{"id":"https://openalex.org/W4388176887","doi":"https://doi.org/10.1145/3615884.3629432","title":"Spatio-temporal Heterogeneity Analysis of Transportation Equity Based on GTWR","display_name":"Spatio-temporal Heterogeneity Analysis of Transportation Equity Based on GTWR","publication_year":2023,"publication_date":"2023-11-01","ids":{"openalex":"https://openalex.org/W4388176887","doi":"https://doi.org/10.1145/3615884.3629432"},"language":"en","primary_location":{"id":"doi:10.1145/3615884.3629432","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3615884.3629432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM SIGSPATIAL International Workshop on Security Response using GIS 2023","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052709065","display_name":"Shihui Hu","orcid":"https://orcid.org/0009-0006-5669-084X"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shihui Hu","raw_affiliation_strings":["Beijing University of Chemical Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101491119","display_name":"Xinmeng Wan","orcid":"https://orcid.org/0009-0004-3342-2979"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinmeng Wan","raw_affiliation_strings":["Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014798583","display_name":"Danhuai Guo","orcid":"https://orcid.org/0000-0002-9131-6363"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danhuai Guo","raw_affiliation_strings":["Spatial Intelligent Research Lab, College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Spatial Intelligent Research Lab, College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052709065"],"corresponding_institution_ids":["https://openalex.org/I75390827"],"apc_list":null,"apc_paid":null,"fwci":0.7795,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7974157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"36","last_page":"43"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10298","display_name":"Urban Transport and Accessibility","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/equity","display_name":"Equity (law)","score":0.677484393119812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5531967282295227},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4649476110935211},{"id":"https://openalex.org/keywords/open-data","display_name":"Open data","score":0.4538520574569702},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4367196559906006},{"id":"https://openalex.org/keywords/travel-behavior","display_name":"Travel behavior","score":0.43643718957901},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.4358961284160614},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.42820116877555847},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3509771227836609},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32487744092941284},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.18465346097946167},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11417698860168457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11037030816078186}],"concepts":[{"id":"https://openalex.org/C199728807","wikidata":"https://www.wikidata.org/wiki/Q2578557","display_name":"Equity (law)","level":2,"score":0.677484393119812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5531967282295227},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4649476110935211},{"id":"https://openalex.org/C2780535194","wikidata":"https://www.wikidata.org/wiki/Q309901","display_name":"Open data","level":2,"score":0.4538520574569702},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4367196559906006},{"id":"https://openalex.org/C144072006","wikidata":"https://www.wikidata.org/wiki/Q4462116","display_name":"Travel behavior","level":2,"score":0.43643718957901},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.4358961284160614},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.42820116877555847},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3509771227836609},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32487744092941284},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.18465346097946167},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11417698860168457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11037030816078186},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3615884.3629432","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3615884.3629432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM SIGSPATIAL International Workshop on Security Response using GIS 2023","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W587635367","https://openalex.org/W1842244246","https://openalex.org/W1971794754","https://openalex.org/W2071936897","https://openalex.org/W2366734298","https://openalex.org/W2370292263","https://openalex.org/W2902118657","https://openalex.org/W6617242428"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2400751427","https://openalex.org/W2786702525","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2393816671","https://openalex.org/W2158836806"],"abstract_inverted_index":{"Online":[0],"car-hailing":[1,77],"services":[2],"have":[3],"become":[4],"increasingly":[5],"popular":[6],"for":[7,18,188],"their":[8],"convenience":[9],"and":[10,28,54,69,80,92,147,184],"efficiency.":[11],"However,":[12],"this":[13,47,49],"trend":[14],"has":[15,37,86,122],"presented":[16],"challenges":[17],"the":[19,38,52,110,114,127,136,144,149,158,170,177,181],"elderly":[20,115,145,182],"population,":[21],"who":[22],"may":[23],"struggle":[24],"with":[25],"smartphone":[26],"usage":[27],"thus":[29],"face":[30],"difficulties":[31,141],"accessing":[32],"these":[33],"services.":[34],"This":[35],"issue":[36],"potential":[39],"to":[40,89,108,125,176],"worsen":[41],"existing":[42],"traffic":[43,66],"inequalities.":[44],"To":[45],"address":[46],"issue,":[48],"paper":[50],"analysis":[51],"spatial":[53],"temporal":[55],"heterogeneity":[56],"of":[57,61,72,113,129,151,180],"urban":[58],"transportation":[59,172,190],"pattern":[60],"Chengdu":[62],"City":[63],"by":[64,143],"utilizing":[65],"flow":[67],"data":[68,79],"various":[70],"sources":[71],"information":[73,94],"such":[74],"as":[75],"online":[76],"order":[78],"POI":[81],"data.":[82],"The":[83,132,162],"LDA":[84],"model":[85],"been":[87,123],"employed":[88],"extract":[90],"semantic":[91],"spatial-temporal":[93],"from":[95],"ride-hailing":[96],"users,":[97],"which":[98],"is":[99],"then":[100],"integrated":[101],"into":[102,168],"an":[103],"enhanced":[104],"spectral":[105],"clustering":[106],"algorithm":[107],"identify":[109],"specific":[111],"needs":[112],"population.":[116],"Furthermore,":[117],"a":[118],"travel":[119,130,140,155,178],"equity":[120,156],"index":[121],"established":[124],"evaluate":[126],"fairness":[128],"opportunities.":[131],"study":[133],"also":[134],"investigates":[135],"spatio-temporal":[137],"variations":[138],"in":[139],"faced":[142],"group":[146,183],"explores":[148],"diversity":[150],"factors":[152],"that":[153],"influence":[154],"using":[157],"GTWR":[159],"regression":[160],"model.":[161],"research":[163],"findings":[164],"provide":[165],"valuable":[166],"insights":[167],"whether":[169],"current":[171],"infrastructure":[173],"adequately":[174],"caters":[175],"requirements":[179],"offer":[185],"effective":[186],"recommendations":[187],"future":[189],"planning.":[191]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}