WKP|Q52382436

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Leader		00000nz a2200037n 45 0
001		WKP\|Q52382436 (VIAF cluster) (Authority/Source Record)
003		WKP
005		20241020233025.0
008		241020nneanz\|\|abbn n and d
035		‎‡a (WKP)Q52382436‏
024		‎‡a 0000-0002-9482-8874‏ ‎‡2 orcid‏
035		‎‡a (OCoLC)Q52382436‏
100	0	‎‡a Francisco Alonso‏ ‎‡9 ast‏ ‎‡9 es‏ ‎‡9 sl‏
375		‎‡a 1‏ ‎‡2 iso5218‏
400	0	‎‡a Francisco Alonso‏ ‎‡c researcher ORCID: 0000-0002-9482-8874‏ ‎‡9 en‏
400	0	‎‡a Francisco Alonso‏ ‎‡c wetenschapper‏ ‎‡9 nl‏
670		‎‡a Author's A European study on alcohol and drug use among young drivers: the TEND by Night study design and methodology‏
670		‎‡a Author's Behavioral Health at School: Do Three Competences in Road Safety Education Impact the Protective Road Behaviors of Spanish Children?‏
670		‎‡a Author's Commuting accidents of Spanish professional drivers: when occupational risk exceeds the workplace‏
670		‎‡a Author's Correlation between driving-related skill and alcohol use in young-adults from six European countries: the TEN-D by Night Project‏
670		‎‡a Author's Could Technology and Intelligent Transport Systems Help Improve Mobility in an Emerging Country? Challenges, Opportunities, Gaps and Other Evidence from the Caribbean‏
670		‎‡a Author's Distraction of cyclists: how does it influence their risky behaviors and traffic crashes?‏
670		‎‡a Author's Does gender really matter? A structural equation model to explain risky and positive cycling behaviors‏
670		‎‡a Author's Driving under the influence of alcohol: frequency, reasons, perceived risk and punishment.‏
670		‎‡a Author's Effect of Road Safety Education on Road Risky Behaviors of Spanish Children and Adolescents: Findings from a National Study‏
670		‎‡a Author's Importance of Social- and Health-Related Problems: Do Spaniards Give Them the Significance They Actually Deserve?‏
670		‎‡a Author's Multidimensional prediction of work traffic crashes among Spanish professional drivers in cargo and passenger transportation‏
670		‎‡a Author's Psychotropic drugs and driving: prevalence and types‏
670		‎‡a Author's Trait driving anger and driving styles among Colombian professional drivers‏
670		‎‡a Author's When age means safety: Data to assess trends and differences on rule knowledge, risk perception, aberrant and positive road behaviors, and traffic crashes of cyclists‏
670		‎‡a Author's Work Environment, Stress, and Driving Anger: A Structural Equation Model for Predicting Traffic Sanctions of Public Transport Drivers.‏
670		‎‡a Author's Working Conditions, Job Strain, and Traffic Safety among Three Groups of Public Transport Drivers‏
909		‎‡a (orcid) 0000000294828874‏ ‎‡9 1‏
919		‎‡a couldtechnologyandintelligenttransportsystemshelpimprovemobilityinanemergingcountrychallengesopportunitiesgapsandotherevidencefromthecaribbean‏ ‎‡A Could Technology and Intelligent Transport Systems Help Improve Mobility in an Emerging Country? Challenges, Opportunities, Gaps and Other Evidence from the Caribbean‏ ‎‡9 1‏
919		‎‡a commutingaccidentsofspanishprofessionaldriverswhenoccupationalriskexceedstheworkplace‏ ‎‡A Commuting accidents of Spanish professional drivers: when occupational risk exceeds the workplace‏ ‎‡9 1‏
919		‎‡a behavioralhealthatschooldo3competencesinroadsafetyeducationimpacttheprotectiveroadbehaviorsofspanishchildren‏ ‎‡A Behavioral Health at School: Do Three Competences in Road Safety Education Impact the Protective Road Behaviors of Spanish Children?‏ ‎‡9 1‏
919		‎‡a europeanstudyonalcoholanddruguseamongyoungdriversthetendbynightstudydesignandmethodology‏ ‎‡A A European study on alcohol and drug use among young drivers: the TEND by Night study design and methodology‏ ‎‡9 1‏
919		‎‡a correlationbetweendrivingrelatedskillandalcoholuseinyoungadultsfrom6europeancountriesthe10500bynightproject‏ ‎‡A Correlation between driving-related skill and alcohol use in young-adults from six European countries: the TEN-D by Night Project‏ ‎‡9 1‏
919		‎‡a workingconditionsjobstrainandtrafficsafetyamong3groupsofpublictransportdrivers‏ ‎‡A Working Conditions, Job Strain, and Traffic Safety among Three Groups of Public Transport Drivers‏ ‎‡9 1‏
919		‎‡a workenvironmentstressanddrivingangerastructuralequationmodelforpredictingtrafficsanctionsofpublictransportdrivers‏ ‎‡A Work Environment, Stress, and Driving Anger: A Structural Equation Model for Predicting Traffic Sanctions of Public Transport Drivers.‏ ‎‡9 1‏
919		‎‡a whenagemeanssafetydatatoassesstrendsanddifferencesonruleknowledgeriskperceptionaberrantandpositiveroadbehaviorsandtrafficcrashesofcyclists‏ ‎‡A When age means safety: Data to assess trends and differences on rule knowledge, risk perception, aberrant and positive road behaviors, and traffic crashes of cyclists‏ ‎‡9 1‏
919		‎‡a traitdrivingangeranddrivingstylesamongcolombianprofessionaldrivers‏ ‎‡A Trait driving anger and driving styles among Colombian professional drivers‏ ‎‡9 1‏
919		‎‡a psychotropicdrugsanddrivingprevalenceandtypes‏ ‎‡A Psychotropic drugs and driving: prevalence and types‏ ‎‡9 1‏
919		‎‡a multidimensionalpredictionofworktrafficcrashesamongspanishprofessionaldriversincargoandpassengertransportation‏ ‎‡A Multidimensional prediction of work traffic crashes among Spanish professional drivers in cargo and passenger transportation‏ ‎‡9 1‏
919		‎‡a importanceofsocialandhealthrelatedproblemsdospaniardsgivethemthesignificancetheyactuallydeserve‏ ‎‡A Importance of Social- and Health-Related Problems: Do Spaniards Give Them the Significance They Actually Deserve?‏ ‎‡9 1‏
919		‎‡a effectofroadsafetyeducationonroadriskybehaviorsofspanishchildrenandadolescentsfindingsfromanationalstudy‏ ‎‡A Effect of Road Safety Education on Road Risky Behaviors of Spanish Children and Adolescents: Findings from a National Study‏ ‎‡9 1‏
919		‎‡a drivingundertheinfluenceofalcoholfrequencyreasonsperceivedriskandpunishment‏ ‎‡A Driving under the influence of alcohol: frequency, reasons, perceived risk and punishment.‏ ‎‡9 1‏
919		‎‡a doesgenderreallymatterastructuralequationmodeltoexplainriskyandpositivecyclingbehaviors‏ ‎‡A Does gender really matter? A structural equation model to explain risky and positive cycling behaviors‏ ‎‡9 1‏
919		‎‡a distractionofcyclistshowdoesitinfluencetheirriskybehaviorsandtrafficcrashes‏ ‎‡A Distraction of cyclists: how does it influence their risky behaviors and traffic crashes?‏ ‎‡9 1‏
946		‎‡a b‏ ‎‡9 1‏
996		‎‡2 BNE\|XX922442‏
996		‎‡2 BNF\|12472142‏
996		‎‡2 BNE\|XX833005‏
996		‎‡2 BNE\|XX1087964‏
996		‎‡2 DNB\|132395916‏
996		‎‡2 SUDOC\|07939955X‏
996		‎‡2 BNE\|XX875121‏
996		‎‡2 BNE\|XX824342‏
996		‎‡2 ISNI\|0000000071212570‏
996		‎‡2 ISNI\|0000000101134199‏
996		‎‡2 BNE\|XX4937569‏
996		‎‡2 BNE\|XX5395705‏
996		‎‡2 BNE\|XX1316579‏
996		‎‡2 BNC\|981058521481906706‏
996		‎‡2 ISNI\|0000000060031774‏
996		‎‡2 LC\|n 2001084237‏
996		‎‡2 BNC\|981061104237606706‏
996		‎‡2 BNE\|XX1706573‏
996		‎‡2 ISNI\|0000000081078678‏
996		‎‡2 BNE\|XX1157241‏
996		‎‡2 LC\|n 80071630‏
996		‎‡2 BNCHL\|10000000000000000798060‏
996		‎‡2 ISNI\|0000000060104910‏
996		‎‡2 ISNI\|0000000511631454‏
996		‎‡2 LC\|no2010129644‏
996		‎‡2 ISNI\|0000000059985968‏
996		‎‡2 DNB\|1036971961‏
996		‎‡2 BNF\|13816906‏
996		‎‡2 RERO\|A016612261‏
996		‎‡2 PTBNP\|1441547‏
996		‎‡2 DNB\|1296843610‏
996		‎‡2 ISNI\|0000000059354621‏
996		‎‡2 BNE\|XX6183450‏
996		‎‡2 NII\|DA08158122‏
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996		‎‡2 NKC\|hka2011634538‏
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996		‎‡2 BNE\|XX4956089‏
996		‎‡2 BNC\|981058517531606706‏
996		‎‡2 BNC\|981060175611706706‏
996		‎‡2 BNE\|XX1181258‏
996		‎‡2 ISNI\|0000000115961232‏
996		‎‡2 JPG\|500226788‏
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996		‎‡2 BNE\|XX836902‏
996		‎‡2 BNE\|XX1097262‏
996		‎‡2 ISNI\|0000000076901746‏
996		‎‡2 BAV\|495_372890‏
996		‎‡2 ISNI\|0000000059217563‏
996		‎‡2 J9U\|987007315350205171‏
996		‎‡2 BNE\|XX1704403‏
996		‎‡2 LC\|n 84029708‏
996		‎‡2 BNC\|981058509097906706‏
996		‎‡2 NUKAT\|n 2017199209‏
996		‎‡2 NSK\|000263767‏
996		‎‡2 LC\|ns2024000004‏
996		‎‡2 NTA\|119247518‏
996		‎‡2 BNE\|XX6147477‏
996		‎‡2 NTA\|071438874‏
996		‎‡2 ISNI\|0000000060997771‏
996		‎‡2 BNE\|XX1168156‏
996		‎‡2 BNE\|XX934488‏
996		‎‡2 DNB\|1063654874‏
996		‎‡2 BNF\|18011634‏
996		‎‡2 BNE\|XX1037996‏
996		‎‡2 PLWABN\|9810605192105606‏
996		‎‡2 ISNI\|0000000107540235‏
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996		‎‡2 BNE\|XX1551925‏
996		‎‡2 BNE\|XX933445‏
996		‎‡2 LC\|ns2014000482‏
996		‎‡2 BNC\|981061008965506706‏
996		‎‡2 SUDOC\|190635991‏
996		‎‡2 ICCU\|SBNV045265‏
996		‎‡2 BNE\|XX1067540‏
996		‎‡2 KRNLK\|KAC201009916‏
996		‎‡2 SUDOC\|165488972‏
996		‎‡2 BNE\|XX1360782‏
996		‎‡2 ISNI\|0000000501520128‏
996		‎‡2 BNE\|XX834430‏
996		‎‡2 NTA\|307586189‏
996		‎‡2 DE633\|pe50054667‏
996		‎‡2 ISNI\|0000000398203094‏
996		‎‡2 NII\|DA05573310‏
996		‎‡2 BNE\|XX6365048‏
996		‎‡2 BNC\|981058508416106706‏
996		‎‡2 ISNI\|0000000443517907‏
996		‎‡2 BNE\|XX4850628‏
996		‎‡2 BNC\|981058518735406706‏
996		‎‡2 ISNI\|0000000060613475‏
996		‎‡2 LC\|n 2019051222‏
996		‎‡2 BNE\|XX4901795‏
996		‎‡2 ISNI\|0000000370311421‏
996		‎‡2 SUDOC\|268595240‏
996		‎‡2 BNE\|XX1667130‏
996		‎‡2 DNB\|105715993X‏
996		‎‡2 BNE\|XX1101376‏
996		‎‡2 SUDOC\|188114041‏
996		‎‡2 BNE\|XX1770628‏
996		‎‡2 BNE\|XX1265527‏
996		‎‡2 SUDOC\|162355378‏
996		‎‡2 BNE\|XX953856‏
996		‎‡2 ISNI\|0000000060307371‏
996		‎‡2 PTBNP\|1778602‏
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996		‎‡2 DNB\|106069591X‏
996		‎‡2 BNE\|XX1279074‏
996		‎‡2 BNE\|XX1000772‏
996		‎‡2 NYNYRILM\|218856‏
996		‎‡2 ISNI\|000000005935228X‏
996		‎‡2 CAOONL\|ncf11456874‏
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996		‎‡2 ISNI\|0000000083591416‏
996		‎‡2 BNE\|XX945133‏
996		‎‡2 BNE\|XX1048425‏
996		‎‡2 BNE\|XX827670‏
996		‎‡2 LC\|n 93098056‏
996		‎‡2 BNC\|981058523403006706‏
996		‎‡2 ISNI\|0000000059602111‏
996		‎‡2 RERO\|A002921126‏
996		‎‡2 BNCHL\|10000000000000000109708‏
996		‎‡2 DNB\|1157210414‏
996		‎‡2 LC\|n 96005129‏
996		‎‡2 SUDOC\|120706296‏
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996		‎‡2 SUDOC\|250175487‏
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996		‎‡2 LC\|n 79016455‏
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996		‎‡2 BNE\|XX1054036‏
996		‎‡2 BNE\|XX1192292‏
996		‎‡2 ICCU\|CUBV071213‏
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996		‎‡2 BNE\|XX5647422‏
996		‎‡2 BNC\|981058518975506706‏
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996		‎‡2 ISNI\|0000000077494919‏
996		‎‡2 LC\|no 00024035‏
996		‎‡2 CAOONL\|ncf10705832‏
996		‎‡2 NUKAT\|n 2004035917‏
996		‎‡2 ISNI\|0000000115346248‏
996		‎‡2 LIH\|LNB:B_u__y_V;=CW‏
996		‎‡2 BNCHL\|10000000000000000139590‏
996		‎‡2 BNE\|XX895821‏
996		‎‡2 BNE\|XX1412274‏
996		‎‡2 LC\|ns2015001013‏
997		‎‡a 0 0 lived 0 0‏ ‎‡9 1‏

VIAF

Virtual International Authority File

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