{"id":"https://openalex.org/W4415868917","doi":"https://doi.org/10.3390/ijgi14110436","title":"How Does Built Environment Influence Housing Prices in Large-Scale Areas? An Interpretable Machine Learning Method by Considering Multi-Dimensional Accessibility","display_name":"How Does Built Environment Influence Housing Prices in Large-Scale Areas? An Interpretable Machine Learning Method by Considering Multi-Dimensional Accessibility","publication_year":2025,"publication_date":"2025-11-04","ids":{"openalex":"https://openalex.org/W4415868917","doi":"https://doi.org/10.3390/ijgi14110436"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi14110436","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi14110436","pdf_url":"https://www.mdpi.com/2220-9964/14/11/436/pdf","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2220-9964/14/11/436/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115596380","display_name":"Ziyi Wang","orcid":"https://orcid.org/0000-0002-9604-0335"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyi Wang","raw_affiliation_strings":["Hongyi Honor College, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"Hongyi Honor College, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115602709","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0001-6351-6467"},"institutions":[{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Wang","raw_affiliation_strings":["State Key Laboratory of Information Engineer in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineer in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076446591","display_name":"Xinyu Xia","orcid":"https://orcid.org/0000-0003-2773-2829"},"institutions":[{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Xia","raw_affiliation_strings":["School of Geography and Tourism, Anhui Normal University, Wuhu 241003, China"],"affiliations":[{"raw_affiliation_string":"School of Geography and Tourism, Anhui Normal University, Wuhu 241003, China","institution_ids":["https://openalex.org/I4472751"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066070444","display_name":"Shaozhu Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaozhu Chen","raw_affiliation_strings":["School of Geography and Tourism, Anhui Normal University, Wuhu 241003, China"],"affiliations":[{"raw_affiliation_string":"School of Geography and Tourism, Anhui Normal University, Wuhu 241003, China","institution_ids":["https://openalex.org/I4472751"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101417078","display_name":"Wei Jiang","orcid":"https://orcid.org/0000-0001-9169-1924"},"institutions":[{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]},{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Jiang","raw_affiliation_strings":["School of Geography and Tourism, Anhui Normal University, Wuhu 241003, China","State Key Laboratory of Information Engineer in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"School of Geography and Tourism, Anhui Normal University, Wuhu 241003, China","institution_ids":["https://openalex.org/I4472751"]},{"raw_affiliation_string":"State Key Laboratory of Information Engineer in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I4210118728"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5115602709"],"corresponding_institution_ids":["https://openalex.org/I4210118728"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40409079,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":"11","first_page":"436","last_page":"436"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10632","display_name":"Housing Market and Economics","score":0.7254999876022339,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10632","display_name":"Housing Market and Economics","score":0.7254999876022339,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12325","display_name":"Urban Design and Spatial Analysis","score":0.13179999589920044,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12698","display_name":"3D Modeling in Geospatial Applications","score":0.01360000018030405,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/real-estate","display_name":"Real estate","score":0.833899974822998},{"id":"https://openalex.org/keywords/built-environment","display_name":"Built environment","score":0.6603999733924866},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.652400016784668},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.539900004863739},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.511900007724762},{"id":"https://openalex.org/keywords/residential-real-estate","display_name":"Residential real estate","score":0.3801000118255615}],"concepts":[{"id":"https://openalex.org/C82279013","wikidata":"https://www.wikidata.org/wiki/Q684740","display_name":"Real estate","level":2,"score":0.833899974822998},{"id":"https://openalex.org/C148803439","wikidata":"https://www.wikidata.org/wiki/Q4986688","display_name":"Built environment","level":2,"score":0.6603999733924866},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.652400016784668},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.539900004863739},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.511900007724762},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4982999861240387},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49810001254081726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44999998807907104},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.44190001487731934},{"id":"https://openalex.org/C2991739101","wikidata":"https://www.wikidata.org/wiki/Q674950","display_name":"Residential real estate","level":3,"score":0.3801000118255615},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.3799000084400177},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.3118000030517578},{"id":"https://openalex.org/C552854447","wikidata":"https://www.wikidata.org/wiki/Q131201","display_name":"Sustainable development","level":2,"score":0.3043000102043152},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C66204764","wikidata":"https://www.wikidata.org/wiki/Q219416","display_name":"Sustainability","level":2,"score":0.25780001282691956}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/ijgi14110436","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi14110436","pdf_url":"https://www.mdpi.com/2220-9964/14/11/436/pdf","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e883f81d70f7400c9adb917ad76b94d2","is_oa":true,"landing_page_url":"https://doaj.org/article/e883f81d70f7400c9adb917ad76b94d2","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 14, Iss 11, p 436 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/ijgi14110436","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi14110436","pdf_url":"https://www.mdpi.com/2220-9964/14/11/436/pdf","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2430910545","display_name":null,"funder_award_id":"42301490","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320328006","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4415868917.pdf"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W1178327149","https://openalex.org/W1552921361","https://openalex.org/W1589142552","https://openalex.org/W1964564361","https://openalex.org/W1971916086","https://openalex.org/W1974091567","https://openalex.org/W1976014750","https://openalex.org/W2012478834","https://openalex.org/W2035395222","https://openalex.org/W2051424696","https://openalex.org/W2051688880","https://openalex.org/W2054876535","https://openalex.org/W2062505214","https://openalex.org/W2072458142","https://openalex.org/W2074706806","https://openalex.org/W2084029452","https://openalex.org/W2088358965","https://openalex.org/W2095089030","https://openalex.org/W2109633092","https://openalex.org/W2129888542","https://openalex.org/W2195494019","https://openalex.org/W2202958134","https://openalex.org/W2252846440","https://openalex.org/W2300662588","https://openalex.org/W2341357763","https://openalex.org/W2425216520","https://openalex.org/W2510508396","https://openalex.org/W2516809705","https://openalex.org/W2522940576","https://openalex.org/W2531409750","https://openalex.org/W2606367052","https://openalex.org/W2732026016","https://openalex.org/W2732873697","https://openalex.org/W2767077637","https://openalex.org/W2793896117","https://openalex.org/W2794423274","https://openalex.org/W2803321336","https://openalex.org/W2890231632","https://openalex.org/W2895672601","https://openalex.org/W2902637964","https://openalex.org/W2908970112","https://openalex.org/W2912419999","https://openalex.org/W2948019632","https://openalex.org/W2964309882","https://openalex.org/W2996187312","https://openalex.org/W3005072436","https://openalex.org/W3118405591","https://openalex.org/W3121191616","https://openalex.org/W3122678879","https://openalex.org/W3124228313","https://openalex.org/W3136516155","https://openalex.org/W3146598710","https://openalex.org/W4200519454","https://openalex.org/W4210509679","https://openalex.org/W4213258165","https://openalex.org/W4281643461","https://openalex.org/W4283077289","https://openalex.org/W4309845628","https://openalex.org/W4382897077","https://openalex.org/W4383901230","https://openalex.org/W4387520943","https://openalex.org/W4387672415","https://openalex.org/W4388906127","https://openalex.org/W4400135851","https://openalex.org/W4401758811","https://openalex.org/W4403929813","https://openalex.org/W4405420971","https://openalex.org/W4409564410","https://openalex.org/W4410966558"],"related_works":[],"abstract_inverted_index":{"The":[0,50,122],"housing":[1,27,65,76,158,167],"prices":[2,28],"are":[3],"crucial":[4],"to":[5,39,71,93,117,127,136],"the":[6,10,21,43,73,79,95,106,110,118,128,147,150,164,171,176,181],"sustainable":[7],"development":[8],"of":[9,23,42,57,75,149,166,183],"real":[11],"estate":[12],"market.":[13],"Nowadays,":[14],"few":[15],"academic":[16],"attempts":[17],"have":[18],"focused":[19],"on":[20,26],"impact":[22],"multi-dimensional":[24],"accessibility":[25,124,134],"in":[29,170],"a":[30,102],"large-scale":[31],"area.":[32],"This":[33],"study":[34],"utilized":[35],"machine":[36],"learning":[37],"methods":[38],"extract":[40],"indicators":[41,51],"visual":[44,154],"environment":[45],"from":[46],"street":[47],"view":[48],"images.":[49],"were":[52,86],"combined":[53],"with":[54,88],"multiple":[55],"sources":[56],"spatiotemporal":[58],"geographic":[59],"big":[60],"data,":[61],"such":[62],"as":[63,101],"second-hand":[64],"data":[66],"and":[67,83,105,132,138,157,174],"online":[68],"map":[69],"POIs,":[70],"quantify":[72],"factors":[74,156],"prices.":[77,159],"Both":[78],"hedonic":[80,119],"price":[81,120,168],"model":[82],"random":[84,111],"forest":[85,112],"constructed,":[87],"Shapley":[89],"additive":[90],"explanations":[91],"applied":[92],"interpret":[94],"results.":[96],"Our":[97,160],"work":[98],"took":[99],"Shanghai":[100],"case":[103],"study,":[104],"results":[107],"indicate":[108],"that":[109],"exhibits":[113,141],"superior":[114],"performance":[115],"compared":[116],"model.":[121],"location":[123],"(e.g.,":[125,135],"distance":[126],"CBD)":[129],"is":[130],"paramount,":[131],"functional":[133],"subways":[137],"finance":[139],"facilities)":[140],"nonlinear":[142,151],"thresholds.":[143],"We":[144],"further":[145],"uncovered":[146],"characteristics":[148],"relationship":[152],"between":[153],"environmental":[155],"findings":[161],"can":[162],"deepen":[163],"understanding":[165],"variation":[169],"spatial":[172],"dimension":[173],"provide":[175],"theoretical":[177],"basis":[178],"for":[179],"ensuring":[180],"optimization":[182],"urban":[184],"planning.":[185]},"counts_by_year":[],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-11-04T00:00:00"}