{"id":"https://openalex.org/W7151448635","doi":"https://doi.org/10.48550/arxiv.2604.04775","title":"Community Driving-Safety Deterioration as a Push Factor for Public Endorsement of AI Driving Capability","display_name":"Community Driving-Safety Deterioration as a Push Factor for Public Endorsement of AI Driving Capability","publication_year":2026,"publication_date":"2026-04-06","ids":{"openalex":"https://openalex.org/W7151448635","doi":"https://doi.org/10.48550/arxiv.2604.04775"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.04775","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.04775","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.04775","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058550807","display_name":"Amir Rafe","orcid":"https://orcid.org/0000-0002-4089-2088"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rafe, Amir","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133125167","display_name":"Subasish Das","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Das, Subasish","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058550807"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.7753999829292297,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.7753999829292297,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.07989999651908875,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.03150000050663948,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"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/confirmatory-factor-analysis","display_name":"Confirmatory factor analysis","score":0.5805000066757202},{"id":"https://openalex.org/keywords/structural-equation-modeling","display_name":"Structural equation modeling","score":0.567300021648407},{"id":"https://openalex.org/keywords/mediation","display_name":"Mediation","score":0.5551000237464905},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4896000027656555},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4812999963760376},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4169999957084656},{"id":"https://openalex.org/keywords/confounding","display_name":"Confounding","score":0.3953000009059906},{"id":"https://openalex.org/keywords/moderated-mediation","display_name":"Moderated mediation","score":0.3944999873638153}],"concepts":[{"id":"https://openalex.org/C40722632","wikidata":"https://www.wikidata.org/wiki/Q5160137","display_name":"Confirmatory factor analysis","level":3,"score":0.5805000066757202},{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.567300021648407},{"id":"https://openalex.org/C179420905","wikidata":"https://www.wikidata.org/wiki/Q223871","display_name":"Mediation","level":2,"score":0.5551000237464905},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5288000106811523},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5062999725341797},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4896000027656555},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4812999963760376},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.4657000005245209},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4169999957084656},{"id":"https://openalex.org/C77350462","wikidata":"https://www.wikidata.org/wiki/Q1125472","display_name":"Confounding","level":2,"score":0.3953000009059906},{"id":"https://openalex.org/C24614281","wikidata":"https://www.wikidata.org/wiki/Q17086331","display_name":"Moderated mediation","level":2,"score":0.3944999873638153},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34619998931884766},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.3165999948978424},{"id":"https://openalex.org/C163355716","wikidata":"https://www.wikidata.org/wiki/Q2154783","display_name":"Risk perception","level":3,"score":0.30809998512268066},{"id":"https://openalex.org/C17923572","wikidata":"https://www.wikidata.org/wiki/Q7250160","display_name":"Propensity score matching","level":2,"score":0.30309998989105225},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.28619998693466187},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C610760","wikidata":"https://www.wikidata.org/wiki/Q1340706","display_name":"Endogeneity","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C6422946","wikidata":"https://www.wikidata.org/wiki/Q857354","display_name":"Panel data","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C188649462","wikidata":"https://www.wikidata.org/wiki/Q2246261","display_name":"Generalized least squares","level":3,"score":0.2542000114917755},{"id":"https://openalex.org/C10879293","wikidata":"https://www.wikidata.org/wiki/Q726474","display_name":"Factor analysis","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.04775","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.04775","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.04775","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.04775","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.48939430713653564,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Road":[0],"traffic":[1],"crashes":[2],"claim":[3],"approximately":[4],"1.19":[5],"million":[6],"lives":[7],"annually":[8],"worldwide,":[9],"and":[10,36,65,98,111,122,174,180],"human":[11,57],"error":[12],"accounts":[13],"for":[14],"the":[15,19],"vast":[16],"majority,":[17],"yet":[18,200],"autonomous":[20],"vehicle":[21],"acceptance":[22],"literature":[23],"models":[24],"adoption":[25],"almost":[26],"exclusively":[27],"through":[28],"technology-centered":[29],"pull":[30],"factors":[31],"such":[32],"as":[33],"perceived":[34,47],"usefulness":[35],"trust.":[37],"This":[38],"study":[39],"examines":[40],"a":[41,78,128,137,148,161,189,206],"moderated":[42,66],"mediation":[43],"model":[44],"in":[45],"which":[46,158],"community":[48,193],"driving-safety":[49,194],"concern":[50,195],"(PCSC)":[51],"predicts":[52],"evaluations":[53],"of":[54,165,183],"AI":[55,63,143,156,166,198,203],"versus":[56],"driving":[58,69,144,167,184],"capability,":[59],"mediated":[60],"by":[61,67],"Generalized":[62,155],"Orientation":[64],"personal":[68],"frequency.":[70,185],"Weighted":[71,94],"structural":[72],"equation":[73],"modeling":[74],"is":[75,159],"applied":[76],"to":[77],"nationally":[79],"representative":[80],"U.S.":[81],"probability":[82],"sample":[83],"from":[84],"Pew":[85],"Research":[86],"Center's":[87],"American":[88],"Trends":[89],"Panel":[90],"Wave":[91],"152,":[92],"using":[93],"Least":[95],"Squares":[96],"Mean":[97],"Variance":[99],"Adjusted":[100],"(WLSMV)-estimated":[101],"confirmatory":[102],"factor":[103],"analysis":[104],"on":[105,142],"ordinal":[106],"indicators,":[107],"bias-corrected":[108],"bootstrap":[109],"inference,":[110],"seven":[112],"robustness":[113],"checks":[114],"including":[115],"Imai":[116],"sensitivity":[117],"analysis,":[118],"E-value":[119],"confounding":[120],"thresholds,":[121],"propensity":[123],"score":[124],"matching.":[125],"Results":[126],"reveal":[127],"dual-pathway":[129],"mechanism":[130,191],"constituting":[131],"an":[132],"inconsistent":[133],"mediation:":[134],"PCSC":[135],"exerts":[136],"small":[138],"positive":[139,163],"direct":[140],"effect":[141],"evaluation,":[145],"consistent":[146],"with":[147],"domain-specific":[149,197],"push":[150],"interpretation,":[151],"while":[152],"simultaneously":[153],"suppressing":[154],"Orientation,":[157],"itself":[160],"strong":[162],"predictor":[164],"evaluation.":[168],"Conditional":[169],"indirect":[170],"effects":[171],"are":[172],"negative":[173],"statistically":[175],"significant":[176],"at":[177],"low,":[178],"mean,":[179],"high":[181],"levels":[182],"These":[186],"findings":[187],"establish":[188],"risk-spillover":[190],"whereby":[192],"promotes":[196],"endorsement":[199],"suppresses":[201],"domain-general":[202],"enthusiasm,":[204],"yielding":[205],"near-zero":[207],"net":[208],"total":[209],"effect.":[210]},"counts_by_year":[],"updated_date":"2026-04-08T06:07:18.267832","created_date":"2026-04-08T00:00:00"}
