{"id":"https://openalex.org/W3161368216","doi":"https://doi.org/10.3233/jifs-189992","title":"The impact of subway operation on urban traffic: A GRA-BNs based study","display_name":"The impact of subway operation on urban traffic: A GRA-BNs based study","publication_year":2021,"publication_date":"2021-05-14","ids":{"openalex":"https://openalex.org/W3161368216","doi":"https://doi.org/10.3233/jifs-189992","mag":"3161368216"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-189992","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-189992","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy 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/A5059859011","display_name":"Lixin Yan","orcid":"https://orcid.org/0000-0002-6643-1503"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixin Yan","raw_affiliation_strings":["School of Transportation & Logistics, East China Jiaotong University, Nanchang, Jiangxi, China","School of Transportation & Logistics, East China Jiaotong University, Nanchang, Jiangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation & Logistics, East China Jiaotong University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I13985625"]},{"raw_affiliation_string":"School of Transportation & Logistics, East China Jiaotong University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004283144","display_name":"Tao Zeng","orcid":"https://orcid.org/0000-0002-7726-312X"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zeng","raw_affiliation_strings":["School of Transportation & Logistics, East China Jiaotong University, Nanchang, Jiangxi, China","School of Transportation & Logistics, East China Jiaotong University, Nanchang, Jiangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation & Logistics, East China Jiaotong University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I13985625"]},{"raw_affiliation_string":"School of Transportation & Logistics, East China Jiaotong University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032489133","display_name":"Yubing Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yubing Xiong","raw_affiliation_strings":["School of Transportation & Logistics, East China Jiaotong University, Nanchang, Jiangxi, China","School of Transportation & Logistics, East China Jiaotong University, Nanchang, Jiangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation & Logistics, East China Jiaotong University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I13985625"]},{"raw_affiliation_string":"School of Transportation & Logistics, East China Jiaotong University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041319067","display_name":"Zhenyun Li","orcid":null},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyun Li","raw_affiliation_strings":["School of Transportation & Logistics, East China Jiaotong University, Nanchang, Jiangxi, China","School of Transportation & Logistics, East China Jiaotong University, Nanchang, Jiangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation & Logistics, East China Jiaotong University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I13985625"]},{"raw_affiliation_string":"School of Transportation & Logistics, East China Jiaotong University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101439209","display_name":"Qingmei Liu","orcid":"https://orcid.org/0000-0002-0352-8754"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingmei Liu","raw_affiliation_strings":["School of Transportation & Logistics, East China Jiaotong University, Nanchang, Jiangxi, China","School of Transportation & Logistics, East China Jiaotong University, Nanchang, Jiangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation & Logistics, East China Jiaotong University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I13985625"]},{"raw_affiliation_string":"School of Transportation & Logistics, East China Jiaotong University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I13985625"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032489133"],"corresponding_institution_ids":["https://openalex.org/I13985625"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05189984,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"41","issue":"4","first_page":"5065","last_page":"5080"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9896000027656555,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9896000027656555,"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/T13527","display_name":"Transportation Systems and Logistics","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10698","display_name":"Transportation Planning and Optimization","score":0.9750999808311462,"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/computer-science","display_name":"Computer science","score":0.6017190217971802},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5937813520431519},{"id":"https://openalex.org/keywords/grey-relational-analysis","display_name":"Grey relational analysis","score":0.5754410028457642},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4695606529712677},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.46086275577545166},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4302715063095093},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4273640513420105},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4185548722743988},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4131758511066437},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.34323614835739136},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2997890114784241},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2962307929992676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16997238993644714},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14219248294830322},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.12117624282836914}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6017190217971802},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5937813520431519},{"id":"https://openalex.org/C64734493","wikidata":"https://www.wikidata.org/wiki/Q5608296","display_name":"Grey relational analysis","level":2,"score":0.5754410028457642},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4695606529712677},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.46086275577545166},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4302715063095093},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4273640513420105},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4185548722743988},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4131758511066437},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.34323614835739136},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2997890114784241},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2962307929992676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16997238993644714},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14219248294830322},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.12117624282836914},{"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-189992","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-189992","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1981665800","https://openalex.org/W1986349148","https://openalex.org/W1997866178","https://openalex.org/W2021290588","https://openalex.org/W2032956088","https://openalex.org/W2221788560","https://openalex.org/W2613331518","https://openalex.org/W2767077637","https://openalex.org/W2780973552","https://openalex.org/W2788060705","https://openalex.org/W2798064450","https://openalex.org/W2830852141","https://openalex.org/W2887981216","https://openalex.org/W2893126649","https://openalex.org/W2901128226","https://openalex.org/W2945946411","https://openalex.org/W2951060784","https://openalex.org/W2963263894","https://openalex.org/W2976008842","https://openalex.org/W2982658523","https://openalex.org/W3000637599","https://openalex.org/W3036097114","https://openalex.org/W3097543407"],"related_works":["https://openalex.org/W2922097266","https://openalex.org/W2885480708","https://openalex.org/W2127238875","https://openalex.org/W2043277481","https://openalex.org/W2056239380","https://openalex.org/W2003821909","https://openalex.org/W2049612019","https://openalex.org/W2537862391","https://openalex.org/W2417174640","https://openalex.org/W2117545158"],"abstract_inverted_index":{"With":[0],"the":[1,13,60,67,79,83,89,95,124,155,161,164,171,175,183,191],"development":[2],"of":[3,82,91,97,163],"urbanization,":[4],"urban":[5,17,168],"traffic":[6,24,40,45,56,64],"has":[7],"exposed":[8],"many":[9],"problems.":[10],"To":[11],"study":[12,160],"subway\u2019s":[14,84,165],"influence":[15],"on":[16,23,74,167],"traffic,":[18,43],"this":[19],"paper":[20],"collects":[21],"data":[22,68],"indicators":[25,57,105],"in":[26],"Nanchang":[27],"from":[28,37,62],"2008":[29],"to":[30,53,77,87,159,190],"2018.":[31],"The":[32,149],"research":[33],"is":[34,51,69,154],"carried":[35],"out":[36],"three":[38],"aspects:":[39],"accessibility,":[41],"green":[42],"and":[44,71,94,107,117,141,177],"security.":[46],"First,":[47],"Grey":[48],"Relational":[49],"Analysis":[50],"used":[52],"select":[54],"18":[55],"correlated":[58],"with":[59,103],"subway":[61,176],"22":[63],"indicators.":[65],"Second,":[66],"discretized":[70],"learned":[72],"based":[73],"Bayesian":[75,98,101],"Networks":[76,99,102],"construct":[78],"structural":[80],"network":[81],"influence.":[85],"Third,":[86],"verify":[88],"reliability":[90],"using":[92],"GRA":[93],"effectiveness":[96],"(GRA-BNs),":[100],"full":[104],"analysis":[106],"other":[108],"four":[109],"algorithms":[110],"(Naive":[111],"Bayes,":[112],"Random":[113],"Decision":[114],"Forest,":[115],"Logistic":[116],"regression)":[118],"are":[119,143,180,195],"employed":[120],"for":[121,145],"comparison.":[122],"Moreover,":[123],"receiver":[125],"operating":[126],"characteristic":[127],"(ROC)":[128],"area,":[129],"true":[130],"positive":[131,135],"(TP)":[132],"rate,":[133,137],"false":[134],"(FP)":[136],"precision,":[138],"recall,":[139],"F-measure,":[140],"accuracy":[142],"utilized":[144],"comparing":[146],"each":[147,178],"situation.":[148],"result":[150],"shows":[151],"that":[152],"GRA-BNs":[153],"most":[156],"effective":[157],"model":[158],"impact":[162],"operation":[166],"traffic.":[169],"Then,":[170],"dependence":[172],"relations":[173],"between":[174],"index":[179],"analyzed":[181],"by":[182],"conditional":[184],"probability":[185],"tables":[186],"(CPTs).":[187],"Finally,":[188],"according":[189],"analysis,":[192],"some":[193],"suggestions":[194],"put":[196],"forward.":[197]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}