Volume List  / Volume 7 (4)

Article

OLDER ADULT DRIVERS’ CHALLENGES AND IN-VEHICLE TECHNOLOGY ACCEPTANCE

DOI: 10.7708/ijtte.2017.7(4).08


7 / 4 / 498-515 Pages

Author(s)

Sanaz Motamedi - Department of Mechanical, Industrial and System Engineering, University of Rhode Island, Kingston, RI 0288, USA -

Jyh-Hone Wang - Department of Mechanical, Industrial and System Engineering, University of Rhode Island, Kingston, RI 0288, USA -


Abstract

Driving is an essential activity in living a fulfilling lifestyle. Older adults, like the rest of the population, require a means of transportation to participate in important lifestyle choices; however, declines in their sensory, motor, perceptual, and cognitive abilities limit their driving capabilities. These limitations motivated this study to investigate older adult drivers’ driving challenges by conducting a questionnaire. The in-vehicle technologies which mitigate these challenges were identified. In this study, the acceptance of the identified technologies is explored by conducting a second questionnaire. A four dimensional model which included perceived usefulness, perceived ease of use, perceived safety, and perceived anxiety is considered in the second questionnaire. In total, 250 older adult drivers participated in these questionnaires. The responses obtained from both questionnaires identified potential challenges that they were facing and whether they intend to use the identified in-vehicle technologies. Having more information about the acceptance of these technologies can help engineers better understand the factors that make technologies useful to older adult drivers, and thus improve their driving safety.


Download Article

Number of downloads: 1129


Acknowledgements:

The authors would like to acknowledge The Rhode Island Department of Transportation and the University of Rhode Island Transportation Center for their support and guidance throughout this research project. Moreover, the authors wish to thank Professor Phillip Clark and Director of the Osher Lifelong Learning Institute, who provided insight and expertise, and helped recruit subjects. The authors also want to to thank Ms. Meredith Westner's assistance and senior students Marianna Albanese, Chelsea Sabatino, Kyle Steinberg, Frederick Garrett Reis and Farede Pakdel for their help in conducting the surveys.


References:

Bélanger, A.; Gagnon, S.; Yamin, S. 2010. Capturing The Serial Nature of Older Drivers’ Responses Towards Challenging Events: A Simulator Study, Accident Analysis and Prevention 42(3): 809817.

 

Blower, D. 2014. Assessment of the Effectiveness of Advanced Collision Avoidance Technologies. Available from internet: http://www.trb.org/.

 

Casutt, G.; Martin, M.; Keller, M.; Jäncke, L. 2014. The Relation Between Performance in On-Road Driving, Cognitive Screening and Driving Simulator in Older Healthy Drivers, Transportation Research Part F: Traffic Psychology and Behaviour 22: 232-244.

 

Cattell, R.B. 1966. The Scree Test for the Number of Factors, Multivariate Behavioral Research 1(2): 245-276.

 

Census. 2015. QuickFacts, Rhode Island. United States Census Bureau. Available from internet: https://www.census.gov/.

 

Census. 2013. Traffic Safety Facts: 2011 Data. United States Census Bureau. Available from internet: https://www.census.gov/.

 

Charlton, J.L.; Oxley, J.; Fildes, B.; Oxley, P.; Newstead, S.; Koppel, S.; O’Hare, M. 2006. Characteristics of Older Drivers who Adopt Self-Regulatory Driving Behaviours, Transportation Research Part F: Traffic Psychology and Behaviour 9(5): 363-373.

 

Cicchino, J.B.; McCartt, A.T. 2015. Critical Older Driver Errors in a National Sample of Serious U.S. Crashes, Accident Analysis and Prevention 80: 211-219.

 

Davidse, R.J. 2006. Which Systems Improve Road Safety?, International Association of Traffic and Safety Sciences 30(1): 6-20.

 

Davis, F.D. 1989. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, MIS quarterly 13(3): 319-340.

 

Dawson, J.D.; Anderson, S.W.; Uc, E.Y.; Dastrup, E.; Rizzo, M. 2009. Predictors of Driving Safety in Early Alzheimer Disease, Neurology 72(6): 521-527.

 

Eby, D.W.; Molnar, L.J.; Zhang, L.; St Louis, R.M.; Zanier, N.; Kostyniuk, L.P. 2015. Keeping Older Adults Driving Safely: A Research Synthesis of Advanced In-Vehicle Technologies. AAA Foundation for Traffic Safety. Washington DC. USA. 68 p.

 

Harlow, L.L. 2014. The Essence of Multivariate Thinking: Basic Themes and Methods, Second Edition. Routledge. New York. USA. 396 p.

 

Henriksson, P.; Levin, L.; Willstrand, T. 2014. Challenging Situations, Self-Reported Driving Habits and Capacity Among Older Drivers (70+) in Sweden a Questionnaire Study. Available from internet: https://www.vti.se/en/Publications/.

 

Hojjati-Emami, K.; Dhillon, B.S.; Jenab, K. 2014. The FTA’s Constrained Based Methodology in Risk Assessment of Crash and Condition Monitoring for Older Drivers on Roads, Journal of Transportation Safety & Security 6(1): 44-61.

 

Houser, A. 2005. Older Driver and Automobile Safety. Available from internet: http://www.aarp.org/.

 

Lam, L.T. 2002. Distractions and the Risk of Car Crash Injury, Journal of Safety Research 33(3): 411-419.

 

Lavalliere, M.; Laurendeau, D.; Simoneau, M.; Teasdale, N. 2011. Changing Lanes in a Simulator: Effects of Aging on the Control of the Vehicle and Visual Inspection of Mirrors and Blind Spot, Traffic Injury Prevention 12(2): 191-200.

 

Levin, L.; Ulleberg, P.; Siren, A. 2012. Measures to Enhance Mobility among Older People in Scandinavia. Available from internet: https://www.vti.se/en/Publications/.

 

Li, Y.; Wang, H.; Wang, W.; Liu, S.; Xiang, Y. 2016. Reducing the Risk of Rear-End Collisions With Infrastructure-To-Vehicle (I2V) Integration of Variable Speed Limit Control and Adaptive Cruise Control System, Traffic Injury Prevention 17(6): 597-603.

 

MacLeod, K.E.; Satariano, W.A.; Ragland, D.R. 2014. The Impact of Health Problems on Driving Status among Older Adults, Journal of Transport & Health 1(2): 86-94.

 

Madigan, R.; Louw, T.; Dziennus, M.; Graindorge, T.; Ortega, E.; Graindorge, M.; Merat, N. 2016. Acceptance of Automated Road Transport Systems (ARTS): An Adaptation of the UTAUT Model, Transportation Research Procedia 14: 2217-2226.

 

Mayhew, D.R.; Simpson, H.M.; Ferguson, S.A. 2006. Collisions Involving Senior Drivers: High-Risk Conditions and Locations, Traffic Injury Prevention 7(2): 117-124.

 

Mehler, B.; Reimer, B.; Lavallière, M.; Dobres, J.; Coughlin, J.F. 2014. Evaluating Technologies Relevant to the Enhancement of Driver Safety. Available from internet: https://www.aaafoundation.org.

 

Mitchell, C.G.B.; Suen, S.L. 1997. ITS Impact on Elderly Drivers. Presented at XIIIth World Meeting of the International Road Federation.

 

Motamedi, S.; Wang, J.-H. 2016. The Impact of Text Driving on Driving Safety, International Journal for Traffic and Transport Engineering 6(3): 325-338.

 

Mulholland, A. 2009. Seven New Technologies to Help Older Drivers. Available from internet: http://www.ctvnews.ca.

 

Musselwhite, C.; Holland, C.; Walker, I. 2015. The Role of Transport and Mobility in the Health of Older People, Journal of Transport and Health 2(1): 14.

 

Ortman, B.J.M.; Velkoff, V.A.; Hogan, H. 2014. An aging Nation: The Older Population in The United States. Available from internet: http://www. census.gov.

 

Osswald, S.; Wurhofer, D.; Trösterer, S.; Beck, E.; Tscheligi, M. 2012. Predicting Information Technology Usage in The Car: Towards a Car Technology Acceptance Model. In Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, October 17 - 19, 2012, Portsmouth, New Hampshire, 51-58.

 

Pavlou, D.; Papantoniou, P.; Papadimitriou, E.; Vardaki, S.; Economou, A.; Yannis, G.; Papageorgiou, S.G. 2017. Self-Assessment of Older Drivers with Brain Pathologies: Reported Habits and Self-Regulation of Driving, Journal of Transport & Health 4: 90-98.

 

Reimer, B. 2014. Driver Assistance Systems and the Transition to Automated Vehicles: A Path to Increase Older Adult Safety and Mobility?, Public Policy & Aging Report 24(1): 27-31.

 

Rosenbloom, S.; Coughlin, J.F.; D’Ambrosio, L.A. 2012. The Travel and Mobility Needs of Older People now and in the Future. Aging America and Transportation: Personal Choices and Public Policy, New York: Springer, Section 1: 39-56.

 

Schulz, R.; Wahl, H.W.; Matthews, J.T.; De Vito Dabbs, A.; Beach, S.R. Czaja, S.J. 2014. Advancing the Aging and Technology Agenda in Gerontology, The Gerontologist 55(5): 724-734.

 

Siren, A.; Meng, A. 2012. Cognitive Screening of Older Drivers does not Produce Safety Benefits, Accident Analysis and Prevention 45: 634-638.

 

Son, J.; Park, M.; Park, B.B.; 2015. The Effect of Age, Gender and Roadway Environment on the Acceptance and Effectiveness of Advanced Driver Assistance Systems, Transportation Research Part F: Traffic Psychology and Behaviour 31: 12-24.

 

Venkatesh, V.; Bala, H. 2008. Technology Acceptance Model 3 and a Research Agenda on Interventions, Decision sciences 39(2): 273-315.

 

Venkatesh, V.; Davis, F.D. 2000. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies, Management science 46(2): 186-204.

 

Venkatesh, V.; Morris, M.G.; Davis, G.B.; Davis, F.D. 2003. User Acceptance of Information Technology: Toward a Unified View, MIS quarterly 425-478.

 

Young, J. 2014. Rain-Sensing Wipers. Available from internet: http://www.jdpower.com.


Quoted IJTTE Works



Related Keywords