-on the value, seems to be an interesting goal. In particular, this work illustrates an experiment based on the Spatial Auto Regressive (SAR) model implemented on a sample of residential units located in the city of Turin and represents a first step of a more wide research program.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="720d9986f12275dda2e7987085aff164" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86991770,"asset_id":80693901,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86991770/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="80693901"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="80693901"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 80693901; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=80693901]").text(description); $(".js-view-count[data-work-id=80693901]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 80693901; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='80693901']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "720d9986f12275dda2e7987085aff164" } } $('.js-work-strip[data-work-id=80693901]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":80693901,"title":"Buildings Energy Performance and Real Estate Market Value: An Application of the Spatial Auto Regressive (SAR) Model","translated_title":"","metadata":{"publisher":"Springer International Publishing","ai_title_tag":"Energy Performance Impact on Real Estate Value","grobid_abstract":"This work explores the role of the buildings energy performance in defining the real estate market value, taking in consideration the presence of spatial autocorrelation. 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The new condition requires an analysis and a rethinking of the way of life and of the new pre- and post-pandemic needs related to the use of domestic spaces, necessary to work, study or carry out other daily activities. Politecnico di Milano and Politecnico di Torino, with the collaboration of the institute of studies and research Scenari Immobiliari, have launched a survey for exploring the new needs and preferences of residents. These needs, which arose in conjunction with the pandemic, concern not only the desire to readapt their homes, but also to change them. In order to investigate these preferences, a questionnaire was developed using the Best to Worst Scaling (BWS). The items consider both modifications of the internal distribution and interventions on the efficiency of domestic appliances and systems components. The study aims to highlight how the spread of the pandemic has changed housing needs and how physical space affects people’s well-being. © 2021, Springer Nature Switzerland AG.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="112595169"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="112595169"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 112595169; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=112595169]").text(description); $(".js-view-count[data-work-id=112595169]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 112595169; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='112595169']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=112595169]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":112595169,"title":"New Housing Preferences in the COVID-19 Era: A Best-to-Worst Scaling Experiment","translated_title":"","metadata":{"abstract":"The COVID-19 pandemic in Italy, as in many countries around the world, has imposed rigid restrictions on outdoor activities, resulting in forced confinement. 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In the literature, there have been two methods that have used to estimate tenure choice models. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-80693910-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="80693909"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/80693909/Spatial_Implications_of_EPC_Rankings_Over_Residential_Prices"><img alt="Research paper thumbnail of Spatial Implications of EPC Rankings Over Residential Prices" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title">Spatial Implications of EPC Rankings Over Residential Prices</div><div class="wp-workCard_item"><span>Values and Functions for Future Cities</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Empirical evidence has found a correlation between Energy Performance (EPC) rankings and housing ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Empirical evidence has found a correlation between Energy Performance (EPC) rankings and housing prices. Though, little attention has been devoted to research the spatial implications of EPC marginal prices. This paper attempts to fill this gap using a geographical-weighted-regression, departing from listing prices for Barcelona. The results suggest the existence of a premium equivalent to 1.7% for each EPC ranking, which nearly double the previous reported evidence in this city. Also, the impact shows a non-stationary distribution across urban space. As a matter of fact, the higher the impact, the lower the price of apartments and their quality. The apartments portraying the larger impact are located in peripheral areas inhabited by medium and low-income population. So, the equity of less wealthy population witnesses the largest brown discount.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="80693909"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="80693909"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 80693909; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=80693909]").text(description); $(".js-view-count[data-work-id=80693909]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 80693909; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='80693909']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=80693909]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":80693909,"title":"Spatial Implications of EPC Rankings Over Residential Prices","translated_title":"","metadata":{"abstract":"Empirical evidence has found a correlation between Energy Performance (EPC) rankings and housing prices. 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This is one of the most recognized and investigated forms of tourism but, unfortunately, there is a fragmentation in the research field that does not allow a full comprehension of existing relationships between TS, CHT, and tourist experience. In this light, the work tries to evaluate the economic impact of the on-site vs. long-distance transports, in a scenario where tourism public policies are not adequately developed. The analysis is based on CHT access data and economic information on travel costs managed with the help of a large data set coming from the Cultural Observatory of Piedmont Region (Italy).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="095a40337b7caf5c6cbbb06b6ef39dd5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86991713,"asset_id":80693908,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86991713/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="80693908"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="80693908"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 80693908; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=80693908]").text(description); $(".js-view-count[data-work-id=80693908]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 80693908; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='80693908']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "095a40337b7caf5c6cbbb06b6ef39dd5" } } $('.js-work-strip[data-work-id=80693908]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":80693908,"title":"Valutazione dei benefici per un sistema di trasporto locale nell'ambito del turismo culturale","translated_title":"","metadata":{"abstract":"The need for an efficient Transport System (TS) is widely recognized as an important factor of a successful program of tourism development, but little work has been made to investigate the impact of TS on Cultural Heritage Tourism (CHT). 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Analysis of households’ energy consumption and demand elasticities were carried out before with the intent to forecast the potential of energy efficiency programs, but the recent concerns about climate change have drawn attention to the causes of this problem. As a result, the residential and renewable energy sectors have become strategic for the human being’s future. Different retrofit measures and technical solutions are now available for the new buildings, but the existing residential stock is more difficult to improve. More specifically, this implies the investment decision of heterogeneous groups of homeowners and landlords who differ in terms of the characteristics of their assets, their financial possibilities and time preferences. 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More innovative approaches lead to consider evaluation models able to take into account the full range of impacts generated at the level of utilities, end-users and society in general. This chapter aims to provide a reflection on the role of assessment tools in decision-making processes related to energy retrofit operations at architectural and urban level, presenting a series of recent and innovative experiments developed in the joined research group of the Energy Center Lab at Politecnico di Torino (Italy). Different techniques were applied to real case studies to provide an answer to concrete evaluation problems in the energy field. The results of the various applications show that the proposed valuation techniques offer useful tools to support local ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="80693906"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="80693906"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 80693906; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=80693906]").text(description); $(".js-view-count[data-work-id=80693906]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 80693906; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='80693906']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=80693906]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":80693906,"title":"Integrated Assessments and Energy Retrofit: The Contribution of the Energy Center Lab of the Politecnico di Torino","translated_title":"","metadata":{"abstract":"Traditionally, local energy planning has been carried out following a sectorial approach, neglecting the long-term effects of energy policies, not considering social and environmental elements and omitting important actors involved. 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The results of the various applications show that the proposed valuation techniques offer useful tools to support local ...","impression_tracking_id":null,"owner":{"id":37142579,"first_name":"MARINA","middle_initials":null,"last_name":"BRAVI","page_name":"MBRAVI","domain_name":"polito","created_at":"2015-10-28T07:16:45.921-07:00","display_name":"MARINA BRAVI","url":"https://polito.academia.edu/MBRAVI"},"attachments":[],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":90663,"name":"Green energy technology","url":"https://www.academia.edu/Documents/in/Green_energy_technology"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-80693906-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="80693905"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/80693905/1_European_Real_Estate_Society_Conference_2010_Milan_June_23_26_th_Symposium_Proposal_Retail_and_Shopping_Centres"><img alt="Research paper thumbnail of 1 European Real Estate Society Conference 2010 Milan , June 23-26 th Symposium Proposal Retail & Shopping Centres" class="work-thumbnail" src="https://attachments.academia-assets.com/86991711/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/80693905/1_European_Real_Estate_Society_Conference_2010_Milan_June_23_26_th_Symposium_Proposal_Retail_and_Shopping_Centres">1 European Real Estate Society Conference 2010 Milan , June 23-26 th Symposium Proposal Retail & Shopping Centres</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The marketing and financial success of a shopping centre is dependent on many factors. Among the ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The marketing and financial success of a shopping centre is dependent on many factors. Among the main features, the relevant literature (Ghosh & McLafferty, 1987; Wrigley, 1988; Cliquet, 1992; Guy, 1994; Cohen, 2000) suggests the follows: the quality of location and accessibility, the catchments size area, the car-parking provision, the design and the environment. A full line-up of strong and well-placed traders (tenant mix) is also important because the sales performance is dependent on the level and type of footfall attracted and may also be relying on micro-retail linkages. The success of individual tenants and the success of a centre as a whole are interdependent and enhanced by the cumulative synergy generated by the mix of stores. The combination of all these factors is decisive on whether or not a developer/owner will find a successful formula from the standpoint of the potential tenants and consumers. 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This is one of the most recognized and investigated forms of tourism but, unfortunately, there is a fragmentation in the research field that does not allow a full comprehension of existing relationships between TS, CHT, and tourist experience. In this light, the work tries to evaluate the economic impact of the on-site vs. long-distance transports, in a scenario where tourism public policies are not adequately developed. The analysis is based on CHT access data and economic information on travel costs managed with the help of a large data set coming from the Cultural Observatory of Piedmont Region (Italy).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1e5b20e531f40c65058837ad16105065" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86991772,"asset_id":80693904,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86991772/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="80693904"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="80693904"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 80693904; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=80693904]").text(description); $(".js-view-count[data-work-id=80693904]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 80693904; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='80693904']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "1e5b20e531f40c65058837ad16105065" } } $('.js-work-strip[data-work-id=80693904]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":80693904,"title":"Benefit assessment of a local transport system within the cultural heritage tourism","translated_title":"","metadata":{"abstract":"The need for an efficient Transport System (TS) is widely recognized as an important factor of a successful program of tourism development, but little work has been made to investigate the impact of TS on Cultural Heritage Tourism (CHT). 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-80693903-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="80693902"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/80693902/Valuing_environmental_and_social_quality_impacts_on_Subjective_Well_Being"><img alt="Research paper thumbnail of Valuing environmental and social quality impacts on Subjective Well- Being" class="work-thumbnail" src="https://attachments.academia-assets.com/86991710/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/80693902/Valuing_environmental_and_social_quality_impacts_on_Subjective_Well_Being">Valuing environmental and social quality impacts on Subjective Well- Being</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Monetary metric is useful whenever it is necessary a cost/benefit assessment that implies a chang...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Monetary metric is useful whenever it is necessary a cost/benefit assessment that implies a change of the degree of individuals and families well-being. The work is devoted to investigate and assess the impact of Environmental and Social Quality (ESQu) on Subjective Well-Being (SWB) at regional scale, keeping under control the individual heterogeneity. After a brief introduction, the application of the Life Satisfaction Approach (LSA) on a large data-base of Italian official statistical source, allows establishing the operative practicality of this method through monetization of the impact of some externalities. 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At this regard, it is necessary to put in evidence that a great heterogeneity exists on the Italian territory with reference to buildings energy performance; for this reason, being able to identify a class of most performing estimation models, suitable to separate the spatial effects from the influence of the building components-including the energy rating-on the value, seems to be an interesting goal. In particular, this work illustrates an experiment based on the Spatial Auto Regressive (SAR) model implemented on a sample of residential units located in the city of Turin and represents a first step of a more wide research program.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="720d9986f12275dda2e7987085aff164" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86991770,"asset_id":80693901,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86991770/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="80693901"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="80693901"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 80693901; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=80693901]").text(description); $(".js-view-count[data-work-id=80693901]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 80693901; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='80693901']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "720d9986f12275dda2e7987085aff164" } } $('.js-work-strip[data-work-id=80693901]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":80693901,"title":"Buildings Energy Performance and Real Estate Market Value: An Application of the Spatial Auto Regressive (SAR) Model","translated_title":"","metadata":{"publisher":"Springer International Publishing","ai_title_tag":"Energy Performance Impact on Real Estate Value","grobid_abstract":"This work explores the role of the buildings energy performance in defining the real estate market value, taking in consideration the presence of spatial autocorrelation. 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