IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i21p14328-d960961.html
   My bibliography  Save this article

Neighborhood Characteristics Associated with Running in Metro Vancouver: A Preliminary Analysis

Author

Listed:
  • Stella R. Harden

    (Faculty of Environment, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada)

  • Nadine Schuurman

    (Faculty of Environment, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada)

  • Peter Keller

    (Faculty of Environment, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada)

  • Scott A. Lear

    (Faculty of Health Sciences, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada)

Abstract

Running can improve physical health and psychological wellbeing. However, the characteristics of conducive running environments are relatively unknown. This study determines neighborhood factors that attract running and explores how age and gender mediate built environment preferences. Spatial patterns of runners in Metro Vancouver were identified using crowdsourced fitness data from Strava, a popular application for tracking physical activities. The influence of socio-economic status (SES), green and/or blue space, and urbanicity on route popularity was assessed using a Generalized Linear Model (GLM). The influence of these neighborhood variables was also calculated for runners by age and gender. The results show high neighborhood SES, the presence of green and/or blue space, and high population density are associated with increased running activities in all age and gender groups. This study contributes a novel approach to understanding conducive running environments by demonstrating the utility of crowdsourced data in combination with data about urban environments. The patterns of this large group of runners can be used to inform planning for cities that promote running, as well as seek to encourage equal participation among different ages and genders.

Suggested Citation

  • Stella R. Harden & Nadine Schuurman & Peter Keller & Scott A. Lear, 2022. "Neighborhood Characteristics Associated with Running in Metro Vancouver: A Preliminary Analysis," IJERPH, MDPI, vol. 19(21), pages 1-13, November.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:21:p:14328-:d:960961
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/21/14328/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/21/14328/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Maria E Hermosillo-Gallardo & Russell Jago & Simon J Sebire, 2018. "Association between urbanicity and physical activity in Mexican adolescents: The use of a composite urbanicity measure," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-16, September.
    2. 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.
    3. Simon Cook & Jon Shaw & Paul Simpson, 2016. "Jography: Exploring Meanings, Experiences and Spatialities of Recreational Road-running," Mobilities, Taylor & Francis Journals, vol. 11(5), pages 744-769, October.
    4. Kistemann, Thomas, 2018. "Gesundheitliche Bedeutung blauer Stadtstrukturen," Forschungsberichte der ARL: Aufsätze, in: Baumgart, Sabine & Köckler, Heike & Ritzinger, Anne & Rüdiger, Andrea (ed.), Planung für gesundheitsfördernde Städte, volume 8, pages 317-331, ARL – Akademie für Raumentwicklung in der Leibniz-Gemeinschaft.
    5. Aateka Shashank & Nadine Schuurman & Russell Copley & Scott Lear, 2022. "Creation of a rough runnability index using an affordance-based framework," Environment and Planning B, , vol. 49(1), pages 321-334, January.
    6. Bell, Sarah L. & Phoenix, Cassandra & Lovell, Rebecca & Wheeler, Benedict W., 2015. "Seeking everyday wellbeing: The coast as a therapeutic landscape," Social Science & Medicine, Elsevier, vol. 142(C), pages 56-67.
    7. Nadine Schuurman & Leah Rosenkrantz & Scott A. Lear, 2021. "Environmental Preferences and Concerns of Recreational Road Runners," IJERPH, MDPI, vol. 18(12), pages 1-19, June.
    8. Thomas Astell-Burt & Xiaoqi Feng, 2021. "Time for ‘Green’ during COVID-19? Inequities in Green and Blue Space Access, Visitation and Felt Benefits," IJERPH, MDPI, vol. 18(5), pages 1-21, March.
    9. Jestico, Ben & Nelson, Trisalyn & Winters, Meghan, 2016. "Mapping ridership using crowdsourced cycling data," Journal of Transport Geography, Elsevier, vol. 52(C), pages 90-97.
    10. Matthew Browning & Kangjae Lee, 2017. "Within What Distance Does “Greenness” Best Predict Physical Health? A Systematic Review of Articles with GIS Buffer Analyses across the Lifespan," IJERPH, MDPI, vol. 14(7), pages 1-21, June.
    11. Hochmair, Hartwig H. & Bardin, Eric & Ahmouda, Ahmed, 2019. "Estimating bicycle trip volume for Miami-Dade county from Strava tracking data," Journal of Transport Geography, Elsevier, vol. 75(C), pages 58-69.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Munira, Sirajum & Sener, Ipek N., 2020. "A geographically weighted regression model to examine the spatial variation of the socioeconomic and land-use factors associated with Strava bike activity in Austin, Texas," Journal of Transport Geography, Elsevier, vol. 88(C).
    2. Raturi, Varun & Hong, Jinhyun & McArthur, David Philip & Livingston, Mark, 2021. "The impact of privacy protection measures on the utility of crowdsourced cycling data," Journal of Transport Geography, Elsevier, vol. 92(C).
    3. Md Mintu Miah & Kate Kyung Hyun & Stephen P. Mattingly & Hannan Khan, 2023. "Estimation of daily bicycle traffic using machine and deep learning techniques," Transportation, Springer, vol. 50(5), pages 1631-1684, October.
    4. Alattar, Mohammad Anwar & Cottrill, Caitlin & Beecroft, Mark, 2021. "Public participation geographic information system (PPGIS) as a method for active travel data acquisition," Journal of Transport Geography, Elsevier, vol. 96(C).
    5. Mário Meireles & Paulo J. G. Ribeiro, 2020. "Digital Platform/Mobile App to Boost Cycling for the Promotion of Sustainable Mobility in Mid-Sized Starter Cycling Cities," Sustainability, MDPI, vol. 12(5), pages 1-27, March.
    6. Hong, Jinhyun & Philip McArthur, David & Stewart, Joanna L., 2020. "Can providing safe cycling infrastructure encourage people to cycle more when it rains? The use of crowdsourced cycling data (Strava)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 109-121.
    7. 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.
    8. McArthur, David Philip & Hong, Jinhyun, 2019. "Visualising where commuting cyclists travel using crowdsourced data," Journal of Transport Geography, Elsevier, vol. 74(C), pages 233-241.
    9. Nina Cesare & Pallavi Dwivedi & Quynh C. Nguyen & Elaine O. Nsoesie, 2019. "Use of social media, search queries, and demographic data to assess obesity prevalence in the United States," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-9, December.
    10. Hochmair, Hartwig H. & Bardin, Eric & Ahmouda, Ahmed, 2019. "Estimating bicycle trip volume for Miami-Dade county from Strava tracking data," Journal of Transport Geography, Elsevier, vol. 75(C), pages 58-69.
    11. Tineke de Jong & Lars Böcker & Christian Weber, 2023. "Road infrastructures, spatial surroundings, and the demand and route choices for cycling: Evidence from a GPS-based mode detection study from Oslo, Norway," Environment and Planning B, , vol. 50(8), pages 2133-2150, October.
    12. Leah Rosenkrantz & Nadine Schuurman & Scott A. Lear, 2024. "Environmental Preferences and Concerns of Recreational Trail Runners," IJERPH, MDPI, vol. 21(1), pages 1-14, January.
    13. 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.
    14. Cook, Simon, 2021. "Geographies of run-commuting in the UK," Journal of Transport Geography, Elsevier, vol. 92(C).
    15. Jill Walker Rettberg, 2020. "Situated data analysis: a new method for analysing encoded power relationships in social media platforms and apps," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-13, December.
    16. Angeliki T. Paraskevopoulou & Marina Chletsou & Chrysovalantis Malesios, 2022. "Runners Experience Lower Heart Rate, Increased Speed, and Joy/Calm on Routes with Trees, by the Sea and through Parks: Implications for Climate Change Design," Sustainability, MDPI, vol. 14(23), pages 1-27, December.
    17. Mark Livingston & David McArthur & Jinhyun Hong & Kirstie English, 2021. "Predicting cycling volumes using crowdsourced activity data," Environment and Planning B, , vol. 48(5), pages 1228-1244, June.
    18. Nabetse Baruc Blas-Miranda & Ana Lilia Lozada-Tequeanes & Juan Antonio Miranda-Zuñiga & Marcia P. Jimenez, 2022. "Green Space Exposure and Obesity in the Mexican Adult Population," IJERPH, MDPI, vol. 19(22), pages 1-13, November.
    19. Ireland, Aileen V. & Finnegan-John, Jennifer & Hubbard, Gill & Scanlon, Karen & Kyle, Richard G., 2019. "Walking groups for women with breast cancer: Mobilising therapeutic assemblages of walk, talk and place," Social Science & Medicine, Elsevier, vol. 231(C), pages 38-46.
    20. Hao-Ting Chang & Chih-Da Wu & Wen-Chi Pan & Shih-Chun Candice Lung & Huey-Jen Su, 2019. "Association Between Surrounding Greenness and Schizophrenia: A Taiwanese Cohort Study," IJERPH, MDPI, vol. 16(8), pages 1-16, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:21:p:14328-:d:960961. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.