{"id":"https://openalex.org/W3135466524","doi":"https://doi.org/10.1155/2021/6160321","title":"Optimizing Centralized Dispatching of Flexible Feeder Transit considering Transfer Coordination with Regular Public Transit","display_name":"Optimizing Centralized Dispatching of Flexible Feeder Transit considering Transfer Coordination with Regular Public Transit","publication_year":2021,"publication_date":"2021-03-04","ids":{"openalex":"https://openalex.org/W3135466524","doi":"https://doi.org/10.1155/2021/6160321","mag":"3135466524"},"language":"en","primary_location":{"id":"doi:10.1155/2021/6160321","doi":"https://doi.org/10.1155/2021/6160321","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6160321","pdf_url":"https://downloads.hindawi.com/journals/mpe/2021/6160321.pdf","source":{"id":"https://openalex.org/S178238111","display_name":"Mathematical Problems in Engineering","issn_l":"1024-123X","issn":["1024-123X","1026-7077","1563-5147"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mathematical Problems in Engineering","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/mpe/2021/6160321.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013431059","display_name":"Yu-Qiong Wang","orcid":"https://orcid.org/0000-0002-9988-3872","observed_orcids":["https://orcid.org/0000-0002-9988-3872"]},"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":"Yu-Qiong Wang","raw_affiliation_strings":["Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China","School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China"],"raw_orcid":"https://orcid.org/0000-0002-9988-3872","affiliations":[{"raw_affiliation_string":"Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]},{"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/A5102996297","display_name":"Shunping Jia","orcid":"https://orcid.org/0000-0002-0583-1490","observed_orcids":["https://orcid.org/0000-0002-0583-1490"]},"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":"Shun-Ping Jia","raw_affiliation_strings":["Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China","School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China"],"raw_orcid":"https://orcid.org/0000-0002-0583-1490","affiliations":[{"raw_affiliation_string":"Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]},{"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/A5066753562","display_name":"Runbin Wei","orcid":"https://orcid.org/0000-0001-9754-3527","observed_orcids":["https://orcid.org/0000-0001-9754-3527"]},"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":"Run-Bin Wei","raw_affiliation_strings":["Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China","School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]},{"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/A5101844476","display_name":"Min Wang","orcid":"https://orcid.org/0000-0003-4148-5393","observed_orcids":["https://orcid.org/0000-0003-4148-5393"]},"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":"Min Wang","raw_affiliation_strings":["Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China","School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102996297"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":{"value":2550,"currency":"USD","value_usd":2550},"apc_paid":{"value":2550,"currency":"USD","value_usd":2550},"fwci":0.5532,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68859001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2021","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9160000085830688,"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":0.9160000085830688,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.0723000019788742,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.007000000216066837,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"multi-objective optimization","score":0.8130000233650208},{"id":"https://openalex.org/keywords/vehicle-routing-problem","display_name":"vehicle routing","score":0.7039999961853027},{"id":"https://openalex.org/keywords/bus-timetables","display_name":"bus schedules","score":0.6850000023841858},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"genetic algorithm","score":0.7419999837875366}],"concepts":[{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.6937199831008911},{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.652237057685852},{"id":"https://openalex.org/C2778022998","wikidata":"https://www.wikidata.org/wiki/Q651136","display_name":"Transit (satellite)","level":3,"score":0.6209437847137451},{"id":"https://openalex.org/C2777347956","wikidata":"https://www.wikidata.org/wiki/Q1362005","display_name":"Operating cost","level":2,"score":0.6014214158058167},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5587037205696106},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.5528075098991394},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4647983908653259},{"id":"https://openalex.org/C2775939957","wikidata":"https://www.wikidata.org/wiki/Q25645309","display_name":"Value of time","level":3,"score":0.4600538909435272},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.45514777302742004},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.44208720326423645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4192821979522705},{"id":"https://openalex.org/C2985733770","wikidata":"https://www.wikidata.org/wiki/Q1233007","display_name":"Travel time","level":2,"score":0.36197134852409363},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3453480303287506},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.33792245388031006},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.31478795409202576},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.31229260563850403},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10936951637268066},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2021/6160321","doi":"https://doi.org/10.1155/2021/6160321","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6160321","pdf_url":"https://downloads.hindawi.com/journals/mpe/2021/6160321.pdf","source":{"id":"https://openalex.org/S178238111","display_name":"Mathematical Problems in Engineering","issn_l":"1024-123X","issn":["1024-123X","1026-7077","1563-5147"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mathematical Problems in Engineering","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:jnlmpe:6160321","doi":null,"is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/MPE/2021/6160321.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:c537636aa4cb4b5b86e97c33d90c46cd","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/c537636aa4cb4b5b86e97c33d90c46cd","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mathematical Problems in Engineering, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/6160321","doi":"https://doi.org/10.1155/2021/6160321","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6160321","pdf_url":"https://downloads.hindawi.com/journals/mpe/2021/6160321.pdf","source":{"id":"https://openalex.org/S178238111","display_name":"Mathematical Problems in Engineering","issn_l":"1024-123X","issn":["1024-123X","1026-7077","1563-5147"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mathematical Problems in Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.761900007724762,"id":"https://metadata.un.org/sdg/11"},{"display_name":"Industry, innovation and infrastructure","score":0.6773999929428101,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G1797022631","display_name":null,"funder_award_id":"2019YJS085","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3135466524.pdf","grobid_xml":"https://content.openalex.org/works/W3135466524.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W350101066","https://openalex.org/W592618149","https://openalex.org/W1965089786","https://openalex.org/W1981736216","https://openalex.org/W1985290529","https://openalex.org/W2005100015","https://openalex.org/W2008620326","https://openalex.org/W2030297342","https://openalex.org/W2031236641","https://openalex.org/W2051693194","https://openalex.org/W2062114635","https://openalex.org/W2062788425","https://openalex.org/W2084458047","https://openalex.org/W2402085209","https://openalex.org/W2481715007","https://openalex.org/W2560329358","https://openalex.org/W2565919573","https://openalex.org/W2571494279","https://openalex.org/W2728395416","https://openalex.org/W2765562632","https://openalex.org/W2790810716","https://openalex.org/W2883785779","https://openalex.org/W2938008984","https://openalex.org/W2977678031","https://openalex.org/W3012042539","https://openalex.org/W3031265074","https://openalex.org/W3032286326","https://openalex.org/W3034669160","https://openalex.org/W3081872153"],"related_works":["https://openalex.org/W2999057906","https://openalex.org/W3161533978","https://openalex.org/W3214673955","https://openalex.org/W2782220056","https://openalex.org/W2196611836","https://openalex.org/W2386016670","https://openalex.org/W2810094435","https://openalex.org/W2790650444","https://openalex.org/W4411143165","https://openalex.org/W1966507470"],"abstract_inverted_index":{"Optimizing":[0],"centralized":[1],"dispatching":[2,145],"of":[3,63,72,97,136,149,194,205],"flexible":[4,137],"feeder":[5,138],"transit":[6],"to":[7,80,106,250],"provide":[8],"transport":[9],"and":[10,15,41,68,92,111,128,171,198,223],"transfer":[11,22,206],"services":[12],"is":[13,48,239],"important":[14],"theoretically":[16],"challenging":[17],"for":[18,44,53,218,235],"real-world":[19],"applications.":[20],"Considering":[21],"coordination":[23],"with":[24,142],"regular":[25],"public":[26],"transit,":[27],"a":[28,42,45,73,98,117,168,178],"multiobjective":[29],"optimization":[30,216],"model":[31,78,127,157],"that":[32,124],"can":[33,130],"output":[34],"an":[35],"operation":[36,135,212,252],"plan":[37],"containing":[38],"vehicle":[39],"routes":[40],"timetable":[43],"bus":[46],"fleet":[47],"proposed.":[49],"By":[50],"establishing":[51],"constraints":[52],"parameters":[54],"such":[55],"as":[56],"maximum":[57,69,199],"acceptable":[58,200],"advance":[59,201],"or":[60,202],"delay":[61,203],"time":[62,71,90,175,204],"transfer,":[64],"rated":[65],"passenger":[66,174,185],"capacity,":[67],"travel":[70],"single":[74,99],"trip,":[75],"the":[76,82,87,94,108,125,134,143,147,150,155,163,172,181,195,215,219,224,229,233,236,241],"proposed":[77,126,156],"attempts":[79],"maximize":[81],"successful":[83,164,220],"response":[84,165,221],"ratio,":[85],"minimize":[86,93],"passengers\u2019":[88],"average":[89,173],"costs,":[91],"operating":[95,182,225],"costs":[96,183,226],"passenger.":[100],"A":[101],"genetic":[102],"algorithm":[103,129],"was":[104,158],"designed":[105],"solve":[107],"optimal":[109,151,211],"solution,":[110],"computational":[112],"experiments":[113],"were":[114,186],"conducted":[115],"in":[116,120,133,154,209,228,240],"residential":[118],"area":[119],"Beijing.":[121],"Results":[122],"reveal":[123],"be":[131],"applied":[132],"transit.":[139],"Moreover,":[140],"compared":[141],"distributed":[144],"method,":[146],"value":[148],"objective":[152],"function":[153,197],"improved":[159],"by":[160,188],"26%.":[161],"Although":[162],"ratio":[166,222],"showed":[167,177],"29.3%":[169],"increase":[170],"cost":[176,238],"small":[179],"drop,":[180],"per":[184],"reduced":[187],"30.7%.":[189],"The":[190],"different":[191,210],"weight":[192],"coefficients":[193],"subobjective":[196],"could":[207],"result":[208],"plans.":[213,253],"Essentially,":[214],"procedures":[217],"are":[227],"same":[230],"direction,":[231],"whereas":[232],"one":[234],"passenger\u2019":[237],"opposite":[242],"direction.":[243],"However,":[244],"operators":[245],"should":[246],"select":[247],"appropriate":[248],"values":[249],"optimize":[251]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-09-21T07:43:02.447757","created_date":"2021-03-15T00:00:00"}