Chapter
Aug 31, 2020
International Conference on Transportation and Development 2020

Potential Implications of Automated Vehicle Technologies on Travel Behavior: A Literature Review

Publication: International Conference on Transportation and Development 2020

ABSTRACT

This study intends to provide a thorough review of existing literature focusing on AV technologies, with respect to (1) the potential impacts of AVs on travel behavior and the transportation network; and (2) public perceptions toward AVs. Potential impacts of AVs were categorized into long-term impacts on location choices, urban development, and land use; mid-term lifestyle choices, such as auto ownership; and short-term daily travel choices, such as activity participation. Public perceptions can be viewed from several aspects, including technology adoption and willingness to pay, perceived benefits and concerns, and the perception of technologies. Besides discussing the trends in AV studies, several research gaps were recognized including the need for applying psychological models in perception analysis, taking advantage of advanced survey models like implicit association test instead of self-reporting surveys, and the necessity to use integrated land use and demand model with realistic assumptions to improve the predictions’ reliability.

Get full access to this article

View all available purchase options and get full access to this chapter.

REFERENCES

Anderson, J. M., Nidhi, K., Stanley, K. D., Sorensen, P., Samaras, C., & Oluwatola, O. A. (2014). Autonomous vehicle technology: A guide for policymakers. Rand Corporation.
Asgari, H., & Jin, X. (2019). Incorporating Attitudinal Factors to Examine Adoption of and Willingness to Pay for Autonomous Vehicles. Transportation Research Record.
Asgari, H., & Jin, X. (2020). Incorporating habitual behavior into Mode choice Modeling in light of emerging mobility services. Sustainable Cities and Society, 52, 101735.
Azad, M., Hoseinzadeh, N., Brakewood, C., Cherry, C. R., & Han, L. D. (2019). A literature review on fully autonomous buses (No. 19-05492).
Azimi, G., Rahimi, A., Asgari, H., & Jin, X. (2020). Transit and Non-Transit Users’ Mode Choice of Ridesourcing: The Role of Attitudes. Transportation Research Record.
Bansal, P., & Kockelman, K. M. (2017). Forecasting Americans’ long-term adoption of connected and autonomous vehicle technologies. Transportation Research Part A.
Bansal, P., & Kockelman, K. M. (2018). Are we ready to embrace connected and self-driving vehicles? A case study of Texans. Transportation, 45(2), 641-675.
Bansal, P., Kockelman, K. M., & 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.
Boggs, A. M., Arvin, R., & Khattak, A. J. (2020). Exploring the who, what, when, where, and why of automated vehicle disengagements. Accident Analysis & Prevention, 136, 105406.
Chapin, T., Stevens, L., Crute, J., Crandall, J., Rokyta, A., & Washington, A. (2016). Envisioning Florida’s Future: Transportation and Land Use in an Automated Vehicle World. Florida Department of Transportation.
Childress, S., Nichols, B., Charlton, B., & Coe, S. (2014). Using an Activity-Based Model to Explore Possible Impacts of Automated Vechiles.
Chong, Z. J., Qin, B., Bandyopadhyay, T., Wongpiromsarn, T., Rankin, E. S., Ang, M. H., … & Low, K. H. (2011, September). Autonomous personal vehicle for the first-and last-mile transportation services. In 2011 IEEE 5th International Conference on Cybernetics and Intelligent Systems (CIS) (pp. 253–260). IEEE.
Cohn, J., Ezike, R., Martin, J., Donkor, K., Ridgway, M., & Balding, M. (2019). Examining the Equity Impacts of Autonomous Vehicles: A Travel Demand Model Approach. Transportation Research Record, 0361198119836971.
Daziano, R. A., Sarrias, M., & Leard, B. (2017). Are consumers willing to pay to let cars drive for them? Analyzing response to autonomous vehicles. Transportation Research Part C: Emerging Technologies, 78, 150–164.
Djavadian, S., Farooq, B., Vasquez, R., & Yip, G. (2020). Virtual immersive reality based analysis of behavioural responses in connected and autonomous vehicle environment. In Mapping the Travel Behavior Genome (pp. 543–559). Elsevier.
Du, L., X. Jin, A. Rahimi, G. Azimi. (2020) Discovering Potential Market for the Integration of Public Transportation and Emerging Shared-Mobility Services.
Duncan, M., Charness, N., Chapin, T., Horner, M., Stevens, L., Richard, A., & Morgan, D. (2015). Enhanced mobility for aging populations using automated vehicles.
Fagnant, D. J., & Kockelman, K. M. (2014). The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios. Transportation Research Part C: Emerging Technologies, 40, 1–13.
Gao, J., Ranjbari, A., & MacKenzie, D. (2019). Would being driven by others affect the value of travel time? Ridehailing as an analogy for automated vehicles. Transportation, 46(6), 2103-2116.
Ghiasi, A., Li, X., & Ma, J. (2019). A mixed traffic speed harmonization model with connected autonomous vehicles. Transportation Research Part C: Emerging Technologies.
Haboucha, C. J., Ishaq, R., & Shiftan, Y. (2017). User preferences regarding autonomous vehicles. Transportation Research Part C: Emerging Technologies, 78, 37–49.
Howard, D., & Dai, D. (2014). Public perceptions of self-driving cars: The case of Berkeley, California. In Transportation research board 93rd annual meeting.
Jin, X., A. Rahimi, G. Azimi. (2020). The Impacts of Emerging Mobility Options and Vehicle Technologies on Travel Behavior.
Karpinski, A., & Hilton, J. L. (2001). Attitudes and the implicit association test. Journal of personality and social psychology, 81(5), 774.
Khazraeian, S., & Hadi, M. (2019). Intelligent transportation systems in future smart cities. In Sustainable Interdependent Networks II (pp. 109–120). Springer, Cham.
Kim, K. H., Yook, D. H., Ko, Y. S., & Kim, D. H. (2015). An analysis of expected effects of the autonomous vehicles on transport and land use in Korea. New York University.
Kornhauser, A., Chang, A., Clark, C., Gao, J., Korac, D., Lebowitz, B., & Swoboda, A. (2013). Uncongested mobility for all: New Jersey’s area-wide aTaxi system.
KPMG, 2015. Automobile Insurance in the Area of Autonomous Vehicles.
Krueger, R., Rashidi, T. H., & Rose, J. M. (2016). Preferences for shared autonomous vehicles. Transportation research part C: emerging technologies, 69, 343–355.
Lari, A., Douma, F., & Onyiah, I. (2015). Self-driving vehicles and policy implications: current status of autonomous vehicle development and minnesota policy implications.
Lavasani, M., Asgari, H., Jin, X. and A. Pinjari (2017). Investigating Willingness to Pay for Autonomous Vehicles and Likelihood of Residential Relocation. 96th annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2017.
Lavasani, M., Jin, X., & Du, Y. (2016). Market penetration model for autonomous vehicles on the basis of earlier technology adoption experience. Transportation Research Record.
Levin, M. W., & Boyles, S. D. (2015). Effects of autonomous vehicle ownership on trip, mode, and route choice. Transportation Research Record, 2493(1), 29-38.
Mahdavian, A., Shojaei, A., & Oloufa, A. (2019, November). Assessing the Long-and Mid-Term Effects of Connected and Automated Vehicles on Highways’ Traffic Flow and Capacity. In International Conference on Sustainable Infrastructure (p. 263).
Malokin, A., Circella, G., & Mokhtarian, P. L. (2015). How do activities conducted while commuting influence mode choice? Testing public transportation advantage and autonomous vehicle scenarios (No. 15-1179).
Malokin, A., Circella, G., & Mokhtarian, P. L. (2019). How do activities conducted while commuting influence mode choice? Using revealed preference models to inform public transportation advantage and autonomous vehicle scenarios. Transportation Research Part A: Policy and Practice, 124, 82–114.
Martinez, L. M., & Viegas, J. M. (2017). Assessing the impacts of deploying a shared self-driving urban mobility system: An agent-based model applied to the city of Lisbon, Portugal. International Journal of Transportation Science and Technology, 6(1), 13-27.
Masoud, N., & Jayakrishnan, R. (2016). Formulations for Optimal Shared Ownership and Use of Autonomous or Driverless Vehicles. In Proceedings of the Transportation Research Board 95th Annual Meeting (pp. 1–17).
Menon, N. (2015). Consumer perception and anticipated adoption of autonomous vehicle technology: Results from multi-population surveys.
Milakis, D., Van Arem, B., & Van Wee, B. (2017). Policy and society related implications of automated driving: A review of literature and directions for future research. Journal of Intelligent Transportation Systems, 21(4), 324-348.
Motamedi, S., Wang, P., Zhang, T., & Chan, C. Y. (2019). Acceptance of full driving automation: personally owned and shared-use concepts. Human factors, 0018720819870658.
Nadafianshahamabadi, R., Corning Padilla, A., Tayarani, M., & Rowangould, G. (2019). Integrated Travel Demand and Land Use Modeling for Evaluating the Congestion and Land Use Effects of Autonomous Vehicles (AVs) (No. 19-02103).
Nair, G. S., Astroza, S., Bhat, C. R., Khoeini, S., & Pendyala, R. M. (2018). An application of a rank ordered probit modeling approach to understanding level of interest in autonomous vehicles. Transportation, 45(6), 1623-1637.
Nazari, F., Noruzoliaee, M., & Mohammadian, A. (2018). Shared Mobility Versus Private Car Ownership: a Multivariate Analysis of Public Interest in Autonomous Vehicles.
Nazari, F., Noruzoliaee, M., & Mohammadian, A. K. (2019). Adoption of Autonomous Vehicles with Endogenous Safety Concerns: A Recursive Bivariate Ordered Probit Model.
Nazari, F., Rahimi, E., & Mohammadian, A. K. (2019a). Simultaneous estimation of battery electric vehicle adoption with endogenous willingness to pay. eTransportation, 1, 100008.
Pendyala, R. M., & Bhat, C. R. (2014). Activity-travel behavior impacts of driverless cars. In 93rd Annual Meeting of the Transportation Research Board.
Rahimi, A., Azimi, G., Asgari, H., Jin, X. (2020a). Adoption and willingness to pay for autonomous vehicles: Study of attitudes and latent classes. Transportation Research Part D: Transport and Environment.
Rahimi, A., Azimi, G., Jin, X. (2020b). Examining Human Attitudes toward Shared Mobility Options and Autonomous Vehicles. Transportation Research Part F: Psychology and Behaviour.
Schoettle, B., & Sivak, M. (2014). Public opinion about self-driving vehicles in China, India, Japan, the US, the UK, and Australia.
Schoettle, B., & Sivak, M. (2015). Potential impact of self-driving vehicles on household vehicle demand and usage.
Shabanpour, R., Golshani, N., Shamshiripour, A., & Mohammadian, A. K. (2018b). Eliciting preferences for adoption of fully automated vehicles using best-worst analysis. Transportation research part C: emerging technologies, 93, 463–478.
Shabanpour, R., Mousavi, S. N. D., Golshani, N., Auld, J., & Mohammadian, A. (2017, June). Consumer preferences of electric and automated vehicles. In 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (pp. 716–720).
Shabanpour, R., Shamshiripour, A., & Mohammadian, A. (2018a). Modeling adoption timing of autonomous vehicles: innovation diffusion approach. Transportation, 45(6), 1607–1621.
Sheng, S., Pakdamanian, E., Han, K., Kim, B., Tiwari, P., Kim, I., & Feng, L. (2019, October). A Case Study of Trust on Autonomous Driving. In 2019 IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 4368-4373). IEEE.
Spurlock, C. A., Sears, J., Wong-Parodi, G., Walker, V., Jin, L., Taylor, M., … & Todd, A. (2019). Describing the users: Understanding adoption of and interest in shared, electrified, and automated transportation in the San Francisco Bay Area. Transportation Research Part D.
Talebian, A., & Mishra, S. (2018). Predicting the adoption of connected autonomous vehicles: A new approach based on the theory of diffusion of innovations. Transportation Research Part C: Emerging Technologies, 95, 363–380.
Zhang, W., Guhathakurta, S., Fang, J., & Zhang, G. (2015). Exploring the impact of shared autonomous vehicles on urban parking demand: An agent-based simulation approach. Sustainable Cities and Society, 19, 34–45.
Zmud, J., Sener, I. N., & Wagner, J. (2016). Consumer acceptance and travel behavior: impacts of automated vehicles (No. PRC 15-49 F). Texas A&M Transportation Institute.

Information & Authors

Information

Published In

Go to International Conference on Transportation and Development 2020
International Conference on Transportation and Development 2020
Pages: 234 - 247
Editor: Guohui Zhang, Ph.D., University of Hawaii
ISBN (Online): 978-0-7844-8313-8

History

Published online: Aug 31, 2020
Published in print: Aug 31, 2020

Permissions

Request permissions for this article.

Authors

Affiliations

Alireza Rahimi [email protected]
1Dept. of Civil and Environmental Engineering, Florida International Univ., Miami, FL. Email: [email protected]
Ghazaleh Azimi [email protected]
2Dept. of Civil and Environmental Engineering, Florida International Univ., Miami, FL. Email: [email protected]
Hamidreza Asgari, Ph.D. [email protected]
3Dept. of Civil and Environmental Engineering, Florida International Univ., Miami, FL. Email: [email protected]
Xia Jin, Ph.D. [email protected]
AICP
4Dept. of Civil and Environmental Engineering, Florida International Univ., Miami, FL. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$80.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$80.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share