{"id":"https://openalex.org/W4411143555","doi":"https://doi.org/10.1109/access.2025.3578192","title":"AI-Driven Post-Earthquake Emergency Material Demand Prediction: Integrating RAG With Reasoning Large Language Model","display_name":"AI-Driven Post-Earthquake Emergency Material Demand Prediction: Integrating RAG With Reasoning Large Language Model","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411143555","doi":"https://doi.org/10.1109/access.2025.3578192"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3578192","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3578192","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3578192","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Song Zhang","orcid":"https://orcid.org/0009-0003-3756-3421"},"institutions":[{"id":"https://openalex.org/I4210098369","display_name":"Institute of Disaster Prevention","ror":"https://ror.org/00pyv1r78","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098369","https://openalex.org/I90149893"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Song Zhang","raw_affiliation_strings":["Institute of Disaster Prevention, Sanhe, China"],"raw_orcid":"https://orcid.org/0009-0003-3756-3421","affiliations":[{"raw_affiliation_string":"Institute of Disaster Prevention, Sanhe, China","institution_ids":["https://openalex.org/I4210098369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103067199","display_name":"Meng Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098369","display_name":"Institute of Disaster Prevention","ror":"https://ror.org/00pyv1r78","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098369","https://openalex.org/I90149893"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Huang","raw_affiliation_strings":["Institute of Disaster Prevention, Sanhe, China"],"raw_orcid":"https://orcid.org/0009-0000-9107-9102","affiliations":[{"raw_affiliation_string":"Institute of Disaster Prevention, Sanhe, China","institution_ids":["https://openalex.org/I4210098369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034535641","display_name":"Shuai Liu","orcid":"https://orcid.org/0000-0002-7115-6374"},"institutions":[{"id":"https://openalex.org/I4210098369","display_name":"Institute of Disaster Prevention","ror":"https://ror.org/00pyv1r78","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098369","https://openalex.org/I90149893"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Liu","raw_affiliation_strings":["Institute of Disaster Prevention, Sanhe, China"],"raw_orcid":"https://orcid.org/0000-0002-7115-6374","affiliations":[{"raw_affiliation_string":"Institute of Disaster Prevention, Sanhe, China","institution_ids":["https://openalex.org/I4210098369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078470404","display_name":"Fanxin Meng","orcid":"https://orcid.org/0000-0002-8956-4149"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fanxin Meng","raw_affiliation_strings":["Sichuan Disaster Reduction Center, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan Disaster Reduction Center, Chengdu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yingyao Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098369","display_name":"Institute of Disaster Prevention","ror":"https://ror.org/00pyv1r78","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098369","https://openalex.org/I90149893"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingyao Xie","raw_affiliation_strings":["Institute of Disaster Prevention, Sanhe, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Disaster Prevention, Sanhe, China","institution_ids":["https://openalex.org/I4210098369"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xirui Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098369","display_name":"Institute of Disaster Prevention","ror":"https://ror.org/00pyv1r78","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098369","https://openalex.org/I90149893"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xirui Ren","raw_affiliation_strings":["Institute of Disaster Prevention, Sanhe, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Disaster Prevention, Sanhe, China","institution_ids":["https://openalex.org/I4210098369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056360981","display_name":"Yuanwang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098369","display_name":"Institute of Disaster Prevention","ror":"https://ror.org/00pyv1r78","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098369","https://openalex.org/I90149893"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanwang Zhang","raw_affiliation_strings":["Institute of Disaster Prevention, Sanhe, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Disaster Prevention, Sanhe, China","institution_ids":["https://openalex.org/I4210098369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104196006","display_name":"Wenbo Shao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098369","display_name":"Institute of Disaster Prevention","ror":"https://ror.org/00pyv1r78","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098369","https://openalex.org/I90149893"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Shao","raw_affiliation_strings":["Institute of Disaster Prevention, Sanhe, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Disaster Prevention, Sanhe, China","institution_ids":["https://openalex.org/I4210098369"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210098369"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":8.8879,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.9758432,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"13","issue":null,"first_page":"100630","last_page":"100646"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14222","display_name":"Knowledge Management and Technology","score":0.6723999977111816,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T14222","display_name":"Knowledge Management and Technology","score":0.6723999977111816,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T12394","display_name":"Insurance and Financial Risk Management","score":0.6312000155448914,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6582969427108765},{"id":"https://openalex.org/keywords/earthquake-prediction","display_name":"Earthquake prediction","score":0.4422723054885864},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3924635052680969},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33859506249427795},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.14869272708892822},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1250946819782257}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6582969427108765},{"id":"https://openalex.org/C11097651","wikidata":"https://www.wikidata.org/wiki/Q606654","display_name":"Earthquake prediction","level":2,"score":0.4422723054885864},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3924635052680969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33859506249427795},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.14869272708892822},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1250946819782257}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3578192","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3578192","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:14221ff8b46f46e0baa183eaddc78381","is_oa":true,"landing_page_url":"https://doaj.org/article/14221ff8b46f46e0baa183eaddc78381","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 100630-100646 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3578192","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3578192","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2493441348","https://openalex.org/W2562568394","https://openalex.org/W2792214800","https://openalex.org/W3140598044","https://openalex.org/W3189758721","https://openalex.org/W3207875416","https://openalex.org/W4388130524","https://openalex.org/W4391053971","https://openalex.org/W4393435058","https://openalex.org/W4396912855","https://openalex.org/W4400053740","https://openalex.org/W4401357982","https://openalex.org/W4402467765","https://openalex.org/W4403918239","https://openalex.org/W4405264763","https://openalex.org/W4405372230","https://openalex.org/W4405992219","https://openalex.org/W4406999253","https://openalex.org/W4407031014","https://openalex.org/W6882866052"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"The":[0,128],"supply":[1],"of":[2,32,39,49,61,160],"emergency":[3,22,40,98,110],"rescue":[4],"materials":[5],"plays":[6],"a":[7,83],"pivotal":[8],"role":[9],"in":[10,72,207],"post-earthquake":[11,97],"relief":[12],"operations.":[13],"However,":[14],"varying":[15],"disaster":[16,121,198],"scenarios":[17,199],"generate":[18],"differentiated":[19,146],"demands":[20,64],"for":[21,96],"resources,":[23],"where":[24],"factors":[25],"such":[26],"as":[27],"seasonal":[28],"impacts,":[29],"geographic":[30],"environment":[31],"affected":[33],"areas,":[34],"population":[35,161],"density,":[36],"and":[37,47,77,120,153,163,182,196],"requirements":[38,165],"response":[41],"protocols":[42],"significantly":[43],"influence":[44],"the":[45,138,171,191,208],"categories":[46,152],"quantities":[48],"required":[50],"supplies.":[51],"Current":[52],"research":[53],"predominantly":[54],"focuses":[55],"on":[56,67,178],"essential":[57],"materials,":[58],"while":[59],"determinations":[60],"scenario-specific":[62],"material":[63,99,151,164],"rely":[65],"heavily":[66],"expert":[68,104,188],"empirical":[69],"inference,":[70],"resulting":[71],"discrepancies":[73],"between":[74],"model":[75,87],"predictions":[76],"actual":[78],"requirements.":[79],"This":[80],"study":[81],"proposes":[82],"reasoning-enhanced":[84],"large":[85],"language":[86],"(LLM)":[88],"framework":[89,129],"integrated":[90],"with":[91,202],"Retrieval-Augmented":[92],"Generation":[93],"(RAG)":[94],"technology":[95],"demand":[100,155,175],"prediction.":[101],"By":[102],"simulating":[103],"decision-making":[105],"processes,":[106],"we":[107],"construct":[108],"an":[109],"knowledge":[111,135],"base":[112],"amalgamating":[113],"standardized":[114],"protocols,":[115],"historical":[116],"seismic":[117],"case":[118],"data,":[119],"scenario":[122],"characteristics":[123],"extracted":[124],"from":[125],"digital":[126],"resources.":[127],"employs":[130],"RAG":[131],"to":[132,144],"enhance":[133],"domain-specific":[134],"integration":[136],"within":[137],"reasoning":[139],"model,":[140],"utilizing":[141],"Chain-of-Thought":[142],"generation":[143],"produce":[145],"prediction":[147,176],"schemes":[148],"that":[149],"specify":[150],"per-capita":[154],"metrics.":[156],"Through":[157],"dynamic":[158],"updating":[159],"statistics":[162],"via":[166],"post-disaster":[167],"network":[168],"information":[169],"monitoring,":[170],"system":[172],"achieves":[173],"real-time":[174],"based":[177],"evolving":[179],"victim":[180],"counts":[181],"individualized":[183],"allocation":[184],"parameters.":[185],"Validation":[186],"through":[187],"evaluations":[189],"using":[190],"2013":[192],"Ya\u2019an":[193],"Lushan":[194],"earthquake":[195,214],"simulated":[197],"demonstrates":[200],"effectiveness,":[201],"successful":[203],"practical":[204],"implementation":[205],"observed":[206],"January":[209],"7,":[210],"2025,":[211],"Dingri":[212],"M6.8":[213],"case.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-08T15:41:06.802602","created_date":"2025-10-10T00:00:00"}
