{"id":"https://openalex.org/W2989589963","doi":"https://doi.org/10.1109/itsc.2019.8916900","title":"Continuum Approximation Model for Optimizing Phased Development of Scalable Transit Corridors","display_name":"Continuum Approximation Model for Optimizing Phased Development of Scalable Transit Corridors","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2989589963","doi":"https://doi.org/10.1109/itsc.2019.8916900","mag":"2989589963"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2019.8916900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8916900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5010322408","display_name":"Liang Xia","orcid":"https://orcid.org/0000-0002-3134-4434"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Xia","raw_affiliation_strings":["School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000363531","display_name":"Xinguo Jiang","orcid":"https://orcid.org/0000-0002-4043-5784"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinguo Jiang","raw_affiliation_strings":["School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073536756","display_name":"Wenbo Fan","orcid":"https://orcid.org/0000-0002-4525-9812"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Fan","raw_affiliation_strings":["School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"852","last_page":"857"},"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/T10298","display_name":"Urban Transport and Accessibility","score":0.9983999729156494,"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":0.996999979019165,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6553756594657898},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5931469798088074},{"id":"https://openalex.org/keywords/transit","display_name":"Transit (satellite)","score":0.45189619064331055},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.26676076650619507},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19119936227798462},{"id":"https://openalex.org/keywords/public-transport","display_name":"Public transport","score":0.12211138010025024}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6553756594657898},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5931469798088074},{"id":"https://openalex.org/C2778022998","wikidata":"https://www.wikidata.org/wiki/Q651136","display_name":"Transit (satellite)","level":3,"score":0.45189619064331055},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.26676076650619507},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19119936227798462},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.12211138010025024},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2019.8916900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8916900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7900000214576721,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W322673703","https://openalex.org/W1600873126","https://openalex.org/W1666371083","https://openalex.org/W1979523819","https://openalex.org/W1996192093","https://openalex.org/W2098506221","https://openalex.org/W2104130104","https://openalex.org/W2133869178","https://openalex.org/W2151952269","https://openalex.org/W2346994786","https://openalex.org/W2494826774","https://openalex.org/W2790471151","https://openalex.org/W2796785550","https://openalex.org/W2798766386","https://openalex.org/W4396738453","https://openalex.org/W6636039090"],"related_works":["https://openalex.org/W2067938758","https://openalex.org/W1527726406","https://openalex.org/W1597381735","https://openalex.org/W2461970972","https://openalex.org/W2364921833","https://openalex.org/W1976363619","https://openalex.org/W2388030554","https://openalex.org/W2302028273","https://openalex.org/W1525643724","https://openalex.org/W2553742524"],"abstract_inverted_index":{"To":[0],"best":[1],"serve":[2],"the":[3,34,38,50,65,71,81,93,98,101,110,116,125,147,158,164,184,194],"growing":[4],"demand":[5,46],"in":[6,21,115,146],"a":[7,10,22],"long":[8],"term,":[9],"continuum":[11],"approximation":[12],"(CA)":[13],"model":[14,156,161,179],"is":[15,47,68,89,105,144,167],"formulated":[16,66],"for":[17,172],"multi-phase":[18],"transit":[19,27,45,73,165,185],"design":[20],"linear":[23],"monocentric":[24],"corridor.":[25],"The":[26,44,62,128,174],"line":[28,166],"can":[29],"be":[30],"accordingly":[31],"extended":[32],"as":[33],"population":[35],"grows":[36],"during":[37],"planning":[39,83],"horizon":[40],"(e.g.,":[41],"20":[42],"years).":[43],"derived":[48],"from":[49],"commute":[51],"need":[52],"of":[53,64,100,124,131],"households,":[54],"whose":[55],"housing":[56],"location":[57],"choices":[58],"are":[59],"accounted":[60],"for.":[61],"objective":[63],"problem":[67],"to":[69,91,189],"minimize":[70],"total":[72],"agency":[74],"cost":[75,79,133,187,197],"and":[76,169],"patrons\u2019":[77,195],"travel":[78,196],"over":[80],"entire":[82],"horizon.":[84],"A":[85],"two-stage":[86],"solution":[87],"approach":[88],"developed":[90],"solve":[92],"problem.":[94],"In":[95],"numerical":[96],"experiments,":[97],"accuracy":[99],"proposed":[102],"CA":[103,126],"models":[104],"first":[106],"validated":[107],"by":[108],"comparing":[109],"results":[111,175],"against":[112,157],"that":[113,177],"recomputed":[114],"corridor":[117],"with":[118,149],"specific":[119],"station":[120],"locations":[121],"(i.e.,":[122],"discretization":[123],"solution).":[127],"estimation":[129],"errors":[130],"system":[132],"generally":[134],"remain":[135],"less":[136],"than":[137],"2%":[138],"under":[139],"various":[140],"scenarios":[141],"(smaller":[142],"error":[143],"observed":[145],"corridors":[148],"higher":[150],"population).":[151],"Secondly,":[152],"we":[153],"compare":[154],"our":[155,178],"conventional":[159],"static":[160],"(in":[162],"which":[163],"optimized":[168],"built":[170],"once":[171],"all).":[173],"show":[176],"may":[180],"not":[181],"only":[182],"reduce":[183],"agency\u2019":[186],"(up":[188],"6%),":[190],"but":[191],"also":[192],"save":[193],"(by":[198],"2%).":[199]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
