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

• Tipo: Artigo em Revista Científica Internacional
• Data: 2023

Autores

Manuel Filgueiras (Autor) FEUP; Konstantinos Gkiotsalitis (Autor) Outra; Menno Yap (Autor) Outra; Oded Cats (Autor) Outra; António Lobo (Autor) FEUP; Sara Ferreira (Autor) FEUP

Revista

A Revista está pendente de validação pelos Serviços Administrativos.

Título: JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS

Vol. 149 Nº 4

Página Inicial: 04023020

ISSN: 2473-2907

Indexação

ISI Web of Knowledge - 0 Citações

ISI Web of Science

Scopus - 0 Citações

Classificação Científica

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia civil

FOS: Ciências da engenharia e tecnologias > Engenharia civil

Projetos Associados

DynamiCITY - DynamiCITY: Promovendo a adaptação dinâmica de cidades inteligentes para lidar com crises e disrupções

Outras Informações

ID Authenticus: P-00X-ZHN

DOI: 10.1061/jtepbs.teeng-7176

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 16