A System of Shared Autonomous Vehicles Combined with Park-And-Ride in Residential Areas

Yefang Zhou, Yanyan Li, Mingyang Hao and Toshiyuki Yamamoto
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Yefang Zhou: Graduate School of Engineering, Nagoya University, Nagoya 4648601, Japan
Yanyan Li: Institute of Materials and Systems for Sustainability, Nagoya University, Nagoya 4648601, Japan
Mingyang Hao: Graduate School of Engineering, Nagoya University, Nagoya 4648601, Japan
Toshiyuki Yamamoto: Institute of Materials and Systems for Sustainability, Nagoya University, Nagoya 4648601, Japan

Sustainability, 2019, vol. 11, issue 11, 1-15

Abstract: As suburbanization and unprecedented population aging are converging, enhanced personal mobility for suburban residents is required. In this study, a collaborative scheme involving park-and-ride services associated with public transport and a shared autonomous vehicle system are proposed. Two residential areas in the Nagoya metropolitan region, Japan, are considered: a residential area at the outer edge of a subway line and a commuter town with a nearby railway station. Three user groups are assumed: park-and-ride commuters who park shared autonomous vehicles at the station and take the train to their workplaces; inbound commuters who disembark from trains at the station and use the vehicles to reach their workplaces within the target area; and elderly and disabled residents, who use shared autonomous vehicles for trips within the target area. The system performance is investigated through agent-based simulation. The results suggest that, in the edge case, approximately 400 shared autonomous vehicles can facilitate more than 10,000 trips at an appropriate level of service. For the commuter town, fewer than 400 vehicles can provide rapid responses with a wait time of approximately 5 min for more than 5000 trips per day. Thus, the proposed system can feasibly provide a quick response service.

Keywords: autonomous vehicle; park and ride; car sharing; suburban area (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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