IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v161y2016icp134-142.html
   My bibliography  Save this article

Using global positioning systems to study health-related mobility and participation

Author

Listed:
  • Brusilovskiy, Eugene
  • Klein, Louis A.
  • Salzer, Mark S.

Abstract

Community participation, as indicated by mobility and engagement in socially meaningful activities, is a central component of health based on the International Classification of Health, Functioning, and Disease (WHO, 2001). Global positioning systems (GPS) technology is emerging as a tool for tracking mobility and participation in health and disability-related research. This paper fills a gap in the literature and provides a thorough description of a method that can be used to generate a number of different variables related to the constructs of mobility and participation from GPS data. Here, these variables are generated with the help of ST-DBSCAN, a spatiotemporal data mining algorithm. The variables include the number of unique destinations, activity space area, distance traveled, time in transit, and time at destinations. Data obtained from five individuals with psychiatric disabilities who carried GPS-enabled cell phones for two weeks are presented. Within- and across- individual variability on these constructs was observed. Given the feasibility of gathering data with GPS, larger scale studies of mobility and participation employing this method are warranted.

Suggested Citation

  • Brusilovskiy, Eugene & Klein, Louis A. & Salzer, Mark S., 2016. "Using global positioning systems to study health-related mobility and participation," Social Science & Medicine, Elsevier, vol. 161(C), pages 134-142.
    • Handle: RePEc:eee:socmed:v:161:y:2016:i:c:p:134-142
    DOI: 10.1016/j.socscimed.2016.06.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953616302829
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.socscimed.2016.06.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Rogalsky, Jennifer, 2010. "The working poor and what GIS reveals about the possibilities of public transit," Journal of Transport Geography, Elsevier, vol. 18(2), pages 226-237.
    2. Ron N. Buliung & Pavlos S. Kanaroglou, 2006. "Urban Form and Household Activity‐Travel Behavior," Growth and Change, Wiley Blackwell, vol. 37(2), pages 172-199, June.
    3. Li Yin & Samina Raja & Xiao Li & Yuan Lai & Leonard Epstein & James Roemmich, 2013. "Neighbourhood for Playing: Using GPS, GIS and Accelerometry to Delineate Areas within which Youth are Physically Active," Urban Studies, Urban Studies Journal Limited, vol. 50(14), pages 2922-2939, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jason Y. Scully & Anne Vernez Moudon & Philip M. Hurvitz & Anju Aggarwal & Adam Drewnowski, 2019. "A Time-Based Objective Measure of Exposure to the Food Environment," IJERPH, MDPI, vol. 16(7), pages 1-14, April.
    2. Brusilovskiy, Eugene & Klein, Louis A. & Townley, Greg & Snethen, Gretchen & McCormick, Bryan & Hiremath, Shivayogi V. & Salzer, Mark S., 2020. "Examining the relationship between community mobility and participation using GPS and self-report data," Social Science & Medicine, Elsevier, vol. 265(C).
    3. Fillekes, Michelle Pasquale & Röcke, Christina & Katana, Marko & Weibel, Robert, 2019. "Self-reported versus GPS-derived indicators of daily mobility in a sample of healthy older adults," Social Science & Medicine, Elsevier, vol. 220(C), pages 193-202.
    4. Chambers, T. & Pearson, A.L. & Kawachi, I. & Rzotkiewicz, Z. & Stanley, J. & Smith, M. & barr, M. & Ni Mhurchu, C. & Signal, L., 2017. "Kids in space: Measuring children's residential neighborhoods and other destinations using activity space GPS and wearable camera data," Social Science & Medicine, Elsevier, vol. 193(C), pages 41-50.

    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. Kamruzzaman, Md. & Hine, Julian, 2011. "Participation index: a measure to identify rural transport disadvantage?," Journal of Transport Geography, Elsevier, vol. 19(4), pages 882-899.
    2. Haseeb, Attiya & Mitra, Raktim, 2023. "Do environmentally sustainable travel behaviours contribute to transportation-related social exclusion?," Journal of Transport Geography, Elsevier, vol. 113(C).
    3. Md. Kamruzzaman & Tan Yigitcanlar & Jay Yang & Mohd Afzan Mohamed, 2016. "Measures of Transport-Related Social Exclusion: A Critical Review of the Literature," Sustainability, MDPI, vol. 8(7), pages 1-30, July.
    4. Dian Nostikasari & Nicole Foster & Lauren Krake, 2024. "Inhabiting digital spaces: An informational right to the city for mobility justice," Urban Studies, Urban Studies Journal Limited, vol. 61(13), pages 2585-2602, October.
    5. Lo, A. W.-T. & Houston, D., 2018. "How do compact, accessible, and walkable communities promote gender equality in spatial behavior?," Journal of Transport Geography, Elsevier, vol. 68(C), pages 42-54.
    6. Ding, Chuan & Cao, Xinyu (Jason) & Næss, Petter, 2018. "Applying gradient boosting decision trees to examine non-linear effects of the built environment on driving distance in Oslo," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 107-117.
    7. Ffion Carney, 2021. "Linking Loyalty Card Data to Public Transport Data to Explore Mobility and Social Exclusion in the Older Population," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
    8. Chandra, Shailesh & Naik, R. Thirumaleswara & Venkatesh, Manoj & Mudgal, Abhisek, 2021. "Accessibility evaluations of the proposed road user charge (RUC) program in California," Transport Policy, Elsevier, vol. 113(C), pages 12-26.
    9. Shao, Qifan & Zhang, Wenjia & Cao, Xinyu (Jason) & Yang, Jiawen, 2023. "Built environment interventions for emission mitigation: A machine learning analysis of travel-related CO2 in a developing city," Journal of Transport Geography, Elsevier, vol. 110(C).
    10. Perchoux, Camille & Kestens, Yan & Thomas, Frédérique & Hulst, Andraea Van & Thierry, Benoit & Chaix, Basile, 2014. "Assessing patterns of spatial behavior in health studies: Their socio-demographic determinants and associations with transportation modes (the RECORD Cohort Study)," Social Science & Medicine, Elsevier, vol. 119(C), pages 64-73.
    11. Delbosc, Alexa & Currie, Graham, 2011. "Exploring the relative influences of transport disadvantage and social exclusion on well-being," Transport Policy, Elsevier, vol. 18(4), pages 555-562, August.
    12. Kamyar Hasanzadeh & Tiina Laatikainen & Marketta Kyttä, 2018. "A place-based model of local activity spaces: individual place exposure and characteristics," Journal of Geographical Systems, Springer, vol. 20(3), pages 227-252, July.
    13. Pan, Yu & He, Sylvia Y., 2022. "Analyzing COVID-19’s impact on the travel mobility of various social groups in China’s Greater Bay Area via mobile phone big data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 263-281.
    14. Liu, Chengliang & Duan, Dezhong, 2020. "Spatial inequality of bus transit dependence on urban streets and its relationships with socioeconomic intensities: A tale of two megacities in China," Journal of Transport Geography, Elsevier, vol. 86(C).
    15. Yena Song & John M Preston & Christian Brand, 2013. "What Explains Active Travel Behaviour? Evidence from Case Studies in the UK," Environment and Planning A, , vol. 45(12), pages 2980-2998, December.
    16. Mitra, Raktim & Buliung, Ron N., 2012. "Built environment correlates of active school transportation: neighborhood and the modifiable areal unit problem," Journal of Transport Geography, Elsevier, vol. 20(1), pages 51-61.
    17. Manaugh, Kevin & El-Geneidy, Ahmed, 2012. "What makes travel 'local': Defining and understanding local travel behaviour," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 5(3), pages 15-27.
    18. Zhu, Pengyu & Tan, Xinying & Zhao, Songnian & Shi, Shuai & Wang, Mingshu, 2022. "Land use regulations, transit investment, and commuting preferences," Land Use Policy, Elsevier, vol. 122(C).
    19. Cao, Xinyu (Jason) & Xu, Zhiyi & Fan, Yingling, 2010. "Exploring the connections among residential location, self-selection, and driving: Propensity score matching with multiple treatments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 797-805, December.
    20. Li, Ran & Tong, Daoqin, 2016. "Constructing human activity spaces: A new approach incorporating complex urban activity-travel," Journal of Transport Geography, Elsevier, vol. 56(C), pages 23-35.

    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:eee:socmed:v:161:y:2016:i:c:p:134-142. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.