Next Article in Journal
Opportunities and Challenges for the Construction of a Smart City Geo-Spatial Framework in a Small Urban Area in Central China
Previous Article in Journal
A Noble Proposal for Internet of Garbage Bins (IoGB)
Open AccessArticle

Public Preferences and Willingness to Pay for Shared Autonomous Vehicles Services in Nagoya, Japan

1
Department of Civil Engineering, Nagoya University, Nagoya 464-8601, Japan
2
Institute of Materials and Systems for Sustainability, Nagoya University, Nagoya 464-8601, Japan
*
Author to whom correspondence should be addressed.
Smart Cities 2019, 2(2), 230-244; https://doi.org/10.3390/smartcities2020015
Received: 1 May 2019 / Revised: 23 May 2019 / Accepted: 6 June 2019 / Published: 11 June 2019
(This article belongs to the Section Smart Transportation)
Shared autonomous vehicle systems are anticipated to offer cleaner, safer, and cheaper mobility services when autonomous vehicles are finally implemented on the roads. The evaluation of people’s intentions regarding shared autonomous vehicle services appears to be critical prior to the promotion of this emerging mobility on demand approach. Based on a stated preference survey in Nagoya, Japan, the preference for shared autonomous vehicle services as well as willingness to pay for these services were examined among 1036 respondents in order to understand the relationship between people’s socioeconomic characteristics and their preferred shared autonomous vehicle services. For this purpose, k-modes clustering technique was selected and six clusters were obtained. Six groups with respect to different interests on shared autonomous vehicle services were clustered. The result of correlation analysis and discussion of willingness to pay on services provided insightful results for the future shared autonomous vehicle services. This study not only aids in revealing the demands of customer different clusters, but also states the prospective needs of users for stakeholders from research, policymaker and industry field, who are preparing to work on promoting shared autonomous vehicle systems, and subsequently, develops an optimum transportation mode by considering both demand and services as a whole. View Full-Text
Keywords: next generation mobility; shared autonomous vehicles; service preferences; k-modes; clustering analysis; stated preference; willingness to pay next generation mobility; shared autonomous vehicles; service preferences; k-modes; clustering analysis; stated preference; willingness to pay
Show Figures

Figure 1

MDPI and ACS Style

Hao, M.; Li, Y.; Yamamoto, T. Public Preferences and Willingness to Pay for Shared Autonomous Vehicles Services in Nagoya, Japan. Smart Cities 2019, 2, 230-244.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

1
Back to TopTop