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Title:

Two-Stage Stochastic Programming Model for Robust Personal Rapid Transit Network Design

Accession Number:

01626913

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/isbn/9780309442091

Abstract:

This study investigated the personal rapid transit (PRT) guideway network design problem at a strategic level. PRT is known as an on-demand mobility method serving the first or last mile of travel demand, which can fluctuate significantly during a day. This on-demand property may make the system vulnerable to changes in the pattern of demand. The robustness of the PRT guideway network refers to the capability to fit different demand patterns. The motivation of this study was to take the uncertainty of demand into consideration in the process of network design to enhance the robustness of the PRT guideway network in operation. This problem was formulated as a two-stage stochastic linear programming model. The model was applied to a case study with real travel demand data from Singapore. The results of the comparison study show that the network designed via the proposed model is robust and cost-effective.

Monograph Accession #:

01629807

Report/Paper Numbers:

17-04151

Language:

English

Authors:

Zhao, Kangjia
Jin, Jian Gang
Lee, Der-Horng

Pagination:

pp 152–162

Publication Date:

2017

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2650
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309442091

Media Type:

Digital/other

Features:

Figures (5) ; Photos; References (18) ; Tables (2)

Geographic Terms:

Subject Areas:

Design; Planning and Forecasting; Public Transportation

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 11:35AM

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