01660376

Component

Driverless technology is leading the scheme of autonomous vehicles (AVs) to the ever-evolving transportation mode. On top of that, shared autonomous vehicles (SAVs) system are anticipated as the cleaner, safer and cheaper optimized integrity when AVs finally hit the roads. This sensational transformation will affect travel pattern, transport structure and car sharing market due to the advantages brought by them. To this end, the evaluation of people’s intention on services of SAVs seems to be critical prior to the promotion of this inexpensive mobility on-demand approach. 1036 respondents across a residential area in Nagoya, Japan were surveyed to understand their preference for distinctive services that could be provided by SAVs. Their willingness to pay for different services was also collected in the survey to advance future research about the relationship between people’s socioeconomic characteristics and their preferred services of SAVs. For this purpose, clustering technique – k-modes and Spearman correlation analysis are applied in this study to reveal the correlation between features of people from different categorized clusters and their intention on SAV services. Such study not only help in revealing the demands of different clusters of customers but also states prospective tendency of their choices for stakeholders who are about to run for the operation of SAVs system, and subsequently, develops the optimum transportation mode by thinking of both demand and services as a whole.

This paper was sponsored by TRB committee ADB10 Standing Committee on Traveler Behavior and Values.

18-02485

English

7p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References

Consumer preferences; Intelligent vehicles; Vehicle sharing

Nagoya, Japan

Highways; Operations and Traffic Management; Planning and Forecasting

Transportation Research Board Annual Meeting 2018 Paper #18-02485

TRIS, TRB, ATRI

Jan 8 2018 10:36AM