Autonomous Vehicles Preference Study with the consideration of Motorcyclists in Taiwan

Abstract

Utilizing information and communication technologies (ICT) for the smart city is considered as a management strategy for growing population and rapid urbanization situation. Autonomous vehicles (AVs) will play a role to improve road safety, relieve congestion, save energy, and reduce air pollution. Moreover, it would be also a solution to solve the first mile and last-mile problem in transportation. Shared autonomous vehicle (SAV) is a service for public transportation, or paratransit system. Once SAV service is applied in an urban city, the new mode will have new interactions with existing modes. Besides, an emerging technology breakthrough is accompanied by user adoption and reliability. This paper proposes a demand-supply conceptual framework for studying the possible operations of SAVs. The demand side is modeled through multinomial logit models (MNL) based on a survey. The MNL is used to analyze travelers' preferences for SAVs and Biogeme software to estimate parameters. The results show that SAV is more likely to be used by people who use public transit frequently, have a ride-sharing experience, and are female.