Browsing by Author "Szeto, W. Y."

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A review of bicycle-sharing service planning problems
(2020-08-01)
Shui, C. S.
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Szeto, W. Y.
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運輸與物流管理系註：原交通所+運管所
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Department of Transportation and Logistics Management
This paper reviews and systematically classifies the existing literature of bicycle-sharing service planning problems (BSPPs) at strategic, tactical, and operational decision levels with the reference to the novel bicycle sharing service planning process introduced herein. The current research gaps are identified and discussed. The future research directions of the three decision level problems are proposed according to four main categories, namely new diversity, realism, integrality, and technology. This review also points out important future research directions for multi-level BSPPs and the integration of bicycle sharing systems with existing multi-modal transportation systems.
Reliability-based stochastic transit assignment with capacity constraints: Formulation and solution method
(2013-10-01)
Szeto, W. Y.
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Jiang, Yu
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Wong, K. I.
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Solayappan, Muthu
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運輸與物流管理系註：原交通所+運管所
This paper proposes a Linear Complementarity Problem (LCP) formulation for the reliability-based stochastic transit assignment problem with capacity constraints and non-additive link costs, where in-vehicle travel times and waiting times are uncertain. The capacity constraints are developed via the notions of effective capacity and chance constraints. An equivalent route-based linear program (LP) for the proposed problem is formulated to determine the patronage of each line section, critical links, critical service frequencies, unmet demand and the network capacity, which considers the risk-aversive behavior of travelers. A solution method is developed, utilizing the IC-shortest path algorithm, the column generation technique, and the revised simplex method, to solve the proposed LP with guaranteed finite convergence. Numerical experiments are also set up to illustrate the properties of the problem and the application of the proposed model for reliability analysis. (C) 2011 Elsevier Ltd. All rights reserved.