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dc.contributor.authorMa, Yaxiongen_US
dc.contributor.authorGopal, Sucharitaen_US
dc.date.accessioned2020-05-14T15:50:24Z
dc.date.available2020-05-14T15:50:24Z
dc.date.issued2018-04-01
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000435188000130&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=6e74115fe3da270499c3d65c9b17d654
dc.identifier.citationYaxiong Ma, Sucharita Gopal. 2018. "Geographically Weighted Regression Models in Estimating Median Home Prices in Towns of Massachusetts Based on an Urban Sustainability Framework." SUSTAINABILITY, Volume 10, Issue 4, 27 pp. https://doi.org/10.3390/su10041026
dc.identifier.issn2071-1050
dc.identifier.urihttps://hdl.handle.net/2144/40855
dc.description.abstractHousing is a key component of urban sustainability. The objective of this study was to assess the significance of key spatial determinants of median home price in towns in Massachusetts that impact sustainable growth. Our analysis investigates the presence or absence of spatial non-stationarity in the relationship between sustainable growth, measured in terms of the relationship between home values and various parameters including the amount of unprotected forest land, residential land, unemployment, education, vehicle ownership, accessibility to commuter rail stations, school district performance, and senior population. We use the standard geographically weighted regression (GWR) and Mixed GWR models to analyze the effects of spatial non-stationarity. Mixed GWR performed better than GWR in terms of Akaike Information Criterion (AIC) values. Our findings highlight the nature and spatial extent of the non-stationary vs. stationary qualities of key environmental and social determinants of median home price. Understanding the key determinants of housing values, such as valuation of green spaces, public school performance metrics, and proximity to public transport, enable towns to use different strategies of sustainable urban planning, while understanding urban housing determinants—such as unemployment and senior population—can help modify urban sustainable housing policies.en_US
dc.description.sponsorshipThis research is based upon work supported by the National Science Foundation under Grant No. CNH #1617053, CNH-S and Boston University Initiative on Cities, 2017. (1617053 - National Science Foundation; CNH-S; Boston University Initiative on Cities)en_US
dc.description.urihttps://doi.org/10.3390/su10041026
dc.format.extent27 pagesen_US
dc.languageEnglish
dc.language.isoen_US
dc.publisherMDPIen_US
dc.relation.ispartofSUSTAINABILITY
dc.rights"This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited."en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectScience & technologyen_US
dc.subjectLife sciences & biomedicineen_US
dc.subjectGreen & sustainable science & technologyen_US
dc.subjectEnvironmental sciencesen_US
dc.subjectEnvironmental studiesen_US
dc.subjectUrban ecologyen_US
dc.subjectSuburban sprawlen_US
dc.subjectResidential developmenten_US
dc.subjectRemote sensingen_US
dc.subjectMixed GWRen_US
dc.subjectGISen_US
dc.subjectSustainabilityen_US
dc.subjectHome priceen_US
dc.subjectHousing marketen_US
dc.subjectEcological systemsen_US
dc.subjectMetropolitan areaen_US
dc.subjectProperty valuesen_US
dc.subjectBubbleen_US
dc.subjectSegmentationen_US
dc.subjectDeterminantsen_US
dc.subjectDynamicsen_US
dc.subjectQualityen_US
dc.subjectBuilt environment and designen_US
dc.titleGeographically weighted regression models in estimating median home prices in towns of Massachusetts based on an urban sustainability frameworken_US
dc.typeArticleen_US
dc.identifier.doi10.3390/su10041026
pubs.elements-sourceweb-of-scienceen_US
pubs.notesEmbargo: Not knownen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Arts & Sciencesen_US
pubs.organisational-groupBoston University, College of Arts & Sciences, Department of Earth & Environmenten_US
pubs.publication-statusPublisheden_US
dc.description.oaversionPublished version
dc.identifier.mycv394082


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"This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited."
Except where otherwise noted, this item's license is described as "This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited."