{"id":"https://openalex.org/W4402261258","doi":"https://doi.org/10.1109/tits.2024.3447611","title":"Origin-Destination Matrix Prediction in Public Transport Networks: Incorporating Heterogeneous Direct and Transfer Trips","display_name":"Origin-Destination Matrix Prediction in Public Transport Networks: Incorporating Heterogeneous Direct and Transfer Trips","publication_year":2024,"publication_date":"2024-09-05","ids":{"openalex":"https://openalex.org/W4402261258","doi":"https://doi.org/10.1109/tits.2024.3447611"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2024.3447611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3447611","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":true,"oa_status":"green","oa_url":"https://eprints.whiterose.ac.uk/224549/1/Origin-Destination_Matrix_Prediction_in_Public_Transport_Networks_Incorporating_Heterogeneous_Direct_and_Transfer_Trips.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082500453","display_name":"Tianli Tang","orcid":"https://orcid.org/0000-0003-2182-6525"},"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":true,"raw_author_name":"Tianli Tang","raw_affiliation_strings":["School of Transportation, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073983592","display_name":"Jiannan Mao","orcid":null},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiannan Mao","raw_affiliation_strings":["School of Transportation Engineering, East China Jiaotong University, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation Engineering, East China Jiaotong University, Nanchang, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054726192","display_name":"Ronghui Liu","orcid":"https://orcid.org/0000-0003-0627-3184"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ronghui Liu","raw_affiliation_strings":["Institute for Transport Studies, University of Leeds, Leeds, U.K"],"affiliations":[{"raw_affiliation_string":"Institute for Transport Studies, University of Leeds, Leeds, U.K","institution_ids":["https://openalex.org/I130828816"]}]},{"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":["School of Transportation, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053431619","display_name":"Yiran Wang","orcid":"https://orcid.org/0000-0003-1263-3860"},"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":"Yiran Wang","raw_affiliation_strings":["School of Transportation, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073698613","display_name":"Di Huang","orcid":"https://orcid.org/0000-0003-0231-9093"},"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":"Di Huang","raw_affiliation_strings":["School of Transportation, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5082500453"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":4.7425,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.937713,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"25","issue":"12","first_page":"19889","last_page":"19903"},"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":0.996399998664856,"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":0.996399998664856,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9797999858856201,"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":0.9754999876022339,"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/trips-architecture","display_name":"TRIPS architecture","score":0.7546302676200867},{"id":"https://openalex.org/keywords/public-transport","display_name":"Public transport","score":0.6872268915176392},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.4849410355091095},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4560839831829071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41027140617370605},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3316913843154907},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23603969812393188},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.22908690571784973}],"concepts":[{"id":"https://openalex.org/C157085824","wikidata":"https://www.wikidata.org/wiki/Q2384809","display_name":"TRIPS architecture","level":2,"score":0.7546302676200867},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.6872268915176392},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.4849410355091095},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4560839831829071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41027140617370605},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3316913843154907},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23603969812393188},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.22908690571784973},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tits.2024.3447611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3447611","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"},{"id":"pmh:oai:eprints.whiterose.ac.uk:224549","is_oa":true,"landing_page_url":"https://orcid.org/0000-0003-0627-3184>","pdf_url":"https://eprints.whiterose.ac.uk/224549/1/Origin-Destination_Matrix_Prediction_in_Public_Transport_Networks_Incorporating_Heterogeneous_Direct_and_Transfer_Trips.pdf","source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"NonPeerReviewed"}],"best_oa_location":{"id":"pmh:oai:eprints.whiterose.ac.uk:224549","is_oa":true,"landing_page_url":"https://orcid.org/0000-0003-0627-3184>","pdf_url":"https://eprints.whiterose.ac.uk/224549/1/Origin-Destination_Matrix_Prediction_in_Public_Transport_Networks_Incorporating_Heterogeneous_Direct_and_Transfer_Trips.pdf","source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"NonPeerReviewed"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7753346255","display_name":null,"funder_award_id":"52311530090/42261144745","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8156833340","display_name":null,"funder_award_id":"BK20230852","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402261258.pdf","grobid_xml":"https://content.openalex.org/works/W4402261258.grobid-xml"},"referenced_works_count":72,"referenced_works":["https://openalex.org/W1908150981","https://openalex.org/W1969488872","https://openalex.org/W1974745827","https://openalex.org/W2007373465","https://openalex.org/W2011869198","https://openalex.org/W2039752354","https://openalex.org/W2041312652","https://openalex.org/W2070751343","https://openalex.org/W2076663670","https://openalex.org/W2093635770","https://openalex.org/W2343167329","https://openalex.org/W2566236551","https://openalex.org/W2581253228","https://openalex.org/W2585427122","https://openalex.org/W2624407581","https://openalex.org/W2756203131","https://openalex.org/W2772724270","https://openalex.org/W2792801956","https://openalex.org/W2901504064","https://openalex.org/W2905076287","https://openalex.org/W2907781544","https://openalex.org/W2913943913","https://openalex.org/W2946160394","https://openalex.org/W2948617822","https://openalex.org/W2951874054","https://openalex.org/W2965857891","https://openalex.org/W2987230596","https://openalex.org/W2998045805","https://openalex.org/W3006854884","https://openalex.org/W3012110674","https://openalex.org/W3014504264","https://openalex.org/W3040607188","https://openalex.org/W3048204913","https://openalex.org/W3085041100","https://openalex.org/W3091038948","https://openalex.org/W3109476376","https://openalex.org/W3111905586","https://openalex.org/W3128016176","https://openalex.org/W3129983003","https://openalex.org/W3135728061","https://openalex.org/W3152893301","https://openalex.org/W3156972038","https://openalex.org/W3162674126","https://openalex.org/W3166646844","https://openalex.org/W3175581386","https://openalex.org/W3176850665","https://openalex.org/W3177028972","https://openalex.org/W3181215716","https://openalex.org/W3191694041","https://openalex.org/W3199024785","https://openalex.org/W3216882134","https://openalex.org/W4200578313","https://openalex.org/W4205173468","https://openalex.org/W4220725457","https://openalex.org/W4221074052","https://openalex.org/W4223654711","https://openalex.org/W4229450637","https://openalex.org/W4296199883","https://openalex.org/W4302774182","https://openalex.org/W4312106615","https://openalex.org/W4313147730","https://openalex.org/W4316661016","https://openalex.org/W4317815249","https://openalex.org/W4319990339","https://openalex.org/W4321331016","https://openalex.org/W4375952536","https://openalex.org/W4377235398","https://openalex.org/W4380304546","https://openalex.org/W4388267965","https://openalex.org/W6739859580","https://openalex.org/W6798596831","https://openalex.org/W7002165978"],"related_works":["https://openalex.org/W3186541905","https://openalex.org/W4207012312","https://openalex.org/W595072900","https://openalex.org/W585010661","https://openalex.org/W4200138784","https://openalex.org/W578848535","https://openalex.org/W4313513485","https://openalex.org/W3127416209","https://openalex.org/W2962922615","https://openalex.org/W2365406785"],"abstract_inverted_index":{"The":[0,108,124,226],"efficient":[1],"operation":[2],"of":[3,140,232,244],"urban":[4,180,245],"bus":[5,38,181,234],"networks":[6],"largely":[7],"depends":[8],"on":[9,19,26,178],"optimised":[10],"scheduling":[11],"conducted":[12],"before":[13],"the":[14,54,69,81,152,162,200,216,230],"one-day":[15],"operation,":[16],"crucially":[17],"relying":[18],"reliable":[20],"origin-destination":[21],"(OD)":[22],"information.":[23],"Passengers":[24],"travel":[25],"direct":[27,87,94,141],"and":[28,35,88,95,119,132,142,148,209,242],"transfer":[29,89,96,143],"trips":[30,97],"due":[31],"to":[32,51,58,79,137,160,184],"complex":[33],"infrastructure":[34],"services":[36],"in":[37,188],"networks.":[39],"These":[40],"two":[41,112,163],"differential":[42],"behaviours":[43],"necessitate":[44],"a":[45,63,115,127,133,155,175,204,211,238],"model":[46,76,131],"that":[47],"captures":[48],"topological":[49],"differences":[50],"accurately":[52,222],"predict":[53,80],"OD":[55,82,190,207],"matrix.":[56,107],"Responding":[57],"this":[59],"need,":[60],"we":[61],"propose":[62],"graph-based":[64],"deep":[65],"learning":[66],"model,":[67],"termed":[68],"Direct-Transfer":[70],"Heterogeneous":[71],"Graph":[72,134],"Network":[73,136],"(DT-HGN).":[74],"This":[75,197],"is":[77],"designed":[78],"matrix":[83,191,208],"whilst":[84],"expressly":[85],"distinguishing":[86],"passenger":[90],"behaviour.":[91],"DT-HGN":[92],"articulates":[93],"as":[98],"distinct":[99],"graphs,":[100],"each":[101],"characterised":[102],"by":[103,221],"its":[104],"unique":[105],"adjacency":[106],"model\u2019s":[109],"architecture":[110],"embraces":[111],"principal":[113],"blocks:":[114],"Spatio-Temporal":[116],"(ST)":[117],"construct":[118],"an":[120,179],"Auto-Encoder":[121],"(AE)":[122],"component.":[123],"ST-block":[125],"applies":[126],"Gated":[128],"Recurrent":[129],"Unit":[130],"Convolutional":[135],"discern":[138],"features":[139],"trips,":[144],"considering":[145],"both":[146],"temporal":[147],"spatial":[149],"dimensions.":[150],"Conversely,":[151],"AE-block":[153],"utilises":[154],"heterogeneous":[156,164],"graph":[157],"convolutional":[158],"network":[159,220],"transmute":[161],"graphs":[165],"into":[166],"latent":[167],"features.":[168],"Our":[169],"real-world":[170],"validation":[171],"process,":[172],"executed":[173],"over":[174],"two-month":[176],"period":[177],"network,":[182],"attests":[183],"DT-HGN\u2019s":[185],"robust":[186],"ability":[187],"accurate":[189],"prediction,":[192],"outperforming":[193],"contemporaneous":[194],"state-of-the-art":[195],"models.":[196],"study":[198],"addresses":[199],"crucial":[201],"need":[202],"for":[203,214,237],"comprehensive":[205,240],"network-level":[206],"provides":[210],"new":[212],"perspective":[213],"optimising":[215],"entire":[217],"public":[218,246],"transport":[219,247],"depicting":[223],"station-to-station":[224],"demand.":[225],"approach":[227],"extends":[228],"beyond":[229],"limitations":[231],"traditional":[233],"lines,":[235],"allowing":[236],"more":[239],"analysis":[241],"improvement":[243],"systems.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
