Locating key stations of a metro network using bi-objective programming: discrete and continuous demand mode
Document Type
Journal Article
Publication Date
2019
Subject Area
mode - subway/metro, infrastructure - station, ridership - demand, planning - methods, planning - travel demand management
Keywords
Rail rapid transit, Metro network design, Fuzzy goal programming
Abstract
This study proposes two bi-objective optimization problems for locating key stations of a metro network in both discrete and continuous demand modes. Traditionally, designing a metro network based on optimization techniques consists of two approaches. The first approach locates a number of alignments and their stations simultaneously, while the second approach involves locating key stations, designing a core network, and locating secondary stations. In locating key stations processed by a single objective model, the number of produced and attracted trips to the key stations is maximized. This paper considers a second objective for this stage to maximize the coverage of key stations on origin/destination (OD) trips. A fuzzy goal programming model is established to solve the bi-objective model and provide some Pareto-optimal solutions. The previous single objective model and the proposed model with continuous demand mode are applied to a real network. Results show that the proposed model significantly increases the coverage of key stations on OD trips with only a slight reduction in the number of produced and attracted trips.
Rights
Permission to publish the abstract has been given by SpringerLink, copyright remains with them.
Recommended Citation
Mohri, S.S., & Akbarzadeh, M. (2019). Locating key stations of a metro network using bi-objective programming: discrete and continuous demand mode. Public Transport, Vol. 11, pp. 321-340.
