{"id":"https://openalex.org/W4392005299","doi":"https://doi.org/10.1016/j.ijtst.2024.02.003","title":"An empirical study on the stochastic long-term travel demands of a large-scale metro network","display_name":"An empirical study on the stochastic long-term travel demands of a large-scale metro network","publication_year":2024,"publication_date":"2024-02-21","ids":{"openalex":"https://openalex.org/W4392005299","doi":"https://doi.org/10.1016/j.ijtst.2024.02.003"},"language":"en","primary_location":{"id":"doi:10.1016/j.ijtst.2024.02.003","doi":"https://doi.org/10.1016/j.ijtst.2024.02.003","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ijtst.2024.02.003","pdf_url":null,"source":{"id":"https://openalex.org/S2764959558","display_name":"International Journal of Transportation Science and Technology","issn_l":"2046-0430","issn":["2046-0430","2046-0449"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","norway-1","oarl","poland-20","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Transportation Science and Technology","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.ijtst.2024.02.003","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100721546","display_name":"Sen Huang","orcid":"https://orcid.org/0000-0001-9778-9658","observed_orcids":["https://orcid.org/0000-0001-9778-9658"]},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sen Huang","raw_affiliation_strings":["The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, 4800 Caoan Rd, Shanghai, 201804, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, 4800 Caoan Rd, Shanghai, 201804, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043401373","display_name":"Xiangdong Xu","orcid":"https://orcid.org/0000-0002-7532-243X","observed_orcids":["https://orcid.org/0000-0002-7532-243X"]},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangdong Xu","raw_affiliation_strings":["The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, 4800 Caoan Rd, Shanghai, 201804, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, 4800 Caoan Rd, Shanghai, 201804, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059450140","display_name":"Yichao Pu","orcid":"https://orcid.org/0000-0002-5019-1365","observed_orcids":["https://orcid.org/0000-0002-5019-1365"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yichao Pu","raw_affiliation_strings":["Shanghai Shentong Metro Group, 909 Guilin Rd, Shanghai, 201103, China"],"raw_orcid":"https://orcid.org/0000-0002-5019-1365","affiliations":[{"raw_affiliation_string":"Shanghai Shentong Metro Group, 909 Guilin Rd, Shanghai, 201103, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5043401373"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":{"value":0,"currency":"USD","value_usd":0},"apc_paid":null,"fwci":0.9369,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72332274,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"16","issue":null,"first_page":"244","last_page":"259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9506999850273132,"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":0.9506999850273132,"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/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.03880000114440918,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.0017000000225380063,"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/origin-destination-demand","display_name":"origin-destination demand","score":0.8299999833106995},{"id":"https://openalex.org/keywords/metro-networks","display_name":"metro networks","score":0.9480000138282776},{"id":"https://openalex.org/keywords/automatic-fare-collection-data","display_name":"automatic fare collection data","score":0.8059999942779541},{"id":"https://openalex.org/keywords/shanghai-metro","display_name":"Shanghai Metro","score":0.6340000033378601},{"id":"https://openalex.org/keywords/outlier-removal","display_name":"outlier removal","score":0.6420000195503235},{"id":"https://openalex.org/keywords/coefficient-of-variation","display_name":"coefficient of variation","score":0.6790000200271606},{"id":"https://openalex.org/keywords/skewness","display_name":"skewness","score":0.6690000295639038},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.7139999866485596},{"id":"https://openalex.org/keywords/lognormal-distribution","display_name":"lognormal distribution","score":0.7760000228881836},{"id":"https://openalex.org/keywords/gamma-distribution","display_name":"gamma distribution","score":0.6460000276565552}],"concepts":[{"id":"https://openalex.org/C122342681","wikidata":"https://www.wikidata.org/wiki/Q330828","display_name":"Skewness","level":2,"score":0.6895273923873901},{"id":"https://openalex.org/C151620405","wikidata":"https://www.wikidata.org/wiki/Q826116","display_name":"Log-normal distribution","level":2,"score":0.5922535061836243},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5919740796089172},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5035960078239441},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.503297746181488},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4930233657360077},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.43071478605270386},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.418714314699173},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4140765368938446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3792654275894165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3595292568206787},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.ijtst.2024.02.003","doi":"https://doi.org/10.1016/j.ijtst.2024.02.003","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ijtst.2024.02.003","pdf_url":null,"source":{"id":"https://openalex.org/S2764959558","display_name":"International Journal of Transportation Science and Technology","issn_l":"2046-0430","issn":["2046-0430","2046-0449"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","norway-1","oarl","poland-20","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Transportation Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2f79dbfa1e844db28151bd44c772df63","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/2f79dbfa1e844db28151bd44c772df63","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Transportation Science and Technology, Vol 16, Iss , Pp 244-259 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.ijtst.2024.02.003","doi":"https://doi.org/10.1016/j.ijtst.2024.02.003","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ijtst.2024.02.003","pdf_url":null,"source":{"id":"https://openalex.org/S2764959558","display_name":"International Journal of Transportation Science and Technology","issn_l":"2046-0430","issn":["2046-0430","2046-0449"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","norway-1","oarl","poland-20","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Transportation Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7250000238418579},{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4943999946117401}],"study_designs":[],"awards":[{"id":"https://openalex.org/G1821643505","display_name":null,"funder_award_id":"72021002","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/F4320328119","display_name":"National University's Basic Research Foundation of China","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":58,"referenced_works":["https://openalex.org/W1964335281","https://openalex.org/W1982745724","https://openalex.org/W1986735445","https://openalex.org/W1986925696","https://openalex.org/W1991032670","https://openalex.org/W1993227189","https://openalex.org/W1999167288","https://openalex.org/W2003006769","https://openalex.org/W2010421823","https://openalex.org/W2020281294","https://openalex.org/W2028594966","https://openalex.org/W2029437829","https://openalex.org/W2033948224","https://openalex.org/W2043407748","https://openalex.org/W2049741160","https://openalex.org/W2051224630","https://openalex.org/W2055461760","https://openalex.org/W2061738751","https://openalex.org/W2068958864","https://openalex.org/W2073815027","https://openalex.org/W2075004209","https://openalex.org/W2087268133","https://openalex.org/W2128178859","https://openalex.org/W2144182447","https://openalex.org/W2167313389","https://openalex.org/W2238939232","https://openalex.org/W2414364427","https://openalex.org/W2473226025","https://openalex.org/W2531917367","https://openalex.org/W2541455767","https://openalex.org/W2561903970","https://openalex.org/W2581761873","https://openalex.org/W2586155987","https://openalex.org/W2608412979","https://openalex.org/W2766236388","https://openalex.org/W2796698662","https://openalex.org/W2803655597","https://openalex.org/W2887155490","https://openalex.org/W2899876161","https://openalex.org/W2909550475","https://openalex.org/W2953685634","https://openalex.org/W2964901925","https://openalex.org/W2970989044","https://openalex.org/W2972938160","https://openalex.org/W3008597459","https://openalex.org/W3084058509","https://openalex.org/W3129983003","https://openalex.org/W3164989836","https://openalex.org/W3173841034","https://openalex.org/W3185499778","https://openalex.org/W3211569424","https://openalex.org/W4220697545","https://openalex.org/W4220932752","https://openalex.org/W4281761889","https://openalex.org/W4283701218","https://openalex.org/W4308306331","https://openalex.org/W4323670387","https://openalex.org/W6730421753"],"related_works":["https://openalex.org/W3089836931","https://openalex.org/W4242402146","https://openalex.org/W4394836573","https://openalex.org/W7126237188","https://openalex.org/W2529334026","https://openalex.org/W4224246322","https://openalex.org/W2969687201","https://openalex.org/W2203382440","https://openalex.org/W1926536152","https://openalex.org/W2905335695"],"abstract_inverted_index":{"The":[0,139,267],"widely-existed":[1],"uncertainty":[2],"of":[3,18,34,50,76,80,125,146,148,162,173,186,201,240,253,263],"origin\u2013destination":[4],"(OD)":[5],"demand":[6,58,89,174,243],"in":[7,22,106,153,159,244,285],"transportation":[8],"networks":[9,23,36,52],"has":[10],"attracted":[11],"extensive":[12],"attention.":[13],"Most":[14],"characterizations":[15],"or":[16],"modeling":[17],"stochastic":[19,282],"OD":[20,56,77,88,117,127,151,165,187,202,210,241,264,283],"demands":[21,79,152,188,203,284],"assume":[24],"a":[25,94,214,219,228,250],"homogenous":[26],"probability":[27,183],"distribution,":[28],"but":[29],"it":[30],"lacks":[31],"empirical":[32],"studies":[33],"large-scale":[35],"to":[37,70,101,114,225,234,258],"justify":[38],"this":[39,60,247],"assumption.":[40],"Given":[41],"that":[42,142],"the":[43,63,73,85,107,116,120,126,132,144,154,160,171,178,182,197,235,260],"long-term":[44,255],"continuous":[45,256],"automatic":[46],"fare":[47],"collection":[48],"data":[49,90,238,257],"metro":[51,81,245,286],"can":[53,269],"provide":[54,270],"complete":[55],"passenger":[57,78,128,242,265],"information,":[59],"study":[61,119],"takes":[62],"Shanghai":[64],"Metro":[65],"network":[66,155],"as":[67,177],"an":[68],"example":[69],"empirically":[71],"examine":[72],"stochasticity":[74,262],"characteristics":[75,124,192],"network.":[82],"Based":[83],"on":[84,190,281],"morning":[86,149],"peak":[87,150],"for":[91,209,278],"250":[92],"weekdays,":[93],"local":[95],"outlier":[96],"factor":[97],"method":[98,111],"is":[99,112,204],"used":[100,113],"identify":[102],"and":[103,122,130,170,195,207,217,222,227,273,276],"remove":[104],"outliers":[105],"data.":[108],"A":[109],"clustering":[110],"cluster":[115],"pairs,":[118],"fluctuation":[121,175],"distribution":[123,134,184,199],"demands,":[129],"select":[131],"optimal":[133,198],"type":[135,200],"through":[136],"goodness-of-fit":[137],"indices.":[138],"results":[140,268],"show":[141],"1)":[143],"coefficients":[145],"variation":[147],"are":[156,193],"mainly":[157],"distributed":[158],"range":[161],"0.2\u20130.6,":[163],"different":[164,168],"pairs":[166,211],"have":[167],"fluctuations,":[169],"degree":[172],"decreases":[176],"mean":[179,216,221],"increases;":[180],"2)":[181],"types":[185],"based":[189],"statistical":[191],"heterogeneous;":[194],"3)":[196],"Poisson,":[205],"Lognormal/Gamma,":[206],"Normal":[208],"characterized":[212],"by":[213],"small":[215,220],"right-skewness,":[218],"skewness":[223],"close":[224],"0,":[226],"large":[229],"mean,":[230],"respectively.":[231],"In":[232],"contrast":[233],"simple":[236],"average-based":[237],"processing":[239],"networks,":[246],"paper":[248],"presents":[249],"new":[251],"perspective":[252],"mining":[254],"understand":[259],"inherent":[261],"demands.":[266],"more":[271],"realistic":[272],"practical":[274],"inputs":[275],"assumptions":[277],"theoretical":[279],"research":[280],"networks.":[287]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2024-02-22T00:00:00"}
