TY - JOUR
T1 - Modeling cross-national differences in automated vehicle acceptance
AU - Etzioni, Shelly
AU - Hamadneh, Jamil
AU - Elvarsson, Arnór B.
AU - Esztergár-Kiss, Domokos
AU - Djukanovic, Milena
AU - Neophytou, Stelios N.
AU - Sodnik, Jaka
AU - Polydoropoulou, Amalia
AU - Tsouros, Ioannis
AU - Pronello, Cristina
AU - Thomopoulos, Nikolas
AU - Shiftan, Yoram
N1 - Funding Information:
Funding: This project was partly funded by the Action CA16222 of the European Cooperation in Science and Technology (COST) entitled “Wider Impacts and Scenario Evaluation of Autonomous and Connected Transport” (WISE-ACT).
Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/11/2
Y1 - 2020/11/2
N2 - The technology that allows fully automated driving already exists and it may gradually enter the market over the forthcoming decades. Technology assimilation and automated vehicle acceptance in different countries is of high interest to many scholars, manufacturers, and policymakers worldwide. We model the mode choice between automated vehicles and conventional cars using a mixed multinomial logit heteroskedastic error component type model. Specifically, we capture preference heterogeneity assuming a continuous distribution across individuals. Different choice scenarios, based on respondents’ reported trip, were presented to respondents from six European countries: Cyprus, Hungary, Iceland, Montenegro, Slovenia, and the UK. We found that large reservations towards automated vehicles exist in all countries with 70% conventional private car choices, and 30% automated vehicles choices. We found that men, under the age of 60, with a high income who currently use private car, are more likely to be early adopters of automated vehicles. We found significant differences in automated vehicles acceptance in different countries. Individuals from Slovenia and Cyprus show higher automated vehicles acceptance while individuals from wealthier countries, UK, and Iceland, show more reservations towards them. Nontrading mode choice behaviors, value of travel time, and differences in model parameters among the different countries are discussed.
AB - The technology that allows fully automated driving already exists and it may gradually enter the market over the forthcoming decades. Technology assimilation and automated vehicle acceptance in different countries is of high interest to many scholars, manufacturers, and policymakers worldwide. We model the mode choice between automated vehicles and conventional cars using a mixed multinomial logit heteroskedastic error component type model. Specifically, we capture preference heterogeneity assuming a continuous distribution across individuals. Different choice scenarios, based on respondents’ reported trip, were presented to respondents from six European countries: Cyprus, Hungary, Iceland, Montenegro, Slovenia, and the UK. We found that large reservations towards automated vehicles exist in all countries with 70% conventional private car choices, and 30% automated vehicles choices. We found that men, under the age of 60, with a high income who currently use private car, are more likely to be early adopters of automated vehicles. We found significant differences in automated vehicles acceptance in different countries. Individuals from Slovenia and Cyprus show higher automated vehicles acceptance while individuals from wealthier countries, UK, and Iceland, show more reservations towards them. Nontrading mode choice behaviors, value of travel time, and differences in model parameters among the different countries are discussed.
KW - Automated vehicles
KW - Cross-national survey
KW - Discrete choice
KW - Mixed logit model
KW - Panel data
KW - User acceptance
KW - User preferences
UR - http://www.scopus.com/inward/record.url?scp=85095716667&partnerID=8YFLogxK
U2 - 10.3390/su12229765
DO - 10.3390/su12229765
M3 - Article
AN - SCOPUS:85095716667
SN - 2071-1050
VL - 12
SP - 1
EP - 24
JO - Sustainability (Switzerland)
JF - Sustainability (Switzerland)
IS - 22
M1 - 9765
ER -