Electric two-wheelers have become an important mode of transportation for older adults in China. However, there is a notable gap in research examining the factors that influence helmet usage among older adults in China when riding an electric two-wheeler. Therefore, it was crucial to analyze the factors that affect their willingness to wear a helmet while riding an electric two-wheeler. This study aimed to examine the impact of sociodemographic characteristics, exogenous constructs in the health belief model (HBM), and the theory of planned behavior (TPB) on older adults’ intentions to use a helmet while riding an electric two-wheeler. To achieve this, a hierarchical regression model was used. Interviews were conducted with older adults who engage in electronic cycling within the urban regions of Pingdingshan City. The findings indicated that there was only a limited amount of variance in behavioral intention that could be accounted for by sociodemographic characteristics. The TPB exhibited a higher level of explanatory power compared with the HBM. Perceived severity, cues to action, subjective norms, and attitudes were found to have a significant impact on behavioral intention, whereas perceived severity, perceived barrier, and self-efficacy did not show significant influence. The influence of sociodemographic characteristics on behavioral intention was also examined.
ShaikhS.TalpurM. A. H.BaigF.TariqF.KhahroS. H.Adoption of Electric Motorcycles in Pakistan: A Technology Acceptance Model Perspective. World Electric Vehicle Journal, Vol. 14, No. 10, 2023. https://doi.org/10.3390/wevj14100278
2.
LinS.HeM.TanY.HeM.Comparison Study on Operating Speeds of Electric Bicycles and Bicycles: Experience From Field Investigation in Kunming, China. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2048, No. 1, 2008, pp. 52–59.
3.
ZhouJ.LiZ.DongS.SunJ.ZhangY.Visualization and Bibliometric Analysis of E-Bike Studies: A systematic literature review (1976–2023). Transportation Research Part D: Transport and Environment, Vol. 122, 2023, p. 103891.
4.
WeberT.ScaramuzzaG.SchmittK.-U.Evaluation of E-Bike Accidents in Switzerland. Accident Analysis & Prevention, Vol. 73, 2014, pp. 47–52.
5.
HuF.LvD.ZhuJ.FangJ.Related Risk Factors for Injury Severity of E-Bike and Bicycle Crashes in Hefei. Traffic Injury Prevention, Vol. 15, No. 3, 2014, pp. 319–323.
6.
BascheraD.FeilerS.JägerD.Z'GraggenW.RaabeA.ExadaktylosA.HaslerR.Incidence and Severity of Head Injury Due to E-Bike Accidents Compared to Normal Bicycle Accidents. Journal of Neurological Surgery Part A: Central European Neurosurgery, Vol. 78, No. Supplement 1, 2017, p. 019.
7.
ZhouS. A.HoA. F. W.OngM. E. H.LiuN.PekP. P.WangY. Q.JinT.YanG. Z.HanN. N.LiG.Electric Bicycle-Related Injuries Presenting to A Provincial Hospital in China: A Retrospective Study. Medicine, Vol. 96, No. 26, 2017, p. e7395.
8.
BakerC. E.YuX.PatelS.GhajariM.A Review of Cyclist Head Injury, Impact Characteristics and the Implications for Helmet Assessment Methods. Annals of Biomedical Engineering, Vol. 51, No. 5, 2023, pp. 875–904. https://doi.org/10.1007/s10439-023-03148-7
9.
RosanderA.BreedingT.NgatuvaiM.AlterN.MakaP.BeetonG.KornblithL.ElkbuliA.National Analysis of Motorcycle Associated Injuries and Fatalities: Wearing Helmet Saves Lives. The American Journal of Emergency Medicine, Vol. 69, 2023, pp. 108–113. https://doi.org/10.1016/j.ajem.2023.04.018
10.
BrockhusL. A.LiasidisP.LewisM.JakobD. A.DemetriadesD.Injury Patterns and Outcomes in Motorcycle Driver Crashes in the United States: The Effect of Helmet Use. Injury, Vol. 55, No. 3, 2024. https://doi.org/10.1016/j.injury.2023.111196
11.
KulanthayanK. C. M.TeowH. F.Tamil SelvanH. K.YellappanK.UlaganathanV.Determinants of Standard Motorcycle Safety Helmet Usage Among Child Pillion Riders. Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 74, 2020, pp. 408–417. https://doi.org/10.1016/j.trf.2020.08.029
12.
MohammadiE.AzadnajafabadS.KeykhaeiM.ShakibaA.Ebrahimi MeimandS.Hosseini ShabananS.Mahdavi SharifP., et al. Barriers and Factors Associated with the Use of Helmets by Motorcyclists: A Scoping Review. Accident Analysis and Prevention, Vol. 171, 2022, p. 106667. https://doi.org/10.1016/j.aap.2022.106667
13.
YuY.PengJ.-J.LiQ.-F.Helmet Wearing and Its Influencing Factors Among E-Bike Drivers and Passengers in Shanghai. Chinese Journal of Public Health, Vol. 39, No. 1, 2023, pp. 42–45.
14.
WangC.Abdel-AtyM.CuiP.HanL.Effects of Helmet Usage on Moped Riders’ Injury Severity in Moped-Vehicle Crashes: Insights From Partially Temporal Constrained Random Parameters Bivariate Probit Models. Accident Analysis & Prevention, Vol. 208, 2024, p. 107800. https://doi.org/10.1016/j.aap.2024.107800
15.
Mahdavi SharifP.Najafi PazookiS.GhodsiZ.NouriA.GhoroghchiH. A.TabriziR.ShafieianM., et al. Effective Factors of Improved Helmet Use in Motorcyclists: A Systematic Review. BMC Public Health, Vol. 23, No. 1, 2023. https://doi.org/10.1186/s12889-022-14893-0
16.
KumphongJ.SatiennamT.SatiennamW.The Determinants of Motorcyclists Helmet Use: Urban Arterial Road in Khon Kaen City, Thailand. Journal of Safety Research, Vol. 67, 2018, pp. 93–97. https://doi.org/10.1016/j.jsr.2018.09.011
17.
HungD. V.StevensonM. R.IversR. Q.Barriers to, and Factors Associated, with Observed Motorcycle Helmet Use in Vietnam. Accident Analysis & Prevention, Vol. 40, No. 4, 2008, pp. 1627–1633. https://doi.org/10.1016/j.aap.2008.05.002
18.
AkaatebaM. A.Amoh-GyimahR.YakubuI.A Cross-Sectional Observational Study of Helmet Use Among Motorcyclists in Wa, Ghana. Accident Analysis & Prevention, Vol. 64, 2014, pp. 18–22. https://doi.org/10.1016/j.aap.2013.11.008
RitterN.VanceC.The Determinants of Bicycle Helmet Use: Evidence from Germany. Accident Analysis & Prevention, Vol. 43, No. 1, 2011, pp. 95–100. https://doi.org/10.1016/j.aap.2010.07.016
21.
ZhouJ.ZhengT.DongS.MaoX.MaC.Impact of Helmet-Wearing Policy on E-Bike Safety Riding Behavior: A Bivariate Ordered Probit Analysis in Ningbo, China. International Journal of Environmental Research and Public Health, Vol. 19, No. 5, 2022, p. 2830.
22.
LajunenT.Barriers and Facilitators of Bicycle Helmet Use Among Children and Their Parents. Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 41, 2016, pp. 294–301. https://doi.org/10.1016/j.trf.2015.03.005
23.
FerraroO. E.OrsiC.MontomoliC.MorandiA.A model of Factor Analysis: Reasons for Using a Helmet in a Sample of Non-Competitive Italian cyclists. Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 58, 2018, pp. 994–1004. https://doi.org/10.1016/j.trf.2018.07.021
24.
PopaI.FerraroO. E.OrsiC.MorandiA.MontomoliC.Bicycle Helmet Use Patterns in Italy. A Description and Analysis of Survey Data from an Italian Friends of Cycling Association. Accident Analysis & Prevention, Vol. 108, 2017, pp. 268–274. https://doi.org/10.1016/j.aap.2017.09.003
KraemerJ. D.RoffenbenderJ. S.AnderkoL.Helmet Wearing Among Users of a Public Bicycle-Sharing Program in the District of Columbia and Comparable Riders on Personal Bicycles. American Journal of Public Health, Vol. 102, No. 8, 2012, pp. e23–25. https://doi.org/10.2105/ajph.2012.300794
27.
OruogiM.HekmatpouD.JavaheriJ.The Implication of Health Belief Model to Promote the Performance of Motorcyclists Using Helmets in Markazi Province (arak) in Iran. Iranian Journal of Epidemiology, Vol. 9, No. 3, 2014, pp. 37–44.
28.
KılınçE.KartalA.The Frequency of Bicycle Helmet Use Among College Students and Health Beliefs for Bicycle Helmet Attitude. Journal of American College Health, Vol. 72, No.1, 2024, pp. 269–277.
29.
LedesmaR. D.ShinarD.Valero-MoraP. M.HaworthN.FerraroO. E.MorandiA.PapadakakiM.De BruyneG.OtteD.SapliogluM.Psychosocial Factors Associated with Helmet Use by Adult Cyclists. Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 65, 2019, pp. 376–388. https://doi.org/10.1016/j.trf.2019.08.003
30.
BrijsK.BrijsT.SannS.TrinhT. A.WetsG.RuiterR. A. C.Psychological Determinants of Motorcycle Helmet Use Among Young Adults in Cambodia. Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 26, 2014, pp. 273–290. https://doi.org/10.1016/j.trf.2014.08.002
31.
PapadakakiM.TzamaloukaG.OrsiC.KritikosA.MorandiA.GnardellisC.ChliaoutakisJ.Barriers and Facilitators of Helmet Use in a Greek Sample of Motorcycle Riders: Which Evidence?Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 18, 2013, pp. 189–198. https://doi.org/10.1016/j.trf.2013.01.002
32.
LajunenT.RäsänenM.Why Teenagers Owning a Bicycle Helmet Do Not Use Their Helmets. Journal of Safety Research, Vol. 32, No. 3, 2001, pp. 323–332.
33.
O'CallaghanF. V.NausbaumS.Predicting Bicycle Helmet Wearing Intentions and Behavior Among Adolescents. Journal of Safety Research, Vol. 37, No. 5, 2006, pp. 425–431. https://doi.org/10.1016/j.jsr.2006.08.001
34.
YangY.BaigF.LeeJ. J.Exploring Young Individuals’ Intentions to Use Helmets of Shared e-Bike in China. KSCE Journal of Civil Engineering, Vol. 29, No. 5, 2024, p. 100074. https://doi.org/10.1016/j.kscej.2024.100074
35.
TariganA. K. M.SukorN. S. A.Consistent Versus Inconsistent Behaviour of Helmet Use Among Urban Motorcyclists in Malaysia. Safety Science, Vol. 109, 2018, pp. 324–332. https://doi.org/10.1016/j.ssci.2018.06.019
36.
ChampahomT.JomnonkwaoS.SatiennamT.SuesatN.RatanavarahaV.Modeling of Safety Helmet Use Intention Among Students in Urban and Rural Thailand Based on the Theory of Planned Behavior and Locus of Control. The Social Science Journal, Vol. 57, No. 4, 2020, pp. 508–529. https://doi.org/10.1016/j.soscij.2019.02.003
37.
YangY.LiC.ChengK.HuS.Factors Affecting the Intention to Wear Helmets for E-Bike Riders: The Case of Chinese college students. International Journal of Injury Control and Safety Promotion, Vol. 31, No. 3, 2024, pp. 487–498. https://doi.org/10.1080/17457300.2024.2349553
38.
RaihanM. A.AnikB.AshikF. R.HasanM. M.MahmudS.Motorcycle Helmet Use Behavior: What Does the Data Tell Us?, 2023.
39.
LajunenT.RasanenM.Can Social Psychological Models Be Used to Promote Bicycle Helmet Use Among Teenagers? A Comparison of the Health Belief Model, Theory of Planned Behavior and the Locus of Control. Journal of Safety Research, Vol. 35, No. 1, 2004, pp. 115–123. https://doi.org/10.1016/j.jsr.2003.09.020
40.
AghamolaeiT.TavafianS. S.MadaniA.Prediction of Helmet Use Among Iranian Motorcycle Drivers: An Application of the Health Belief Model and the Theory of Planned Behavior. International Traffic Medicine Association, Vol. 12, No. 3, 2011, pp. 239–243. https://doi.org/10.1080/15389588.2011.557757
41.
Fallah ZavarehM.Mohamadi HezavehA.NordfjærnT.Intention to Use Bicycle Helmet as Explained by the Health Belief Model, Comparative Optimism and Risk Perception in an Iranian Sample. Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 54, 2018, pp. 248–263. https://doi.org/10.1016/j.trf.2018.02.003
42.
LeeJ. M.OutlawN. L.The Antecedents of Mandatory Motorcycle Helmet Legislation Enhancing Behavior. Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 59, 2018, pp. 330–347. https://doi.org/10.1016/j.trf.2018.09.015
43.
HoyeA.Recommend or Mandate? A Systematic Review and Meta-Analysis of the Effects of Mandatory Bicycle Helmet Legislation. Accident Analysis & Prevention, Vol. 120, 2018, pp. 239–249. https://doi.org/10.1016/j.aap.2018.08.001
44.
OlssonB.Increased Bicycle Helmet Use in the Absence of Mandatory Bicycle Helmet Legislation: Prevalence and Trends From Longitudinal Observational Studies on the Use of Bicycle Helmets Among Cyclists in Denmark 2004–2022. Journal of Safety Research, Vol. 87, 2023, pp. 54–63. https://doi.org/10.1016/j.jsr.2023.09.003
45.
AkuhR.DonaniM.OkyereS.GyamfiE. K.The Impact of Perceived Safety, Weather Condition and Convenience on Motorcycle Helmet Use: The Mediating Role of Traffic Law Enforcement and Road Safety Education. IATSS Research, Vol. 47, No. 2, 2023, pp. 204–213. https://doi.org/10.1016/j.iatssr.2023.03.001
46.
SiebertF. W.RiisC.JanstrupK. H.LinH.HüttelF. B.Computer Vision-Based Helmet Use Registration for E-Scooter Riders—The Impact of the Mandatory Helmet Law in Copenhagen. Journal of Safety Research, Vol. 87, 2023, pp. 257–265. https://doi.org/10.1016/j.jsr.2023.09.021
47.
BungumT. J.BungumN. W.Predictors of Bicycle Helmet Usage Among Seniors. Journal of Community Health, Vol. 28, 2003, pp. 221–228.
48.
HaoP.Research on the Wearing Rate of Helmets for Electric Bicycles. Shandong Jiaotong Keji, No. 6, 2021, pp. 21–23.
49.
YingZ.BingbingZ.FengZ.Research on Helmet Wearing of Electric Bicycle Drivers and Passengers in Jiangsu Province and Policy Suggestions. Market Weekly, Vol. 34, No. 5, 2021, pp. 124–126.
50.
HungY.-H.HsuH.-C.HuangY.-F.Design and Evaluation of an Innovative Hazard Warning Helmet for Elder Scooter Riders.In Universal Access in Human-Computer Interaction. Users and Context Diversity: 10th International Conference, UAHCI 2016, Held as Part of HCI International 2016, Toronto, ON, Canada, July 17–22, 2016, Proceedings, Part III 10, Springer, 2016. pp. 367–374.
51.
The National Center for Chronic and Noncommunicable Disease Control and Prevention. China Cause of Death Surveillance Dataset 2021, Beijing, 2022.
52.
LiY.ChenQ.MaQ.YuH.HuangY.ZhuL.ZhangH.LiC.LuG.Injuries and Risk Factors Associated with Bicycle and Electric Bike Use in China: A Systematic Review and Meta-Analysis. Safety Science, Vol. 152, 2022, p. 105769. https://doi.org/10.1016/j.ssci.2022.105769
53.
WangT.ChenJ.WangC.YeX.Understand E-Bicyclist Safety in China: Crash Severity Modeling Using a Generalized Ordered Logit Model. Advances in Mechanical Engineering, Vol. 10, No. 6, 2018. https://doi.org/10.1177/1687814018781625
54.
ZhangY.YaoE.ZhangR.XuH.Analysis of Elderly People’s Travel Behaviours During the Morning Peak Hours in the Context of the Free Bus Programme in Beijing, China. Journal of Transport Geography, Vol. 76, 2019, pp. 191–199. https://doi.org/10.1016/j.jtrangeo.2019.04.002
55.
AhmedS. S.CormanF.AnastasopoulosP. C.Accounting for Unobserved Heterogeneity and Spatial Instability in the Analysis of Crash Injury-Severity at Highway-Rail Grade Crossings: A Random Parameters with Heterogeneity in the Means and Variances approach. Analytic Methods in Accident Research, Vol. 37, 2023, p. 100250. https://doi.org/10.1016/j.amar.2022.100250
56.
DadipoorS.RanaeiV.GhaffariM.RakhshanderouS.Safari-MoradabadiA.Safe Driving Behaviors Among Taxi Drivers: A Predictive Cross-Sectional Study Based on the Health Belief Model. Archives of Public Health, Vol. 78, 2020, p. 82. https://doi.org/10.1186/s13690-020-00469-0
57.
WangX.ChenJ.QuddusM.ZhouW.ShenM.Influence of Familiarity with Traffic Regulations on Delivery Riders’e-Bike Crashes and Helmet Use: Two Mediator Ordered Logit Models. Accident Analysis & Prevention, Vol. 159, 2021, p. 106277.
58.
YuanQ.ShiH.ZhaoJ.LiR.Influencing Factors Analysis of Helmet Wearing for Electric Bicycle Riders Based on Ordinal Multinomial Logistic Model. Transportation Safety and Environment, Vol. 4, No. 1, 2022. https://doi.org/10.1093/tse/tdac001
59.
Herrero-FernandezD.Do People Drive as They Live, or Are They Transformed When They Drive? A Comparison of Driving Styles and Living Styles. Accident Analysis & Prevention, Vol. 161, 2021, p. 106342. https://doi.org/10.1016/j.aap.2021.106342
60.
ZhengY.MaY.EasaS. M.HaoW.FengZ.Nomophobia, Attitude and Mobile Phone Use While Riding an E-Bike: Testing a Dual-Process Model of Self-Control. Accident Analysis & Prevention, Vol. 185, 2023, p. 107032. https://doi.org/10.1016/j.aap.2023.107032
61.
EsmaeliS.AghabaykK.Abrari VajariM.StephensA. N.Development of the Pedestrian Anger Expression Inventory. Traffic Injury Prevention, Vol. 22, No. 2, 2021, pp. 167–172. https://doi.org/10.1080/15389588.2020.1854454
62.
ZhouR.HorreyW. J.Predicting Adolescent Pedestrians’ Behavioral Intentions to Follow the Masses in Risky Crossing Situations. Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 13, No. 3, 2010, pp. 153–163. https://doi.org/10.1016/j.trf.2009.12.001
63.
ZhengY.MaY.ChengJ.Cycling Anger in China: The Relationship With Gender Roles, Cycling-Related Experience, Risky and Aggressive Riding. Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 68, 2020, pp. 52–66. https://doi.org/10.1016/j.trf.2019.12.002
NiD.GuoF.ZhangH.LiM.ZhouY.Improving Older Drivers’ Behaviors Using Theory of Planned Behavior. Sustainability, Vol. 14, No. 8, 2022, p. 4769.
66.
ChampionV. L.SkinnerC. S.The Health Belief Model. Health Behavior and Health Education: Theory, Research, and Practice, Vol. 4, 2008, pp. 45–65.
67.
KamakshiS.MaheswariM. R.Understanding Adolescent’s Helmet Use From the Perspective of Health Belief Model. Indian Journal of Health and Wellbeing, Vol. 12, No. 4, 2021, pp. 446–448.
68.
VanWormerE. A.Applying the Health Belief Model to Michigan Motorcyclist Helmet Use. Eastern Michigan University, 2017.
69.
KartalA.KilinÇE.KoŞTuN.Validity and Reliability of the Turkish Version of the Health Belief Model Based Bicycle Helmet Attitudes Scale Among University Students. Turkiye Klinikleri Journal of Nursing Sciences, Vol. 13, No. 2, 2021, pp. 275–286. https://doi.org/10.5336/nurses.2020-78656
70.
HansonJ. A.BenedictJ. A.Use of the Health Belief Model to Examine Older Adults’ Food-Handling Behaviors. Journal of Nutrition Education and Behavior, Vol. 34, 2002, pp. S25–S30.
71.
KeshavarzA.KarimiM.NazariM.GhaemH.The Effect of a Health Belief Model-Based Educational Intervention on the Determinants of Intention to Influenza Prevention Behaviors Among the Older Adults. Educational Gerontology, Vol. 48, No. 8, 2022, pp. 381–389.
72.
QuineL.RutterD. R.ArnoldL.Predicting and Understanding Safety Helmet Use Among Schoolboy Cyclists: A Comparison of the Theory of Planned Behaviour and the Health Belief Model. Psychology and Health, Vol. 13, No. 2, 1998, pp. 251–269.
73.
MehriA.Sedighi Somea KoochakZ.Application and Comparison of the Theories of Health Belief Model and Planned Behavior in Determining the Predictive Factors Associated with Seat Belt Use Among Drivers in Sabzevar. Iranian Journal of Medical Education, Vol. 11, No. 7, 2012, pp. 806–818.
74.
TavafianS. S.AghamolaeiT.GregoryD.MadaniA.Prediction of Seat Belt Use Among Iranian Automobile Drivers: Application of the Theory of Planned Behavior and the Health Belief Model. Traffic Injury Prevention, Vol. 12, No. 1, 2011, pp. 48–53. https://doi.org/10.1080/15389588.2010.532523
75.
KummenejeA.-M.RundmoT.Attitudes, Risk Perception and Risk-Taking Behaviour Among Regular Cyclists in Norway. Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 69, 2020, pp. 135–150. https://doi.org/10.1016/j.trf.2020.01.007
76.
QuW.ZhangH.ZhaoW.ZhangK.GeY.The Effect of Cognitive Errors, Mindfulness and Personality Traits on Pedestrian Behavior in a Chinese Sample. Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 41, 2016, pp. 29–37. https://doi.org/10.1016/j.trf.2016.06.009
77.
QiaoX.JiL.JinY.SiH.BianY.WangW.WangC.Development and Validation of an Instrument to Measure Beliefs in Physical Activity Among (pre)Frail Older Adults: An Integration of the Health Belief Model and the Theory of Planned Behavior. Patient Education and Counseling, Vol. 104, No. 10, 2021, pp. 2544–2551. https://doi.org/10.1016/j.pec.2021.03.009
78.
ShukriM.JonesF.ConnerM.Theory of Planned Behaviour, Psychological Stressors and Intention to Avoid Violating Traffic Rules: A Multi-Level Modelling Analysis. Accident Analysis & Prevention, Vol. 169, 2022, p. 106624. https://doi.org/10.1016/j.aap.2022.106624
79.
JobstL. J.BaderM.MoshagenM.A Tutorial on Assessing Statistical Power and Determining Sample Size for Structural Equation Models. Psychological Methods, 2021, pp. 207–221.
80.
ErenH.GauldC.Smartphone Use Among Young Drivers: Applying an Extended Theory of Planned Behaviour to Predict Young Drivers’ Intention and Engagement in Concealed Responding. Accident Analysis & Prevention, Vol. 164, 2021, p. 106474. https://doi.org/10.1016/j.aap.2021.106474
81.
PalatB.ParanF.DelhommeP.Applying an Extended Theory of Planned Behavior to Predicting Violations at Automated Railroad Crossings. Accident Analysis & Prevention, Vol. 98, 2017, pp. 174–184. https://doi.org/10.1016/j.aap.2016.10.005
82.
WangJ.WangX.Structural Equation Modeling: Applications Using Mplus. John Wiley & Sons, Oxford, UK, 2019.
83.
HairJ. F.BlackW.BabinB.Multivariate Data Analysis. Pearson Education, 2009.
84.
HairJ. F.RingleC. M.SarstedtM.PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, Vol. 19, No. 2, 2011, pp. 139–152.
85.
ChinW. W.The Partial Least Squares Approach to Structural Equation Modeling. Modern Methods for Business Research, Vol. 295, No. 2, 1998, pp. 295–336.
86.
FornellC.LarckerD. F.Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, Vol. 18, No. 1, 1981, pp. 39–50. https://doi.org/10.1177/002224378101800104
87.
BaigF.ZhangD.LeeJ.XuH.Shaping Inclusiveness of a Transportation System: Factors Affecting Seat-Yielding Behavior of University Students in Public Transportation. Transportation Research Part A: Policy and Practice, Vol. 155, 2022, pp. 79–94. https://doi.org/10.1016/j.tra.2021.11.004
88.
AlhomoudM.AlSalehE.AlzaherB.Car Accidents and Risky Driving Behaviors Among Young Drivers From the Eastern Province, Saudi Arabia. Traffic Injury Prevention, Vol. 23, No. 8, 2022, pp. 471–477. https://doi.org/10.1080/15389588.2022.2113392
89.
YoonH. S.KimY. D.Parental Awareness and Perception for Correct Use of Child Occupant Restraints in Korea. Traffic Injury Prevention, Vol. 11, No. 3, 2010, pp. 279–285. https://doi.org/10.1080/15389581003664875
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