{"id":"https://openalex.org/W4388493974","doi":"https://doi.org/10.1016/j.ress.2023.109781","title":"Causative analysis of freight railway accident in specific scenes using a data-driven Bayesian network","display_name":"Causative analysis of freight railway accident in specific scenes using a data-driven Bayesian network","publication_year":2023,"publication_date":"2023-11-08","ids":{"openalex":"https://openalex.org/W4388493974","doi":"https://doi.org/10.1016/j.ress.2023.109781"},"language":"en","primary_location":{"id":"doi:10.1016/j.ress.2023.109781","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ress.2023.109781","pdf_url":null,"source":{"id":"https://openalex.org/S202403813","display_name":"Reliability Engineering & System Safety","issn_l":"0951-8320","issn":["0951-8320","1879-0836"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"Reliability Engineering & System Safety","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.ress.2023.109781","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005770087","display_name":"Xiyuan Chen","orcid":"https://orcid.org/0000-0002-1770-8529"},"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":"Xiyuan Chen","raw_affiliation_strings":["School of Traffic and Transportation, Beijing Jiaotong University, China","State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation, Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008788676","display_name":"Xiaoping Ma","orcid":"https://orcid.org/0000-0002-4266-0854"},"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":"Xiaoping Ma","raw_affiliation_strings":["School of Traffic and Transportation, Beijing Jiaotong University, China","State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, China"],"raw_orcid":"https://orcid.org/0000-0002-4266-0854","affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation, Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108050279","display_name":"Limin Jia","orcid":null},"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":"Limin Jia","raw_affiliation_strings":["School of Traffic and Transportation, Beijing Jiaotong University, China","State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation, Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069145492","display_name":"Zhipeng Zhang","orcid":"https://orcid.org/0000-0002-5127-0284"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Zhang","raw_affiliation_strings":["School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100405394","display_name":"Fei Chen","orcid":"https://orcid.org/0000-0002-4191-8163"},"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":"Fei Chen","raw_affiliation_strings":["School of Traffic and Transportation, Beijing Jiaotong University, China","State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation, Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057314825","display_name":"Ruojin Wang","orcid":null},"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":"Ruojin Wang","raw_affiliation_strings":["School of Traffic and Transportation, Beijing Jiaotong University, China","State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation, Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008788676"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":{"value":4190,"currency":"USD","value_usd":4190},"apc_paid":{"value":4190,"currency":"USD","value_usd":4190},"fwci":9.4316,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.98501485,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"243","issue":null,"first_page":"109781","last_page":"109781"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10809","display_name":"Occupational Health and Safety Research","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/accident","display_name":"Accident (philosophy)","score":0.726269006729126},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5887422561645508},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5224156379699707},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5221498608589172},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5062695741653442},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.497487336397171},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4635013937950134},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4571393132209778},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4307187795639038},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3629925847053528}],"concepts":[{"id":"https://openalex.org/C2780289543","wikidata":"https://www.wikidata.org/wiki/Q424630","display_name":"Accident (philosophy)","level":2,"score":0.726269006729126},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5887422561645508},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5224156379699707},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5221498608589172},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5062695741653442},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.497487336397171},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4635013937950134},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4571393132209778},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4307187795639038},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3629925847053528},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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.ress.2023.109781","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ress.2023.109781","pdf_url":null,"source":{"id":"https://openalex.org/S202403813","display_name":"Reliability Engineering & System Safety","issn_l":"0951-8320","issn":["0951-8320","1879-0836"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"Reliability Engineering & System Safety","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:eee:reensy:v:243:y:2024:i:c:s0951832023006956","is_oa":false,"landing_page_url":"http://www.sciencedirect.com/science/article/pii/S0951832023006956","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,"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"}],"best_oa_location":{"id":"doi:10.1016/j.ress.2023.109781","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ress.2023.109781","pdf_url":null,"source":{"id":"https://openalex.org/S202403813","display_name":"Reliability Engineering & System Safety","issn_l":"0951-8320","issn":["0951-8320","1879-0836"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"Reliability Engineering & System Safety","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G1518198452","display_name":null,"funder_award_id":"2022JBXT009","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G1682896328","display_name":null,"funder_award_id":"RCS2022ZZ002","funder_id":"https://openalex.org/F4320323067","funder_display_name":"State Key Laboratory of Rail Traffic Control and Safety"}],"funders":[{"id":"https://openalex.org/F4320323067","display_name":"State Key Laboratory of Rail Traffic Control and Safety","ror":"https://ror.org/01yj56c84"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1712239040","https://openalex.org/W1817561967","https://openalex.org/W1992594529","https://openalex.org/W2018571157","https://openalex.org/W2045759663","https://openalex.org/W2062487524","https://openalex.org/W2144731007","https://openalex.org/W2159985326","https://openalex.org/W2573360423","https://openalex.org/W2750050145","https://openalex.org/W2781518033","https://openalex.org/W2804659757","https://openalex.org/W2810317865","https://openalex.org/W2947197489","https://openalex.org/W2956135218","https://openalex.org/W2979638007","https://openalex.org/W2994331577","https://openalex.org/W3003560151","https://openalex.org/W3012173658","https://openalex.org/W3015121100","https://openalex.org/W3035709542","https://openalex.org/W3039249296","https://openalex.org/W3082981368","https://openalex.org/W3090733627","https://openalex.org/W3092951292","https://openalex.org/W3110929880","https://openalex.org/W3189185415","https://openalex.org/W3205793239","https://openalex.org/W4200412656","https://openalex.org/W4206153201","https://openalex.org/W4225015853","https://openalex.org/W4225264541","https://openalex.org/W6731698297","https://openalex.org/W6771445453","https://openalex.org/W6799204891"],"related_works":["https://openalex.org/W2407375987","https://openalex.org/W3049691116","https://openalex.org/W2505726097","https://openalex.org/W2010643158","https://openalex.org/W2106867672","https://openalex.org/W4310268968","https://openalex.org/W2950975704","https://openalex.org/W4297815943","https://openalex.org/W2053745677","https://openalex.org/W2189378472"],"abstract_inverted_index":{"As":[0],"the":[1,48,68,73,76,79,95,101,118,123,139,156,173,178,186,191,194,199,223,226,231],"freight":[2,10],"railway":[3,11],"system":[4],"is":[5,44,64,91,107,114,135],"a":[6,88,128],"typical":[7],"complex":[8,16,56,241],"system,":[9],"accidents":[12],"have":[13],"various":[14,54,142,239],"and":[15,32,37,55,84,100,120,166,188,193,230,240],"accident":[17,30,33,51,58,143,154,181,196,207,228,235],"scenes.":[18,59,147,211,243],"A":[19],"Data-Driven":[20],"Bayesian":[21],"Network":[22],"(DDBN)":[23],"with":[24,164,185],"random":[25],"variables":[26],"representing":[27],"scene":[28],"elements,":[29],"causes,":[31],"consequences":[34],"as":[35,42],"nodes,":[36,99],"conditional":[38],"dependencies":[39],"between":[40,98],"nodes":[41,71],"edges":[43,104],"proposed":[45,92,115,136],"to":[46,66,93,116,137,206],"identify":[47],"most":[49],"significant":[50,227],"causes":[52,144,182,197,229],"in":[53,72,105,145,209,215,238],"specific":[57,146,189,210,242],"First,":[60],"an":[61,111],"unsupervised-supervised":[62],"method":[63],"designed":[65],"define":[67],"states":[69],"of":[70,78,103,122,141,159,180,190,225,233],"DDBN,":[74],"considering":[75],"characteristics":[77],"data":[80,220],"involving":[81],"both":[82],"continuous":[83],"discrete":[85],"states.":[86],"Second,":[87],"greedy":[89],"algorithm":[90],"mine":[94],"causal":[96],"sequence":[97],"direction":[102],"DDBN":[106,124,134,160,213],"established":[108],"accordingly.":[109],"Then,":[110],"NB-K2-MLE":[112],"approach":[113],"generate":[117],"structure":[119],"parameters":[121],"from":[125],"data.":[126],"Finally,":[127],"risk":[129,140],"calculation":[130],"function":[131],"based":[132,151],"on":[133,152],"calculate":[138],"In":[148],"empirical":[149],"analysis":[150],"real":[153],"data,":[155],"inference":[157],"accuracy":[158],"reached":[161],"87.92":[162],"%,":[163],"precision":[165],"recall":[167],"exceeding":[168],"70":[169],"%.":[170],"More":[171],"importantly,":[172],"research":[174],"results":[175],"indicate":[176],"that":[177],"distribution":[179],"will":[183],"concentrate":[184],"refinement":[187],"scene,":[192],"main":[195],"at":[198],"macro":[200],"level":[201],"cannot":[202],"be":[203],"fully":[204],"applicable":[205],"prevention":[208,236],"The":[212],"constructed":[214],"this":[216],"study":[217],"can":[218],"provide":[219],"support":[221],"for":[222],"determination":[224],"development":[232],"targeted":[234],"strategies":[237]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":11}],"updated_date":"2026-07-14T08:27:34.040176","created_date":"2025-10-10T00:00:00"}