{"id":"https://openalex.org/W4318147784","doi":"https://doi.org/10.1109/bigdata55660.2022.10020286","title":"A practical facility location optimization with uncertain variables in emergency road services","display_name":"A practical facility location optimization with uncertain variables in emergency road services","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4318147784","doi":"https://doi.org/10.1109/bigdata55660.2022.10020286"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata55660.2022.10020286","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020286","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","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":"2022 IEEE International Conference on Big Data (Big Data)","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/A5039554433","display_name":"Shogo Takedomi","orcid":null},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]},{"id":"https://openalex.org/I91443412","display_name":"Bridgestone (Japan)","ror":"https://ror.org/04trbvb35","country_code":"JP","type":"company","lineage":["https://openalex.org/I91443412"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shogo Takedomi","raw_affiliation_strings":["Bridgestone Corporation,Tokyo,Japan","Bridgestone Corporation, Tokyo, Japan","Tohoku University, Miyagi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bridgestone Corporation,Tokyo,Japan","institution_ids":["https://openalex.org/I91443412"]},{"raw_affiliation_string":"Bridgestone Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I91443412"]},{"raw_affiliation_string":"Tohoku University, Miyagi, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014294379","display_name":"Tsukasa Ishigaki","orcid":null},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsukasa Ishigaki","raw_affiliation_strings":["Tohoku University,Miyagi,Japan","Tohoku University, Miyagi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tohoku University,Miyagi,Japan","institution_ids":["https://openalex.org/I201537933"]},{"raw_affiliation_string":"Tohoku University, Miyagi, Japan","institution_ids":["https://openalex.org/I201537933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.43440233,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"2072","last_page":"2081"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11502","display_name":"Facility Location and Emergency Management","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11502","display_name":"Facility Location and Emergency Management","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T12306","display_name":"Urban and Freight Transport Logistics","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/backup","display_name":"Backup","score":0.8806237578392029},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6854245066642761},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.6248114109039307},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4937160909175873},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.45082637667655945},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.4484559893608093},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15467974543571472},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.0832112729549408},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.08125549554824829},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.07974782586097717}],"concepts":[{"id":"https://openalex.org/C2780945871","wikidata":"https://www.wikidata.org/wiki/Q194274","display_name":"Backup","level":2,"score":0.8806237578392029},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6854245066642761},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.6248114109039307},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4937160909175873},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.45082637667655945},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4484559893608093},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15467974543571472},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0832112729549408},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.08125549554824829},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.07974782586097717},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata55660.2022.10020286","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020286","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","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":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1504885427","https://openalex.org/W1974298091","https://openalex.org/W1976122053","https://openalex.org/W1979677633","https://openalex.org/W1986707850","https://openalex.org/W1988963644","https://openalex.org/W1997392494","https://openalex.org/W2007930753","https://openalex.org/W2014346251","https://openalex.org/W2032074274","https://openalex.org/W2053490076","https://openalex.org/W2076424969","https://openalex.org/W2077278144","https://openalex.org/W2083009017","https://openalex.org/W2084761412","https://openalex.org/W2092127286","https://openalex.org/W2109962606","https://openalex.org/W2127859636","https://openalex.org/W2133676848","https://openalex.org/W2142774911","https://openalex.org/W2147725072","https://openalex.org/W2151260699","https://openalex.org/W2325296081","https://openalex.org/W2396686380","https://openalex.org/W2489773810","https://openalex.org/W2809172977","https://openalex.org/W2887677748","https://openalex.org/W2901381391","https://openalex.org/W3192199233","https://openalex.org/W3197830172","https://openalex.org/W4200367368","https://openalex.org/W4253215513","https://openalex.org/W6652036206","https://openalex.org/W6660349489","https://openalex.org/W6675248574"],"related_works":["https://openalex.org/W2955195711","https://openalex.org/W2354454611","https://openalex.org/W2993266126","https://openalex.org/W2392283887","https://openalex.org/W2351388597","https://openalex.org/W2939925694","https://openalex.org/W2829881200","https://openalex.org/W2184647741","https://openalex.org/W1974217798","https://openalex.org/W1990144832"],"abstract_inverted_index":{"The":[0,28,96],"quick":[1],"delivery":[2],"of":[3,31,35,46,61,77,91,119,129],"emergency":[4,132],"road":[5,133],"services":[6],"(ERS)":[7],"to":[8,80,88,105,114,148,168,171],"rescue":[9],"disabled":[10],"vehicles":[11],"is":[12,37],"a":[13,99],"significant":[14],"task":[15],"for":[16,41],"maintaining":[17],"the":[18,43,50,59,89,107,116,126,140,149,152,163,172],"meticulously":[19],"planned":[20],"logistics":[21],"and":[22,71,101,161],"transportation":[23],"network":[24],"in":[25,52,110,135],"modern":[26],"society.":[27],"location":[29,81],"optimization":[30,51,82,156],"service":[32,134],"base":[33],"shops":[34],"ERS":[36,47,54,112,120],"an":[38,123,145],"effective":[39],"strategy":[40],"minimizing":[42],"waiting":[44,117,164],"time":[45,118,165],"users.":[48,121],"For":[49],"real":[53,111],"situation,":[55],"we":[56,137],"must":[57],"consider":[58],"effects":[60],"various":[62,108],"uncertain":[63],"factors":[64,109],"such":[65,78],"as":[66],"trouble":[67],"situations,":[68],"shop":[69],"characteristics,":[70],"backup":[72],"service.":[73],"Additionally,":[74],"straightforward":[75],"incorporation":[76],"variables":[79],"problems":[83],"causes":[84],"computational":[85,159],"complexity":[86],"due":[87],"calculation":[90],"higher-order":[92],"nonlinear":[93],"discrete":[94],"optimization.":[95],"study":[97],"presents":[98],"novel":[100],"simple":[102],"analytical":[103],"framework":[104],"incorporate":[106],"situations":[113],"reduce":[115],"In":[122],"experiment":[124],"using":[125],"actual":[127],"records":[128],"Bridgestone":[130],"Corporation's":[131],"Japan,":[136],"demonstrate":[138],"that":[139],"proposed":[141],"method":[142],"successfully":[143],"yields":[144],"equivalent":[146],"result":[147],"solution":[150],"by":[151,166],"strict":[153],"expected":[154],"value":[155],"without":[157],"high":[158],"costs":[160],"reduces":[162],"up":[167],"27.0%":[169],"relative":[170],"conventional":[173],"method.":[174]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}