A dynamic carsharing decision support system

被引：119
作者：
Nourinejad, Mehdi [1 ]
Roorda, Matthew J. [1 ]
机构：
[1] Univ Toronto, Dept Civil Engn, Toronto, ON M5S 1A4, Canada
来源：
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW | 2014年 / 66卷
关键词：
Carsharing; Decision support system; Optimization; Simulation; VEHICLE; OPTIMIZATION; OPERATIONS; DEMAND; GROWTH;
D O I：
10.1016/j.tre.2014.03.003
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
This paper proposes a dynamic optimization-simulation model as a decision support system for one-way carsharing organizations. To reduce the vehicle imbalance in one-way systems, a Vehicle Relocation Optimization model is solved successively in a discrete event simulation. Each event is the arrival of a new user. The model is compared to an a priori benchmark model. Autoshare is chosen as a case study. Results show that increasing the reservation time (time between requesting and picking up a vehicle) from 0 to 30 min reduces fleet size by 86%. The model captures a tradeoff between vehicle relocation hours and fleet size. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码：36 / 50
页数：15
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