Crowding on public transport using smart card data during the COVID-19 pandemic: New methodology and case study in Chile

Author:

Basso Franco,Frez Jonathan,Hernández Hugo,Leiva VíctorORCID,Pezoa Raúl,Varas Mauricio

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference61 articles.

1. Effects of COVID-19 on rail passengers’ crowding perceptions;Aghabayk;Transportation Research Part A: Policy and Practice,2021

2. Classifying COVID-19 based on amino acids encoding with machine learning algorithms;Alkady;Chemometrics and Intelligent Laboratory Systems,2022

3. Estimating the influence of crowding and travel time variability on accessibility to jobs in a large public transport network using smart card big data;Arbex;Journal of Transport Geography,2020

4. Accessibility to opportunities based on public transport gps-monitored data: The case of Santiago, Chile;Basso;Travel Behaviour and Society,2020

5. Valuing crowding in public transport: Implications for cost-benefit analysis;Batarce;Transportation Research Part A: Policy and Practice,2016

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