{"id":"https://openalex.org/W3089813162","doi":"https://doi.org/10.3233/idt-190086","title":"Risk assessment and comparison of regional natural disasters in China using clustering","display_name":"Risk assessment and comparison of regional natural disasters in China using clustering","publication_year":2020,"publication_date":"2020-08-18","ids":{"openalex":"https://openalex.org/W3089813162","doi":"https://doi.org/10.3233/idt-190086","mag":"3089813162"},"language":"en","primary_location":{"id":"doi:10.3233/idt-190086","is_oa":false,"landing_page_url":"https://doi.org/10.3233/idt-190086","pdf_url":null,"source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"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":"Intelligent Decision Technologies","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/A5100446688","display_name":"Ning Chen","orcid":"https://orcid.org/0000-0001-8721-3807"},"institutions":[{"id":"https://openalex.org/I4210122384","display_name":"Beijing Municipal Ecology and Environment Bureau","ror":"https://ror.org/02w23ky30","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210122384"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Chen","raw_affiliation_strings":["Beijing Municipal Institute of Labor Protection, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Municipal Institute of Labor Protection, Beijing, China","institution_ids":["https://openalex.org/I4210122384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101519682","display_name":"Yingchao Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]},{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingchao Ma","raw_affiliation_strings":["Safety and Emergency Management, Research Center Henan Polytechnic University, Jiaozuo, Henan, China","School of Economics, Wuhan University of Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Safety and Emergency Management, Research Center Henan Polytechnic University, Jiaozuo, Henan, China","institution_ids":["https://openalex.org/I4210166499"]},{"raw_affiliation_string":"School of Economics, Wuhan University of Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087417158","display_name":"Chaosheng Tang","orcid":"https://orcid.org/0000-0001-6923-855X"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaosheng Tang","raw_affiliation_strings":["College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, Henan, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, Henan, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100687057","display_name":"An Chen","orcid":"https://orcid.org/0000-0003-2165-5746"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210116191","display_name":"Institutes of Science and Development","ror":"https://ror.org/02ce9qs13","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210116191"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"An Chen","raw_affiliation_strings":["Institutes of Science and Development, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institutes of Science and Development, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210116191","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086708348","display_name":"Xiaohui Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122384","display_name":"Beijing Municipal Ecology and Environment Bureau","ror":"https://ror.org/02w23ky30","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210122384"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Yao","raw_affiliation_strings":["Beijing Municipal Institute of Labor Protection, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Municipal Institute of Labor Protection, Beijing, China","institution_ids":["https://openalex.org/I4210122384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101519682"],"corresponding_institution_ids":["https://openalex.org/I196699116","https://openalex.org/I4210166499"],"apc_list":null,"apc_paid":null,"fwci":0.2059,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57062643,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"14","issue":"3","first_page":"349","last_page":"357"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10747","display_name":"Disaster Management and Resilience","score":0.9746999740600586,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T13955","display_name":"Evaluation Methods in Various Fields","score":0.9596999883651733,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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/multiple-criteria-decision-analysis","display_name":"Multiple-criteria decision analysis","score":0.7443860769271851},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.708686888217926},{"id":"https://openalex.org/keywords/natural-disaster","display_name":"Natural disaster","score":0.6985014081001282},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.49881815910339355},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.4976673424243927},{"id":"https://openalex.org/keywords/risk-management","display_name":"Risk management","score":0.4397132992744446},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43791037797927856},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40746304392814636},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.36906787753105164},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.338104248046875},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.28199514746665955},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20520180463790894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17252960801124573}],"concepts":[{"id":"https://openalex.org/C11105738","wikidata":"https://www.wikidata.org/wiki/Q1895805","display_name":"Multiple-criteria decision analysis","level":2,"score":0.7443860769271851},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.708686888217926},{"id":"https://openalex.org/C166566181","wikidata":"https://www.wikidata.org/wiki/Q8065","display_name":"Natural disaster","level":2,"score":0.6985014081001282},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.49881815910339355},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.4976673424243927},{"id":"https://openalex.org/C32896092","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Risk management","level":2,"score":0.4397132992744446},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43791037797927856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40746304392814636},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.36906787753105164},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.338104248046875},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.28199514746665955},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20520180463790894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17252960801124573},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/idt-190086","is_oa":false,"landing_page_url":"https://doi.org/10.3233/idt-190086","pdf_url":null,"source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"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":"Intelligent Decision Technologies","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W62499628","https://openalex.org/W194786220","https://openalex.org/W1977713982","https://openalex.org/W2017772366","https://openalex.org/W2023791166","https://openalex.org/W2031132254","https://openalex.org/W2038188901","https://openalex.org/W2111973484","https://openalex.org/W2182596732","https://openalex.org/W2398633470","https://openalex.org/W2408821405","https://openalex.org/W2506768821","https://openalex.org/W2735174869","https://openalex.org/W2765420219","https://openalex.org/W2897966647","https://openalex.org/W3137281393","https://openalex.org/W4235121688"],"related_works":["https://openalex.org/W1923764247","https://openalex.org/W2114208415","https://openalex.org/W2369233745","https://openalex.org/W2125534874","https://openalex.org/W2611614597","https://openalex.org/W2619501344","https://openalex.org/W4386500624","https://openalex.org/W2899303483","https://openalex.org/W4240788009","https://openalex.org/W2246096879"],"abstract_inverted_index":{"Natural":[0],"disaster":[1,50,148,156],"that":[2],"contributes":[3],"to":[4,24,73,81,98,121],"the":[5,10,38,46,70,86,92,100,110,114,123,140],"economic":[6],"crisis":[7],"all":[8],"over":[9,85,109],"world":[11],"has":[12],"a":[13,31,57,104,126],"crucial":[14],"role":[15],"in":[16,37,144],"emergency":[17],"management.":[18],"The":[19,136],"assessment":[20],"of":[21,48,52,106,128,142,146],"regional":[22,71],"risk":[23,51,72,107,133,149,157],"natural":[25,74,147],"disasters":[26],"is":[27,60,79,96,119],"normally":[28],"studied":[29],"as":[30],"multi-criteria":[32],"decision":[33],"making":[34],"(MCDM)":[35],"problem":[36],"literature.":[39],"However":[40],"little":[41],"effort":[42],"was":[43],"devoted":[44],"into":[45,125],"comparison":[47],"temporary":[49],"regions.":[53],"In":[54,91,113],"this":[55],"paper,":[56],"hybrid":[58],"approach":[59],"proposed":[61],"integrating":[62],"MCDM":[63,95],"and":[64,68,150],"clustering":[65,118],"for":[66,155],"evaluating":[67],"comparing":[69],"disasters.":[75],"Our":[76],"two-stage":[77],"method":[78],"applied":[80,120],"thirty-one":[82],"Chinese":[83],"regions":[84,101,124,143],"past":[87],"two":[88],"consecutive":[89],"years.":[90],"first":[93],"stage":[94],"used":[97],"prioritize":[99],"yearly":[102],"yielding":[103],"set":[105],"vectors":[108],"given":[111],"period.":[112],"second":[115],"stage,":[116],"K-means":[117],"divide":[122],"number":[127],"clusters":[129],"characterized":[130],"by":[131],"different":[132],"variation":[134,141],"patterns.":[135],"derived":[137],"patterns":[138],"reveal":[139],"perspective":[145],"therefore":[151],"offer":[152],"valuable":[153],"suggestions":[154],"reduction.":[158]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}