01031464

Component

https://doi.org/10.3141/1986-13

http://scholar.google.com...Chor&publication_year=2006

A shared-use vehicle system has a small number of vehicles reserved exclusively for use by a relatively larger group of members. Challenged by accessible and economical public transportation systems, multiple-station shared-use vehicle companies are driven to gain a competitive edge by using an operator-based relocation system to ensure privacy, simplicity, and convenience to their users. To help operators identify measures to maximize resources and enhance service levels, a simulation model is developed, with an emphasis on operator-based relocation techniques. A qualitative analysis conducted on operator-based relocation systems provides insights on the key issues involved and their influences over each other. On the basis of this analysis, a time-stepping simulation model is developed, and three performance indicators are proposed to evaluate the effectiveness of the different relocation techniques. The model has been validated by using commercially operational data from a local shared-use vehicle company. With the existing operational data as the base scenario, two proposed relocation techniques, namely, shortest time and inventory balancing techniques, and various operating parameters are studied. The simulation results have shown that if the inventory balancing relocation technique is used, the system can afford a 10% reduction in car park lots and 25% reduction in staff strength, generating cost savings of approximately 12.8% without lowering the level of service for users.

01042059

English

pp 81-88

2006

Transportation Research Record: Journal of the Transportation Research Board

030909996X

Print

Figures (4) ; References (16)

Competition; Cost effectiveness; Simulation; Vehicle sharing

Shared-use vehicle systems

Inventory balancing; Operator-based relocation systems

Highways; Operations and Traffic Management; Planning and Forecasting; Public Transportation

TRIS, TRB, ATRI

Mar 3 2006 10:23AM

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