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

Sun, Y. , Moshfeghi, Y. and Liu, Z. (2017) Exploiting crowdsourced geographic information and GIS for assessment of air pollution exposure during active travel. Journal of Transport and Health, 6, pp. 93-104. (doi: 10.1016/j.jth.2017.06.004)

142546.pdf - Published Version
Available under License Creative Commons Attribution.



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.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Sun, Mr Yeran and Moshfeghi, Dr Yashar
Authors: Sun, Y., Moshfeghi, Y., and Liu, Z.
College/School:College of Science and Engineering > School of Computing Science
College of Social Sciences > School of Social and Political Sciences > Urban Studies
Journal Name:Journal of Transport and Health
ISSN (Online):2214-1413
Published Online:16 June 2017
Copyright Holders:Copyright © 2017 The Authors
First Published:First published in Journal of Transport and Health 6: 93-104
Publisher Policy:Reproduced under a Creative Commons License

University Staff: Request a correction | Enlighten Editors: Update this record

Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
651921Urban Big Data Research CentrePiyushimita ThakuriahEconomic and Social Research Council (ESRC)ES/L011921/1SPS - URBAN STUDIES