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Utilizing Crowdsourced Data for Studies of Cycling and Air Pollution Exposure: A Case Study Using Strava Data

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  • Yeran Sun

    (Urban Big Data Centre, School of Social and Political Sciences, University of Glasgow, Glasgow G12 8RZ, UK)

  • Amin Mobasheri

    (GIScience Research Group, Institute of Geography, Heidelberg University, D-69120 Heidelberg, Germany)

Abstract

With the development of information and communications technology, user-generated content and crowdsourced data are playing a large role in studies of transport and public health. Recently, Strava, a popular website and mobile app dedicated to tracking athletic activity (cycling and running), began offering a data service called Strava Metro, designed to help transportation researchers and urban planners to improve infrastructure for cyclists and pedestrians. Strava Metro data has the potential to promote studies of cycling and health by indicating where commuting and non-commuting cycling activities are at a large spatial scale (street level and intersection level). The assessment of spatially varying effects of air pollution during active travel (cycling or walking) might benefit from Strava Metro data, as a variation in air pollution levels within a city would be expected. In this paper, to explore the potential of Strava Metro data in research of active travel and health, we investigate spatial patterns of non-commuting cycling activities and associations between cycling purpose (commuting and non-commuting) and air pollution exposure at a large scale. Additionally, we attempt to estimate the number of non-commuting cycling trips according to environmental characteristics that may help identify cycling behavior. Researchers who are undertaking studies relating to cycling purpose could benefit from this approach in their use of cycling trip data sets that lack trip purpose. We use the Strava Metro Nodes data from Glasgow, United Kingdom in an empirical study. Empirical results reveal some findings that (1) when compared with commuting cycling activities, non-commuting cycling activities are more likely to be located in outskirts of the city; (2) spatially speaking, cyclists riding for recreation and other purposes are more likely to be exposed to relatively low levels of air pollution than cyclists riding for commuting; and (3) the method for estimating of the number of non-commuting cycling activities works well in this study. The results highlight: (1) a need for policymakers to consider how to improve cycling infrastructure and road safety in outskirts of cities; and (2) a possible way of estimating the number of non-commuting cycling activities when the trip purpose of cycling data is unknown.

Suggested Citation

  • Yeran Sun & Amin Mobasheri, 2017. "Utilizing Crowdsourced Data for Studies of Cycling and Air Pollution Exposure: A Case Study Using Strava Data," IJERPH, MDPI, vol. 14(3), pages 1-19, March.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:3:p:274-:d:92482
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    References listed on IDEAS

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    1. Griffin, Greg Phillip & Jiao, Junfeng, 2015. "Where does bicycling for health happen? Analysing volunteered geographic information through place and plexus," SocArXiv 5gy3u, Center for Open Science.
    2. J. Hunt & J. Abraham, 2007. "Influences on bicycle use," Transportation, Springer, vol. 34(4), pages 453-470, July.
    3. Broach, Joseph & Dill, Jennifer & Gliebe, John, 2012. "Where do cyclists ride? A route choice model developed with revealed preference GPS data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1730-1740.
    4. Cristina Taddei & Roberto Gnesotto & Silvia Forni & Guglielmo Bonaccorsi & Andrea Vannucci & Giorgio Garofalo, 2015. "Cycling Promotion and Non-Communicable Disease Prevention: Health Impact Assessment and Economic Evaluation of Cycling to Work or School in Florence," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-22, April.
    5. N. Künzli & R. Kaiser & S. Medina & M. Studnicka & O. Chanel & P. Filliger & M. Herry & F. Horak & V. Puybonnieux-Texier & Philippe Quénel & Jodi Schneider & R. Seethaler & Jean-Christophe Vergnaud & , 2000. "Public health Impact of Outdoor and Traffic related Air Pollution," Post-Print halshs-00150955, HAL.
    6. Pucher, J. & Buehler, R. & Bassett, D.R. & Dannenberg, A.L., 2010. "Walking and cycling to health: A comparative analysis of city, state, and international data," American Journal of Public Health, American Public Health Association, vol. 100(10), pages 1986-1992.
    7. Ipek Sener & Naveen Eluru & Chandra Bhat, 2009. "An analysis of bicycle route choice preferences in Texas, US," Transportation, Springer, vol. 36(5), pages 511-539, September.
    8. Ronan Doorley & Vikram Pakrashi & Bidisha Ghosh, 2015. "Quantifying the Health Impacts of Active Travel: Assessment of Methodologies," Transport Reviews, Taylor & Francis Journals, vol. 35(5), pages 559-582, September.
    9. Juan Duque & Jared Aldstadt & Ermilson Velasquez & Jose Franco & Alejandro Betancourt, 2011. "A computationally efficient method for delineating irregularly shaped spatial clusters," Journal of Geographical Systems, Springer, vol. 13(4), pages 355-372, December.
    10. P. Filliger & M. Herry & F. Horak & V. Puybonnieux-Texier & P. Quenel & J. Schneider & R.K. Seethaler & J.C. Vernaud & H. Sommer & N. Künzli & R. Kaiser & S. Medina & M. Studnicka & Olivier Chanel, 2000. "Public-health impact of outdoor and traffic-related air pollution: a European assessment," Post-Print hal-01462907, HAL.
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    Cited by:

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    4. Kyuhyun Lee & Ipek N. Sener, 2019. "Understanding Potential Exposure of Bicyclists on Roadways to Traffic-Related Air Pollution: Findings from El Paso, Texas, Using Strava Metro Data," IJERPH, MDPI, vol. 16(3), pages 1-20, January.
    5. Desmond Lartey & Meredith A. Glaser, 2024. "Towards a Sustainable Transport System: Exploring Capacity Building for Active Travel in Africa," Sustainability, MDPI, vol. 16(3), pages 1-20, February.
    6. Ali Al-Ramini & Mohammad A Takallou & Daniel P Piatkowski & Fadi Alsaleem, 2022. "Quantifying changes in bicycle volumes using crowdsourced data," Environment and Planning B, , vol. 49(6), pages 1612-1630, July.

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