{"id":"https://openalex.org/W4390616602","doi":"https://doi.org/10.1080/10494820.2023.2299998","title":"Assessing the efficacy of an interactive training method in deterring speeding behavior: a study based on the Unity 3D platform","display_name":"Assessing the efficacy of an interactive training method in deterring speeding behavior: a study based on the Unity 3D platform","publication_year":2024,"publication_date":"2024-01-05","ids":{"openalex":"https://openalex.org/W4390616602","doi":"https://doi.org/10.1080/10494820.2023.2299998"},"language":"en","primary_location":{"id":"doi:10.1080/10494820.2023.2299998","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10494820.2023.2299998","pdf_url":null,"source":{"id":"https://openalex.org/S90466346","display_name":"Interactive Learning Environments","issn_l":"1049-4820","issn":["1049-4820","1744-5191"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interactive Learning Environments","raw_type":"journal-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/A5104036918","display_name":"Yang Ding","orcid":"https://orcid.org/0009-0007-3123-3877"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Ding","raw_affiliation_strings":["Beijing University of Technology","Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009664267","display_name":"Xiaohua Zhao","orcid":"https://orcid.org/0000-0002-6383-0939"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Zhao","raw_affiliation_strings":["Beijing University of Technology","Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060576729","display_name":"Ying Yao","orcid":"https://orcid.org/0000-0002-9322-9386"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Yao","raw_affiliation_strings":["Beijing University of Technology","Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025107751","display_name":"Chenxi He","orcid":"https://orcid.org/0000-0001-9421-6707"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxi He","raw_affiliation_strings":["Beijing University of Technology","Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101634191","display_name":"Rui Chai","orcid":"https://orcid.org/0000-0002-9648-1018"},"institutions":[{"id":"https://openalex.org/I4210139553","display_name":"Research Institute of Highway","ror":"https://ror.org/0335kqk33","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127216","https://openalex.org/I4210139553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Chai","raw_affiliation_strings":["Research Institute for Road Safety of MPS","Research Institute for Road Safety of MPS, Beijing, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute for Road Safety of MPS","institution_ids":[]},{"raw_affiliation_string":"Research Institute for Road Safety of MPS, Beijing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I4210139553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100435127","display_name":"Shuo Liu","orcid":"https://orcid.org/0000-0003-4241-3922"},"institutions":[{"id":"https://openalex.org/I4210153772","display_name":"Institute of Occupational Safety","ror":"https://ror.org/05952x620","country_code":"SI","type":"facility","lineage":["https://openalex.org/I4210153772"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Shuo Liu","raw_affiliation_strings":["Jing'an Driver Safety and Attainment Research Institute of Beijing","Jing'an Driver Safety and Attainment Research Institute of Beijing, Beijing, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jing'an Driver Safety and Attainment Research Institute of Beijing","institution_ids":["https://openalex.org/I4210153772"]},{"raw_affiliation_string":"Jing'an Driver Safety and Attainment Research Institute of Beijing, Beijing, People\u2019s Republic of China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060576729"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00294626,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":"10","first_page":"7063","last_page":"7085"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9995999932289124,"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":0.9995999932289124,"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/T10298","display_name":"Urban Transport and Accessibility","score":0.9939000010490417,"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/T10524","display_name":"Traffic control and management","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/test","display_name":"Test (biology)","score":0.5915077924728394},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5419328212738037},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49648720026016235},{"id":"https://openalex.org/keywords/analysis-of-variance","display_name":"Analysis of variance","score":0.46497368812561035},{"id":"https://openalex.org/keywords/applied-psychology","display_name":"Applied psychology","score":0.4453519284725189},{"id":"https://openalex.org/keywords/repeated-measures-design","display_name":"Repeated measures design","score":0.4336310625076294},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3981833755970001},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.36414092779159546},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22024217247962952},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15577074885368347},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1469341516494751}],"concepts":[{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.5915077924728394},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5419328212738037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49648720026016235},{"id":"https://openalex.org/C99476002","wikidata":"https://www.wikidata.org/wiki/Q42297","display_name":"Analysis of variance","level":2,"score":0.46497368812561035},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.4453519284725189},{"id":"https://openalex.org/C102959455","wikidata":"https://www.wikidata.org/wiki/Q7313954","display_name":"Repeated measures design","level":2,"score":0.4336310625076294},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3981833755970001},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.36414092779159546},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22024217247962952},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15577074885368347},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1469341516494751},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10494820.2023.2299998","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10494820.2023.2299998","pdf_url":null,"source":{"id":"https://openalex.org/S90466346","display_name":"Interactive Learning Environments","issn_l":"1049-4820","issn":["1049-4820","1744-5191"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interactive Learning Environments","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6100000143051147}],"awards":[{"id":"https://openalex.org/G5571559445","display_name":"\u6fc0\u8fdb\u9a7e\u9a76\u884c\u4e3a\u6570\u636e\u9a71\u52a8\u7684\u4ea4\u901a\u5b89\u5168\u98ce\u9669\u8bc6\u522b\u3001\u6f14\u5316\u53ca\u81f4\u56e0\u7814\u7a76","funder_award_id":"52072012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W344961603","https://openalex.org/W628246493","https://openalex.org/W640789720","https://openalex.org/W1503342987","https://openalex.org/W1976303937","https://openalex.org/W1983966847","https://openalex.org/W1988910281","https://openalex.org/W1988930537","https://openalex.org/W1990414749","https://openalex.org/W2004670315","https://openalex.org/W2005062066","https://openalex.org/W2020627736","https://openalex.org/W2031492219","https://openalex.org/W2035512390","https://openalex.org/W2046126785","https://openalex.org/W2063524435","https://openalex.org/W2066532904","https://openalex.org/W2067998888","https://openalex.org/W2069864026","https://openalex.org/W2111184453","https://openalex.org/W2132203277","https://openalex.org/W2136978614","https://openalex.org/W2142723114","https://openalex.org/W2338914050","https://openalex.org/W2486185063","https://openalex.org/W2550828521","https://openalex.org/W2582675548","https://openalex.org/W2619091358","https://openalex.org/W2782851646","https://openalex.org/W2790065667","https://openalex.org/W2885667522","https://openalex.org/W2888431804","https://openalex.org/W2898097706","https://openalex.org/W2937190345","https://openalex.org/W2962891329","https://openalex.org/W3004179200","https://openalex.org/W3027505491","https://openalex.org/W3085279808","https://openalex.org/W3097388447","https://openalex.org/W3114019506","https://openalex.org/W3137814255","https://openalex.org/W4230399697","https://openalex.org/W4237513721"],"related_works":["https://openalex.org/W1511459766","https://openalex.org/W4246770901","https://openalex.org/W2970615746","https://openalex.org/W4239222608","https://openalex.org/W4387918109","https://openalex.org/W2163591924","https://openalex.org/W2079488746","https://openalex.org/W4240703839","https://openalex.org/W2013536513","https://openalex.org/W3046189170"],"abstract_inverted_index":{"The":[0,101,179],"objective":[1],"of":[2,64,83,93,107,126,148,159,165],"this":[3,50],"study":[4,51],"is":[5],"to":[6,19,25,43,62,88,96,117,188,203],"propose":[7],"an":[8],"interactive":[9,109,146],"training":[10,28,69,75,110,185,197],"method":[11,29,111,186,198],"based":[12,112,173],"on":[13,39,113,152,174],"the":[14,40,73,90,105,108,124,127,132,145,149,153,157,163,170,175,183,194,219,222,225,234],"Unity":[15,114],"3D":[16,115],"platform":[17,116],"and":[18,34,59,72,131,140,144,161,169,206,213,233],"evaluate":[20],"its":[21],"effectiveness":[22,106],"in":[23,30],"comparison":[24],"a":[26,79],"video-based":[27,74],"curbing":[31],"speeding":[32,97,160,167,204],"behavior":[33,48,98,121,205],"promoting":[35],"road":[36],"safety.":[37],"Based":[38],"attributes":[41],"unique":[42],"drivers":[44,54],"with":[45,55],"Type":[46,56],"A":[47,57],"patterns,":[49],"selected":[52],"36":[53],"personality":[58],"assigned":[60],"them":[61],"one":[63],"two":[65,150],"groups":[66,128],"(the":[67,129],"Unity-based":[68,184],"group,":[70,76],"UTG;":[71],"VTG).":[77],"Moreover,":[78],"test":[80,134,154],"questionnaire":[81,155],"consisting":[82],"20":[84],"items":[85],"was":[86],"designed":[87],"reveal":[89],"drivers\u2019":[91],"mastery":[92],"knowledge":[94,201],"related":[95,202],"through":[99],"training.":[100],"research":[102],"preliminarily":[103],"analyzes":[104],"improve":[118],"speed":[119,172,208],"management":[120,209],"by":[122],"assessing":[123],"effects":[125,147],"UTG":[130,220],"VTG),":[133],"sessions":[135,229,237],"(baseline,":[136],"30":[137,226],"min":[138,227],"post-training,":[139],"three":[141],"days":[142],"post-training),":[143],"factors":[151],"score,":[156],"frequency":[158],"(FS),":[162],"percentage":[164],"time":[166],"(PTS),":[168],"mean":[171],"two-way":[176],"repeated-measures":[177],"ANOVA.":[178],"results":[180],"demonstrated":[181],"that":[182],"was,":[187],"some":[189],"extent,":[190],"more":[191],"effective":[192],"than":[193,221],"passive":[195],"video":[196],"at":[199,224],"mastering":[200],"improving":[207],"behavior.":[210],"Specifically,":[211],"FS":[212],"PTS":[214],"were":[215],"significantly":[216],"lower":[217],"for":[218],"VTG":[223],"post-training":[228,236],"(p":[230,238],"<":[231,239],"0.01)":[232],"three-day":[235],"0.01).":[240]},"counts_by_year":[],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}
