{"id":"https://openalex.org/W4313004837","doi":"https://doi.org/10.1109/geoinformatics57846.2022.9963833","title":"Taxi travel time based Geographically Weighted Regression Model (GWR) for modeling public housing prices in Singapore","display_name":"Taxi travel time based Geographically Weighted Regression Model (GWR) for modeling public housing prices in Singapore","publication_year":2022,"publication_date":"2022-08-15","ids":{"openalex":"https://openalex.org/W4313004837","doi":"https://doi.org/10.1109/geoinformatics57846.2022.9963833"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics57846.2022.9963833","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics57846.2022.9963833","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 29th International Conference on Geoinformatics","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=8711&context=sis_research","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115589383","display_name":"Yian Wang","orcid":"https://orcid.org/0009-0002-9268-0527"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi'an Wang","raw_affiliation_strings":["School of Geographic Sciences, East China Normal University,Shanghai,China","Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities (Ministry of Natural Resources), East China Normal University, Shanghai, China","School of Geographic Sciences, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geographic Sciences, East China Normal University,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities (Ministry of Natural Resources), East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I211433327","https://openalex.org/I66867065"]},{"raw_affiliation_string":"School of Geographic Sciences, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050340523","display_name":"Fangyi Cai","orcid":"https://orcid.org/0000-0003-3241-9327"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Fangyi Cai","raw_affiliation_strings":["National University of Singapore,Department of Geography,Singapore","Department of Geography, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore,Department of Geography,Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Department of Geography, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064932423","display_name":"Shih-Fen Cheng","orcid":"https://orcid.org/0000-0001-9398-7892"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shih-Fen Cheng","raw_affiliation_strings":["School of Computing and Information Systems, Singapore Management University,Singapore","School of Computing and Information Systems, Singapore Management University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Information Systems, Singapore Management University,Singapore","institution_ids":["https://openalex.org/I79891267"]},{"raw_affiliation_string":"School of Computing and Information Systems, Singapore Management University, Singapore","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058815931","display_name":"Bo Wu","orcid":"https://orcid.org/0000-0002-8911-1625"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Wu","raw_affiliation_strings":["School of Geography and Environment, Jiangxi Normal University,Nanchang,Jiangxi,China","School of Geography and Environment, Jiangxi Normal University, Nanchang, Jiangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography and Environment, Jiangxi Normal University,Nanchang,Jiangxi,China","institution_ids":["https://openalex.org/I53592917"]},{"raw_affiliation_string":"School of Geography and Environment, Jiangxi Normal University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091784428","display_name":"Kai Cao","orcid":"https://orcid.org/0000-0002-9524-4942"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Cao","raw_affiliation_strings":["School of Geographic Sciences, East China Normal University,Shanghai,China","Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai, China","Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities (Ministry of Natural Resources), East China Normal University, Shanghai, China","School of Geographic Sciences, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geographic Sciences, East China Normal University,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities (Ministry of Natural Resources), East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I211433327","https://openalex.org/I66867065"]},{"raw_affiliation_string":"School of Geographic Sciences, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35043595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"67","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10632","display_name":"Housing Market and Economics","score":0.9987999796867371,"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":0.9987999796867371,"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/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9986000061035156,"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/T11014","display_name":"Regional Economics and Spatial Analysis","score":0.9979000091552734,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ordinary-least-squares","display_name":"Ordinary least squares","score":0.7547610998153687},{"id":"https://openalex.org/keywords/geographically-weighted-regression","display_name":"Geographically Weighted Regression","score":0.7319623231887817},{"id":"https://openalex.org/keywords/public-transport","display_name":"Public transport","score":0.7220248579978943},{"id":"https://openalex.org/keywords/travel-time","display_name":"Travel time","score":0.6588034629821777},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5723210573196411},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5030638575553894},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.47586578130722046},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4537206292152405},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.42516979575157166},{"id":"https://openalex.org/keywords/travel-behavior","display_name":"Travel behavior","score":0.41371840238571167},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.41355186700820923},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.266541451215744},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26065734028816223},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2420366108417511},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20099231600761414},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.16813889145851135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.06924000382423401}],"concepts":[{"id":"https://openalex.org/C99656134","wikidata":"https://www.wikidata.org/wiki/Q2912993","display_name":"Ordinary least squares","level":2,"score":0.7547610998153687},{"id":"https://openalex.org/C2910321205","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geographically Weighted Regression","level":2,"score":0.7319623231887817},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.7220248579978943},{"id":"https://openalex.org/C2985733770","wikidata":"https://www.wikidata.org/wiki/Q1233007","display_name":"Travel time","level":2,"score":0.6588034629821777},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5723210573196411},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5030638575553894},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.47586578130722046},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4537206292152405},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.42516979575157166},{"id":"https://openalex.org/C144072006","wikidata":"https://www.wikidata.org/wiki/Q4462116","display_name":"Travel behavior","level":2,"score":0.41371840238571167},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.41355186700820923},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.266541451215744},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26065734028816223},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2420366108417511},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20099231600761414},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.16813889145851135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.06924000382423401}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/geoinformatics57846.2022.9963833","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics57846.2022.9963833","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 29th International Conference on Geoinformatics","raw_type":"proceedings-article"},{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-8711","is_oa":true,"landing_page_url":"https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=8711&context=sis_research","pdf_url":null,"source":{"id":"https://openalex.org/S4306401925","display_name":"Singapore Management University Institutional Knowledge (InK) (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1109/Geoinformatics57846.2022.9963833","raw_type":"Conference Proceeding Article"}],"best_oa_location":{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-8711","is_oa":true,"landing_page_url":"https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=8711&context=sis_research","pdf_url":null,"source":{"id":"https://openalex.org/S4306401925","display_name":"Singapore Management University Institutional Knowledge (InK) (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1109/Geoinformatics57846.2022.9963833","raw_type":"Conference Proceeding Article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W365352212","https://openalex.org/W1980398988","https://openalex.org/W1989664552","https://openalex.org/W2025711399","https://openalex.org/W2035655493","https://openalex.org/W2041788742","https://openalex.org/W2044880706","https://openalex.org/W2085036034","https://openalex.org/W2136476144","https://openalex.org/W2144488606","https://openalex.org/W2316726368","https://openalex.org/W2345610996","https://openalex.org/W2584685320","https://openalex.org/W2795310549","https://openalex.org/W2883482029","https://openalex.org/W2895778259","https://openalex.org/W2933512823","https://openalex.org/W2954657338","https://openalex.org/W2961398567","https://openalex.org/W2967552504","https://openalex.org/W2997990601"],"related_works":["https://openalex.org/W2093761689","https://openalex.org/W1520214864","https://openalex.org/W2748959688","https://openalex.org/W2995340247","https://openalex.org/W3011225402","https://openalex.org/W2032807833","https://openalex.org/W123087913","https://openalex.org/W624185289","https://openalex.org/W2134006231","https://openalex.org/W1520414485"],"abstract_inverted_index":{"In":[0,29],"this":[1],"research,":[2],"a":[3,31,130],"taxi":[4,36,73,144,153],"travel":[5,63,74,110,126,145,154,159],"time":[6,75,111,127,146,155,160],"based":[7,52,59,76,106],"Geographically":[8],"Weighted":[9],"Regression":[10],"model":[11,18,48,51,58,78,105],"(GWR)":[12],"is":[13,98],"proposed":[14,35],"and":[15,40,56,87,150,156],"utilized":[16],"to":[17,113,133,143,172],"the":[19,24,34,84,91,103,114,123,137,152,164,176],"public":[20,61,108,124,138,157,165],"housing":[21,139,166],"price":[22],"in":[23,135,169,175],"case":[25],"study":[26],"of":[27,116],"Singapore.":[28],"addition,":[30],"comparison":[32],"between":[33],"data":[37],"driven":[38],"GWR":[39,50,57,77,94,104,177],"other":[41],"models,":[42],"such":[43],"as":[44,100,102],"ordinary":[45],"least":[46],"squares":[47],"(OLS),":[49],"on":[53,60,107],"Euclidean":[54,92,173],"distance":[55,174],"transport":[62,109,125,158],"time,":[64,149],"have":[65],"also":[66],"been":[67],"carried":[68],"out.":[69],"Results":[70],"indicates":[71],"that":[72,122],"has":[79,129],"better":[80,89,162],"fitting":[81],"performance":[82],"than":[83,90],"OLS":[85],"model,":[86,95],"slightly":[88],"distance-based":[93],"however,":[96],"it":[97],"not":[99],"good":[101],"according":[112],"metric":[115],"Adjusted":[117],"R2.":[118],"These":[119],"experiments":[120],"indicate":[121],"may":[128],"major":[131],"part":[132],"play":[134],"modeling":[136],"resale":[140,167],"prices":[141,168],"compared":[142,171],"or":[147],"driving":[148],"both":[151],"can":[161],"explain":[163],"Singapore":[170],"modeling.":[178]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
