Estimating the effect of urban road congestion on air quality in Latin America
Road congestion and air pollution are key challenges for quality of life in urban settings. This research leverages highly disaggregated crowdsourced data from Latin America to study the effect of road congestion on levels of carbon monoxide, nitrogen dioxide, and particulate matter in four of the most congested cities in developing countries: Bogota, Buenos Aires, Mexico City, and Santiago. Based on a panel data econometric approach with over 4.4 billion records from Waze and hourly data from 54 air monitoring stations for 2019, our two-stage least square model shows a cumulative increase of 0.6% in response to a 1% of road congestion on the three air pollutants. Moreover, we find a nonlinear relationship between road congestion and air quality and estimate the threshold above which the effect decays. This study provides evidence that supports public policies designed to make urban mobility more sustainable by implementing measures to reduce road congestion in developing contexts.
| Main Author: | |
|---|---|
| Other Authors: | |
| Language: | English |
| Published: |
Inter-American Development Bank
|
| Subjects: | Air Quality, Traffic Management, Urban Transport, Social Welfare, Fuel Consumption, Emerging Market, Big Data, Urbanization, R41 - Transportation: Demand Supply and Congestion • Travel Time • Safety and Accidents • Transportation Noise, O18 - Urban Rural Regional and Transportation Analysis • Housing • Infrastructure, L91 - Transportation: General, Q01 - Sustainable Development, Congestion;Air quality;Latin America;Pollution, |
| Online Access: | http://dx.doi.org/10.18235/0004512 https://publications.iadb.org/en/estimating-effect-urban-road-congestion-air-quality-latin-america |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Road congestion and air pollution are key challenges for quality of life in urban settings. This research leverages highly disaggregated crowdsourced data from Latin America to study the effect of road congestion on levels of carbon monoxide, nitrogen dioxide, and particulate matter in four of the most congested cities in developing countries: Bogota, Buenos Aires, Mexico City, and Santiago. Based on a panel data econometric approach with over 4.4 billion records from Waze and hourly data from 54 air monitoring stations for 2019, our two-stage least square model shows a cumulative increase of 0.6% in response to a 1% of road congestion on the three air pollutants. Moreover, we find a nonlinear relationship between road congestion and air quality and estimate the threshold above which the effect decays. This study provides evidence that supports public policies designed to make urban mobility more sustainable by implementing measures to reduce road congestion in developing contexts. |
|---|