215
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Assessing runners’ exposure to natural and built environments in the Netherlands: A descriptive assessment based on GPS tracking

, , &
Pages 2104-2123 | Received 16 Dec 2022, Accepted 01 May 2023, Published online: 29 May 2023

References

  • Badland HM, Duncan MJ, Oliver M, Duncan JS, Mavoa S. 2010. Examining commute routes: applications of GIS and GPS technology. Environ Health Prev Med. 15(5):327–330. doi:10.1007/s12199-010-0138-1.
  • Berke EM, Koepsell TD, Moudon AV, Hoskins RE, Larson EB. 2007. Association of the built environment with physical activity and obesity in older persons. Am J Public Health. 97(3):486–492. doi:10.2105/AJPH.2006.085837.
  • Bull FC, Al-Ansari SS, Biddle S, Borodulin K, Buman MP, Cardon G, Carty C, Chaput J-P, Chastin S, Chou R, et al. 2020. World health organization 2020 guidelines on physical activity and sedentary behaviour. Br J Sports Med. 54(24):1451–1462. doi:10.1136/bjsports-2020-102955.
  • Cervero R, Kockelman K. 1997. Travel demand and the 3ds: density, diversity, and design. Transp Res Part D Transp Environ. 2(3):199–219. doi:10.1016/S1361-9209(97)00009-6.
  • Deelen I, Jansen M, Dogterom NJ, Kamphuis CB, Ettema D. 2017. Do objective neighbourhood characteristics relate to residents’ preferences for certain sports locations? a cross-sectional study using a discrete choice modelling approach. BMC Public Health. 17(1):1–10. doi:10.1186/s12889-017-4949-5.
  • Deelen I, Janssen M, Vos S, Kamphuis CB, Ettema D. 2019. Attractive running environments for all? a cross-sectional study on physical environmental characteristics and runners’ motives and attitudes, in relation to the experience of the running environment. BMC Public Health. 19(1):1–15. doi:10.1186/s12889-019-6676-6.
  • Dessing D, de Vries SI, Hegeman G, Verhagen E, Van Mechelen W, Pierik FH. 2016. Children’s route choice during active transportation to school: difference between shortest and actual route. Int J Behav Nutr Phys Act. 13(1):1–11. doi:10.1186/s12966-016-0373-y.
  • Dijkstra L, Poelman H, Veneri P. 2019. The EU-OECD definition of a functional urban area. OECD Regional Development Working Papers. No. 2019/11. doi:10.1787/d58cb34d-en.
  • Duncan MJ, Badland HM, Mummery WK. 2009. Applying GPS to enhance understanding of transport-related physical activity. J Sci Med Sport. 12(5):549–556. doi:10.1016/j.jsams.2008.10.010.
  • Ettema D. 2016. Runnable cities: how does the running environment influence perceived attractiveness, restorativeness, and running frequency? Environ Behav. 48(9):1127–1147. doi:10.1177/0013916515596364.
  • Ewing R, Meakins G, Hamidi S, Nelson AC. 2014. Relationship between urban sprawl and physical activity, obesity, and morbidity–update and refinement. Health & Place. 26:118–126. doi:10.1016/j.healthplace.2013.12.008.
  • Ewing R, Schmid T, Killingsworth R, Zlot A, Raudenbush S. 2003. Relationship between urban sprawl and physical activity, obesity, and morbidity. Am J Health Promot. 18(1):47–57. doi:10.4278/0890-1171-18.1.47.
  • Farrell WJ, Cavellin LD, Weichenthal S, Goldberg M, Hatzopoulou M. 2015. Capturing the urban canyon effect on particle number concentrations across a large road network using spatial analysis tools. Build Environ. 92:328–334. doi:10.1016/j.buildenv.2015.05.004.
  • García J, Lera-López F, Suárez MJ. 2011. Estimation of a structural model of the determinants of the time spent on physical activity and sport: evidence for spain. J Sports Econom. 12(5):515–537. doi:10.1177/1527002510387080.
  • Golle K, Granacher U, Hoffmann M, Wick D, Muehlbauer T. 2014. Effect of living area and sports club participation on physical fitness in children: a 4 year longitudinal study. BMC Public Health. 14(1):1–8. doi:10.1186/1471-2458-14-499.
  • Hitchings R, Latham A. 2017. How ‘social’is recreational running? findings from a qualitative study in London and implications for public health promotion. Health & Place. 46:337–343. doi:10.1016/j.healthplace.2016.10.003.
  • Hoekman R, Breedveld K, Kraaykamp G. 2017. Sport participation and the social and physical environment: explaining differences between urban and rural areas in the netherlands. Leisure Stud. 36(3):357–370.
  • Hover P, van der Werff H, Breedveld K. 2015. Rising participation rates, shifting segments. In: Running across Europe. The rise and size of one of the largest sport markets. New York, NY, USA: Springer; pp. 187–207.
  • James P, Berrigan D, Hart JE, Hipp JA, Hoehner CM, Kerr J, Major JM, Oka M, Laden F. 2014. Effects of buffer size and shape on associations between the built environment and energy balance. Health & Place. 27:162–170. doi:10.1016/j.healthplace.2014.02.003.
  • Jankowska MM, Schipperijn J, Kerr J. 2015. A framework for using GPS data in physical activity and sedentary behavior studies. Exerc Sport Sci Rev. 43(1):48. doi:10.1249/JES.0000000000000035.
  • Jones AP, Coombes EG, Griffin SJ, van Sluijs EM. 2009. Environmental supportiveness for physical activity in English schoolchildren: a study using global positioning systems. Int J Behav Nutr Phys Act. 6(1):1–8. doi:10.1186/1479-5868-6-42.
  • Klompmaker JO, Hoek G, Bloemsma LD, Wijga AH, van den Brink C, Brunekreef B, Lebret E, Gehring U, Janssen NA. 2019. Associations of combined exposures to surrounding green, air pollution and traffic noise on mental health. Environ Int. 129:525–537. doi:10.1016/j.envint.2019.05.040.
  • Lee DC, Brellenthin AG, Thompson PD, Sui X, Lee I-M, Lavie CJ. 2017. Running as a key lifestyle medicine for longevity. Prog Cardiovasc Dis. 60(1):45–55. doi:10.1016/j.pcad.2017.03.005.
  • Lee I-M, Ewing R, Sesso HD. 2009. The built environment and physical activity levels: the Harvard alumni health study. Am J Prev Med. 37(4):293–298. doi:10.1016/j.amepre.2009.06.007.
  • Lee K, Kwan MP. 2019. The effects of GPS-based buffer size on the association between travel modes and environmental contexts. ISPRS Int J Geo-Infor. 8(11):514. doi:10.3390/ijgi8110514.
  • Loucaides CA, Chedzoy SM, Bennett N. 2004. Differences in physical activity levels between urban and rural school children in cyprus. Health Educ Res. 19(2):138–147. doi:10.1093/her/cyg014.
  • Madsen T, Schipperijn J, Christiansen LB, Nielsen TS, Troelsen J. 2014. Developing suitable buffers to capture transport cycling behavior. Frontiers In Public Health. 2:61. doi:10.3389/fpubh.2014.00061.
  • Oliver LN, Schuurman N, Hall AW. 2007. Comparing circular and network buffers to examine the influence of land use on walking for leisure and errands. Int J Health Geogr. 6(1):41. doi:10.1186/1476-072X-6-41.
  • Regis MF, Oliveira LMFTD, Santos ARMD, Leonidio ADCR, Diniz PRB, Freitas CMSMD. 2016. Estilos de vida urbano versus rural em adolescentes: associações entre meio-ambiente, nveis de atividade fsica e comportamento sedentário. Einstein (São Paulo). 14(4):461–467. doi:10.1590/s1679-45082016ao3788.
  • Rodríguez DA, Cho G-H, Evenson KR, Conway TL, Cohen D, Ghosh-Dastidar B, Pickrel JL, Veblen-Mortenson S, Lytle LA. 2012. Out and about: association of the built environment with physical activity behaviors of adolescent females. Health & Place. 18(1):55–62. doi:10.1016/j.healthplace.2011.08.020.
  • Romanillos G, Zaltz Austwick M, Ettema D, De Kruijf J. 2016. Big data and cycling. Transport Rev. 36(1):114–133. doi:10.1080/01441647.2015.1084067.
  • Sallis JF, Owen N. Ecological models. Health Behav Health Educ: Theory, Res, Pract. 1997;2:403–424.
  • Tamura K, Wilson JS, Goldfeld K, Puett RC, Klenosky DB, Harper WA, Troped PJ. 2019. Accelerometer and GPS data to analyze built environments and physical activity. Res Q Exercise Sport. 90(3):395–402. doi:10.1080/02701367.2019.1609649.
  • Troped PJ, Wilson JS, Matthews CE, Cromley EK, Melly SJ. 2010. The built environment and location-based physical activity. Am J Prev Med. 38(4):429–438. doi:10.1016/j.amepre.2009.12.032.
  • Tsimeas P, Tsiokanos A, Koutedakis Y, Tsigilis N, Kellis S. 2005. Does living in urban or rural settings affect aspects of physical fitness in children? an allometric approach. Br J Sports Med. 39(9):671–674. doi:10.1136/bjsm.2004.017384.
  • Wang Z, Ettema D, Helbich M. 2021. Objective environmental exposures correlate differently with recreational and transportation walking: a cross-sectional national study in the netherlands. Environ Res. 194:110591. doi:10.1016/j.envres.2020.110591.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.