{"id":"https://openalex.org/W19044724","doi":null,"title":"Estimating Road Accidents of Turkey Based on Regression Analysis and Artificial Neural Network Approach","display_name":"Estimating Road Accidents of Turkey Based on Regression Analysis and Artificial Neural Network Approach","publication_year":2008,"publication_date":"2008-11-01","ids":{"openalex":"https://openalex.org/W19044724","mag":"19044724"},"language":"en","primary_location":{"id":"mag:19044724","doi":null,"is_oa":false,"landing_page_url":"https://www.researchgate.net/profile/Erdem_Dogan/publication/259501254_Estimating_Road_Accidents_of_Turkey_Based_on_Regression_Analysis_and_Artificial_Neural_Network_Approach/links/544e5aa50cf26dda08900cf9.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S2764509960","display_name":"Advances in transportation studies","issn_l":"1824-5463","issn":["1824-5463"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1","poland-40","russia-white-list-3","vabb-shw"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Advances in transportation studies","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5058120601","display_name":"Ali Pay\u0131dar Akg\u00fcng\u00f6r","orcid":"https://orcid.org/0000-0003-0669-5715","observed_orcids":["https://orcid.org/0000-0003-0669-5715"]},"institutions":[{"id":"https://openalex.org/I45642913","display_name":"K\u0131r\u0131kkale University","ror":"https://ror.org/01zhwwf82","country_code":"TR","type":"education","lineage":["https://openalex.org/I45642913"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ali Pay\u0131dar Akg\u00fcng\u00f6r","raw_affiliation_strings":["KIRIKKALE UN\u0130VERSITY"],"raw_orcid":"https://orcid.org/0000-0003-0669-5715","affiliations":[{"raw_affiliation_string":"KIRIKKALE UN\u0130VERSITY","institution_ids":["https://openalex.org/I45642913"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019037008","display_name":"Erdem Do\u011fan","orcid":"https://orcid.org/0000-0001-7802-641X","observed_orcids":["https://orcid.org/0000-0001-7802-641X"]},"institutions":[{"id":"https://openalex.org/I45642913","display_name":"K\u0131r\u0131kkale University","ror":"https://ror.org/01zhwwf82","country_code":"TR","type":"education","lineage":["https://openalex.org/I45642913"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Erdem Do\u011fan","raw_affiliation_strings":["KIRIKKALE UN\u0130VERSITY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KIRIKKALE UN\u0130VERSITY","institution_ids":["https://openalex.org/I45642913"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I45642913"],"apc_list":null,"apc_paid":null,"fwci":1.9487,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.85785455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":98},"biblio":{"volume":"16","issue":null,"first_page":"11","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9980000257492065,"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/T13527","display_name":"Road Transport and Highway Systems","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T12406","display_name":"IoT and GPS-based Vehicle Safety Systems","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/road-safety","display_name":"road safety","score":0.6209999918937683},{"id":"https://openalex.org/keywords/traffic-fatalities","display_name":"traffic fatalities","score":0.7149999737739563},{"id":"https://openalex.org/keywords/road-traffic-injuries","display_name":"road traffic injuries","score":0.8960000276565552},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.8379999995231628},{"id":"https://openalex.org/keywords/population-growth","display_name":"population growth","score":0.7450000047683716},{"id":"https://openalex.org/keywords/turkey","display_name":"Turkey","score":0.5249999761581421},{"id":"https://openalex.org/keywords/road-safety-strategy","display_name":"road safety strategy","score":0.5180000066757202}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6903701424598694},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5113784670829773},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5007054805755615},{"id":"https://openalex.org/C127598652","wikidata":"https://www.wikidata.org/wiki/Q558635","display_name":"Per capita","level":3,"score":0.4916022717952728},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4676484763622284},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4484696686267853},{"id":"https://openalex.org/C2910001868","wikidata":"https://www.wikidata.org/wiki/Q458","display_name":"European union","level":2,"score":0.4459715485572815},{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.43906092643737793},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3451048731803894},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.33072635531425476},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31705963611602783},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29160380363464355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1989545226097107},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.14196926355361938},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.07427060604095459},{"id":"https://openalex.org/C105639569","wikidata":"https://www.wikidata.org/wiki/Q582577","display_name":"Economic policy","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:19044724","doi":null,"is_oa":false,"landing_page_url":"https://www.researchgate.net/profile/Erdem_Dogan/publication/259501254_Estimating_Road_Accidents_of_Turkey_Based_on_Regression_Analysis_and_Artificial_Neural_Network_Approach/links/544e5aa50cf26dda08900cf9.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S2764509960","display_name":"Advances in transportation studies","issn_l":"1824-5463","issn":["1824-5463"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1","poland-40","russia-white-list-3","vabb-shw"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Advances in transportation studies","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.761900007724762,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"},{"score":0.4943999946117401,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"},{"score":0.46810001134872437,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W113527657","https://openalex.org/W1115627675","https://openalex.org/W1964527535","https://openalex.org/W1982857411","https://openalex.org/W2004302067","https://openalex.org/W2028976528","https://openalex.org/W2031748801","https://openalex.org/W3096716141"],"related_works":["https://openalex.org/W2053531352","https://openalex.org/W2142990304","https://openalex.org/W2906520792","https://openalex.org/W4200006005","https://openalex.org/W2340556095","https://openalex.org/W4412549714","https://openalex.org/W2075990178","https://openalex.org/W2111759790","https://openalex.org/W2254840455","https://openalex.org/W2740085440"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"study":[2],"proposes":[3],"two":[4,153,198],"new":[5],"analytical":[6,65,154],"models":[7,46,66,164],"and":[8,22,31,39,47,105,119,140,213,223,230],"an":[9,81],"Artificial":[10],"Neural":[11],"Network":[12],"(ANN)":[13],"model":[14,87,92,111,133,147],"to":[15,43,88,158,174,185,220,246],"estimate":[16],"the":[17,36,45,48,58,64,72,85,91,94,114,117,138,145,151,160,163,179,187,202,205,211,214,234,237,264,267,271],"number":[18,95,215,239],"of":[19,50,63,71,84,96,162,210,216,240,266],"accidents,":[20],"injuries":[21,101],"fatalities":[23,99],"in":[24,254],"Turkey":[25,182],"utilizing":[26],"historical":[27],"data":[28,34,51],"between":[29,35,228],"1986":[30,38,229],"2005.":[32],"The":[33,61,77,132,257],"years":[37],"2000":[40],"were":[41,54,108,122,135,195],"used":[42,123],"develop":[44],"rest":[49],"(i.e.,":[52],"2001-2005)":[53],"utilized":[55],"for":[56,165,270],"testing":[57],"developed":[59],"models.":[60,155],"first":[62,203],"is":[67,80,183,244],"a":[68,168,251],"modified":[69],"form":[70,83],"Smeed":[73],"accident":[74],"prediction":[75],"model.":[76],"second":[78,235],"one":[79],"adapted":[82],"Andreassen":[86],"Turkey.":[89],"In":[90,113,156,201,233],"development,":[93],"vehicles":[97,217,241],"(N),":[98],"(D),":[100],"(I),":[102],"accidents":[103],"(C),":[104],"population":[106,212],"(P)":[107],"taken":[109],"as":[110,124],"parameters.":[112],"ANN":[115,146],"model,":[116],"sigmoid":[118],"linear":[120],"functions":[121,126],"activation":[125],"with":[127,197],"feed":[128],"forward-back":[129],"proportion":[130],"algorithm.":[131],"results":[134,258],"compared":[136],"against":[137],"observations":[139],"it":[141],"was":[142,176],"found":[143],"that":[144,181],"performed":[148],"better":[149],"than":[150],"other":[152],"order":[157],"investigate":[159],"performance":[161],"future":[166],"estimations,":[167],"fifteen":[169,255],"year":[170],"period":[171],"from":[172,260],"2006":[173],"2020":[175],"employed.":[177],"Considering":[178],"fact":[180],"likely":[184],"enter":[186],"European":[188],"Union":[189],"by":[190],"2020,":[191],"road":[192,272],"safety":[193,273],"strategies":[194],"evaluated":[196],"possible":[199],"scenarios.":[200],"scenario,":[204,236],"annual":[206],"average":[207,238],"growth":[208,226],"rates":[209,227],"are":[218],"assumed":[219,245],"be":[221],"1.7%":[222],"7.5%":[224],"(average":[225],"2005)":[231],"respectively.":[232],"per":[242],"capita":[243],"reach":[247],"0.45":[248],"which":[249],"represents":[250],"three-fold":[252],"increase":[253],"years.":[256],"obtained":[259],"both":[261],"scenarios":[262],"reveal":[263],"suitability":[265],"current":[268],"methods":[269],"applications.":[274]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-08-08T07:41:36.138363","created_date":"2016-06-24T00:00:00"}
