{"id":"https://openalex.org/W4213418666","doi":"https://doi.org/10.1109/wsc52266.2021.9715322","title":"Machine Learning and Simulation-Based Framework for Disaster Preparedness Prediction","display_name":"Machine Learning and Simulation-Based Framework for Disaster Preparedness Prediction","publication_year":2021,"publication_date":"2021-12-12","ids":{"openalex":"https://openalex.org/W4213418666","doi":"https://doi.org/10.1109/wsc52266.2021.9715322"},"language":"en","primary_location":{"id":"doi:10.1109/wsc52266.2021.9715322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc52266.2021.9715322","pdf_url":null,"source":{"id":"https://openalex.org/S4363607949","display_name":"2021 Winter Simulation Conference (WSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Winter Simulation Conference (WSC)","raw_type":"proceedings-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/A5060173235","display_name":"Zhenlong Jiang","orcid":"https://orcid.org/0000-0002-4805-0002"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhenlong Jiang","raw_affiliation_strings":["George Mason University,Department of Systems Engineering and Operations Research,Fairfax,VA,USA,22030"],"affiliations":[{"raw_affiliation_string":"George Mason University,Department of Systems Engineering and Operations Research,Fairfax,VA,USA,22030","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021431713","display_name":"Ran Ji","orcid":"https://orcid.org/0000-0001-5797-0153"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ran Ji","raw_affiliation_strings":["George Mason University,Department of Systems Engineering and Operations Research,Fairfax,VA,USA,22030"],"affiliations":[{"raw_affiliation_string":"George Mason University,Department of Systems Engineering and Operations Research,Fairfax,VA,USA,22030","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031313459","display_name":"Yudi Chen","orcid":"https://orcid.org/0000-0003-4001-0927"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yudi Chen","raw_affiliation_strings":["George Mason University,Department of Civil, Environmental, and Infrastructure Engineering,Fairfax,VA,USA,22030"],"affiliations":[{"raw_affiliation_string":"George Mason University,Department of Civil, Environmental, and Infrastructure Engineering,Fairfax,VA,USA,22030","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070155512","display_name":"Wenying Ji","orcid":"https://orcid.org/0000-0002-1222-2191"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenying Ji","raw_affiliation_strings":["George Mason University,Department of Civil, Environmental, and Infrastructure Engineering,Fairfax,VA,USA,22030"],"affiliations":[{"raw_affiliation_string":"George Mason University,Department of Civil, Environmental, and Infrastructure Engineering,Fairfax,VA,USA,22030","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5060173235"],"corresponding_institution_ids":["https://openalex.org/I162714631"],"apc_list":null,"apc_paid":null,"fwci":0.5017,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67193052,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10747","display_name":"Disaster Management and Resilience","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10747","display_name":"Disaster Management and Resilience","score":0.9983999729156494,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9739999771118164,"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/T11430","display_name":"Disaster Response and Management","score":0.9043999910354614,"subfield":{"id":"https://openalex.org/subfields/3604","display_name":"Emergency Medical Services"},"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/preparedness","display_name":"Preparedness","score":0.7742182016372681},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.6303640604019165},{"id":"https://openalex.org/keywords/declaration","display_name":"Declaration","score":0.624284565448761},{"id":"https://openalex.org/keywords/emergency-management","display_name":"Emergency management","score":0.596342921257019},{"id":"https://openalex.org/keywords/natural-disaster","display_name":"Natural disaster","score":0.571514368057251},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5625407695770264},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4822410047054291},{"id":"https://openalex.org/keywords/census","display_name":"Census","score":0.4458523392677307},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4420197010040283},{"id":"https://openalex.org/keywords/disaster-preparedness","display_name":"Disaster preparedness","score":0.43899866938591003},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3557318449020386},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3371971547603607},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3311159610748291},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.269963800907135},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18393480777740479},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.08581393957138062},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.07694336771965027}],"concepts":[{"id":"https://openalex.org/C2777042776","wikidata":"https://www.wikidata.org/wiki/Q4583103","display_name":"Preparedness","level":2,"score":0.7742182016372681},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.6303640604019165},{"id":"https://openalex.org/C138147947","wikidata":"https://www.wikidata.org/wiki/Q1183659","display_name":"Declaration","level":2,"score":0.624284565448761},{"id":"https://openalex.org/C62555980","wikidata":"https://www.wikidata.org/wiki/Q1460420","display_name":"Emergency management","level":2,"score":0.596342921257019},{"id":"https://openalex.org/C166566181","wikidata":"https://www.wikidata.org/wiki/Q8065","display_name":"Natural disaster","level":2,"score":0.571514368057251},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5625407695770264},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4822410047054291},{"id":"https://openalex.org/C52130261","wikidata":"https://www.wikidata.org/wiki/Q39825","display_name":"Census","level":3,"score":0.4458523392677307},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4420197010040283},{"id":"https://openalex.org/C3020699826","wikidata":"https://www.wikidata.org/wiki/Q1460420","display_name":"Disaster preparedness","level":3,"score":0.43899866938591003},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3557318449020386},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3371971547603607},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3311159610748291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.269963800907135},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18393480777740479},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.08581393957138062},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.07694336771965027},{"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/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc52266.2021.9715322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc52266.2021.9715322","pdf_url":null,"source":{"id":"https://openalex.org/S4363607949","display_name":"2021 Winter Simulation Conference (WSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.8500000238418579,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2111075006","https://openalex.org/W2192869729","https://openalex.org/W2620562908","https://openalex.org/W2743381849","https://openalex.org/W2791701197","https://openalex.org/W2964861011","https://openalex.org/W3008890571","https://openalex.org/W3048964210","https://openalex.org/W3102390285","https://openalex.org/W3193156950"],"related_works":["https://openalex.org/W3036854282","https://openalex.org/W3166503072","https://openalex.org/W2531179286","https://openalex.org/W2383619049","https://openalex.org/W4386785902","https://openalex.org/W2741625407","https://openalex.org/W3129210932","https://openalex.org/W2333596239","https://openalex.org/W3202806193","https://openalex.org/W4382048629"],"abstract_inverted_index":{"Sufficient":[0],"preparedness":[1,12,41,108],"is":[2,120],"essential":[3],"to":[4,30,38,122],"community":[5],"resilience":[6],"following":[7],"natural":[8],"disasters.":[9],"Understanding":[10],"disaster":[11,40,74,107],"of":[13,24,128],"residents":[14],"in":[15],"the":[16,20,63,83,89,102,124,129],"affected":[17],"area":[18],"improves":[19],"efficiency":[21],"and":[22,35,57,72,87,126],"equity":[23],"relief":[25],"operations.":[26],"This":[27],"research":[28],"aims":[29],"develop":[31],"a":[32,114],"machine":[33],"learning":[34],"simulation-based":[36],"approach":[37,51],"predict":[39],"using":[42],"various":[43,59],"demographic":[44,98],"features":[45,99],"from":[46],"multisource":[47],"data.":[48],"The":[49],"proposed":[50,130],"comprises":[52],"four":[53],"steps:":[54],"(1)":[55],"collecting":[56],"integrating":[58],"data":[60,85,112],"sources,":[61],"including":[62],"FEMA":[64],"National":[65],"Household":[66],"Survey":[67],"data,":[68,71],"US":[69],"census":[70],"county-level":[73],"declaration":[75],"data;":[76],"(2)":[77],"training":[78],"multiple":[79],"classification":[80],"models":[81],"with":[82,91,110],"prepared":[84],"set":[86],"selecting":[88],"model":[90],"best":[92],"prediction":[93],"performance;":[94],"(3)":[95],"simulating":[96],"resident":[97],"for":[100,113],"at":[101],"county":[103],"level;":[104],"(4)":[105],"predicting":[106],"status":[109],"simulated":[111],"selected":[115],"county.":[116],"A":[117],"case":[118],"study":[119],"presented":[121],"demonstrate":[123],"reliability":[125],"applicability":[127],"framework.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}