{"id":"https://openalex.org/W7125972831","doi":"https://doi.org/10.1109/smc58881.2025.11343506","title":"Identification and Assessment of Causes of Urban Gas Accidents via Text Mining and Bayesian Networks","display_name":"Identification and Assessment of Causes of Urban Gas Accidents via Text Mining and Bayesian Networks","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125972831","doi":"https://doi.org/10.1109/smc58881.2025.11343506"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11343506","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5124070975","display_name":"Peng Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Guo","raw_affiliation_strings":["Northwestern Polytechnical University,School of Management,Xi&#x2019;an,China,710129"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Management,Xi&#x2019;an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124094507","display_name":"Yue Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Ma","raw_affiliation_strings":["Northwestern Polytechnical University,School of Management,Xi&#x2019;an,China,710129"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Management,Xi&#x2019;an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124064342","display_name":"Jing Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhao","raw_affiliation_strings":["Northwestern Polytechnical University,School of Management,Xi&#x2019;an,China,710129"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Management,Xi&#x2019;an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5119724545","display_name":"Fuchuan Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuchuan Wei","raw_affiliation_strings":["Northwestern Polytechnical University,School of Management,Xi&#x2019;an,China,710129"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Management,Xi&#x2019;an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6289","last_page":"6294"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.4138000011444092,"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":0.4138000011444092,"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/T12086","display_name":"Structural Integrity and Reliability Analysis","score":0.15070000290870667,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11371","display_name":"Wind and Air Flow Studies","score":0.0868000015616417,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6233999729156494},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5827999711036682},{"id":"https://openalex.org/keywords/objectivity","display_name":"Objectivity (philosophy)","score":0.47119998931884766},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.45210000872612},{"id":"https://openalex.org/keywords/accident-analysis","display_name":"Accident analysis","score":0.4050000011920929},{"id":"https://openalex.org/keywords/accident-investigation","display_name":"Accident investigation","score":0.39160001277923584},{"id":"https://openalex.org/keywords/urban-planning","display_name":"Urban planning","score":0.3894999921321869}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6233999729156494},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5827999711036682},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5397999882698059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48190000653266907},{"id":"https://openalex.org/C2482559","wikidata":"https://www.wikidata.org/wiki/Q206330","display_name":"Objectivity (philosophy)","level":2,"score":0.47119998931884766},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.45210000872612},{"id":"https://openalex.org/C2780591428","wikidata":"https://www.wikidata.org/wiki/Q2493120","display_name":"Accident analysis","level":2,"score":0.4050000011920929},{"id":"https://openalex.org/C3018671437","wikidata":"https://www.wikidata.org/wiki/Q2493120","display_name":"Accident investigation","level":2,"score":0.39160001277923584},{"id":"https://openalex.org/C49545453","wikidata":"https://www.wikidata.org/wiki/Q69883","display_name":"Urban planning","level":2,"score":0.3894999921321869},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.36500000953674316},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.35659998655319214},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3483000099658966},{"id":"https://openalex.org/C2780289543","wikidata":"https://www.wikidata.org/wiki/Q424630","display_name":"Accident (philosophy)","level":2,"score":0.34790000319480896},{"id":"https://openalex.org/C2994492277","wikidata":"https://www.wikidata.org/wiki/Q1362483","display_name":"Gas explosion","level":2,"score":0.32829999923706055},{"id":"https://openalex.org/C2989506057","wikidata":"https://www.wikidata.org/wiki/Q9687","display_name":"Traffic accident","level":2,"score":0.3018999993801117},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.28859999775886536},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C2982939262","wikidata":"https://www.wikidata.org/wiki/Q696776","display_name":"Urban management","level":3,"score":0.2578999996185303}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11343506","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7366927266120911,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2938016784","https://openalex.org/W3111390905","https://openalex.org/W3132895077","https://openalex.org/W3137260098","https://openalex.org/W3158991200","https://openalex.org/W4210829109","https://openalex.org/W4293248089","https://openalex.org/W4366506419","https://openalex.org/W4377086587","https://openalex.org/W4388751966","https://openalex.org/W4389199946"],"related_works":[],"abstract_inverted_index":{"Urban":[0],"gas":[1,61,133],"systems,":[2],"as":[3],"critical":[4],"components":[5],"of":[6,59,102,112,131],"urban":[7,19,60,132],"infrastructure,":[8],"are":[9,123],"increasingly":[10],"exposed":[11],"to":[12,17,31,76,93,125],"complex":[13],"safety":[14],"risks":[15],"due":[16],"ongoing":[18],"expansion":[20],"and":[21,45,55,97,129],"the":[22,57,81,99,110,113,118,127],"resulting":[23],"rise":[24],"in":[25],"accident":[26,67,95],"frequency,":[27],"posing":[28],"significant":[29],"threats":[30],"public":[32],"welfare.":[33],"Traditional":[34],"cause":[35],"analysis":[36],"methods":[37],"based":[38],"on":[39,117],"expert":[40],"judgment":[41],"often":[42],"lack":[43],"objectivity":[44],"reproducibility.":[46],"This":[47],"paper":[48],"proposes":[49],"a":[50],"data-driven":[51],"framework":[52],"for":[53],"identifying":[54],"evaluating":[56],"causes":[58],"accidents":[62],"using":[63],"information":[64],"extracted":[65],"from":[66],"reports.":[68],"A":[69,87],"TF-H":[70],"text":[71],"mining":[72],"technique":[73],"is":[74,90],"employed":[75],"extract":[77],"causal":[78],"factors,":[79],"while":[80],"Apriori":[82],"algorithm":[83],"reveals":[84],"their":[85],"interrelationships.":[86],"Bayesian":[88],"network":[89],"then":[91],"constructed":[92],"infer":[94],"severity":[96],"assess":[98],"relative":[100],"importance":[101],"each":[103],"factor.":[104],"Validation":[105],"with":[106],"real-world":[107],"cases":[108],"confirms":[109],"effectiveness":[111],"proposed":[114],"approach.":[115],"Based":[116],"results,":[119],"targeted":[120],"management":[121],"strategies":[122],"recommended":[124],"support":[126],"prevention":[128],"mitigation":[130],"accidents.":[134]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-01-29T00:00:00"}
