Bus Network Design and Frequency Setting in the Post-COVID-19 Pandemic: The Case of London

Manuel Filgueiras, Konstantinos Gkiotsalitis*, Menno Yap, Oded Cats, António Lobo, Sara Ferreira

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review


A transit network design frequency setting model is proposed to cope with the postpandemic passenger demand. The multiobjective transit network design and frequency setting problem (TNDFSP) seeks to find optimal routes and their associated frequencies to operate public transport services in an urban area. The objective is to redesign the public transport network to minimize passenger costs without incurring massive changes to its former composition. The proposed TNDFSP model includes a route generation algorithm (RGA) that generates newlines in addition to the existing lines to serve the most demanding trips, and passenger assignment (PA) and frequency setting (FS) mixed-integer programming models that distribute the demand through the modified bus network and set the optimal number of buses for each line. Computational experiments were conducted on a test network and the network comprising the Royal Borough of Kensington and Chelsea in London.

Original languageEnglish
Article number04023020
JournalJournal of Transportation Engineering Part A: Systems
Issue number4
Publication statusPublished - 2023

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