Data and Code for: Mobility and congestion in urban India
Principal Investigator(s): View help for Principal Investigator(s) Prottoy Akbar, Aalto University; Victor Couture, University of British Columbia; Gilles Duranton, University of Pennsylvania; Adam Storeygard, Tufts University
Version: View help for Version V1
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Project Description
Summary:
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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.
Scope of Project
Subject Terms:
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urban transportation;
roads;
traffic congestion;
travel speed determinants;
cities
JEL Classification:
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O18 Economic Development: Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
R41 Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
O18 Economic Development: Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
R41 Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
Geographic Coverage:
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India,
United States
Data Type(s):
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program source code
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