Three independent forces are converging in the transportation field: on-demand service; shared economy; and autonomous vehicles (AV)—together they promise to re-draw the transportation landscape as we know it. However, along what trajectory they will evolve remains largely uncertain. JTL brings the behavioral perspective to bear on this revolution through the lens of how humans interact with transportation technology. We focus on three areas of inquiry: 1. examining the formation process of people’s preference for autonomous vehicles, and monitoring the emotional and physiological responses during the AV ride; 2. embedding the shared AV service within the public transportation system, including information, price, operation and institution integration; and 3. envisioning how municipal governments can devise AV policies to produce more equitable, sustainable, efficient, and livable cities.
|Embedding Autonomous Vehicle Sharing in Public Transit System: An Example of Last Mile Problem, , Transportation Research Board 96th Annual Meeting, (2017)||
This paper studies the potential impacts of autonomous vehicle (AV) sharing with mobility-on demand service on the public transit system. We analyze the current travel demand in the public transit system in Singapore with a special focus on the first-/last-mile problem during morning peak hours. The first-/last-mile in this paper is defined as the gap between origin/destination and the heavy rail stations. A feasible method to integrate AV sharing in current transit system is proposed, which...