IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v119y2014icp64-73.html
   My bibliography  Save this article

Assessing patterns of spatial behavior in health studies: Their socio-demographic determinants and associations with transportation modes (the RECORD Cohort Study)

Author

Listed:
  • Perchoux, Camille
  • Kestens, Yan
  • Thomas, Frédérique
  • Hulst, Andraea Van
  • Thierry, Benoit
  • Chaix, Basile

Abstract

Prior epidemiological studies have mainly focused on local residential neighborhoods to assess environmental exposures. However, individual spatial behavior may modify residential neighborhood influences, with weaker health effects expected for mobile populations. By examining individual patterns of daily mobility and associated socio-demographic profiles and transportation modes, this article seeks to develop innovative methods to account for daily mobility in health studies. We used data from the RECORD Cohort Study collected in 2011–2012 in the Paris metropolitan area, France. A sample of 2062 individuals was investigated. Participants' perceived residential neighborhood boundaries and regular activity locations were geocoded using the VERITAS application. Twenty-four indicators were created to qualify individual space-time patterns, using spatial analysis methods and a geographic information system. Three domains of indicators were considered: lifestyle indicators, indicators related to the geometry of the activity space, and indicators related to the importance of the residential neighborhood in the overall activity space. Principal component analysis was used to identify main dimensions of spatial behavior. Multilevel linear regression was used to determine which individual characteristics were associated with each spatial behavior dimension. The factor analysis generated five dimensions of spatial behavior: importance of the residential neighborhood in the activity space, volume of activities, and size, eccentricity, and specialization of the activity space. Age, socioeconomic status, and location of the household in the region were the main predictors of daily mobility patterns. Activity spaces of small sizes centered on the residential neighborhood and implying a large volume of activities were associated with walking and/or biking as a transportation mode. Examination of patterns of spatial behavior by individual socio-demographic characteristics and in relation to transportation modes is useful to identify populations with specific mobility/accessibility needs and has implications for investigating transportation-related physical activity and assessing environmental exposures and their effects on health.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:socmed:v:119:y:2014:i:c:p:64-73
    DOI: 10.1016/j.socscimed.2014.07.026
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953614004559
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.socscimed.2014.07.026?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. Schönfelder, Stefan & Axhausen, Kay W., 2003. "Activity spaces: measures of social exclusion?," Transport Policy, Elsevier, vol. 10(4), pages 273-286, October.
    2. Berke, E.M. & Koepsell, T.D. & Moudon, A.V. & Hoskins, R.E. & Larson, E.B., 2007. "Association of the built environment with physical activity and obesity in older persons," American Journal of Public Health, American Public Health Association, vol. 97(3), pages 486-492.
    3. Geoffrey C. Smith & Gina M. Sylvestre, 2001. "Determinants of the Travel Behavior of the Suburban Elderly," Growth and Change, Wiley Blackwell, vol. 32(3), pages 395-412.
    4. Robert Schlich & Kay Axhausen, 2003. "Habitual travel behaviour: Evidence from a six-week travel diary," Transportation, Springer, vol. 30(1), pages 13-36, February.
    5. Sallis, James F. & Frank, Lawrence D. & Saelens, Brian E. & Kraft, M. Katherine, 2004. "Active transportation and physical activity: opportunities for collaboration on transportation and public health research," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(4), pages 249-268, May.
    6. Ron Buliung & Matthew Roorda & Tarmo Remmel, 2008. "Exploring spatial variety in patterns of activity-travel behaviour: initial results from the Toronto Travel-Activity Panel Survey (TTAPS)," Transportation, Springer, vol. 35(6), pages 697-722, November.
    7. Chaix, Basile & Merlo, Juan & Evans, David & Leal, Cinira & Havard, Sabrina, 2009. "Neighbourhoods in eco-epidemiologic research: Delimiting personal exposure areas. A response to Riva, Gauvin, Apparicio and Brodeur," Social Science & Medicine, Elsevier, vol. 69(9), pages 1306-1310, November.
    8. 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.
    9. Inagami, Sanae & Cohen, Deborah A. & Finch, Brian K., 2007. "Non-residential neighborhood exposures suppress neighborhood effects on self-rated health," Social Science & Medicine, Elsevier, vol. 65(8), pages 1779-1791, October.
    10. Vallée, Julie & Cadot, Emmanuelle & Roustit, Christelle & Parizot, Isabelle & Chauvin, Pierre, 2011. "The role of daily mobility in mental health inequalities: The interactive influence of activity space and neighbourhood of residence on depression," Social Science & Medicine, Elsevier, vol. 73(8), pages 1133-1144.
    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. Pan, Yu & He, Sylvia Y., 2023. "An investigation into the impact of the built environment on the travel mobility gap using mobile phone data," Journal of Transport Geography, Elsevier, vol. 108(C).
    2. Cindy M. Padilla & Maxime Raffray & Adélaïde Pladys & Cécile Vigneau & Sahar Bayat, 2018. "Geographic Variations in the Risk of Emergency First Dialysis for Patients with End Stage Renal Disease in the Bretagne Region, France," IJERPH, MDPI, vol. 16(1), pages 1-16, December.
    3. Jed A. Long & Jinhyung Lee & Darja Reuschke, 2023. "Activity graphs: Spatial graphs as a framework for quantifying individual mobility," Journal of Geographical Systems, Springer, vol. 25(3), pages 377-402, July.
    4. Samira Ramezani & Tiina Laatikainen & Kamyar Hasanzadeh & Marketta Kyttä, 2021. "Shopping trip mode choice of older adults: an application of activity space and hybrid choice models in understanding the effects of built environment and personal goals," Transportation, Springer, vol. 48(2), pages 505-536, April.
    5. O'Connell, Heather A., 2015. "Where there's smoke: Cigarette use, social acceptability, and spatial approaches to multilevel modeling," Social Science & Medicine, Elsevier, vol. 140(C), pages 18-26.
    6. François Sprumont & Ali Shateri Benam & Francesco Viti, 2020. "Short- and Long-Term Impacts of Workplace Relocation: A Survey and Experience from the University of Luxembourg Relocation," Sustainability, MDPI, vol. 12(18), pages 1-22, September.
    7. Dharmowijoyo, Dimas B.E. & Susilo, Yusak O. & Karlström, Anders & Adiredja, Lili Somantri, 2015. "Collecting a multi-dimensional three-weeks household time-use and activity diary in the Bandung Metropolitan Area, Indonesia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 231-246.
    8. Timothée Cuignet & Camille Perchoux & Geoffrey Caruso & Olivier Klein & Sylvain Klein & Basile Chaix & Yan Kestens & Philippe Gerber, 2020. "Mobility among older adults: Deconstructing the effects of motility and movement on wellbeing," Urban Studies, Urban Studies Journal Limited, vol. 57(2), pages 383-401, February.
    9. 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.
    10. Feuillet, Thierry & Bulteau, Julie & Dantan, Sophie, 2021. "Modelling context-specific relationships between neighbourhood socioeconomic disadvantage and private car use," Journal of Transport Geography, Elsevier, vol. 93(C).
    11. Margaux Sanchez & Albert Ambros & Maëlle Salmon & Santhi Bhogadi & Robin T. Wilson & Sanjay Kinra & Julian D. Marshall & Cathryn Tonne, 2017. "Predictors of Daily Mobility of Adults in Peri-Urban South India," IJERPH, MDPI, vol. 14(7), pages 1-16, July.
    12. Ivory, Vivienne C. & Blakely, Tony & Pearce, Jamie & Witten, Karen & Bagheri, Nasser & Badland, Hannah & Schofield, Grant, 2015. "Could strength of exposure to the residential neighbourhood modify associations between walkability and physical activity?," Social Science & Medicine, Elsevier, vol. 147(C), pages 232-241.
    13. Roberts, Hannah & van Lissa, Caspar & Helbich, Marco, 2021. "Perceived neighbourhood characteristics and depressive symptoms: Potential mediators and the moderating role of employment status," Social Science & Medicine, Elsevier, vol. 268(C).
    14. 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.
    15. 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.
    16. Czepkiewicz Michał & Jankowski Piotr & Zwoliński Zbigniew, 2018. "Geo-Questionnaire: A Spatially Explicit Method for Eliciting Public Preferences, Behavioural Patterns, and Local Knowledge – An Overview," Quaestiones Geographicae, Sciendo, vol. 37(3), pages 177-190, September.
    17. Yan Kestens & Basile Chaix & Martine Shareck & Julie Vallée, 2016. "Comments on Melis et al . The Effects of the Urban Built Environment on Mental Health: A Cohort Study in a Large Northern Italian City. Int. J. Environ. Res. Public Health , 2015, 12 , 14898–14915," IJERPH, MDPI, vol. 13(3), pages 1-4, February.

    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. Shareck, Martine & Kestens, Yan & Frohlich, Katherine L., 2014. "Moving beyond the residential neighborhood to explore social inequalities in exposure to area-level disadvantage: Results from the Interdisciplinary Study on Inequalities in Smoking," Social Science & Medicine, Elsevier, vol. 108(C), pages 106-114.
    2. Kamruzzaman, Md. & Hine, Julian & Gunay, Banihan & Blair, Neale, 2011. "Using GIS to visualise and evaluate student travel behaviour," Journal of Transport Geography, Elsevier, vol. 19(1), pages 13-32.
    3. Tao, Sui & He, Sylvia Y. & Kwan, Mei-Po & Luo, Shuli, 2020. "Does low income translate into lower mobility? An investigation of activity space in Hong Kong between 2002 and 2011," Journal of Transport Geography, Elsevier, vol. 82(C).
    4. 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.
    5. Tana & Mei-Po Kwan & Yanwei Chai, 2016. "Urban form, car ownership and activity space in inner suburbs: A comparison between Beijing (China) and Chicago (United States)," Urban Studies, Urban Studies Journal Limited, vol. 53(9), pages 1784-1802, July.
    6. Jue Wang & Mei-Po Kwan & Yanwei Chai, 2018. "An Innovative Context-Based Crystal-Growth Activity Space Method for Environmental Exposure Assessment: A Study Using GIS and GPS Trajectory Data Collected in Chicago," IJERPH, MDPI, vol. 15(4), pages 1-24, April.
    7. Malia Jones & Anne Pebley, 2014. "Redefining Neighborhoods Using Common Destinations: Social Characteristics of Activity Spaces and Home Census Tracts Compared," Demography, Springer;Population Association of America (PAA), vol. 51(3), pages 727-752, June.
    8. Haseeb, Attiya & Mitra, Raktim, 2023. "Do environmentally sustainable travel behaviours contribute to transportation-related social exclusion?," Journal of Transport Geography, Elsevier, vol. 113(C).
    9. Ivory, Vivienne C. & Blakely, Tony & Pearce, Jamie & Witten, Karen & Bagheri, Nasser & Badland, Hannah & Schofield, Grant, 2015. "Could strength of exposure to the residential neighbourhood modify associations between walkability and physical activity?," Social Science & Medicine, Elsevier, vol. 147(C), pages 232-241.
    10. 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.
    11. Sharp, Gregory & Denney, Justin T. & Kimbro, Rachel T., 2015. "Multiple contexts of exposure: Activity spaces, residential neighborhoods, and self-rated health," Social Science & Medicine, Elsevier, vol. 146(C), pages 204-213.
    12. Duan, Zhengyu & Zhao, Haoran & Li, Zhenming, 2023. "Non-linear effects of built environment and socio-demographics on activity space," Journal of Transport Geography, Elsevier, vol. 111(C).
    13. 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.
    14. 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.
    15. Gerlinde Grasser & Delfien Dyck & Sylvia Titze & Willibald Stronegger, 2013. "Objectively measured walkability and active transport and weight-related outcomes in adults: a systematic review," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(4), pages 615-625, August.
    16. 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.
    17. Charles Raux & Tai-Yu Ma & Eric Cornelis, 2016. "Variability in daily activity-travel patterns: the case of a one-week travel diary," Post-Print halshs-01389479, HAL.
    18. Raux, Charles & Zoubir, Ayman & Geyik, Mirkan, 2017. "Who are bike sharing schemes members and do they travel differently? The case of Lyon’s “Velo’v” scheme," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 350-363.
    19. 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.
    20. Ciscal-Terry, Wilner & Dell'Amico, Mauro & Hadjidimitriou, Natalia Selini & Iori, Manuel, 2016. "An analysis of drivers route choice behaviour using GPS data and optimal alternatives," Journal of Transport Geography, Elsevier, vol. 51(C), pages 119-129.

    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:119:y:2014:i:c:p:64-73. 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.