{"id":"https://openalex.org/W2431917568","doi":"https://doi.org/10.1145/2835596.2835598","title":"Evacuation shelter and route selection based on multi-objective optimization approach","display_name":"Evacuation shelter and route selection based on multi-objective optimization approach","publication_year":2015,"publication_date":"2015-11-03","ids":{"openalex":"https://openalex.org/W2431917568","doi":"https://doi.org/10.1145/2835596.2835598","mag":"2431917568"},"language":"en","primary_location":{"id":"doi:10.1145/2835596.2835598","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2835596.2835598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management","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/A5100405781","display_name":"Ping Zhang","orcid":"https://orcid.org/0000-0001-9163-6191"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ping Zhang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100626322","display_name":"Hui Zhang","orcid":"https://orcid.org/0000-0003-3703-9657"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014798583","display_name":"Danhuai Guo","orcid":"https://orcid.org/0000-0002-9131-6363"},"institutions":[{"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":"Danhuai Guo","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100405781"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.6862,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.88982186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9983999729156494,"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/T10298","display_name":"Urban Transport and Accessibility","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/safer","display_name":"SAFER","score":0.7893241047859192},{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.7248225212097168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6017153859138489},{"id":"https://openalex.org/keywords/shortest-path-problem","display_name":"Shortest path problem","score":0.5675625801086426},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.5112514495849609},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4658665657043457},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4653542637825012},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.45219501852989197},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4411044418811798},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.43573668599128723},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.42983952164649963},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.373515784740448},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1925298571586609},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.18338057398796082},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18278098106384277},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16248315572738647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15885567665100098}],"concepts":[{"id":"https://openalex.org/C2776654903","wikidata":"https://www.wikidata.org/wiki/Q2601463","display_name":"SAFER","level":2,"score":0.7893241047859192},{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.7248225212097168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6017153859138489},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.5675625801086426},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.5112514495849609},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4658665657043457},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4653542637825012},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.45219501852989197},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4411044418811798},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.43573668599128723},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.42983952164649963},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.373515784740448},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1925298571586609},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.18338057398796082},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18278098106384277},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16248315572738647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15885567665100098},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2835596.2835598","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2835596.2835598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1530419379","https://openalex.org/W1554612496","https://openalex.org/W1556758363","https://openalex.org/W1987806858","https://openalex.org/W1996374865","https://openalex.org/W2000143447","https://openalex.org/W2001596047","https://openalex.org/W2019833157","https://openalex.org/W2040061501","https://openalex.org/W2040158707","https://openalex.org/W2057656582","https://openalex.org/W2064088980","https://openalex.org/W2073969506","https://openalex.org/W2083769557","https://openalex.org/W2087047146","https://openalex.org/W2100378013","https://openalex.org/W2110238683","https://openalex.org/W2125674291","https://openalex.org/W2128389668","https://openalex.org/W2129706155","https://openalex.org/W2139452699","https://openalex.org/W2170933520","https://openalex.org/W2285445793","https://openalex.org/W2462365036","https://openalex.org/W2581872474","https://openalex.org/W4242502692","https://openalex.org/W4246596131","https://openalex.org/W4248841288","https://openalex.org/W4388967267"],"related_works":["https://openalex.org/W2027510520","https://openalex.org/W2264713136","https://openalex.org/W2368052072","https://openalex.org/W2381194467","https://openalex.org/W2392336591","https://openalex.org/W2216673692","https://openalex.org/W2302062368","https://openalex.org/W656249477","https://openalex.org/W2360625172","https://openalex.org/W2370164433"],"abstract_inverted_index":{"Evacuation":[0],"shelter":[1,49],"and":[2,45,51,83,117],"route":[3,81,104],"selection":[4],"are":[5,86,120],"indispensable":[6],"parts":[7],"of":[8],"emergency":[9],"planning.":[10],"An":[11],"efficient":[12],"plan":[13],"can":[14],"effectively":[15],"evacuate":[16],"people":[17],"from":[18],"a":[19,23,37,63,90,101,111],"dangerous":[20],"place":[21,113],"to":[22,30,47,88,99,107,110],"safer":[24,112],"location.":[25],"Meanwhile,":[26],"it":[27],"is":[28,60,74,97],"crucial":[29],"improve":[31],"risk":[32,91],"management.":[33],"This":[34],"article":[35],"presents":[36],"multi-objective":[38],"optimization":[39],"algorithm":[40,59,96],"based":[41],"on":[42],"social":[43,55,118],"media":[44],"GIS":[46],"optimize":[48],"usage":[50],"personnel":[52],"distribution":[53,85],"considering":[54],"relationship.":[56],"The":[57,72],"proposed":[58],"examined":[61],"using":[62],"case":[64],"study":[65],"for":[66],"the":[67,77,94],"Zhongguancun":[68],"district":[69,73],"in":[70,105,124],"Beijing.":[71],"modeled":[75],"by":[76],"graph":[78],"theory.":[79],"Traffic":[80],"data":[82],"population":[84],"synthesized":[87],"form":[89],"map.":[92],"Furthermore,":[93],"Floyd-Warshall":[95],"adopted":[98],"find":[100],"shortest":[102],"path":[103],"order":[106],"relocate":[108],"evacuees":[109],"effectively.":[114],"Efficiency,":[115],"fairness":[116],"relation":[119],"taken":[121],"into":[122],"consideration":[123],"this":[125],"context.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
