Data and Code for: Mobility and congestion in urban India

Data and Code for: Mobility and congestion in urban India

Description

Replicates empirical results from "Mobility and Congestion in Urban India". Article abstract: We develop a methodology to estimate robust city-level vehicular speed indices, exactly decomposable into uncongested speed and congestion. We apply it to 180 Indian cities using 57 million simulated trips measured by a web mapping service. We verify the reliability of our simulated trips using a number of alternative data sources, including data on actual trips. We find wide variation in speed across cities that is driven more by differences in uncongested speed than congestion. Denser and more populated cities are slower, only in part because of congestion. Urban economic development is correlated with faster speed despite worse congestion.
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Year of publication

2023

Authors

Department of Economics

Adam Storeygard - Creator

Gilles Duranton - Creator

Prottoy Akbar Orcid -palvelun logo - Creator

Victor Couture - Creator

Indiana University of Pennsylvania - Contributor

Interuniversity Consortium for Political and Social Research (ICPSR) - Publisher

Tufts University - Contributor

University of British Columbia - Contributor

Other information

Fields of science

Economics

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)