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 São 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.

中文翻译：

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基于Uber Movement数据的加权旅行时间指数

在本文中，我们结合了来自Uber Movement和一项有代表性的家庭旅行调查的数据，以构建圣保罗大都会地区的加权旅行时间指数。该指数是根据2016年1月1日至2018年12月31日之间每对交通区域之间以及每个小时内Uber出行的平均旅行时间计算得出的。该指数是根据家庭旅行调查中报告的出行次数加权的。旨在统计地代表一个典型工作日在城市中进行的所有出行。我们表明，该指数与传统的交通拥堵度量有很强的相关性，但是道路网络的覆盖面更广。最后，我们使用该指数进行多元事后分析，以估算不同事件对城市交通拥堵（包括节假日）的影响，