Print Email Facebook Twitter Bus Network Design and Frequency Setting in the Post-COVID-19 Pandemic Title Bus Network Design and Frequency Setting in the Post-COVID-19 Pandemic: The Case of London Author Filgueiras, Manuel (Universidade do Porto) Gkiotsalitis, Konstantinos (University of Twente) Yap, M.D. (TU Delft Transport and Planning) Cats, O. (TU Delft Transport and Planning) Lobo, António (Universidade do Porto) Ferreira, Sara (Universidade do Porto) Date 2023 Abstract 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. To reference this document use: http://resolver.tudelft.nl/uuid:e505fbcf-d1b5-4a23-aa42-aabbd1c03ee7 DOI https://doi.org/10.1061/JTEPBS.TEENG-7176 Embargo date 2023-08-13 ISSN 2473-2907 Source Journal of Transportation Engineering Part A: Systems, 149 (4) Bibliographical note Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2023 Manuel Filgueiras, Konstantinos Gkiotsalitis, M.D. Yap, O. Cats, António Lobo, Sara Ferreira Files PDF JTEPBS.TEENG_7176.pdf 1.61 MB Close viewer /islandora/object/uuid:e505fbcf-d1b5-4a23-aa42-aabbd1c03ee7/datastream/OBJ/view