A weighted travel time index based on data from Uber Movement

Autor(es)

Vieira, Renato S. ^{[1, 2]} ; Haddad, Eduardo A. ^[1]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, NEREUS, Av Prof Luciano Gualberto 908, FEA 1, BR-05508900 Sao Paulo - Brazil

^[2] Univ Catolica Brasilia, SGAN, 916 Modulo B Ave W5 Asa Norte, BR-70790160 Brasilia, DF - Brazil

• Tipo de documento: Artigo Científico
• Fonte: EPJ DATA SCIENCE; v. 9, n. 1 AUG 8 2020.
• Citações Web of Science: 0

Resumo

In this paper, we combine data from Uber Movement and from a representative household travel survey to constructs a weighted travel time index for the Metropolitan Region of Sao Paulo. The index is calculated based on the average travel time of Uber trips taken between each pair of traffic zone and in each hour between January 1st, 2016 to December 31, 2018. The index is weighted based on trips reported in a household travel survey that was designed to be statistically representative of all trips made in the city during a typical business day. We show that the index has a strong correlation with traditional measures of congestion, however, with a broader coverage of the road network. Finally, we use the index to run a multivariate ex-post analysis that estimates the effect of different events on traffic congestion in the city, including holidays, public transit strikes, road shutdowns, rain and major sport events. (AU)

• Processo FAPESP: 14/50848-9 - INCT 2014: INCT para Mudanças Climáticas (INCT-MC)
• Beneficiário: Jose Antonio Marengo Orsini
• Modalidade de apoio: Auxílio à Pesquisa - Programa de Pesquisa sobre Mudanças Climáticas Globais - Temático