Top

International Journal of Intelligent Transportation Systems Research

Published in:

06-08-2024

Autonomous Cars and Consumer Choices: A Stated Preference Approach

Author: Hiroaki Miyoshi

Published in: International Journal of Intelligent Transportation Systems Research | Issue 3/2024

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

This study aims to identify the factors that influence consumers' choice of autonomous cars in their new car purchase behavior. We surveyed stated preferences for autonomous driving technology and then analyzed the survey data using a multinominal logit model to examine how various factors—including price, consumer attributes, and respondents' evaluations of autonomous car characteristics—influence consumers' choice of car technology. The results of analysis indicate that experience with adaptive cruise control (ACC), as well as expectations about the enjoyment that autonomous cars will bring to consumers' daily lives, have a significant impact on their decision.

next article BlockToll: A Hierarchical Blockchain Based Secure Toll Collection System for Intelligent Transportation System

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

ATZelectronics worldwide

ATZlectronics worldwide is up-to-speed on new trends and developments in automotive electronics on a scientific level with a high depth of information.

Order your 30-days-trial for free and without any commitment.

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

ATZelektronik

Die Fachzeitschrift ATZelektronik bietet für Entwickler und Entscheider in der Automobil- und Zulieferindustrie qualitativ hochwertige und fundierte Informationen aus dem gesamten Spektrum der Pkw- und Nutzfahrzeug-Elektronik.

Lassen Sie sich jetzt unverbindlich 2 kostenlose Ausgabe zusenden.

inform now

[13] provides a comprehensive review of the literature on stated preference/choice studies related to automated vehicles.

Contents of SP surveys in this study are described in detail in [14].

To facilitate understanding, the three car classes (ADAS-equipped cars, Level-3 cars, and Level-4 cars) were described to survey respondents respectively as assisted-driving cars, partially autonomous cars, and highly autonomous cars.

Note that subclass R3 is not used in the survey.

For this portion of the survey, a range of highways permitting autonomous driving was indicated, and survey respondents were shown one of the following three options, selected at random: (1) Major highways (Tomei, etc.), (2) Highways with two lanes in each direction, (3) All highways.

This refers to the frequency with which take-over requests (TORs) are issued. Survey respondents were shown one of the following four options, selected at random: (1) once per hour, (2) once per day, (3) once per week, (4) once per month.

This refers to the length of time within which a human driver must respond to a take-over request. Survey respondents were shown one of the following four options, selected at random: (1) immediately, (2) within 3 seconds, (3) within 10 seconds, (4) within 30 seconds.

This refers to the frequency of minimum-risk maneuver (MRM) incidents. Survey respondents were shown one of the following four options, selected at random: (1) once per day, (2) once per month, (3) once per year, (4) once every two years.

See [17] for further information except (B-4).

This survey queried household income in a multiple-choice format, with a single option for all income levels above 20 million yen. To exclude artifacts of this question design from the explanatory variable for household income, we introduce a dummy variable indicating income above 20 million yen.

For example, gasoline cars with the engine displacement of above 2000cc are included in standard sized cars.

Nordhoff, S., Kyriakidis, M., Van Arem, B., Happee, R.: A multi-level model on automated vehicle acceptance (MAVA): a review-based study. Theor. Issues Ergon. Sci. 20(6), 682–710 (2019). https://doi.org/10.1080/1463922x.2019.1621406CrossRef

Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27(3), 425–478 (2003). https://doi.org/10.2307/30036540CrossRef

Venkatesh, V., Thong, J.Y.L., Xu, X.: Unified theory of acceptance and use of technology: a synthesis and the road ahead. J. Assoc. Inf. Syst. 17(5), 328–376 (2016). https://doi.org/10.17705/1jais.00428CrossRef

Bansal, P., Kockelman, K.M., Singh, A.: Assessing public opinions of and interest in new vehicle technologies: an Austin perspective. Transp. Res. Part C: Emerg. Technol. 67, 1–14 (2016). https://doi.org/10.1016/j.trc.2016.01.019CrossRef

Jiang, Y., Zhang, J., Wang, Y., Wang, W.: Capturing ownership behavior of autonomous vehicles in Japan based on a stated preference survey and a mixed logit model with repeated choices. Int. J. Sustain. Transp. 13(10), 788–801 (2018). https://doi.org/10.1080/15568318.2018.1517841CrossRef

Liu, P., Guo, Q., Ren, F., Wang, L., Xu, Z.: Willingness to pay for self-driving vehicles: Influences of demographic and psychological factors. Transp. Res. C: Emerg. Technol. 100, 306–317 (2019). https://doi.org/10.1016/j.trc.2019.01.022CrossRef

Liu, P., Yang, R., Xu, Z.: Public acceptance of fully automated driving: effects of social trust and risk/benefit perceptions. Risk Anal. 39(2), 326–341 (2019). https://doi.org/10.1111/risa.13143CrossRef

Shabanpour, R., Golshani, N., Shamshiripour, A., Mohammadian, A.: Eliciting preferences for adoption of fully automated vehicles using best-worst analysis. Transp. Res. C Part C: Emerg. Technol. 93, 463–478 (2018). https://doi.org/10.1016/j.trc.2018.06.014CrossRef

Tan, L., Ma, C., Xu, X., and Xu, J., Choice behavior of autonomous vehicles based on logistic models. Sustainability, 12(1): (2019). https://doi.org/10.3390/su12010054

10.

Daziano, R.A., Sarrias, M., Leard, B.: Are consumers willing to pay to let cars drive for them? Analyzing response to autonomous vehicles. Transp. Res. Part C: Emerg. Technol. 78, 150–164 (2017). https://doi.org/10.1016/j.trc.2017.03.003CrossRef

11.

Haboucha, C.J., Ishaq, R., Shiftan, Y.: User preferences regarding autonomous vehicles. Transp. Res. Part C: Emerg. Technol. 78, 37–49 (2017). https://doi.org/10.1016/j.trc.2017.01.010CrossRef

12.

Potoglou, D., Whittle, C., Tsouros, I., Whitmarsh, L.: Consumer intentions for alternative fuelled and autonomous vehicles: a segmentation analysis across six countries. Transp. Res. Part D: Transp. Environ. 79, 1–17 (2020). https://doi.org/10.1016/j.trd.2020.102243CrossRef

13.

Gkartzonikas, C., Gkritza, K.: What have we learned? A review of stated preference and choice studies on autonomous vehicles. Transp. Res. Part C: Emerg. Technol. 98, 323–337 (2019). https://doi.org/10.1016/j.trc.2018.12.003CrossRef

14.

University of Tokyo, and Doshisha University (commissioned by NEDO), Research on assessment of the impact of automated driving on society and the economy and on measures to promote deployment (In Japanese), 2023 available at https://www.sip-adus.go.jp/rd/ . Accessed 30 Nov 2023

15.

Suda, Y., Miyoshi, H.: Development of assessment methodology for socioeconomic impacts of automated driving including traffic accident reduction. In: SIP 2nd Phase: Automated Driving for Universal Services-Final Results Report (2018-2022), pp. 173–179. (2022). Available at https://www.sip-adus.go.jp/rd/rd_page04.php. Accessed 30 Nov 2023

16.

Nishihori, Y., Morikawa, T.: Analysis of the important factors affecting the acceptance of autonomous vehicles before and after test ride: Considering the awareness difference for technology and contents of test ride. J City Plann Inst Jpn 54(3), 696–702 (2019). Available at https://cir.nii.ac.jp/crid/1390845702311790720. Accessed 30 Nov 2023 (In Japanese)

17.

Miyaki, Y.: Surveys and evaluations for fostering public acceptance. In: SIP 2nd Phase: Automated Driving for Universal Services-SIP 2nd Phase —Mid-Term Results Report (2018–2020), 021, pp. 124-129. Available at https://www.sip-adus.go.jp/rd/rd_page03.php . Accessed 30 Nov 2023

18.

Kyriakidis, M., Happee, R., de Winter, J.C.F.: Public opinion on automated driving: results of an international questionnaire among 5000 respondents. Transp. Res. Part F: Traff. Psychol. Behav. 32, 127–140 (2015). https://doi.org/10.1016/j.trf.2015.04.014CrossRef

19.

Dong, X., DiScenna, M., Guerra, E.: Transit user perceptions of driverless buses. Transportation 46(1), 35–50 (2017). https://doi.org/10.1007/s11116-017-9786-yCrossRef

20.

Krueger, R., Rashidi, T.H., Rose, J.M.: Preferences for shared autonomous vehicles. Transp. Res. Part C: Emerg. Technol. 69, 343–355 (2016). https://doi.org/10.1016/j.trc.2016.06.015CrossRef

21.

Menon, N.: Autonomous vehicles: An empirical assessment of consumers' perceptions, intended adoption, and impacts on household vehicle ownership, University of South Florida, available at https://digitalcommons.usf.edu . Accessed 30 Oct 2023

22.

Nordhoff, S., de Winter, J., Kyriakidis, M., van Arem, B., and Happee, R., “Acceptance of driverless vehicles: results from a large cross-national questionnaire study”, J. Adv. Transp. 1-22 (2018). https://doi.org/10.1155/2018/5382192

23.

Revelle, W.R.: psych: Procedures for personality and psychological research (Version 2.3.9) [Computer software]. 2023, available at https://cran.r-project.org/web/packages/psych/psych.pdf (accessed September 30, 2023)

24.

Croissant, Y.: Estimation of multinomial logit models in R: The mlogit Packages. J. Stat. Softw. 95(11), 1–41 (2020). https://doi.org/10.18637/jss.v095.i11CrossRef

25.

Taniguchi, A., Enoch, M., Theofilatos, A., Ieromonachou, P.: Understanding acceptance of autonomous vehicles in Japan, UK, and Germany. Urban Plann. Transp. Res. 10(1), 514–535 (2022). https://doi.org/10.1080/21650020.2022.2135590CrossRef

26.

Miyaki, Y.: Public attitudes towards automated driving. Trends in the Sciences 27(2), 100–104 (2022). https://doi.org/10.5363/tits.27.2_100. (In Japanese)CrossRef

Title: Autonomous Cars and Consumer Choices: A Stated Preference Approach
Author: Hiroaki Miyoshi
Publication date: 06-08-2024
Publisher: Springer US
Published in: International Journal of Intelligent Transportation Systems Research / Issue 3/2024
Print ISSN: 1348-8503
Electronic ISSN: 1868-8659
DOI: https://doi.org/10.1007/s13177-024-00408-1

Springer Professional

Autonomous Cars and Consumer Choices: A Stated Preference Approach

Abstract

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

ATZelectronics worldwide

Springer Professional "Technik"

ATZelektronik

Other articles of this Issue 3/2024

Short-Term Traffic Speed Prediction Based on AGC-LSTM with Multi-Source Data Integration

A Novel Deep Learning-Driven Smart System for Lane Change Decision-Making

Edge Cloud Assisted Quantum LSTM-based Framework for Road Traffic Monitoring

CM3-VSL: Cooperative Multi-goal Multi-stage Multi-agent VSL Traffic Control

DA-RNN-Based Bus Arrival Time Prediction Model

Optimization of Truck Driver Cab Ergonomic for Commercial Truck Based on Ramsis: Enhancing Driver Comfort and Safety

Premium Partners

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

ATZelectronics worldwide

Springer Professional "Technik"

ATZelektronik

Short-Term Traffic Speed Prediction Based on AGC-LSTM with Multi-Source Data Integration

A Novel Deep Learning-Driven Smart System for Lane Change Decision-Making

Edge Cloud Assisted Quantum LSTM-based Framework for Road Traffic Monitoring

CM3-VSL: Cooperative Multi-goal Multi-stage Multi-agent VSL Traffic Control

DA-RNN-Based Bus Arrival Time Prediction Model

Optimization of Truck Driver Cab Ergonomic for Commercial Truck Based on Ramsis: Enhancing Driver Comfort and Safety