{"id":"https://openalex.org/W4308068462","doi":"https://doi.org/10.1109/itsc55140.2022.9922456","title":"Stochastic Ridesharing User Equilibrium with Weibit Choice Model","display_name":"Stochastic Ridesharing User Equilibrium with Weibit Choice Model","publication_year":2022,"publication_date":"2022-10-08","ids":{"openalex":"https://openalex.org/W4308068462","doi":"https://doi.org/10.1109/itsc55140.2022.9922456"},"language":"en","primary_location":{"id":"doi:10.1109/itsc55140.2022.9922456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9922456","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","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":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","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/A5004730848","display_name":"Muqing Du","orcid":"https://orcid.org/0000-0001-9389-3685"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Muqing Du","raw_affiliation_strings":["College of Civil and Transportation Engineering, Hohai University,Nanjing,China,210098"],"affiliations":[{"raw_affiliation_string":"College of Civil and Transportation Engineering, Hohai University,Nanjing,China,210098","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084767462","display_name":"Jiankun Zhou","orcid":"https://orcid.org/0000-0002-3434-3701"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jiankun Zhou","raw_affiliation_strings":["The Hong Kong Polytechnic University,Department of Civil and Environment Engineering,Hong Kong,China","Department of Civil and Environment Engineering, The Hong Kong Polytechnic University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Department of Civil and Environment Engineering,Hong Kong,China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Civil and Environment Engineering, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087171054","display_name":"Anthony Chen","orcid":"https://orcid.org/0000-0003-4363-5041"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Anthony Chen","raw_affiliation_strings":["The Hong Kong Polytechnic University,Department of Civil and Environment Engineering,Hong Kong,China","Department of Civil and Environment Engineering, The Hong Kong Polytechnic University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Department of Civil and Environment Engineering,Hong Kong,China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Civil and Environment Engineering, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004730848"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":null,"apc_paid":null,"fwci":0.2168,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3462163,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"4024","last_page":"4029"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":1.0,"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"}},{"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":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6010201573371887},{"id":"https://openalex.org/keywords/mixed-logit","display_name":"Mixed logit","score":0.5352310538291931},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5104869604110718},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5007593631744385},{"id":"https://openalex.org/keywords/logit","display_name":"Logit","score":0.49590691924095154},{"id":"https://openalex.org/keywords/mode-choice","display_name":"Mode choice","score":0.4161011278629303},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.41599130630493164},{"id":"https://openalex.org/keywords/travel-behavior","display_name":"Travel behavior","score":0.4119681715965271},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3867560029029846},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3779197335243225},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.27060070633888245},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.25495654344558716},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.2288151979446411},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21779033541679382},{"id":"https://openalex.org/keywords/public-transport","display_name":"Public transport","score":0.1786973476409912},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15742430090904236},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.15587112307548523},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09120398759841919}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6010201573371887},{"id":"https://openalex.org/C95057490","wikidata":"https://www.wikidata.org/wiki/Q6883984","display_name":"Mixed logit","level":3,"score":0.5352310538291931},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5104869604110718},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5007593631744385},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.49590691924095154},{"id":"https://openalex.org/C2776017872","wikidata":"https://www.wikidata.org/wiki/Q3226683","display_name":"Mode choice","level":3,"score":0.4161011278629303},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.41599130630493164},{"id":"https://openalex.org/C144072006","wikidata":"https://www.wikidata.org/wiki/Q4462116","display_name":"Travel behavior","level":2,"score":0.4119681715965271},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3867560029029846},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3779197335243225},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.27060070633888245},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.25495654344558716},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.2288151979446411},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21779033541679382},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.1786973476409912},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15742430090904236},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.15587112307548523},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09120398759841919},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc55140.2022.9922456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9922456","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","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":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.75,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G6640031023","display_name":null,"funder_award_id":"71801079,72071174","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W55235990","https://openalex.org/W585364677","https://openalex.org/W1972180777","https://openalex.org/W1975006524","https://openalex.org/W1986613034","https://openalex.org/W2001560396","https://openalex.org/W2009327560","https://openalex.org/W2023407404","https://openalex.org/W2035566500","https://openalex.org/W2039423859","https://openalex.org/W2060633232","https://openalex.org/W2063182345","https://openalex.org/W2077843120","https://openalex.org/W2082848291","https://openalex.org/W2088994994","https://openalex.org/W2144088320","https://openalex.org/W2235269566","https://openalex.org/W2245865052","https://openalex.org/W2610399719","https://openalex.org/W2773435318","https://openalex.org/W2806754475","https://openalex.org/W2913364224","https://openalex.org/W2973199529","https://openalex.org/W3006276779","https://openalex.org/W3034703225","https://openalex.org/W3127809440","https://openalex.org/W3161153024","https://openalex.org/W6617218350","https://openalex.org/W6690625990"],"related_works":["https://openalex.org/W3154353791","https://openalex.org/W2102850407","https://openalex.org/W646901987","https://openalex.org/W2108863228","https://openalex.org/W1997559251","https://openalex.org/W2088089601","https://openalex.org/W2084742599","https://openalex.org/W2188096172","https://openalex.org/W4367853042","https://openalex.org/W2244704841"],"abstract_inverted_index":{"As":[0],"one":[1],"of":[2,19,60,150,159,172,208],"the":[3,9,27,33,48,58,68,73,90,104,111,119,125,141,148,157,186,206,209],"most":[4],"promising":[5],"travel":[6,24,80,83,173],"modes":[7,81,130],"in":[8,47,110,185],"modern":[10],"urban":[11],"transportation":[12],"network,":[13],"ridesharing":[14,30,113,134,136,151,160,177],"is":[15,76],"widely":[16],"favored":[17],"because":[18],"its":[20],"convenience":[21],"and":[22,38,107,138,153],"lower":[23],"costs.":[25],"In":[26,85,118],"literature":[28],"on":[29,124],"equilibrium":[31,36,42,115],"modeling,":[32],"deterministic":[34],"user":[35,41,114],"(DUE)":[37],"logit-based":[39,69],"stochastic":[40,112],"(SUE)":[43],"are":[44,202],"often":[45],"adopted":[46],"role":[49],"choice":[50,106,109],"or":[51,82],"route":[52,108],"choice.":[53],"Although":[54],"SUE":[55,70,100],"models":[56,62],"tackle":[57],"inability":[59],"DUE":[61],"that":[63,170],"cannot":[64],"consider":[65,140,164],"perception":[66,74,92],"errors,":[67],"model":[71,101,198],"assumes":[72],"variance":[75,93],"fixed":[77],"for":[78,194],"all":[79],"routes.":[84],"order":[86],"to":[87,102,204],"deal":[88],"with":[89],"homogenous":[91],"issue,":[94],"this":[95,196],"study":[96],"proposes":[97],"a":[98,165,191],"weibit-based":[99,210],"characterize":[103],"mode":[105],"(SRUE)":[116],"problem.":[117,188],"proposed":[120],"model,":[121],"we":[122,163],"focus":[123],"travelers'":[126],"conversion":[127],"among":[128],"three":[129],"(i.e.,":[131,147,156],"solo":[132],"driver,":[133,135],"passenger)":[137],"explicitly":[139],"relationship":[142],"between":[143],"origin-destination":[144],"(O\u2013D)":[145],"supply":[146],"number":[149,158],"drivers)":[152],"O\u2013D":[154],"demand":[155],"passengers).":[161],"Moreover,":[162],"non-additive":[166],"path":[167],"cost":[168,184],"function":[169],"consists":[171],"time,":[174],"monetary":[175],"cost,":[176],"compensation,":[178],"<tex":[179],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[180],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$a$</tex>":[181],"nd/or":[182],"inconvenient":[183],"SRUE":[187,211],"We":[189],"customize":[190],"solution":[192],"framework":[193],"solving":[195],"novel":[197],"efficiently.":[199],"Numerical":[200],"examples":[201],"conducted":[203],"illustrate":[205],"applicability":[207],"model.":[212]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
