| Full text | |
| Author(s): |
Total Authors: 2
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| Affiliation: | [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
Total Affiliations: 2
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| Document type: | Journal article |
| Source: | EPJ DATA SCIENCE; v. 9, n. 1 AUG 8 2020. |
| Web of Science Citations: | 0 |
| Abstract | |
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) | |
| FAPESP's process: | 14/50848-9 - INCT 2014: INCT for Climate Change |
| Grantee: | Jose Antonio Marengo Orsini |
| Support Opportunities: | Research Program on Global Climate Change - Thematic Grants |