{"id":"https://openalex.org/W4415707490","doi":"https://doi.org/10.1109/tits.2025.3614241","title":"Urban Transport Mode Split Prediction: A Hybrid Deep Learning Framework Considering Spatiotemporal Dependency","display_name":"Urban Transport Mode Split Prediction: A Hybrid Deep Learning Framework Considering Spatiotemporal Dependency","publication_year":2025,"publication_date":"2025-10-30","ids":{"openalex":"https://openalex.org/W4415707490","doi":"https://doi.org/10.1109/tits.2025.3614241"},"language":null,"primary_location":{"id":"doi:10.1109/tits.2025.3614241","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3614241","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/A5100539153","display_name":"Juanjuan Zhao","orcid":"https://orcid.org/0000-0003-1002-9272"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Juanjuan Zhao","raw_affiliation_strings":["Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100652901","display_name":"Hao Yan","orcid":"https://orcid.org/0000-0002-4322-7323"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Yan","raw_affiliation_strings":["Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049608025","display_name":"Li Sun","orcid":"https://orcid.org/0000-0003-1044-4740"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Sun","raw_affiliation_strings":["Shenzhen College of Advanced Technology and Shenzhen Institutes of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen College of Advanced Technology and Shenzhen Institutes of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076901773","display_name":"Furong Zheng","orcid":"https://orcid.org/0000-0002-9996-7814"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Furong Zheng","raw_affiliation_strings":["Shenzhen College of Advanced Technology and Shenzhen Institutes of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen College of Advanced Technology and Shenzhen Institutes of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026189787","display_name":"Xitong Gao","orcid":"https://orcid.org/0000-0002-2063-2051"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xitong Gao","raw_affiliation_strings":["Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403556","display_name":"Fan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Zhang","raw_affiliation_strings":["Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012757772","display_name":"Kejiang Ye","orcid":"https://orcid.org/0000-0001-6133-407X"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kejiang Ye","raw_affiliation_strings":["Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012773300","display_name":"Chengzhong Xu","orcid":"https://orcid.org/0000-0001-9480-0356"},"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"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Chengzhong Xu","raw_affiliation_strings":["Department of Computer Science, State Key Laboratory of IOTSC, University of Macau, Macau, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, State Key Laboratory of IOTSC, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100539153"],"corresponding_institution_ids":["https://openalex.org/I4210145761"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33505957,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":"11","first_page":"19626","last_page":"19644"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.7583000063896179,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.7583000063896179,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.07050000131130219,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.06750000268220901,"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/mode","display_name":"Mode (computer interface)","score":0.7257999777793884},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6585000157356262},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6220999956130981},{"id":"https://openalex.org/keywords/mode-choice","display_name":"Mode choice","score":0.5814999938011169},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5374000072479248},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.536300003528595},{"id":"https://openalex.org/keywords/trip-distribution","display_name":"Trip distribution","score":0.46950000524520874},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.41530001163482666},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41510000824928284}],"concepts":[{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.7257999777793884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6607000231742859},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6585000157356262},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6220999956130981},{"id":"https://openalex.org/C2776017872","wikidata":"https://www.wikidata.org/wiki/Q3226683","display_name":"Mode choice","level":3,"score":0.5814999938011169},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5374000072479248},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.536300003528595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.532800018787384},{"id":"https://openalex.org/C2779214396","wikidata":"https://www.wikidata.org/wiki/Q8560502","display_name":"Trip distribution","level":2,"score":0.46950000524520874},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.41530001163482666},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41510000824928284},{"id":"https://openalex.org/C2778711553","wikidata":"https://www.wikidata.org/wiki/Q924286","display_name":"Transport network","level":2,"score":0.38679999113082886},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37860000133514404},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.3709999918937683},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.3628999888896942},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.35670000314712524},{"id":"https://openalex.org/C190669063","wikidata":"https://www.wikidata.org/wiki/Q5282043","display_name":"Discrete choice","level":2,"score":0.3425000011920929},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3402000069618225},{"id":"https://openalex.org/C39118121","wikidata":"https://www.wikidata.org/wiki/Q1034047","display_name":"Transportation planning","level":2,"score":0.314300000667572},{"id":"https://openalex.org/C157085824","wikidata":"https://www.wikidata.org/wiki/Q2384809","display_name":"TRIPS architecture","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C49545453","wikidata":"https://www.wikidata.org/wiki/Q69883","display_name":"Urban planning","level":2,"score":0.28220000863075256},{"id":"https://openalex.org/C2777974031","wikidata":"https://www.wikidata.org/wiki/Q493641","display_name":"Multimodal transport","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.2590000033378601}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3614241","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3614241","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":[],"awards":[{"id":"https://openalex.org/G1501130358","display_name":null,"funder_award_id":"62376263","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2549837133","display_name":null,"funder_award_id":"62372443","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4645389674","display_name":null,"funder_award_id":"2023YFC3321600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5840464552","display_name":null,"funder_award_id":"2023B1515130002","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G6567542175","display_name":null,"funder_award_id":"0123/2022/AFJ","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7362547439","display_name":null,"funder_award_id":"2024A1515030209","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G8581012970","display_name":null,"funder_award_id":"2024A1515011970","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W79531642","https://openalex.org/W566793937","https://openalex.org/W1827495041","https://openalex.org/W1859757623","https://openalex.org/W1988005902","https://openalex.org/W2028474818","https://openalex.org/W2056495296","https://openalex.org/W2064954028","https://openalex.org/W2066895102","https://openalex.org/W2124300671","https://openalex.org/W2142842320","https://openalex.org/W2145087568","https://openalex.org/W2153207204","https://openalex.org/W2180559388","https://openalex.org/W2278347881","https://openalex.org/W2439008650","https://openalex.org/W2535078255","https://openalex.org/W2587802550","https://openalex.org/W2606105273","https://openalex.org/W2611544773","https://openalex.org/W2748304484","https://openalex.org/W2774646783","https://openalex.org/W2778622078","https://openalex.org/W2801200389","https://openalex.org/W2884443195","https://openalex.org/W2889617671","https://openalex.org/W2903871660","https://openalex.org/W2955544938","https://openalex.org/W2959057294","https://openalex.org/W2964101082","https://openalex.org/W2975938967","https://openalex.org/W2991363349","https://openalex.org/W3027983943","https://openalex.org/W3046107253","https://openalex.org/W3138970093","https://openalex.org/W3145044386","https://openalex.org/W3150739942","https://openalex.org/W3162444228","https://openalex.org/W3177146402","https://openalex.org/W4231490663","https://openalex.org/W4289533787","https://openalex.org/W4312551069","https://openalex.org/W4379793025","https://openalex.org/W4379798527","https://openalex.org/W4382240004","https://openalex.org/W4387846860","https://openalex.org/W4390990545","https://openalex.org/W4403182296"],"related_works":[],"abstract_inverted_index":{"Transport":[0,93],"Mode":[1,94,137],"Split":[2,95],"(TMS)":[3],"represents":[4],"the":[5,80],"distribution":[6],"of":[7,113,156],"trips":[8],"among":[9],"transport":[10,74],"modes":[11],"between":[12,83],"city":[13],"regions.":[14],"Accurate":[15],"TMS":[16,114],"prediction":[17,127],"is":[18],"crucial":[19],"for":[20,92,143,149],"urban":[21],"planning":[22],"and":[23,32,48,65,76,101,124,147],"traffic":[24,66],"management.":[25],"Traditional":[26],"methods,":[27],"such":[28,62],"as":[29,63],"curve":[30],"models":[31,55],"discrete":[33,130],"choice":[34,131],"models,":[35],"often":[36],"fail":[37],"to":[38,45,168],"capture":[39],"user":[40],"travel":[41,144],"mode":[42,75],"pReferences":[43],"due":[44],"dataset":[46],"limitations":[47],"inadequate":[49],"spatiotemporal":[50,122,150],"modeling.":[51],"While":[52],"deep":[53],"learning":[54],"have":[56],"been":[57],"applied":[58],"in":[59],"related":[60],"domains":[61],"ride-sharing":[64],"prediction,":[67],"they":[68],"typically":[69],"focus":[70],"on":[71,153],"a":[72,87,126],"single":[73],"do":[77],"not":[78],"model":[79,128],"competitive":[81],"relationships":[82],"modes.":[84],"We":[85],"propose":[86],"novel":[88],"Deep":[89],"Learning-based":[90],"Framework":[91],"Prediction":[96],"(DMSP),":[97],"integrating":[98],"restricted-route":[99],"(bus/subway)":[100],"free-route":[102],"(taxi)":[103],"data.":[104],"It":[105],"introduces":[106],"two":[107],"key":[108],"innovations:":[109],"1)":[110],"efficient":[111],"extraction":[112],"samples":[115],"from":[116],"sparse":[117],"raw":[118],"data,":[119],"enriched":[120],"with":[121],"context,":[123],"2)":[125],"extending":[129],"theory":[132],"via":[133],"maximum":[134],"utility":[135],"principles.":[136],"utilities":[138],"are":[139],"estimated":[140],"using":[141],"CNNs":[142],"mode-specific":[145],"effects":[146],"GNN":[148],"dependencies.":[151],"Experiments":[152],"six":[154],"months":[155],"Shenzhen":[157],"data":[158],"show":[159],"that":[160],"DMSP":[161],"reduces":[162],"MAPE":[163],"by":[164],"over":[165],"4%":[166],"compared":[167],"existing":[169],"methods.":[170]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-30T00:00:00"}
