IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v13y2016i6p611-d72371.html
   My bibliography  Save this article

Walk Score, Transportation Mode Choice, and Walking Among French Adults: A GPS, Accelerometer, and Mobility Survey Study

Author

Listed:
  • Dustin T. Duncan

    (Department of Population Health, New York University School of Medicine, New York, NY 10016, USA
    College of Global Public Health, New York University, New York, NY 10016, USA
    Population Center, New York University, New York, NY 10016, USA
    Center for Data Science, New York University, New York, NY 10016, USA)

  • Julie Méline

    (Inserm, UMR-S 1136, Pierre Louis Institute of Epidemiology and Public Health, Nemesis Team, Paris 75012, France
    Sorbonne Universités, UPMC Unv Paris 06, UMR-S 1136, Pierre Louis Institute of Epidemiology and Public Health, Nemesis Team, Paris 75012, France)

  • Yan Kestens

    (Department of Social and Preventive Medicine, École de Santé Publique de l’Université de Montréal, Montreal, Montréal, QC H3N 1X9, Canada)

  • Kristen Day

    (Department of Technology, Culture and Society, New York University Tandon School of Engineering, New York, NY 11201, USA)

  • Brian Elbel

    (Department of Population Health, New York University School of Medicine, New York, NY 10016, USA
    Wagner School of Public Service, New York University, New York, NY 10012, USA)

  • Leonardo Trasande

    (Department of Population Health, New York University School of Medicine, New York, NY 10016, USA
    College of Global Public Health, New York University, New York, NY 10016, USA
    Departments of Pediatrics and Environmental Medicine, New York University School of Medicine, New York, NY 10016, USA)

  • Basile Chaix

    (Inserm, UMR-S 1136, Pierre Louis Institute of Epidemiology and Public Health, Nemesis Team, Paris 75012, France
    Sorbonne Universités, UPMC Unv Paris 06, UMR-S 1136, Pierre Louis Institute of Epidemiology and Public Health, Nemesis Team, Paris 75012, France)

Abstract

Background: Few studies have used GPS data to analyze the relationship between Walk Score, transportation choice and walking. Additionally, the influence of Walk Score is understudied using trips rather than individuals as statistical units. The purpose of this study is to examine associations at the trip level between Walk Score, transportation mode choice, and walking among Paris adults who were tracked with GPS receivers and accelerometers in the RECORD GPS Study. Methods: In the RECORD GPS Study, 227 participants were tracked during seven days with GPS receivers and accelerometers. Participants were also surveyed with a GPS-based web mapping application on their activities and transportation modes for all trips (6969 trips). Walk Score, which calculates neighborhood walkability, was assessed for each origin and destination of every trip. Multilevel logistic and linear regression analyses were conducted to estimate associations between Walk Score and walking in the trip or accelerometry-assessed number of steps for each trip, after adjustment for individual/neighborhood characteristics. Results: The mean overall Walk Scores for trip origins were 87.1 (SD = 14.4) and for trip destinations 87.1 (SD = 14.5). In adjusted trip-level associations between Walk Score and walking only in the trip, we found that a walkable neighborhood in the trip origin and trip destination was associated with increased odds of walking in the trip assessed in the survey. The odds of only walking in the trip were 3.48 (95% CI: 2.73 to 4.44) times higher when the Walk Score for the trip origin was “Walker’s Paradise” compared to less walkable neighborhoods (Very/Car-Dependent or Somewhat Walkable), with an identical independent effect of trip destination Walk Score on walking. The number of steps per 10 min (as assessed with accelerometry) was cumulatively higher for trips both originating and ending in walkable neighborhoods ( i.e. , “Very Walkable”). Conclusions: Walkable neighborhoods were associated with increases in walking among adults in Paris, as documented at the trip level. Creating walkable neighborhoods (through neighborhood design increased commercial activity) may increase walking trips and, therefore, could be a relevant health promotion strategy to increase physical activity.

Suggested Citation

  • Dustin T. Duncan & Julie Méline & Yan Kestens & Kristen Day & Brian Elbel & Leonardo Trasande & Basile Chaix, 2016. "Walk Score, Transportation Mode Choice, and Walking Among French Adults: A GPS, Accelerometer, and Mobility Survey Study," IJERPH, MDPI, vol. 13(6), pages 1-14, June.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:6:p:611-:d:72371
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/13/6/611/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/13/6/611/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Noëlla Karusisi & Frédérique Thomas & Julie Méline & Ruben Brondeel & Basile Chaix, 2014. "Environmental Conditions around Itineraries to Destinations as Correlates of Walking for Transportation among Adults: The RECORD Cohort Study," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-8, May.
    3. Peter James & Jaime E. Hart & Mariana C. Arcaya & Diane Feskanich & Francine Laden & S.V. Subramanian, 2015. "Neighborhood Self-Selection: The Role of Pre-Move Health Factors on the Built and Socioeconomic Environment," IJERPH, MDPI, vol. 12(10), pages 1-16, October.
    4. Hirsch, J.A. & Roux, A.V.D. & Moore, K.A. & Evenson, K.R. & Rodriguez, D.A., 2014. "Change in walking and body mass index following residential relocation: The multi-ethnic study of atherosclerosis," American Journal of Public Health, American Public Health Association, vol. 104(3), pages 49-56.
    5. Bertrais, S. & Preziosi, P. & Mennen, L. & Galan, P. & Hercberg, S. & Oppert, J.-M., 2004. "Sociodemographic and geographic correlates of meeting current recommendations for physical activity in middle-aged French adults: The supplémentation en vitamines et minéraux antioxydants (SUVIMAX) st," American Journal of Public Health, American Public Health Association, vol. 94(9), pages 1560-1566.
    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. Zhehao Zhang & Haiming Wang & Lei Pang & Thomas Fisher & Shuo Yang, 2023. "Comparisons of Built Environment Correlates of Walking in Urban and Suburban Campuses: A Case Study of Tianjin, China," Land, MDPI, vol. 12(11), pages 1-26, October.
    2. Levi Frehlich & Anita Blackstaffe & Gavin R. McCormack, 2019. "Test-Retest Reliability and Walk Score ® Neighbourhood Walkability Comparison of an Online Perceived Neighbourhood-Specific Adaptation of the International Physical Activity Questionnaire (IPAQ)," IJERPH, MDPI, vol. 16(11), pages 1-15, May.
    3. Bradley Bereitschaft, 2023. "The changing ethno-racial profile of ‘very walkable’ urban neighbourhoods in the US (2010–2020): Are minorities under-represented?," Urban Studies, Urban Studies Journal Limited, vol. 60(4), pages 638-654, March.
    4. Zhang, Zhehao & Wang, Haiming & Fisher, Thomas, 2024. "The development, validation, and application of the campus walk score measurement system," Transport Policy, Elsevier, vol. 152(C), pages 40-54.

    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. Médicoulé Traoré & Cécile Vuillermoz & Pierre Chauvin & Séverine Deguen, 2020. "Influence of Individual and Contextual Perceptions and of Multiple Neighborhoods on Depression," IJERPH, MDPI, vol. 17(6), pages 1-20, March.
    2. Sékou Samadoulougou & Laurence Letarte & Alexandre Lebel, 2022. "Association between Neighbourhood Deprivation Trajectories and Self-Perceived Health: Analysis of a Linked Survey and Health Administrative Data," IJERPH, MDPI, vol. 20(1), pages 1-14, December.
    3. J Padmaka Silva & Ankur Singh & Brian Oldenburg & Wasantha Gunathunga & A M A A P Alagiyawanna & Suzanne Mavoa, 2021. "Associations between residential greenness and self-reported heart disease in Sri Lankan men: A cross-sectional study," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-12, May.
    4. Ragna Stalsberg & Arve Vorland Pedersen, 2018. "Are Differences in Physical Activity across Socioeconomic Groups Associated with Choice of Physical Activity Variables to Report?," IJERPH, MDPI, vol. 15(5), pages 1-23, May.
    5. Aurélie Mercier & Stéphanie Souche‐Le Corvec & Nicolas Ovtracht, 2021. "Measure of accessibility to postal services in France: A potential spatial accessibility approach applied in an urban region," Papers in Regional Science, Wiley Blackwell, vol. 100(1), pages 227-249, February.
    6. Hamidreza Rabiei‐Dastjerdi & Stephen A. Matthews, 2021. "Who gets what, where, and how much? Composite index of spatial inequality for small areas in Tehran," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(1), pages 191-205, February.
    7. Éva Bácsné Bába & Anetta Müller & Christa Pfau & Renátó Balogh & Éva Bartha & György Szabados & Zoltán Bács & Kinga Ráthonyi-Ódor & Gergely Ráthonyi, 2023. "Sedentary Behavior Patterns of the Hungarian Adult Population," IJERPH, MDPI, vol. 20(3), pages 1-15, February.
    8. Yang, Yongjiang & Sasaki, Kuniaki & Cheng, Long & Tao, Sui, 2022. "Does the built environment matter for active travel among older adults: Insights from Chiba City, Japan," Journal of Transport Geography, Elsevier, vol. 101(C).
    9. Carroll, Suzanne J. & Paquet, Catherine & Howard, Natasha J. & Coffee, Neil T. & Taylor, Anne W. & Niyonsenga, Theo & Daniel, Mark, 2016. "Local descriptive norms for overweight/obesity and physical inactivity, features of the built environment, and 10-year change in glycosylated haemoglobin in an Australian population-based biomedical c," Social Science & Medicine, Elsevier, vol. 166(C), pages 233-243.
    10. Dustin T. Duncan & DeMarc A. Hickson & William C. Goedel & Denton Callander & Brandon Brooks & Yen-Tyng Chen & Hillary Hanson & Rebecca Eavou & Aditya S. Khanna & Basile Chaix & Seann D. Regan & Darre, 2019. "The Social Context of HIV Prevention and Care among Black Men Who Have Sex with Men in Three U.S. Cities: The Neighborhoods and Networks (N2) Cohort Study," IJERPH, MDPI, vol. 16(11), pages 1-24, May.
    11. Xiaoqi Feng & Zhiqiang Feng & Thomas Astell-Burt, 2017. "Perceived public transport infrastructure modifies the association between public transport use and mental health: Multilevel analyses from the United Kingdom," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-17, August.
    12. 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.
    13. Anne-Claire Vergnaud & Mathilde Touvier & Caroline Méjean & Emmanuelle Kesse-Guyot & Clothilde Pollet & Aurélie Malon & Katia Castetbon & Serge Hercberg, 2011. "Agreement between web-based and paper versions of a socio-demographic questionnaire in the NutriNet-Santé study," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 56(4), pages 407-417, August.
    14. 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.
    15. Juliana Melo & Ana Isabel Ribeiro & Susana Aznar & Andreia Pizarro & Maria Paula Santos, 2021. "Urban Green Spaces, Greenness Exposure and Species Richness in Residential Environments and Relations with Physical Activity and BMI in Portuguese Adolescents," IJERPH, MDPI, vol. 18(12), pages 1-14, June.
    16. Shrestha, Samjhana & Kestens, Yan & Thomas, Frédérique & El Aarbaoui, Tarik & Chaix, Basile, 2019. "Spatial access to sport facilities from the multiple places visited and sport practice: Assessing and correcting biases related to selective daily mobility," Social Science & Medicine, Elsevier, vol. 236(C), pages 1-1.
    17. Petteway, Ryan J. & Mujahid, Mahasin & Allen, Amani & Morello-Frosch, Rachel, 2019. "The body language of place: A new method for mapping intergenerational “geographies of embodiment” in place-health research," Social Science & Medicine, Elsevier, vol. 223(C), pages 51-63.
    18. Hongwei Xu & John Logan & Susan Short, 2014. "Integrating Space With Place in Health Research: A Multilevel Spatial Investigation Using Child Mortality in 1880 Newark, New Jersey," Demography, Springer;Population Association of America (PAA), vol. 51(3), pages 811-834, June.
    19. Yuanfei Li & Dandan Zhao, 2021. "Education, neighbourhood context and depression of elderly Chinese," Urban Studies, Urban Studies Journal Limited, vol. 58(16), pages 3354-3370, December.
    20. Etile, Fabrice, 2014. "Education policies and health inequalities: Evidence from changes in the distribution of Body Mass Index in France, 1981–2003," Economics & Human Biology, Elsevier, vol. 13(C), pages 46-65.

    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:13:y:2016:i:6:p:611-:d:72371. 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.