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Exploring the Effects of Psychological Factors on the Use of Navigation Systems While Driving

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1. Ajzen, I. (1991) The theory of planed behavior. Organizational Behavior and Human Decision Processes, 50, 179-211.10.1016/0749-5978(91)90020-TSearch in Google Scholar

2. Bollen, K.A. (1989) Structural equations with latent variables. Canada Wiley.10.1002/9781118619179Search in Google Scholar

3. Dastjerdi, A.M., Kaplan, S., Silva, J. de A., Nielsen, O.A. & Pereira, F.C. (2019a) Use intention of mobility-management travel apps: The role of users goals, technophile attitude and community trust. Transportation Research Part A, 126, 114–135.10.1016/j.tra.2019.06.001Search in Google Scholar

4. Dastjerdi, A.M., Kaplan, S., Silva, J. de A., Nielsen, O.A. & Pereira, F.C. (2019b) Participating in environmental loyalty program with a real-time multimodal travel app: User needs, environmental and privacy motivators. Transportation Research Part D, 67, 223–243.10.1016/j.trd.2018.11.013Search in Google Scholar

5. Ervin, R., Sayer, J., LeBlanc, D., Bogard, S., Mefford, M., Hagan, M., Winkler, C. (2005) Automotive Collision Avoidance System Field Operational Test Report: Methodology and Results (No. HS-809 900).Search in Google Scholar

6. Ghazizadeh, M., Peng, Y., Lee, J.D., Boyle, L.N. (2012) Augmenting the technology acceptance model with trust: commercial drivers’ attitudes towards monitoring and feedback. Proceedings of the Human Factors and Ergonomic Society Annual Meeting, 56(1), pp. 2286-2290, Sage Publications.10.1177/1071181312561481Search in Google Scholar

7. Hooper, D., Coughlan, J. and Mullen, M. R. (2008) Structural Equation Modelling: Guidelines for Determining Model Fit. The Electronic Journal of Business Research Methods, 6(1), 53–60.Search in Google Scholar

8. Hox, J.J. & Bechger, T.M. (1989) An introduction to structural equation modeling. Family Science Review, 11, 354-373.Search in Google Scholar

9. Iacobucci, D. (2010) Structural equations modeling: Fit Indices, sample size, and advanced topics. Journal of Consumer Psychology, 20(1), 90–98.10.1016/j.jcps.2009.09.003Search in Google Scholar

10. Kidd, D.G., Cicchino, J.B., Reagan, I.J. & Kerfoot, L.B. (2017) Driver trust in five driver assistance technologies following real-world use in four production vehicles. Traffic Inj. Prev., 18 (sup1), S44–S50.10.1080/15389588.2017.129753228339302Search in Google Scholar

11. Lyu, N., Deng, C., Xie, L., Wu, C., & Duan, Z. (2018) A field operational test in China: Exploring the effect of an advanced driver assistance system on driving performance and braking behavior. Transportation Research Part F: Traffic Psychology and Behaviour, 65, 730-747.10.1016/j.trf.2018.01.003Search in Google Scholar

12. Miller, M. B. (1995) Coefficient alpha: A basic introduction from the perspectives of classical test theory and structural equation modeling. Structural Equation Modeling, 2, 255-273.10.1080/10705519509540013Search in Google Scholar

13. Moody, J., & Zhao, J. (2019) Car pride and its bidirectional relations with car ownership: Case studies in New York City and Houston. Transportation Research Part A: Policy and Practice, 124, 334–353.10.1016/j.tra.2019.04.005Search in Google Scholar

14. Nodine, E., Lam, A., Najm, W., Wilson, B., Brewer, J. (2011). Integrated Vehicle-Based Safety Systems Heavy-Truck Field Operational Test Independent Evaluation (No. HS-811 464).Search in Google Scholar

15. Peterson, R. A. (1994). A Meta-Analysis of Cronbach’s Coefficient Alpha. Journal of Consumer Research, 21, 381-391.10.1086/209405Search in Google Scholar

16. Regan, M., Mitsopoulos, E., Haworth, N., & Young, K. (2002). Acceptability of in-vehicle intelligent transport systems to Victorian car drivers. Melbourne, Australia: Monash University Accident Research Centre.Search in Google Scholar

17. Rooijen, Tariq & Vonk, T. & Hogema, Jeroen & Feenstra, P. (2008) The impact of navigation systems on traffic safety. 15th World Congress on Intelligent Transport Systems and ITS America Annual Meeting, pp. 6122-6134.Search in Google Scholar

18. Seebauer, S., Berger, M. (2010) Willingness to use advanced traveler information systems in Austria. In: 13th International IEEE Conference on Intelligent Transportation Systems. IEEE, pp. 1831–1836.10.1109/ITSC.2010.5625156Search in Google Scholar

19. Seebauer, S., Stolz, R., & Berger, M. (2015) Technophilia as a driver for using advanced traveler information systems. Transportation Research Part C: Emerging Technologies, 60, 498–510.10.1016/j.trc.2015.10.009Search in Google Scholar

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