Kanishka Kacker (), Ridhima Gupta () and Saif Ali ()
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Kanishka Kacker: Indian Statistical Institute
Ridhima Gupta: South Asian University
Saif Ali: Indraprastha Institute of Information Technology
Abstract: Will reducing traffic congestion bring health benefits? We use high frequency data from Uber for Delhi – a city that experiences high levels of air pollution and traffic congestion - to answer this question. Exploiting information by time of day for every day of 2018 at the neighborhood level that covers over 16000 possible trips during each of these time periods, we employ an econometric framework that models wind direction together with day, month, time-of-day and trip fixed effects to remove important sources of unobserved heterogeneity. Congestion has a non-linear, dynamic impact on pollution raising it sharply by over a standard deviation. The pattern of response shown by the results is consistent with known information regarding vehicular emissions and ambient air pollution, suggesting bias in the estimates to be low. Simulations using parameters from epidemiological studies suggest congestion may be responsible for up to 40% of all premature deaths from pulmonary and heart disease in Delhi.
Keywords: air pollution; traffic congestion; vehicular regulation
Language: English
39 pages, July 3, 2023
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EfD_DP-23-10.pdf Full text
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