{"id":"https://openalex.org/W3088536383","doi":"https://doi.org/10.1109/tits.2020.3023951","title":"Ridesourcing Behavior Analysis and Prediction: A Network Perspective","display_name":"Ridesourcing Behavior Analysis and Prediction: A Network Perspective","publication_year":2020,"publication_date":"2020-09-24","ids":{"openalex":"https://openalex.org/W3088536383","doi":"https://doi.org/10.1109/tits.2020.3023951","mag":"3088536383"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2020.3023951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.3023951","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-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/A5038398834","display_name":"Duxin Chen","orcid":"https://orcid.org/0000-0002-3194-2258"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duxin Chen","raw_affiliation_strings":["Jiangsu Key Laboratory of Networked Collective Intelligence, School of Mathematics, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-3194-2258","affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Networked Collective Intelligence, School of Mathematics, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065985607","display_name":"Qi Shao","orcid":"https://orcid.org/0000-0002-9858-0458"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Shao","raw_affiliation_strings":["Jiangsu Key Laboratory of Networked Collective Intelligence, School of Mathematics, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Networked Collective Intelligence, School of Mathematics, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320722","display_name":"Zhiyuan Liu","orcid":"https://orcid.org/0000-0002-6331-0810"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyuan Liu","raw_affiliation_strings":["Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-6331-0810","affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100627758","display_name":"Wenwu Yu","orcid":"https://orcid.org/0000-0003-3755-179X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenwu Yu","raw_affiliation_strings":["Jiangsu Key Laboratory of Networked Collective Intelligence, School of Mathematics, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-3755-179X","affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Networked Collective Intelligence, School of Mathematics, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643265","display_name":"C. L. Philip Chen","orcid":"https://orcid.org/0000-0001-5451-7230"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN","MO"],"is_corresponding":false,"raw_author_name":"C. L. Philip Chen","raw_affiliation_strings":["Faculty of Science and Technology, University of Macau, Macau, China","Navigation College, Dalian Maritime University, Dalian, China","School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5451-7230","affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]},{"raw_affiliation_string":"Navigation College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5124,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.86368047,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"23","issue":"2","first_page":"1274","last_page":"1283"},"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":0.9998999834060669,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","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/T10698","display_name":"Transportation Planning and Optimization","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"}},{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9991999864578247,"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/predictability","display_name":"Predictability","score":0.8354578018188477},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49454590678215027},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4387974143028259},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23004430532455444},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19625934958457947}],"concepts":[{"id":"https://openalex.org/C197640229","wikidata":"https://www.wikidata.org/wiki/Q2534066","display_name":"Predictability","level":2,"score":0.8354578018188477},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49454590678215027},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4387974143028259},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23004430532455444},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19625934958457947},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2020.3023951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.3023951","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8500000238418579}],"awards":[{"id":"https://openalex.org/G2027255153","display_name":null,"funder_award_id":"2242019K40111","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2227361669","display_name":null,"funder_award_id":"BM2017002","funder_id":"https://openalex.org/F4320330188","funder_display_name":"Jiangsu Provincial Key Laboratory of Networked Collective Intelligence, Southeast University"},{"id":"https://openalex.org/G5787787241","display_name":null,"funder_award_id":"61903079","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6315690620","display_name":null,"funder_award_id":"61673107","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/F4320330188","display_name":"Jiangsu Provincial Key Laboratory of Networked Collective Intelligence, Southeast University","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1513912361","https://openalex.org/W1538026089","https://openalex.org/W1606050636","https://openalex.org/W1972019869","https://openalex.org/W1972309850","https://openalex.org/W1982300822","https://openalex.org/W1983925762","https://openalex.org/W1987228002","https://openalex.org/W1995875735","https://openalex.org/W2010567219","https://openalex.org/W2012045155","https://openalex.org/W2014378137","https://openalex.org/W2021674713","https://openalex.org/W2023019696","https://openalex.org/W2056284729","https://openalex.org/W2057817727","https://openalex.org/W2062507115","https://openalex.org/W2066873261","https://openalex.org/W2073689275","https://openalex.org/W2079656678","https://openalex.org/W2084538642","https://openalex.org/W2107745473","https://openalex.org/W2109691503","https://openalex.org/W2122962290","https://openalex.org/W2134603844","https://openalex.org/W2134946452","https://openalex.org/W2158345509","https://openalex.org/W2509860226","https://openalex.org/W2516964143","https://openalex.org/W2523233292","https://openalex.org/W2597251875","https://openalex.org/W2604829132","https://openalex.org/W2737636042","https://openalex.org/W2760724745","https://openalex.org/W2767802829","https://openalex.org/W2771805619","https://openalex.org/W2786494879","https://openalex.org/W2788328267","https://openalex.org/W2792091275","https://openalex.org/W2792872747","https://openalex.org/W2795267316","https://openalex.org/W2799969917","https://openalex.org/W2802229831","https://openalex.org/W2802508687","https://openalex.org/W2806967268","https://openalex.org/W2872332010","https://openalex.org/W2886864340","https://openalex.org/W2890500601","https://openalex.org/W2890813471","https://openalex.org/W2903890472","https://openalex.org/W2909546160","https://openalex.org/W2913531264","https://openalex.org/W2986133642","https://openalex.org/W3103454491","https://openalex.org/W3105035859","https://openalex.org/W3125549756","https://openalex.org/W4240908132","https://openalex.org/W4242099633","https://openalex.org/W4312976495","https://openalex.org/W6636280011","https://openalex.org/W6679935922","https://openalex.org/W6727593702","https://openalex.org/W6748250706","https://openalex.org/W6748267319"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2726467123","https://openalex.org/W2064726690","https://openalex.org/W4254065731","https://openalex.org/W4252678288","https://openalex.org/W1607297154","https://openalex.org/W4210820789","https://openalex.org/W2913177154","https://openalex.org/W4237782192","https://openalex.org/W4235131201"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,9,38,43,49,68,78,81,94,100,133,142,160,177,183,199],"spatiotemporal":[4],"characteristics":[5],"and":[6,42,99,111,121],"predictability":[7,134],"of":[8,21,30,51,54,67,77,83,93,96,135,138,176,186,201],"emerging":[10],"modern":[11],"traffic":[12,55,65,155,161,184],"behavior,":[13,56],"ridesourcing.":[14],"We":[15,180],"collect":[16],"a":[17,26,31,59,71,91,127,145,166],"comprehensive":[18],"data":[19],"set":[20],"Didi":[22],"ridesourcing":[23,88,178,187],"cars":[24,188],"on":[25],"large":[27],"geographical":[28],"scale":[29],"capital":[32],"city":[33,79],"in":[34],"China,":[35],"including":[36],"both":[37],"temporal":[39,112],"order":[40],"information":[41],"GPS-recorded":[44],"spatial":[45,110],"trajectories.":[46],"To":[47],"extract":[48],"features":[50,113],"this":[52,136],"kind":[53,137],"we":[57,125,164],"construct":[58],"large-scale":[60],"network":[61,89,107,169,202],"by":[62,140,158],"considering":[63,159],"every":[64],"flow":[66],"orders.":[69],"Therein,":[70],"driver":[72],"consecutively":[73],"visiting":[74],"different":[75],"regions":[76],"connects":[80],"relationship":[82],"these":[84],"sites.":[85],"The":[86,106],"weighted":[87],"shows":[90],"consistency":[92],"distribution":[95],"trip":[97],"orders":[98],"Clark":[101],"model":[102,171],"for":[103,172],"population":[104],"distribution.":[105],"also":[108],"has":[109],"with":[114,118],"power":[115],"laws,":[116],"sometimes":[117],"exponential":[119],"truncations":[120],"log-normal":[122],"distributions.":[123],"Furthermore,":[124],"propose":[126,165],"general":[128],"analytical":[129],"method":[130],"to":[131,152],"quantify":[132,153],"behavior":[139,185],"calculating":[141],"entropy":[143],"at":[144],"collective":[146],"level,":[147],"which":[148,193],"can":[149,194],"be":[150,195],"extended":[151],"other":[154],"behaviors.":[156],"Finally,":[157],"congestion":[162],"factor,":[163],"better":[167],"neural":[168],"based":[170],"predicting":[173],"dwelling":[174],"time":[175],"behavior.":[179],"suggest":[181],"that":[182],"indicates":[189],"specific":[190],"non-Markovian":[191],"characteristics,":[192],"systematically":[196],"analyzed":[197],"from":[198],"viewpoint":[200],"sciences.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
