{"id":"https://openalex.org/W4411435527","doi":"https://doi.org/10.3390/computers14060240","title":"Informing Disaster Recovery Through Predictive Relocation Modeling","display_name":"Informing Disaster Recovery Through Predictive Relocation Modeling","publication_year":2025,"publication_date":"2025-06-19","ids":{"openalex":"https://openalex.org/W4411435527","doi":"https://doi.org/10.3390/computers14060240"},"language":"en","primary_location":{"id":"doi:10.3390/computers14060240","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers14060240","pdf_url":null,"source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/computers14060240","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109678207","display_name":"Chao He","orcid":null},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chao He","raw_affiliation_strings":["Department of Civil and Environmental Engineering, Kennesaw State University, Marietta, GA 30060, USA"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, Kennesaw State University, Marietta, GA 30060, USA","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008154375","display_name":"Da Hu","orcid":"https://orcid.org/0000-0001-5291-3598"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Da Hu","raw_affiliation_strings":["Department of Civil and Environmental Engineering, Kennesaw State University, Marietta, GA 30060, USA"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, Kennesaw State University, Marietta, GA 30060, USA","institution_ids":["https://openalex.org/I172980758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008154375"],"corresponding_institution_ids":["https://openalex.org/I172980758"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":2.5188,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.88794469,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"14","issue":"6","first_page":"240","last_page":"240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9962999820709229,"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":0.9962999820709229,"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":0.9955999851226807,"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/T12656","display_name":"Climate Change, Adaptation, Migration","score":0.9775999784469604,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/relocation","display_name":"Relocation","score":0.9445598125457764},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.6884821057319641},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.62785404920578},{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.5573131442070007},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5494343042373657},{"id":"https://openalex.org/keywords/natural-disaster","display_name":"Natural disaster","score":0.4736332297325134},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.46881604194641113},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45509928464889526},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38335540890693665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36209845542907715},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3025701642036438},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2246500551700592}],"concepts":[{"id":"https://openalex.org/C2779019381","wikidata":"https://www.wikidata.org/wiki/Q3499564","display_name":"Relocation","level":2,"score":0.9445598125457764},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6884821057319641},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.62785404920578},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.5573131442070007},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5494343042373657},{"id":"https://openalex.org/C166566181","wikidata":"https://www.wikidata.org/wiki/Q8065","display_name":"Natural disaster","level":2,"score":0.4736332297325134},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.46881604194641113},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45509928464889526},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38335540890693665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36209845542907715},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3025701642036438},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2246500551700592},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/computers14060240","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers14060240","pdf_url":null,"source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6fddb314537349398771e63fce2de2c6","is_oa":true,"landing_page_url":"https://doaj.org/article/6fddb314537349398771e63fce2de2c6","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computers, Vol 14, Iss 6, p 240 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/computers14060240","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers14060240","pdf_url":null,"source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W273955616","https://openalex.org/W786408043","https://openalex.org/W1601056646","https://openalex.org/W1678356000","https://openalex.org/W1982623886","https://openalex.org/W1998258552","https://openalex.org/W2018081779","https://openalex.org/W2020214980","https://openalex.org/W2034018460","https://openalex.org/W2056135424","https://openalex.org/W2064297496","https://openalex.org/W2076746539","https://openalex.org/W2084159197","https://openalex.org/W2111219564","https://openalex.org/W2112444287","https://openalex.org/W2116825089","https://openalex.org/W2153981915","https://openalex.org/W2154290668","https://openalex.org/W2278972578","https://openalex.org/W2495675075","https://openalex.org/W2526552718","https://openalex.org/W2565823748","https://openalex.org/W2605253636","https://openalex.org/W2798605982","https://openalex.org/W2901215864","https://openalex.org/W2902913073","https://openalex.org/W2904942872","https://openalex.org/W2940689983","https://openalex.org/W3008811863","https://openalex.org/W3021380487","https://openalex.org/W3081665206","https://openalex.org/W3095235934","https://openalex.org/W3159983853","https://openalex.org/W4292333943","https://openalex.org/W4313420923","https://openalex.org/W4401075967","https://openalex.org/W6610017368"],"related_works":["https://openalex.org/W2046732476","https://openalex.org/W2486027828","https://openalex.org/W2034964907","https://openalex.org/W2380877425","https://openalex.org/W2905433371","https://openalex.org/W4361806667","https://openalex.org/W4396689146","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W2004826645"],"abstract_inverted_index":{"Housing":[0],"recovery":[1,146],"represents":[2],"a":[3],"critical":[4],"component":[5],"of":[6,28,36,42,53,68,97,107,112,131,140],"disaster":[7,145],"recovery,":[8],"and":[9,75,89,115,122],"accurately":[10],"forecasting":[11,159],"household":[12,37],"relocation":[13,38,108,158],"decisions":[14],"is":[15],"essential":[16],"for":[17],"guiding":[18],"effective":[19,163],"post-disaster":[20],"reconstruction":[21],"policies.":[22],"This":[23],"study":[24,127],"explores":[25],"the":[26,34,40,54,66,94,101,126,138],"use":[27],"machine":[29,132],"learning":[30,133],"algorithms":[31],"to":[32],"improve":[33],"prediction":[35],"in":[39,92,144,149],"aftermath":[41],"disasters.":[43],"Leveraging":[44],"data":[45],"from":[46],"1304":[47],"completed":[48],"interviews":[49],"conducted":[50],"as":[51],"part":[52],"Displaced":[55],"New":[56,154],"Orleans":[57,155],"Residents":[58],"Survey":[59],"(DNORS)":[60],"following":[61],"Hurricane":[62],"Katrina,":[63],"we":[64],"evaluate":[65],"performance":[67],"Logistic":[69],"Regression":[70],"(LR),":[71],"Random":[72],"Forest":[73],"(RF),":[74],"Weighted":[76],"Support":[77],"Vector":[78],"Machine":[79],"(WSVM)":[80],"models.":[81],"Results":[82],"indicate":[83],"that":[84],"WSVM":[85],"significantly":[86],"outperforms":[87],"LR":[88],"RF,":[90],"particularly":[91,148],"identifying":[93],"minority":[95],"class":[96],"relocated":[98],"households,":[99],"achieving":[100],"highest":[102],"F1":[103],"score.":[104],"Key":[105],"predictors":[106],"include":[109],"homeownership,":[110],"extent":[111],"housing":[113],"damage,":[114],"race.":[116],"By":[117],"integrating":[118],"variable":[119],"importance":[120],"rankings":[121],"partial":[123],"dependence":[124],"plots,":[125],"also":[128],"enhances":[129],"interpretability":[130],"outputs.":[134],"These":[135],"findings":[136],"underscore":[137],"value":[139],"advanced":[141],"predictive":[142],"models":[143],"planning,":[147],"geographically":[150],"vulnerable":[151],"regions":[152],"like":[153],"where":[156],"accurate":[157],"can":[160],"guide":[161],"more":[162],"policy":[164],"interventions.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}