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Article: Walking accessibility and property prices

TitleWalking accessibility and property prices
Authors
KeywordsProperty priceSpatial autocorrelation
Walking accessibility
Walk Score
Cumulative opportunity
Public service
Issue Date2018
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/trd
Citation
Transportation Research Part D: Transport & Environment, 2018, v. 62, p. 551-562 How to Cite?
AbstractWalking is an imperative travel mode, especially for short trips. Walking accessibility, which is defined as the ease of reaching essential destinations in the walk-in catchment area, may affect property prices because residents are more likely to be willing to pay for this attribute. In addition, different categories of public services may have varied influencing directions and magnitude. These two hypotheses are tested in this study. Taking Xiamen, China as a case study, we estimate the cumulative opportunities of public services on foot and develop a set of hedonic pricing models (more specifically, two pre-specified ordinary least squares models, four Box-Cox transformed models, and two spatial econometric models) to estimate, whether and to what extent, walking accessibility contributes to price premiums (or discounts). Using a database of 22,586 second-hand residential properties in 358 multi- or high-storey residential complexes, we find that (1) walking accessibility to public services contributes to the variations in housing prices and plays a role in determining housing prices; (2) different categories of services have vastly divergent, even opposite, influencing impacts; and (3) walking accessibility to primary schools, commercial centers, and sports and cultural centers have positive effects on house prices whereas walking accessibility to comprehensive hospitals adversely affects housing prices. Methodologically, we confirm that spatial econometric methods improve estimation accuracy and have more explanatory power relative to the standard non-spatial models. Robustness check analysis further guarantees the plausibility of this study.
Persistent Identifierhttp://hdl.handle.net/10722/259459
ISSN
2023 Impact Factor: 7.3
2023 SCImago Journal Rankings: 2.328
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYang, L-
dc.contributor.authorWang, B-
dc.contributor.authorZhou, J-
dc.contributor.authorWang, X-
dc.date.accessioned2018-09-03T04:07:43Z-
dc.date.available2018-09-03T04:07:43Z-
dc.date.issued2018-
dc.identifier.citationTransportation Research Part D: Transport & Environment, 2018, v. 62, p. 551-562-
dc.identifier.issn1361-9209-
dc.identifier.urihttp://hdl.handle.net/10722/259459-
dc.description.abstractWalking is an imperative travel mode, especially for short trips. Walking accessibility, which is defined as the ease of reaching essential destinations in the walk-in catchment area, may affect property prices because residents are more likely to be willing to pay for this attribute. In addition, different categories of public services may have varied influencing directions and magnitude. These two hypotheses are tested in this study. Taking Xiamen, China as a case study, we estimate the cumulative opportunities of public services on foot and develop a set of hedonic pricing models (more specifically, two pre-specified ordinary least squares models, four Box-Cox transformed models, and two spatial econometric models) to estimate, whether and to what extent, walking accessibility contributes to price premiums (or discounts). Using a database of 22,586 second-hand residential properties in 358 multi- or high-storey residential complexes, we find that (1) walking accessibility to public services contributes to the variations in housing prices and plays a role in determining housing prices; (2) different categories of services have vastly divergent, even opposite, influencing impacts; and (3) walking accessibility to primary schools, commercial centers, and sports and cultural centers have positive effects on house prices whereas walking accessibility to comprehensive hospitals adversely affects housing prices. Methodologically, we confirm that spatial econometric methods improve estimation accuracy and have more explanatory power relative to the standard non-spatial models. Robustness check analysis further guarantees the plausibility of this study.-
dc.languageeng-
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/trd-
dc.relation.ispartofTransportation Research Part D: Transport & Environment-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectProperty priceSpatial autocorrelation-
dc.subjectWalking accessibility-
dc.subjectWalk Score-
dc.subjectCumulative opportunity-
dc.subjectPublic service-
dc.titleWalking accessibility and property prices-
dc.typeArticle-
dc.identifier.emailZhou, J: zhoujp@hku.hk-
dc.identifier.authorityZhou, J=rp02236-
dc.description.naturepostprint-
dc.identifier.doi10.1016/j.trd.2018.04.001-
dc.identifier.scopuseid_2-s2.0-85045256489-
dc.identifier.hkuros289814-
dc.identifier.volume62-
dc.identifier.spage551-
dc.identifier.epage562-
dc.identifier.isiWOS:000443791700039-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl1361-9209-

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