Exploring Preferences towards Integrating the Autonomous Vehicles with the Current Microtransit Services: A Disability Focus Group Study
Publication: International Conference on Transportation and Development 2021
ABSTRACT
This study explores how people with disabilities perceive and accept autonomous vehicles (AVs) as a technology to improve their mobility. A focus group discussion was conducted to explore individuals’ preferences towards integrating level 4 AVs into the existing microtransit service in Arlington, Texas. Participants demonstrated a positive perception towards the integration of AVs into the current microtransit infrastructure. The results suggest that accessibility to a well-designed built environment is vital in adopting AVs by people with disabilities. Moreover, AVs’ accessibility to healthcare facilities is one of the main concerns identified by focus groups of persons with disabilities. In particular, participants with visual impairment were hopeful that future AV services could improve their mobility through advanced apps, booking systems, and vehicle equipment. This study offers several implications for designing AV service in line with the needs of persons with disabilities while combining with the current microtransit service.
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REFERENCES
Anderson, J. M., Kalra, N., Stanley, K. D., Sorensen, P., Samaras, C., and Oluwatola, O. (2016). Autonomous vehicle technology: a guide for policymakers. Santa Monica, CA: RAND Corporation.
Bansal, P., Kockelman, K. M., and Singh, A. (2016). Assessing public opinions of and interest in new vehicle technologies: An Austin perspective. Transportation Research Part C: Emerging Technologies, 67, 1-14.
Bennett, R., Vijaygopal, R., and Kottasz, R. (2019). Attitudes towards autonomous vehicles among people with physical disabilities. Transportation research part A: policy and practice, 127, 1-17.
Bennett, R., Vijaygopal, R., and Kottasz, R. (2020). Willingness of people who are blind to accept autonomous vehicles: an empirical investigation. Transportation research part F: traffic psychology and behaviour, 69, 13-27.
Bezyak, J. L., Sabella, S. A., and Gattis, R. H. (2017). Public Transportation: An Investigation of Barriers for People With Disabilities. Journal of Disability Policy Studies, 28(1), 52-60. https://doi.org/10.1177/1044207317702070.
City of Arlington. (2019). Demographic Data. Retrieved 17 November 2020 from https://www.arlingtontx.gov/open_data/city_statistics/demographic_data.
Cullinane, Kevin, and Toy, Neal. 2000. “Identifying Influential Attributes in Freight Route/Mode Choice Decisions: A Content Analysis.” Transportation Research Part E: Logistics and Transportation Review 36 (1): 41–53. https://doi.org/10.1016/S1366-5545(99)00016-2.
Das, Subasish, Dixon, Karen, Sun, Xiaoduan, Dutta, Anandi, and Zupancich, Michelle. 2017. “Trends in Transportation Research: Exploring Content Analysis in Topics.” Transportation Research Record 2614 (1): 27–38. https://doi.org/10.3141/2614-04.
Eby, D. W., Molnar, L. J., and Louis, R. M. S. (2018). Perspectives and Strategies for Promoting Safe Transportation Among Older Adults. Elsevier.
Freemark, Y., Hudson, A., and Zhao, J. (2019). Are Cities Prepared for Autonomous Vehicles? Journal of the American Planning Association, 85(2), 133-151. https://doi.org/10.1080/01944363.2019.1603760.
Hilgarter, K., and Granig, P. (2020). Public perception of autonomous vehicles: a qualitative study based on interviews after riding an autonomous shuttle. Transportation research part F: traffic psychology and behaviour, 72, 226-243.
Hsieh, H.-F., and Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative health research, 15(9), 1277-1288.
Hudson, C. R., Deb, S., Carruth, D. W., McGinley, J., and Frey, D. (2019). Pedestrian Perception of Autonomous Vehicles with External Interacting Features. Advances in Human Factors and Systems Interaction, Cham.
Hulse, L. M., Xie, H., and Galea, E. R. (2018). Perceptions of autonomous vehicles: Relationships with road users, risk, gender and age. Safety Science, 102, 1-13.
Hwang, J., Li, W., Stough, L., Lee, C., and Turnbull, K. (2020). A focus group study on the potential of autonomous vehicles as a viable transportation option: Perspectives from people with disabilities and public transit agencies. Transportation research part F: traffic psychology and behaviour, 70, 260-274.
Jones, M., Morris, J., and Deruyter, F. (2018). Mobile Healthcare and People with Disabilities: Current State and Future Needs. International Journal of Environmental Research and Public Health, 15(3), 515.
Kassens-Noor, E., Kotval-Karamchandani, Z., and Cai, M. (2020). Willingness to ride and perceptions of autonomous public transit. Transportation Research Part A: Policy and Practice, 138, 92-104.
Kaufman, S. M., Smith, A., O’Connell, J., and Marulli, D. (2016). Intelligent paratransit. Retrieved 04 November 2020 from http://wagner.nyu.edu/rudincenter/wp-content/uploads/2016/09/INTELLIGENT_PARATRANSIT.pdf.
Krueger, R., Rashidi, T. H., and Rose, J. M. (2016). Preferences for shared autonomous vehicles. Transportation research part C: emerging technologies, 69, 343-355.
Kyriakidis, M., Happee, R., and de Winter, J. C. F. (2015). Public opinion on automated driving: Results of an international questionnaire among 5000 respondents. Transportation Research Part F: Traffic Psychology and Behaviour, 32, 127-140. https://doi.org/https://doi.org/10.1016/j.trf.2015.04.014.
Levin, Michael W., Odell, Michael, Samarasena, Shaluka, and Schwartz, Adam. 2019. “A Linear Program for Optimal Integration of Shared Autonomous Vehicles with Public Transit.” Transportation Research Part C: Emerging Technologies 109 (December): 267–88. https://doi.org/10.1016/j.trc.2019.10.007.
Litman, T. (2013). Transportation and public health. Annual review of public health, 34, 217-233.
Penmetsa, P., Adanu, E. K., Wood, D., Wang, T., and Jones, S. L. (2019). Perceptions and expectations of autonomous vehicles–A snapshot of vulnerable road user opinion. Technological Forecasting and Social Change, 143, 9-13.
Perkins, L., Dupuis, N., and Rainwater, B. (2018). Autonomous Vehicle Pilots Across America. Center for City Solutions. Washington, DC: National League of Cities (NLC). https://www.nlc. org/resource/autonomous-vehicle-pilots-across-america.
Pharr, J. R., James, T., and Yeung, Y.-L. (2019). Accessibility and accommodations for patients with mobility disabilities in a large healthcare system: How are we doing? Disability and Health Journal, 12(4), 679-684. https://doi.org/https://doi.org/10.1016/j.dhjo.2019.03.008.
Portouli, E., Karaseitanidis, G., Lytrivis, P., Amditis, A., Raptis, O., and Karaberi, C. (2017). Public attitudes towards autonomous mini buses operating in real conditions in a Hellenic city. 2017 IEEE Intelligent Vehicles Symposium (IV).
Rask, K. J., Williams, M. V., Parker, R. M., and McNagny, S. E. (1994). Obstacles predicting lack of a regular provider and delays in seeking care for patients at an urban public hospital. Jama, 271(24), 1931-1933.
Sabella, S. A. P. C. R. C., and Bezyak, J. L. P. C. R. C. (2019). Barriers to Public Transportation and Employment: A National Survey of Individuals With Disabilities. Journal of Applied Rehabilitation Counseling, 50(3), 174-185. https://doi.org/http://dx.doi.org/10.1891/0047-2220.50.3.174.
Shen, Yu, Zhang, Hongmou, and Zhao, Jinhua. 2018. “Integrating Shared Autonomous Vehicle in Public Transportation System: A Supply-Side Simulation of the First-Mile Service in Singapore.” Transportation Research Part A: Policy and Practice 113 (July): 125–36. https://doi.org/10.1016/j.tra.2018.04.004.
Shuttleworth, J. (2019). SAE Standards News: J3016 automated-driving graphic update. SAE International. Retrieved 04 November 2020 from https://www.sae.org/news/2019/01/sae-updates-j3016-automated-driving-graphic.
Sprung, M. J., and Chambers, M. (2016). Transportation Statistics Annual Report 2016. Retrieved 04 November 2020 from https://rosap.ntl.bts.gov/view/dot/32787.
Taylor, D. M. (2018). Americans with disabilities: 2014. Retrieved 17 November 2020 from https://www.census.gov/content/dam/Census/library/publications/2018/demo/p70-152.pdf.
U.S. Census Bureau. (2019). Quick Facts: Arlington City, Texas. Retrieved 17 November 2020 from https://www.census.gov/quickfacts/arlingtoncitytexas.
Van Brummelen, J., O’Brien, M., Gruyer, D., and Najjaran, H. (2018). Autonomous vehicle perception: The technology of today and tomorrow. Transportation research part C: emerging technologies, 89, 384-406.
Wallace, R., Hughes-Cromwick, P., Mull, H., and Khasnabis, S. (2005). Access to health care and nonemergency medical transportation: two missing links. Transportation research record, 1924(1), 76-84.
Wang, S., Jiang, Z., Noland, R. B., and Mondschein, A. S. (2020). Attitudes towards privately-owned and shared autonomous vehicles. Transportation research part F: traffic psychology and behaviour, 72, 297-306.
Woldeamanuel, M., and Nguyen, D. (2018). Perceived benefits and concerns of autonomous vehicles: An exploratory study of millennials’ sentiments of an emerging market. Research in Transportation Economics, 71, 44-53.
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International Conference on Transportation and Development 2021
Pages: 355 - 366
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© 2021 American Society of Civil Engineers.
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Published online: Jun 4, 2021
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