Locating key stations of a metro network using bi-objective programming: discrete and continuous demand mode

Seyed Sina Mohri () and Meisam Akbarzadeh ()
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Seyed Sina Mohri: Isfahan University of Technology
Meisam Akbarzadeh: Isfahan University of Technology

Public Transport, 2019, vol. 11, issue 2, No 5, 340 pages

Abstract: 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.

Keywords: Rail rapid transit; Metro network design; Fuzzy goal programming (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s12469-019-00205-0

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