{"id":"https://openalex.org/W2807553909","doi":"https://doi.org/10.1109/tits.2018.2840122","title":"Analysis and Prediction of Regional Mobility Patterns of Bus Travellers Using Smart Card Data and Points of Interest Data","display_name":"Analysis and Prediction of Regional Mobility Patterns of Bus Travellers Using Smart Card Data and Points of Interest Data","publication_year":2018,"publication_date":"2018-06-07","ids":{"openalex":"https://openalex.org/W2807553909","doi":"https://doi.org/10.1109/tits.2018.2840122","mag":"2807553909"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2018.2840122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2018.2840122","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/A5023693291","display_name":"Geqi Qi","orcid":"https://orcid.org/0000-0002-0767-1865"},"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":"Geqi Qi","raw_affiliation_strings":["MOE Key Laboratory of Urban Transportation Complex System Theory and Technology, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of Urban Transportation Complex System Theory and Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072443313","display_name":"Ailing Huang","orcid":"https://orcid.org/0000-0002-9948-6463"},"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":"Ailing Huang","raw_affiliation_strings":["MOE Key Laboratory of Urban Transportation Complex System Theory and Technology, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of Urban Transportation Complex System Theory and Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100771841","display_name":"Wei Guan","orcid":"https://orcid.org/0000-0003-0038-4369"},"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":"Wei Guan","raw_affiliation_strings":["MOE Key Laboratory of Urban Transportation Complex System Theory and Technology, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of Urban Transportation Complex System Theory and Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102012316","display_name":"Lingling Fan","orcid":"https://orcid.org/0000-0002-2127-1884"},"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":"Lingling Fan","raw_affiliation_strings":["MOE Key Laboratory of Urban Transportation Complex System Theory and Technology, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of Urban Transportation Complex System Theory and Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023693291"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":11.3066,"has_fulltext":false,"cited_by_count":66,"citation_normalized_percentile":{"value":0.98067671,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"20","issue":"4","first_page":"1197","last_page":"1214"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.984000027179718,"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":0.9828000068664551,"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/beijing","display_name":"Beijing","score":0.8529046773910522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6666784286499023},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6327496767044067},{"id":"https://openalex.org/keywords/smart-card","display_name":"Smart card","score":0.5917375087738037},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5097987055778503},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.48118191957473755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46165546774864197},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.44017431139945984},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4169248640537262},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3544136881828308},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.23431268334388733},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.21313542127609253},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1488150656223297},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09353786706924438}],"concepts":[{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.8529046773910522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6666784286499023},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6327496767044067},{"id":"https://openalex.org/C110406131","wikidata":"https://www.wikidata.org/wiki/Q41349","display_name":"Smart card","level":2,"score":0.5917375087738037},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5097987055778503},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.48118191957473755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46165546774864197},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.44017431139945984},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4169248640537262},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3544136881828308},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.23431268334388733},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.21313542127609253},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1488150656223297},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09353786706924438},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2018.2840122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2018.2840122","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":[{"score":0.8299999833106995,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3506335944","display_name":null,"funder_award_id":"91746201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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/G7494104097","display_name":null,"funder_award_id":"71501013","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/F4320327612","display_name":"Dalian Medical University","ror":"https://ror.org/04c8eg608"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W238433468","https://openalex.org/W969788129","https://openalex.org/W1246381107","https://openalex.org/W1559632079","https://openalex.org/W1567455866","https://openalex.org/W1678719664","https://openalex.org/W1884496932","https://openalex.org/W1902027874","https://openalex.org/W1948149368","https://openalex.org/W1963757997","https://openalex.org/W1963826206","https://openalex.org/W1968154520","https://openalex.org/W1971103283","https://openalex.org/W1980287119","https://openalex.org/W1984272950","https://openalex.org/W1988489815","https://openalex.org/W1990368529","https://openalex.org/W1994615541","https://openalex.org/W2000215628","https://openalex.org/W2002016471","https://openalex.org/W2004131532","https://openalex.org/W2007043321","https://openalex.org/W2007582728","https://openalex.org/W2011815965","https://openalex.org/W2013912476","https://openalex.org/W2018282388","https://openalex.org/W2019720014","https://openalex.org/W2023451394","https://openalex.org/W2024165284","https://openalex.org/W2041371899","https://openalex.org/W2043980986","https://openalex.org/W2044985623","https://openalex.org/W2046752641","https://openalex.org/W2047822617","https://openalex.org/W2051854724","https://openalex.org/W2053677366","https://openalex.org/W2054505936","https://openalex.org/W2058063871","https://openalex.org/W2060207181","https://openalex.org/W2062785849","https://openalex.org/W2064489681","https://openalex.org/W2065846791","https://openalex.org/W2073752908","https://openalex.org/W2073849744","https://openalex.org/W2113076747","https://openalex.org/W2117852776","https://openalex.org/W2125189556","https://openalex.org/W2134251598","https://openalex.org/W2142338861","https://openalex.org/W2142793684","https://openalex.org/W2144475703","https://openalex.org/W2145143778","https://openalex.org/W2145438115","https://openalex.org/W2146849452","https://openalex.org/W2162707016","https://openalex.org/W2243069332","https://openalex.org/W2275273004","https://openalex.org/W2302781442","https://openalex.org/W2320602699","https://openalex.org/W2344489012","https://openalex.org/W2473655448","https://openalex.org/W2504266609","https://openalex.org/W2513361716","https://openalex.org/W2523246573","https://openalex.org/W2556421247","https://openalex.org/W2558792743","https://openalex.org/W2560603808","https://openalex.org/W2570606932","https://openalex.org/W2596334003","https://openalex.org/W2735226290","https://openalex.org/W2750215953","https://openalex.org/W2753027776","https://openalex.org/W2919115771","https://openalex.org/W4300402905","https://openalex.org/W6626020500","https://openalex.org/W6637213975","https://openalex.org/W6682149278"],"related_works":["https://openalex.org/W2015747722","https://openalex.org/W2362050182","https://openalex.org/W2382418233","https://openalex.org/W2369897927","https://openalex.org/W3031731056","https://openalex.org/W4293167957","https://openalex.org/W2361035307","https://openalex.org/W2380455807","https://openalex.org/W2993975634","https://openalex.org/W2367835030"],"abstract_inverted_index":{"Mobility":[0],"patterns":[1,30,108,150,192],"at":[2,193],"region":[3,81,194],"level":[4],"can":[5,174,181],"provide":[6,184],"more":[7],"macroscopic":[8],"and":[9,25,46,65,71,85,90,127,164,201,205],"intuitive":[10],"knowledge":[11],"on":[12,145,152,188],"how":[13],"people":[14],"gather":[15],"in":[16,73,80,93,112],"or":[17],"depart":[18],"from":[19,117],"the":[20,23,57,78,100,103,118,131,138,147,153,161,167,170,189,199],"region.":[21],"However,":[22],"analysis":[24],"prediction":[26],"of":[27,39,48,102,109,130,160,169],"regional":[28,106,148,154,162,171],"mobility":[29,107,149,191],"have":[31],"yet":[32],"to":[33],"be":[34,176],"effectively":[35],"addressed.":[36],"In":[37],"light":[38],"this,":[40],"using":[41],"smart":[42],"card":[43],"data":[44,92],"(SCD)":[45],"points":[47],"interest":[49],"(POI)":[50],"data,":[51],"a":[52,142,185],"multi-step":[53],"methodology":[54,140],"which":[55],"integrates":[56],"inner-restricted":[58],"fuzzy":[59],"C-means":[60],"clustering,":[61],"nonnegative":[62],"tensor":[63],"factorization":[64],"artificial":[66],"neural":[67],"network":[68],"are":[69,96,115],"proposed":[70,139],"implemented":[72],"this":[74],"paper.":[75],"It":[76],"overcomes":[77],"difficulties":[79],"division,":[82],"pattern":[83,173],"extraction,":[84],"prediction.":[86],"The":[87,105,133],"bus":[88,110],"SCD":[89],"POI":[91],"Beijing":[94,113],"city":[95,114],"utilized":[97],"for":[98],"proving":[99],"usefulness":[101],"methodology.":[104],"travellers":[111],"extracted":[116],"third-order":[119],"tensors":[120],"involving":[121],"1110":[122],"regions,":[123],"34":[124],"time":[125],"slots,":[126],"7":[128],"days":[129],"week.":[132],"analyzed":[134],"results":[135],"show":[136],"that":[137],"has":[141],"good":[143],"performance":[144],"predicting":[146],"based":[151],"properties.":[155],"Furthermore,":[156],"by":[157],"considering":[158],"both":[159],"boarding":[163],"alighting":[165],"patterns,":[166],"predictions":[168],"aggregation":[172],"also":[175,197],"achieved.":[177],"These":[178],"research":[179],"achievements":[180],"not":[182],"only":[183],"deep":[186],"insight":[187],"human":[190],"level,":[195],"but":[196],"support":[198],"evidence-based":[200],"forward-looking":[202],"urban":[203],"planning":[204],"intelligent":[206],"transportation":[207],"management.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":9}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}