TY  - JOUR
PY  - 2024//
TI  - Short-term and long-term impacts of shared autonomous vehicle choice behavior
JO  - Transportation research part D: transport and environment
A1  - Huang, Kai
A1  - Han, Xu
A1  - An, Kun
A1  - Liu, Zhiyuan
SP  - e104221
EP  - e104221
VL  - 132
IS  - 
N2  - Shared Autonomous Vehicle (SAV) is an emerging travel mode that can reduce parking spaces and accelerate urban sprawl. The time-space varying demand leads to the imbalance between travel demand and vehicle supply. Using pricing to affect clients' mode choice is a key method for addressing the imbalance problem, which includes long-term pricing and short-term allowance. Hence, in this paper, we propose an innovative method to enhance the SAV utilization rate while considering stochastic demand: fixed price on population mode choice and real-time allowance on personal departure time choice. A mixed integer nonlinear program is formulated to maximize the total profits of SAV operators. To solve this model, a customized gradient search algorithm is proposed. A case study is conducted in Suzhou Industrial Park, China. It reveals the impacts on travel demand and departure time choices and discusses the impacts and policy-making for SAV applications.<p />
LA  - en
SN  - 1361-9209
UR  - http://dx.doi.org/10.1016/j.trd.2024.104221
ID  - ref1
ER  -