A decision support system for vehicle relocation operations in carsharing systems

被引：251

作者：

Kek, Alvina G. H. ^{[2
]}

Cheu, Ruey Long ^{[1
]}

Meng, Qiang ^{[3
]}

Fung, Chau Ha ^{[3
]}

机构：

[1] Univ Texas El Paso, Dept Civil Engn, El Paso, TX 79968 USA

[2] ExxonMobil Asia Pacific Pte Ltd, Asia Pacific Prod Scheduling, Singapore 628498, Singapore

[3] Natl Univ Singapore, Dept Civil Engn, Singapore 117576, Singapore

来源：

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW | 2009年 / 45卷 / 01期

关键词：

Carsharing; Decision support system; Optimization; Simulation;

D O I：

10.1016/j.tre.2008.02.008

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This paper presents a novel three-phase optimization-trend-simulation (OTS) decision support system for carsharing operators to determine a set of near-optimal manpower and operating parameters for the vehicle relocation problem. Tested on a set of commercially operational data from a carsharing company in Singapore, the simulation results suggest that the manpower and parameters recommended by the OTS system lead to a reduction in staff cost of 50%, a reduction in zero-vehicle-time ranging between 4.6% and 13.0%, a maintenance of the already low full-port-time and a reduction in number of relocations ranging between 37.1% and 41.1%. (C) 2008 Elsevier Ltd. All rights reserved.

引用

页码：149 / 158

页数：10

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