Optimizing the Strategic Decisions for One-Way Station-Based Carsharing Systems: A Mean-CVaR Approach

Abstract

generation social systems and mobilities". We are deeply grateful to Toyota Motor Corporation for providing the data and valuable comments on our work. Thanks are also given to China Scholarship Council (CSC) for providing financial support to the author Kai Zhang during his Ph.D. study.

Linear control policies for online vehicle relocation in shared mobility systems

“…A future direction of study will be to use nonlinear control policies (Takano & Gotoh, 2011 with the aim of improving the relocation performance. One promising approach is to introduce a risk measure into the vehicle relocation problem (Zhang et al, 2021). Another direction for future research is to more accurately reflect reality in the optimization model.…”

A survey on emergent trends in the optimization of car‐sharing systems

“…Other literature contributions address both the FS and the SL problem. Zhang et al (2021) focus on solving the two problems in OW station-based CSSs, under uncertain demands, maximizing the profit and minimizing the risk. The profit is the difference between the total revenue and the operating costs due to both parking spaces and purchased vehicles.…”

Modeling and optimization for carsharing services: A literature review

“…In order to determine the parking planning and vehicle allocation for the one-way (including station-based and free-floating) CSSs, Lu et al (2018) proposed a two-stage stochastic integer programming model and developed a branch-andcut algorithm with mixed-integer, rounding-enhanced benders cuts to solve the model. Similarly, Zhang et al (2021) introduced a two-stage risk-averse stochastic model for the determination of station location, station capacity, and fleet size. A branch-and-cut algorithm and a scenario decomposition algorithm were designed to solve the proposed model.…”

“…Some studies have tried to tackle the tactical decision-making problems based on the time-space network ( Boyac ı et al, 2015 ;Huang et al, 2020a ;Lu et al, 2018 ;Zhang et al, 2021 ). Specifically, Fan (2014) developed a multi-stage stochastic linear programming model to optimize the tactical allocation (i.e., deployment) of vehicles for one-way station-based carsharing systems with the demand uncertainty taken into account.…”