{"id":"https://openalex.org/W3094613756","doi":"https://doi.org/10.1109/icite50838.2020.9231366","title":"Route Choice Model of the Major Passenger Group in Urban Rail Transit: A Case Study of Beijing, China","display_name":"Route Choice Model of the Major Passenger Group in Urban Rail Transit: A Case Study of Beijing, China","publication_year":2020,"publication_date":"2020-09-01","ids":{"openalex":"https://openalex.org/W3094613756","doi":"https://doi.org/10.1109/icite50838.2020.9231366","mag":"3094613756"},"language":"en","primary_location":{"id":"doi:10.1109/icite50838.2020.9231366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icite50838.2020.9231366","pdf_url":null,"source":{"id":"https://openalex.org/S4306498662","display_name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","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/A5100369861","display_name":"Chen Li","orcid":"https://orcid.org/0000-0002-7028-0437"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chen Li","raw_affiliation_strings":["Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048785737","display_name":"Xinjian Liu","orcid":"https://orcid.org/0000-0002-1979-7537"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinjian Liu","raw_affiliation_strings":["Beijing Metro Construction Administration Corporation Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Metro Construction Administration Corporation Ltd., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064029510","display_name":"Yunyun Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123392","display_name":"Beijing Municipal Ecological and Environmental Monitoring Center","ror":"https://ror.org/02ygbbs43","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210123392"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunyun Bai","raw_affiliation_strings":["Beijing Key Laboratory for Comprehensive Traffic Operation Monitoring and Service, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory for Comprehensive Traffic Operation Monitoring and Service, Beijing, China","institution_ids":["https://openalex.org/I4210123392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408056","display_name":"Bo Wang","orcid":"https://orcid.org/0000-0002-0977-3451"},"institutions":[{"id":"https://openalex.org/I4210123392","display_name":"Beijing Municipal Ecological and Environmental Monitoring Center","ror":"https://ror.org/02ygbbs43","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210123392"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Wang","raw_affiliation_strings":["Beijing Key Laboratory for Comprehensive Traffic Operation Monitoring and Service, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory for Comprehensive Traffic Operation Monitoring and Service, Beijing, China","institution_ids":["https://openalex.org/I4210123392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112596839","display_name":"Jianling Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123392","display_name":"Beijing Municipal Ecological and Environmental Monitoring Center","ror":"https://ror.org/02ygbbs43","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210123392"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianling Huang","raw_affiliation_strings":["Beijing Key Laboratory for Comprehensive Traffic Operation Monitoring and Service, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory for Comprehensive Traffic Operation Monitoring and Service, Beijing, China","institution_ids":["https://openalex.org/I4210123392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100702787","display_name":"Yanyan Chen","orcid":"https://orcid.org/0000-0002-7068-4669"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyan Chen","raw_affiliation_strings":["Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100369861"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.529,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63089005,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"8","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9998999834060669,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9998999834060669,"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":0.9991000294685364,"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":0.9959999918937683,"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/beijing","display_name":"Beijing","score":0.9023586511611938},{"id":"https://openalex.org/keywords/urban-rail-transit","display_name":"Urban rail transit","score":0.7453705072402954},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.6615371108055115},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.5954647660255432},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4785086214542389},{"id":"https://openalex.org/keywords/rail-transit","display_name":"Rail transit","score":0.4588286578655243},{"id":"https://openalex.org/keywords/mixed-logit","display_name":"Mixed logit","score":0.44359830021858215},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4229237735271454},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.3869548439979553},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3737430274486542},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2417721450328827},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20991691946983337}],"concepts":[{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.9023586511611938},{"id":"https://openalex.org/C2780434240","wikidata":"https://www.wikidata.org/wiki/Q3491904","display_name":"Urban rail transit","level":2,"score":0.7453705072402954},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.6615371108055115},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.5954647660255432},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4785086214542389},{"id":"https://openalex.org/C2992701429","wikidata":"https://www.wikidata.org/wiki/Q3491904","display_name":"Rail transit","level":2,"score":0.4588286578655243},{"id":"https://openalex.org/C95057490","wikidata":"https://www.wikidata.org/wiki/Q6883984","display_name":"Mixed logit","level":3,"score":0.44359830021858215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4229237735271454},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.3869548439979553},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3737430274486542},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2417721450328827},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20991691946983337},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icite50838.2020.9231366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icite50838.2020.9231366","pdf_url":null,"source":{"id":"https://openalex.org/S4306498662","display_name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W563820394","https://openalex.org/W1819491816","https://openalex.org/W2001549036","https://openalex.org/W2004641550","https://openalex.org/W2042089672","https://openalex.org/W2280942500","https://openalex.org/W2383895823","https://openalex.org/W2389978795"],"related_works":["https://openalex.org/W2011781613","https://openalex.org/W2953473307","https://openalex.org/W1980504576","https://openalex.org/W4388138713","https://openalex.org/W2033691733","https://openalex.org/W2903291457","https://openalex.org/W2004724997","https://openalex.org/W2037782317","https://openalex.org/W2355319735","https://openalex.org/W2365014820"],"abstract_inverted_index":{"It":[0],"is":[1,91,101,130,140],"difficult":[2],"to":[3,17,27,142],"find":[4],"the":[5,11,18,21,29,48,70,76,81,102,107,126,137,144],"rules":[6],"of":[7,52,59,80,125,146],"passenger":[8,34,104,128],"flow":[9],"in":[10,20,40],"urban":[12,42],"rail":[13,43],"transit":[14,44],"(URT)":[15],"due":[16],"difficulty":[19],"travel":[22],"choice":[23,31,57,78,112,123],"collection.":[24],"In":[25],"order":[26],"study":[28],"route":[30,77,111,122],"rule,":[32],"a":[33],"intention":[35,58],"survey":[36],"has":[37],"been":[38],"conducted":[39],"Beijing":[41],"(BURT),":[45],"which":[46,100],"includes":[47],"socio-economic":[49,71],"attributes,":[50],"perception":[51],"transfer":[53],"and":[54,56,83,88,93,115],"congestion,":[55],"passengers.":[60],"BURT":[61,138],"passengers":[62,85,95],"are":[63,113],"divided":[64],"into":[65],"eight":[66],"groups":[67],"based":[68,132],"on":[69,133],"attributes.":[72],"Of":[73],"these":[74,94],"groups,":[75],"trend":[79],"young":[82],"middle-aged":[84],"with":[86],"low":[87],"medium":[89],"income":[90],"similar,":[92],"account":[96],"for":[97],"75":[98],"percent,":[99],"major":[103,127],"group.":[105],"Then":[106],"main":[108],"factors":[109],"influencing":[110],"extracted,":[114],"quantified":[116],"by":[117],"uniform":[118],"cost":[119],"standard.":[120],"And":[121],"model":[124],"group":[129],"constructed":[131],"Logit":[134],"model.":[135,148],"Finally":[136],"network":[139],"used":[141],"verify":[143],"validity":[145],"this":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}