{"id":"https://openalex.org/W2465573642","doi":"https://doi.org/10.1109/jbhi.2015.2443799","title":"Demand Forecast Using Data Analytics for the Preallocation of Ambulances","display_name":"Demand Forecast Using Data Analytics for the Preallocation of Ambulances","publication_year":2015,"publication_date":"2015-06-17","ids":{"openalex":"https://openalex.org/W2465573642","doi":"https://doi.org/10.1109/jbhi.2015.2443799","mag":"2465573642","pmid":"https://pubmed.ncbi.nlm.nih.gov/26087507"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2015.2443799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2015.2443799","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5032665939","display_name":"Albert Y. Chen","orcid":"https://orcid.org/0000-0001-6702-9834"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Albert Y. Chen","raw_affiliation_strings":["Department of Civil Engineering, National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071525669","display_name":"Tsung-Yu Lu","orcid":"https://orcid.org/0000-0001-7110-3937"},"institutions":[{"id":"https://openalex.org/I1324288179","display_name":"Ministry of Transportation and Communications","ror":"https://ror.org/02pnc0262","country_code":"TW","type":"government","lineage":["https://openalex.org/I1324288179","https://openalex.org/I4405257903"]},{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsung-Yu Lu","raw_affiliation_strings":["Department of Transportation Engineering, National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Transportation Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I1324288179","https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081805441","display_name":"Matthew Huei\u2010Ming","orcid":"https://orcid.org/0000-0002-4388-9984"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Matthew Huei-Ming Ma","raw_affiliation_strings":["Department of Emergency Medicine, National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Emergency Medicine, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022540715","display_name":"Wei\u2010Zen Sun","orcid":"https://orcid.org/0000-0001-8543-2600"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Zen Sun","raw_affiliation_strings":["Emergency Medical Service Research Center, National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Emergency Medical Service Research Center, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032665939"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":7.034,"has_fulltext":false,"cited_by_count":80,"citation_normalized_percentile":{"value":0.96730345,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"20","issue":"4","first_page":"1178","last_page":"1187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12394","display_name":"Insurance and Financial Risk Management","score":0.9517999887466431,"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"}},"topics":[{"id":"https://openalex.org/T12394","display_name":"Insurance and Financial Risk Management","score":0.9517999887466431,"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"}},{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9496999979019165,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11095","display_name":"Emergency and Acute Care Studies","score":0.9445000290870667,"subfield":{"id":"https://openalex.org/subfields/2711","display_name":"Emergency Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6744461059570312},{"id":"https://openalex.org/keywords/geographic-information-system","display_name":"Geographic information system","score":0.5986698865890503},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5119989514350891},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5111280083656311},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.5008690357208252},{"id":"https://openalex.org/keywords/emergency-medical-services","display_name":"Emergency medical services","score":0.4990699291229248},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.4413127601146698},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.43673136830329895},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43390533328056335},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4163597524166107},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41317492723464966},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.30383771657943726},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22591206431388855},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2089555263519287},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1392028033733368},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09728237986564636},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.09658107161521912}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6744461059570312},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.5986698865890503},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5119989514350891},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5111280083656311},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.5008690357208252},{"id":"https://openalex.org/C545288138","wikidata":"https://www.wikidata.org/wiki/Q860447","display_name":"Emergency medical services","level":2,"score":0.4990699291229248},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.4413127601146698},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.43673136830329895},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43390533328056335},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4163597524166107},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41317492723464966},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.30383771657943726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22591206431388855},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2089555263519287},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1392028033733368},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09728237986564636},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.09658107161521912},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000552","descriptor_name":"Ambulances","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D000552","descriptor_name":"Ambulances","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D000552","descriptor_name":"Ambulances","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D004632","descriptor_name":"Emergency Medical Services","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004632","descriptor_name":"Emergency Medical Services","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004632","descriptor_name":"Emergency Medical Services","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D040362","descriptor_name":"Geographic Information Systems","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D040362","descriptor_name":"Geographic Information Systems","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D040362","descriptor_name":"Geographic Information Systems","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2015.2443799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2015.2443799","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:26087507","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26087507","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1670432045","display_name":null,"funder_award_id":"102-2219-E-002-023","funder_id":"https://openalex.org/F4320321040","funder_display_name":"National Science Council"},{"id":"https://openalex.org/G4653076518","display_name":null,"funder_award_id":"102-2221-E-002-119","funder_id":"https://openalex.org/F4320321040","funder_display_name":"National Science Council"}],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320328613","display_name":"Taipei City Government","ror":"https://ror.org/02eqw3q87"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W94266902","https://openalex.org/W156499095","https://openalex.org/W563847786","https://openalex.org/W637484538","https://openalex.org/W1515479372","https://openalex.org/W1586335931","https://openalex.org/W1663973292","https://openalex.org/W1980392042","https://openalex.org/W1980559464","https://openalex.org/W1989047111","https://openalex.org/W1990113888","https://openalex.org/W2009086942","https://openalex.org/W2027363516","https://openalex.org/W2033106551","https://openalex.org/W2042063641","https://openalex.org/W2042791033","https://openalex.org/W2046832318","https://openalex.org/W2057482568","https://openalex.org/W2070076962","https://openalex.org/W2082031578","https://openalex.org/W2123565895","https://openalex.org/W2125251293","https://openalex.org/W2126602679","https://openalex.org/W2134826593","https://openalex.org/W2150119502","https://openalex.org/W2153635508","https://openalex.org/W2156909104","https://openalex.org/W2291445757","https://openalex.org/W2412728590","https://openalex.org/W6715379581"],"related_works":["https://openalex.org/W2598381895","https://openalex.org/W1553072606","https://openalex.org/W4312895206","https://openalex.org/W2137040885","https://openalex.org/W2560881110","https://openalex.org/W2475694835","https://openalex.org/W3157401706","https://openalex.org/W2987980409","https://openalex.org/W2208359343","https://openalex.org/W1974733141"],"abstract_inverted_index":{"The":[0,29,97,135,153],"objective":[1],"of":[2,23,46,92,111,150,162],"prehospital":[3,93,126],"emergency":[4,94],"medical":[5,95],"services":[6],"(EMSs)":[7],"is":[8,34,55,116,167,170],"to":[9,39,189,192],"have":[10,129],"a":[11,103,171],"short":[12],"response":[13],"time.":[14],"By":[15],"increasing":[16],"the":[17,20,43,69,90,109,119,148,163,179,183,193],"operational":[18],"efficiency,":[19],"survival":[21],"rate":[22],"patients":[24],"could":[25,105],"potentially":[26],"be":[27,106,190],"increased.":[28],"geographic":[30],"information":[31],"system":[32],"(GIS)":[33],"introduced":[35],"in":[36,57,121],"this":[37],"study":[38,115],"manage":[40],"and":[41,49,72,85],"visualize":[42],"spatial":[44,70],"distribution":[45],"demand":[47,165],"data":[48,62,128],"forecasting":[50,91],"results.":[51],"A":[52,113],"flexible":[53],"model":[54,136],"implemented":[56],"GIS,":[58],"through":[59],"which":[60,169],"training":[61],"are":[63],"prepared":[64],"with":[65,143],"user-desired":[66],"sizes":[67],"for":[68,89,108,118,132,147],"grid":[71],"discretized":[73],"temporal":[74],"steps.":[75],"We":[76],"applied":[77,191],"moving":[78],"average,":[79],"artificial":[80],"neural":[81],"network,":[82],"sinusoidal":[83],"regression,":[84],"support":[86],"vector":[87],"regression":[88],"demand.":[96],"results":[98],"from":[99],"these":[100],"approaches,":[101],"as":[102],"reference,":[104],"used":[107],"preallocation":[110],"ambulances.":[112],"case":[114],"conducted":[117],"EMS":[120,127,164],"New":[122],"Taipei":[123],"City,":[124],"where":[125],"been":[130],"collected":[131],"three":[133],"years.":[134],"selection":[137],"process":[138],"has":[139,186],"chosen":[140],"different":[141,144,151],"models":[142],"input":[145],"features":[146],"forecast":[149,166,173],"areas.":[152],"best":[154],"daily":[155],"mean":[156],"absolute":[157],"percentage":[158],"error":[159],"during":[160],"testing":[161],"23.01%,":[168],"reasonable":[172],"based":[174],"on":[175],"Lewis'":[176],"definition.":[177],"With":[178],"acceptable":[180],"prediction":[181],"performance,":[182],"proposed":[184],"approach":[185],"its":[187],"potential":[188],"current":[194],"practice.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}