{"id":"https://openalex.org/W4288038173","doi":"https://doi.org/10.3390/e24081026","title":"A Calculation Method of Passenger Flow Distribution in Large-Scale Subway Network Based on Passenger\u2013Train Matching Probability","display_name":"A Calculation Method of Passenger Flow Distribution in Large-Scale Subway Network Based on Passenger\u2013Train Matching Probability","publication_year":2022,"publication_date":"2022-07-26","ids":{"openalex":"https://openalex.org/W4288038173","doi":"https://doi.org/10.3390/e24081026","pmid":"https://pubmed.ncbi.nlm.nih.gov/35893006"},"language":"en","primary_location":{"id":"doi:10.3390/e24081026","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24081026","pdf_url":"https://www.mdpi.com/1099-4300/24/8/1026/pdf?version=1659436932","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/24/8/1026/pdf?version=1659436932","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046219594","display_name":"Guanghui Su","orcid":"https://orcid.org/0000-0003-3667-1618"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghui Su","raw_affiliation_strings":["School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China"],"affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036032006","display_name":"Bingfeng Si","orcid":"https://orcid.org/0000-0001-9304-9679"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bingfeng Si","raw_affiliation_strings":["School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China"],"affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079847644","display_name":"Kun Zhi","orcid":"https://orcid.org/0000-0002-0342-3098"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Zhi","raw_affiliation_strings":["School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China"],"affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100317883","display_name":"He Li","orcid":"https://orcid.org/0000-0002-7243-6474"},"institutions":[{"id":"https://openalex.org/I4210089559","display_name":"Shenzhen Metro (China)","ror":"https://ror.org/008hpge95","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210089559"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Li","raw_affiliation_strings":["Beijing Metro Network Administration Co., Ltd., Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"Beijing Metro Network Administration Co., Ltd., Beijing 100101, China","institution_ids":["https://openalex.org/I4210089559"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036032006"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":3.3065,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.91010217,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"24","issue":"8","first_page":"1026","last_page":"1026"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994000196456909,"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/T10298","display_name":"Urban Transport and Accessibility","score":0.9983000159263611,"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/matching","display_name":"Matching (statistics)","score":0.7408624887466431},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6921982169151306},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5442801117897034},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5340873599052429},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.520724356174469},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.49848318099975586},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.46519744396209717},{"id":"https://openalex.org/keywords/flow-network","display_name":"Flow network","score":0.4175020158290863},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.40171828866004944},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.35821449756622314},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3434075117111206},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20573332905769348},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1063145101070404},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10034728050231934}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7408624887466431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6921982169151306},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5442801117897034},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5340873599052429},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.520724356174469},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.49848318099975586},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.46519744396209717},{"id":"https://openalex.org/C114809511","wikidata":"https://www.wikidata.org/wiki/Q1412924","display_name":"Flow network","level":2,"score":0.4175020158290863},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.40171828866004944},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.35821449756622314},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3434075117111206},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20573332905769348},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1063145101070404},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10034728050231934},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e24081026","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24081026","pdf_url":"https://www.mdpi.com/1099-4300/24/8/1026/pdf?version=1659436932","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:35893006","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35893006","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:c6380a309de94cd3bef8ed819f88fc59","is_oa":true,"landing_page_url":"https://doaj.org/article/c6380a309de94cd3bef8ed819f88fc59","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 24, Iss 8, p 1026 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/24/8/1026/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e24081026","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 24; Issue 8; Pages: 1026","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9394422","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9394422","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e24081026","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24081026","pdf_url":"https://www.mdpi.com/1099-4300/24/8/1026/pdf?version=1659436932","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G587651574","display_name":null,"funder_award_id":"71621001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G839615606","display_name":null,"funder_award_id":"72091513","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4288038173.pdf","grobid_xml":"https://content.openalex.org/works/W4288038173.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1545252917","https://openalex.org/W1803723148","https://openalex.org/W1966031495","https://openalex.org/W2038607142","https://openalex.org/W2042089672","https://openalex.org/W2044985623","https://openalex.org/W2067942114","https://openalex.org/W2089320484","https://openalex.org/W2089926894","https://openalex.org/W2090101521","https://openalex.org/W2138494235","https://openalex.org/W2143794766","https://openalex.org/W2346024379","https://openalex.org/W2400471308","https://openalex.org/W2465297350","https://openalex.org/W2556647056","https://openalex.org/W2565971900","https://openalex.org/W2588922805","https://openalex.org/W2611856457","https://openalex.org/W2743485564","https://openalex.org/W2927454765","https://openalex.org/W3015541353","https://openalex.org/W3046272664","https://openalex.org/W3093120598","https://openalex.org/W3129044558","https://openalex.org/W3129690166","https://openalex.org/W3134441381","https://openalex.org/W3166646844","https://openalex.org/W3173227740","https://openalex.org/W3194948301","https://openalex.org/W4206057129","https://openalex.org/W4214672505"],"related_works":["https://openalex.org/W1972035260","https://openalex.org/W1987895267","https://openalex.org/W4301594054","https://openalex.org/W2350519135","https://openalex.org/W2794488505","https://openalex.org/W3125889879","https://openalex.org/W2390619334","https://openalex.org/W3124422538","https://openalex.org/W2933449636","https://openalex.org/W2030030643"],"abstract_inverted_index":{"The":[0,217],"ever-increasing":[1],"travel":[2,114],"demand":[3],"has":[4,39,225],"brought":[5],"great":[6],"challenges":[7],"to":[8,92,98,160,209],"the":[9,15,41,49,65,71,77,85,99,110,120,127,150,162,177,204,211,214,222],"organization,":[10],"operation,":[11],"and":[12,33,116,122,125,139,195,229],"management":[13],"of":[14,21,43,80,152,169,184,213],"subway":[16,27,95,235],"system.":[17],"An":[18],"accurate":[19],"estimation":[20,167],"passenger":[22,44,66,81,113,170],"flow":[23,45,67,82,171],"distribution":[24,46,68,172],"can":[25,148],"help":[26],"operators":[28],"design":[29],"corresponding":[30],"operation":[31,118],"plans":[32],"strategies":[34],"scientifically.":[35],"Although":[36],"some":[37],"literature":[38],"studied":[40],"problem":[42,79],"by":[47,131],"analyzing":[48],"passengers'":[50],"path":[51],"choice":[52],"behaviors":[53],"based":[54,175,191,199],"on":[55,64,176,192,200],"AFC":[56],"(automated":[57],"fare":[58],"collection)":[59],"data,":[60],"few":[61],"studies":[62],"focus":[63],"while":[69],"considering":[70],"passenger-train":[72,128,178],"matching":[73,129,179],"probability,":[74],"which":[75,147],"is":[76,158,173],"key":[78],"distribution.":[83],"Specifically,":[84],"existing":[86],"methods":[87],"have":[88],"not":[89],"been":[90],"applied":[91],"practical":[93],"large-scale":[94,234],"networks":[96],"due":[97],"computational":[100,163,230],"complexity.":[101],"To":[102],"fill":[103],"this":[104,107],"research":[105],"gap,":[106],"paper":[108],"analyzes":[109],"relationship":[111],"between":[112],"behavior":[115],"train":[117,137,154],"in":[119],"space":[121],"time":[123],"dimension":[124],"formulates":[126],"probability":[130],"using":[132],"multi-source":[133],"data":[134,194,202],"including":[135,186],"AFC,":[136],"timetables,":[138],"network":[140],"topology.":[141],"Then,":[142],"a":[143,196,226,233],"reverse":[144],"derivation":[145],"method,":[146],"reduce":[149],"scale":[151],"possible":[153],"combinations":[155],"for":[156,232],"passengers,":[157],"proposed":[159,215,223],"improve":[161],"efficiency.":[164],"Simultaneously,":[165],"an":[166,187],"method":[168,224],"presented":[174],"probability.":[180],"Finally,":[181],"two":[182],"sets":[183],"experiments,":[185],"accuracy":[188,228],"verification":[189],"experiment":[190,198],"synthetic":[193],"comparison":[197],"real":[201],"from":[203],"Beijing":[205],"subway,":[206],"are":[207],"conducted":[208],"verify":[210],"effectiveness":[212],"method.":[216],"calculation":[218],"results":[219],"show":[220],"that":[221],"good":[227],"efficiency":[231],"network.":[236]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}