Volume 22 Issue 3
Jun.  2022
Turn off MathJax
Article Contents
Article Navigation >  Journal of Traffic and Transportation Engineering  > 2022  >  22(3): 41-54
LI Rui-min, DAI Jing-chen. Review on impact of autonomous driving on travel behaviors[J]. Journal of Traffic and Transportation Engineering, 2022, 22(3): 41-54. doi: 10.19818/j.cnki.1671-1637.2022.03.003
Citation: LI Rui-min, DAI Jing-chen. Review on impact of autonomous driving on travel behaviors[J]. Journal of Traffic and Transportation Engineering, 2022, 22(3): 41-54. doi: 10.19818/j.cnki.1671-1637.2022.03.003
shu

Review on impact of autonomous driving on travel behaviors

doi: 10.19818/j.cnki.1671-1637.2022.03.003

  • Department of Civil Engineering, Tsinghua University, Beijing 100084, China

Funds:

National Key Research and Development Program of China 2019YFB1600100

More Information
  • Author Bio:

    LI Rui-min(1979-), male, professor, PhD, lrmin@tsinghua.edu.cn

  • Received Date: 2022-02-13
  • Publish Date: 2022-06-25
    Abstract
  • The research status of travel behaviors under the influence of autonomous driving was analyzed from three aspects: vehicle travel demand, travel mode choice, and travel time utilzation. The data foundations and methodologies of existing studies on the impact of autonomous driving on travel behaviors were analyzed. The key factors affecting the choice of travel mode in the autonomous driving environment, existing challenges, and future development directions were discussed. Research results indicate that the studies on vehicle travel demand estimation primarily focus on the potential travel of underserved population and usually analyze the potential demand changes through assumptions, which have some deficiencies in terms of the reliability of the assumptions and the accuracy of the results. The studies on travel mode choice show that vehicle service and travel attributes, social demographic and family attributes, travel habits attributes, residential and environmental attributes, personal psychology and preference attributes are key influencing factors. Taking into account of different research objects, scenario design, and analysis methods, the influence of the factors such as gender, age, vehicle license holding, and family structure on travel behaviors remains to be examined. There is great uncertainty and heterogeneity in people's perceptions of the ways and benefits of the use of travel time in the era of autonomous driving, and there is a great need for theoretical models to further discuss the potential change of the use of travel time. Based on the limitations of existing studies on the impact of autonomous driving on travel behaviors, several future improvement directions are provided, including establishing standardized description of autonomous vehicles, enriching data collection methods, carrying out horizontal and longitudinal comparative studies, strengthening the consideration of the heterogeneity of influencing factors, and identifying the interaction mechanism among various travel behaviors.

     

    • FullText(HTML)
  • loading
    • References(54)
  • [1]
    LITMAN T. Autonomous vehicle implementation predictions: implications for transport planning[R]. Victoria: Victoria Transport Policy Institute, 2020.
    [2]
    CHAN Ching-yao. Advancements, prospects, and impacts of automated driving systems[J]. International Journal of Transportation Science and Technology, 2017, 6(3): 208-216. doi: 10.1016/j.ijtst.2017.07.008
    [3]
    HARPER C D, HENDRICKSON C T, MANGONES S, et al. Estimating potential increases in travel with autonomous vehicles for the non-driving, elderly and people with travel-restrictive medical conditions[J]. Transportation Research Part C: Emerging Technologies, 2016, 72: 1-9. doi: 10.1016/j.trc.2016.09.003
    [4]
    DUARTE F, RATTI C. The impact of autonomous vehicles on cities: a review[J]. Journal of Urban Technology, 2018, 25(4): 3-18. doi: 10.1080/10630732.2018.1493883
    [5]
    TAIEBAT M, BROWN A L, SAFFORD H R, et al. A review on energy, environmental, and sustainability implications of connected and automated vehicles[J]. Environmental Science and Technology, 2018, 52(20): 11449-11465.
    [6]
    KESZEY T. Behavioural intention to use autonomous vehicles: systematic review and empirical extension[J]. Transportation Research Part C: Emerging Technologies, 2020, 119: 102732. doi: 10.1016/j.trc.2020.102732
    [7]
    SPENCE J C, KIM Y B, LAMBOGLIA C G, et al. Potential impact of autonomous vehicles on movement behavior: a scoping review[J]. American Journal of Preventive Medicine, 2020, 58(6): 191-199. doi: 10.1016/j.amepre.2020.01.010
    [8]
    DEB S, RAHMAN M M, STRAWDERMAN L J, et al. Pedestrians' receptivity toward fully automated vehicles: research review and roadmap for future research[J]. IEEE Transactions on Human-Machine Systems, 2018, 48(3): 279-290. doi: 10.1109/THMS.2018.2799523
    [9]
    唐立, 卿三东, 徐志刚, 等. 自动驾驶公众接受度研究综述[J]. 交通运输工程学报, 2020, 20(2): 131-146. doi: 10.19818/j.cnki.1671-1637.2020.02.011

    TANG Li, QING San-dong, XU Zhi-gang, et al. Research review on public acceptance of autonomous driving[J]. Journal of Traffic and Transportation Engineering, 2020, 20(2): 131-146. (in Chinese) doi: 10.19818/j.cnki.1671-1637.2020.02.011
    [10]
    秦波, 陈筱璇, 屈伸. 自动驾驶车辆对城市的影响与规划应对: 基于涟漪模型的文献综述[J]. 国际城市规划, 2019, 34(6): 108-114. https://www.cnki.com.cn/Article/CJFDTOTAL-GWCG201906019.htm

    QIN Bo, CHEN Xiao-xuan, QU Shen. The impacts of autonomous vehicle on the cities and planning responses: a literature review based on ripple effect model[J]. Urban Planning International, 2019, 34(6): 108-114. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GWCG201906019.htm
    [11]
    BROWN A, GONDER J, REPAC B. An analysis of possible energy impacts of automated vehicles[C]//MEYER G, BEIKER S. Road Vehicle Automation. Berlin: Springer, 2014: 137-153.
    [12]
    SCHOETTLE B, SIVAK M. The reasons for the recent decline in young driver licensing in the United States[J]. Traffic Injury Prevention, 2014, 15(1): 6-9. doi: 10.1080/15389588.2013.839993
    [13]
    SIVAK M, SCHOETTLE B. Influence of current nondrivers on the amount of travel and trip patterns with self-driving vehicles[R]. Michigan: University of Michigan Transportation Research Institute, 2015.
    [14]
    WADUD Z, MACKENZIE D, LEIBY P. Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles[J]. Transportation Research Part A: Policy and Practice, 2016, 86: 1-18. doi: 10.1016/j.tra.2015.12.001
    [15]
    HARB M, XIAO Yu, CIRCELLA G, et al. Projecting travelers into a world of self-driving vehicles: estimating travel behavior implications via a naturalistic experiment[J]. Transportation, 2018, 45(6): 1671-1685. doi: 10.1007/s11116-018-9937-9
    [16]
    PUDĀNE B, RATAJ M, MOLIN E J E, et al. How will automated vehicles shape users' daily activities? Insights from focus groups with commuters in the Netherlands[J]. Transportation Research Part D: Transport and Environment, 2019, 71: 222-235. doi: 10.1016/j.trd.2018.11.014
    [17]
    SAEED T U, BURRIS M W, LABI S, et al. An empirical discourse on forecasting the use of autonomous vehicles using consumers' preferences[J]. Technological Forecasting and Social Change, 2020, 158: 120130. doi: 10.1016/j.techfore.2020.120130
    [18]
    KIM S H, MOKHTARIAN P L, CIRCELLA G. How, and for whom, will activity patterns be modified by self-driving cars? expectations from the state of Georgia[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2020, 70: 68-80. doi: 10.1016/j.trf.2020.02.012
    [19]
    HABOUCHA C J, ISHAQ R, SHIFTAN Y. User preferences regarding autonomous vehicles[J]. Transportation Research Part C: Emerging Technologies, 2017, 78: 37-49. doi: 10.1016/j.trc.2017.01.010
    [20]
    ETZIONI S, HAMADNEH J, ELVARSSON A B, et al. Modeling cross-national differences in automated vehicle acceptance[J]. Sustainability, 2020, 12(22): 9765. doi: 10.3390/su12229765
    [21]
    WICKI M, GUIDON S, BECKER F, et al. How technology commitment affects mode choice for a self-driving shuttle service[J]. Research in Transportation Business and Management, 2019, 32: 100458. doi: 10.1016/j.rtbm.2020.100458
    [22]
    WINTER K, CATS O, MARTENS K, et al. Identifying user classes for shared and automated mobility services[J]. European Transport Research Review, 2020, 12(1): 36. doi: 10.1186/s12544-020-00420-y
    [23]
    YAP M D, CORREIA G, VAN AREM B. Preferences of travellers for using automated vehicles as last mile public transport of multimodal train trips[J]. Transportation Research Part A: Policy and Practice, 2016, 94: 1-16. doi: 10.1016/j.tra.2016.09.003
    [24]
    CAI Yu-tong, WANG Hong, ONG G P, et al. Investigating user perception on autonomous vehicle (AV) based mobility-on-demand (MOD) services in Singapore using the logit kernel approach[J]. Transportation, 2019, 46(6): 2063-2080. doi: 10.1007/s11116-019-10032-8
    [25]
    GURUMURTHY K M, KOCKELMAN K M. Modeling Americans' autonomous vehicle preferences: a focus on dynamic ride-sharing, privacy and long-distance mode choices[J]. Technological Forecasting and Social Change, 2020, 150: 119792. doi: 10.1016/j.techfore.2019.119792
    [26]
    KRUEGER R, RASHIDI T H, DIXIT V V. Autonomous driving and residential location preferences: evidence from a stated choice survey[J]. Transportation Research Part C: Emerging Technologies, 2019, 108: 255-268. doi: 10.1016/j.trc.2019.09.018
    [27]
    ASHKROF P, DE ALMEIDA CORREIA G H, CATS O, et al. Impact of automated vehicles on travel mode preference for different trip purposes and distances[J]. Transportation Research Record, 2019, 2673(5): 607-616. doi: 10.1177/0361198119841032
    [28]
    PAKUSCH C, MEURER J, TOLMIE P, et al. Traditional taxis vs automated taxis-does the driver matter for millennials?[J]. Travel Behaviour and Society, 2020, 21: 214-225. doi: 10.1016/j.tbs.2020.06.009
    [29]
    BOOTH L, NORMAN R, PETTIGREW S. The potential implications of autonomous vehicles for active transport[J]. Journal of Transport and Health, 2019, 15: 100623. doi: 10.1016/j.jth.2019.100623
    [30]
    CARRESE S, NIGRO M, PATELLA S M, et al. A preliminary study of the potential impact of autonomous vehicles on residential location in Rome[J]. Research in Transportation Economics, 2019, 75: 55-61. doi: 10.1016/j.retrec.2019.02.005
    [31]
    ABE R, KITA Y, FUKUDA D. An experimental approach to understanding the impacts of monitoring methods on use intentions for autonomous vehicle services: survey evidence from Japan[J]. Sustainability, 2020, 12(6): 2157. doi: 10.3390/su12062157
    [32]
    黄浩. 基于扩展计划行为理论的自动驾驶汽车方式选择行为研究[D]. 镇江: 江苏大学, 2019.

    HUANG Hao. Study on mode choice behavior of autonomous vehicle based on an extended theory of planned behavior[D]. Zhenjiang: Jiangsu University, 2019. (in Chinese)
    [33]
    PIATKOWSKI D P. Autonomous shuttles: what do users expect and how will they use them?[J]. Journal of Urban Technology, 2021, 28(3/4): 97-115.
    [34]
    KRUEGER R, RASHIDI T H, ROSE J M. Preferences for shared autonomous vehicles[J]. Transportation Research Part C: Emerging Technologies, 2016, 69: 343-355. doi: 10.1016/j.trc.2016.06.015
    [35]
    WANG Shen-hao, ZHAO Jin-hua. Risk preference and adoption of autonomous vehicles[J]. Transportation Research Part A: Policy and Practice, 2019, 126: 215-229. doi: 10.1016/j.tra.2019.06.007
    [36]
    GAO Jing-ya, RANJBARI A, MACKENZIE D. Would being driven by others affect the value of travel time? Ridehailing as an analogy for automated vehicles[J]. Transportation, 2019, 46(6): 2103-2116. doi: 10.1007/s11116-019-10031-9
    [37]
    ABE R. Preferences of urban rail users for first- and last-mile autonomous vehicles: price and service elasticities of demand in a multimodal environment[J]. Transportation Research Part C: Emerging Technologies, 2021, 126: 103105. doi: 10.1016/j.trc.2021.103105
    [38]
    PAKUSCH C, STEVENS G, BODEN A, et al. Unintended effects of autonomous driving: a study on mobility preferences in the future[J]. Sustainability, 2018, 10(7): 2404. doi: 10.3390/su10072404
    [39]
    KIM S H, CIRCELLA G, MOKHTARIAN P L. Identifying latent mode-use propensity segments in an all-AV era[J]. Transportation Research Part A: Policy and Practice, 2019, 130: 192-207. doi: 10.1016/j.tra.2019.09.015
    [40]
    ZHOU Fan, ZHENG Zu-duo, WHITEHEAD J, et al. Preference heterogeneity in mode choice for car-sharing and shared automated vehicles[J]. Transportation Research Part A: Policy and Practice, 2020, 132: 633-650. doi: 10.1016/j.tra.2019.12.004
    [41]
    ALHAJYASEEN W, ADNAN M, ABUHEJLEH A, et al. Travelers' preferences regarding autonomous mobility in the State of Qatar[J]. Personal and Ubiquitous Computing, 2021, 25(1): 141-149. doi: 10.1007/s00779-020-01407-1
    [42]
    ETZIONI S, DAZIANO R A, BEN-ELIA E, et al. Preferences for shared automated vehicles: a hybrid latent class modeling approach[J]. Transportation Research Part C: Emerging Technologies, 2021, 125: 103013. doi: 10.1016/j.trc.2021.103013
    [43]
    SWEET M N. User interest in on-demand, shared, and driverless mobility: evidence from stated preference choice experiments in Southern Ontario[J]. Travel Behaviour and Society, 2021, 23: 120-133.
    [44]
    姚荣涵, 梁亚林, 刘锴, 等. 考虑合乘的共享自动驾驶汽车选择行为实证分析[J]. 交通运输系统工程与信息, 2020, 20(1): 228-233. https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT202001035.htm

    YAO Rong-han, LIANG Ya-lin, LIU Kai, et al. Empirical analysis of choice behavior for shared autonomous vehicles with concern of ride-sharing[J]. Journal of Transportation Systems Engineering and Information Technology, 2020, 20(1): 228-233. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT202001035.htm
    [45]
    KESERU I, MACHARIS C. Travel-based multitasking: review of the empirical evidence[J]. Transport Reviews, 2018, 38(2): 162-183. doi: 10.1080/01441647.2017.1317048
    [46]
    SUN S S, WONG Y D, RAU A. Economic assessment of a dynamic autonomous road transit system for Singapore[J]. Research in Transportation Economics, 2020, 83: 100843.
    [47]
    MILAKIS D, VAN AREM B, VAN WEE B. Policy and society related implications of automated driving: a review of literature and directions for future research[J]. Journal of Intelligent Transportation Systems, 2017, 21(4): 324-348.
    [48]
    SIVAK M, SCHOETTLE B. Would self-driving vehicles increase occupant productivity[R]. Michigan: The University of Michigan, 2016.
    [49]
    BANSAL P, KOCKELMAN K M. Are we ready to embrace connected and self-driving vehicles? a case study of Texans[J]. Transportation, 2018, 45(2): 641-675.
    [50]
    CYGANSKI R, FRAEDRICH E, LENZ B. Travel-time valuation for automated driving: a use-case-driven study[C]// TRB. 94th Annual Meeting of the Transportation Research Board. Washington DC: TRB, 2015: 15-4259.
    [51]
    PUDĀNE B, MOLIN E J E, ARENTZE T A, et al. A time-use model for the automated vehicle-era[J]. Transportation Research Part C: Emerging Technologies, 2018, 93: 102-114.
    [52]
    SINGLETON P A. Discussing the "positive utilities" of autonomous vehicles: will travellers really use their time productively?[J]. Transport Reviews, 2019, 39(1): 50-65.
    [53]
    KASSENS-NOOR E, WILSON M, CAI M, et al. Autonomous vs. self-driving vehicles: the power of language to shape public perceptions[J]. Journal of Urban Technology, 2021, 28(3/4): 5-24.
    [54]
    BARBOUR N, MENON N, ZHANG Yu, et al. Shared automated vehicles: a statistical analysis of consumer use likelihoods and concerns[J]. Transport Policy, 2019, 80: 86-93.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (1806) PDF downloads(332) Cited by()
    Proportional views
    Related

    Copyright《Journal of Traffic and Transportation Engineering》编辑部陕ICP备05001904号-1

    Address ：Editorial Department of Journal of Traffic and Transportation Engineering, Chang 'an University, Middle Section of South Second Ring Road, Xi 'an, Shaanxi（710064） Tel：029-82334388 Email：jygc@chd.edu.cn

    All visit:Today's visit:

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return