Exploiting crowdsourced geographic information and GIS for assessment of air pollution exposure during active travel

Sun, Yeran and Moshfeghi, Yashar and Liu, Zhang (2017) Exploiting crowdsourced geographic information and GIS for assessment of air pollution exposure during active travel. Journal of Transport & Health, 6. pp. 93-104. ISSN 2214-1405

[img]
Preview
Text (Sun-etal-JTH-2017-Exploiting-crowdsourced-geographic-information)
Sun_etal_JTH_2017_Exploiting_crowdsourced_geographic_information.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo

Download (1MB)| Preview

    Abstract

    Improvement on assessment of air pollution exposure will enhance assessment of health risk-benefit when active travel (cycling and walking). Earlier studies assessed air pollution exposure according to travel time and city-level air pollution. The lack of spatially fine-grained travel data is a barrier to an accurate assessment of air pollution exposure. Due to a high-level spatial granularity, Strava Metro provides an opportunity to assessing air pollution exposure in combination with spatially varying air pollution concentrations. Strava Metro anonymized and aggregated a large volume of users’ traces to streets for each city. In this study, to explore the potential of crowdsourced geographic information in research of active travel and health, we used Strava Metro data and GIS technologies to assess air pollution exposure in Glasgow, UK. Particularly, we incorporated time of the trip to assess average inhaled dose of pollutant during a single cycling or pedestrian trip. Empirical results demonstrate that Strava Metro data provides an opportunity to an assessment of average air pollution exposure during active travel. Additionally, to demonstrate the potential of Strava Metro data in policy-making, we explored the spatial association of air pollution concentration and active travel. As a result, we identified areas that require investment priority, and finally offered implications for policies.