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Articles

Children's school commuting in the Netherlands: Does it matter how urban form is incorporated in mode choice models?

Pages 507-517 | Received 16 Sep 2016, Accepted 19 Dec 2016, Published online: 05 Apr 2017

References

  • Aarts, M. J., Mathijssen, J. J., Van Oers, J. A., & Schuit, A. J. (2013). Associations between environmental characteristics and active commuting to school among children: A cross-sectional study. International Journal of Behavioral Medicine, 20(4), 538–555.
  • Adams, M. A., Frank, L. D., Schipperijn, J., Smith, G., Chapman, J., Christiansen, L. B., Coffee, N., Salvo, D., Toit, L. d., Dygrýn, J., Ferreira Hino, A. A., Lai, P.-C., Mavoa, S., Pinzón, J. D., Van de Weghe, N., Cerin, E., Davey, R., Macfarlane, D., Owen, N., & Sallis, J. F. (2014). International variation in neighborhood walkability, transit, and recreation environments using geographic information systems: The IPEN adult study. International Journal of Health Geographics, 13(1), 1.
  • Badland, H. M., Schofield, G. M., & Garrett, N. (2008). Travel behavior and objectively measured urban design variables: Associations for adults traveling to work. Health & Place, 14(1), 85–95.
  • BAG. (2013). Kadaster. Retrieved 21 December 2013, from https://www.kadaster.nl/bag
  • Bauman, A. E., Reis, R. S., Sallis, J. F., Wells, J. C., Loos, R. J., Martin, B. W., & Lancet Physical Activity Series Working Group. (2012). Correlates of physical activity: Why are some people physically active and others not? The Lancet, 380(9838), 258–271.
  • Belitz, C., Brezger, A., Klein, N., Kneib, T., Lang, S., & Umlauf, N. (2015). BayesX—Software for Bayesian inference in structured additive regression models. Retrieved from http://www.bayesx.org
  • Böcker, L., Dijst, M., Farber, J, & Helbich, M. (2015). En-route weather and place valuations for different transport mode users. Journal of Transport Geography, 47, 128–138.
  • Børrestad, L. A., Andersen, L. B., & Bere, E. (2011). Seasonal and socio-demographic determinants of school commuting. Preventive Medicine, 52(2), 133–135.
  • Broberg, A., Salminen, S., & Kyttä, M. (2013). Physical environmental characteristics promoting independent and active transport to children's meaningful places. Applied Geography, 38, 43–52.
  • Broberg, A., & Sarjala, S. (2015). School travel mode choice and the characteristics of the urban built environment: the case of Helsinki, Finland. Transport Policy, 37, 1–10.
  • Brownson, R. C., Hoehner, C. M., Day, K., Forsyth, A., & Sallis, J. F. (2009). Measuring the built environment for physical activity: State of the science. American Journal of Preventive Medicine, 36(4), S99–S123.
  • Bringolf-Isler, B., Grize, L., Mäder, U., Ruch, N., Sennhauser, F. H., & Braun-Fahrländer, C. (2008). Personal and environmental factors associated with active commuting to school in Switzerland. Preventive Medicine, 46(1), 67–73.
  • Carver, A., Timperio, A., & Crawford, D. (2013). Parental chauffeurs: What drives their transport choice? Journal of Transport Geography, 26, 72–77.
  • Cervero, R., & Kockelman, K. (1997). Travel demand and the 3Ds: Density, diversity, and design. Transportation Research Part D: Transport and Environment, 2(3), 199–219.
  • Chillón, P., Hales, D., Vaughn, A., Gizlice, Z., Ni, A., & Ward, D. S. (2014). A cross-sectional study of demographic, environmental and parental barriers to active school travel among children in the United States. International Journal of Behavioral Nutrition and Physical Activity, 11(1), 61.
  • Clark, A. F., Scott, D. M., & Yiannakoulias, N. (2014). Examining the relationship between active travel, weather, and the built environment: A multilevel approach using a GPS-enhanced dataset. Transportation, 41(2), 325–338.
  • Cooper, C. H. (2015). Spatial localization of closeness and betweenness measures: A self-contradictory but useful form of network analysis. International Journal of Geographical Information Science, 29(8), 1293–1309.
  • D'Haese, S., De Meester, F., De Bourdeaudhuij, I., Deforche, B., & Cardon, G. (2011). Criterion distances and environmental correlates of active commuting to school in children. International Journal of Behavioral Nutrition and Physical Activity, 8(1), 88.
  • De Vries, S. I., Hopman-Rock, M., Bakker, I., Hirasing, R. A., & Van Mechelen, W. (2010). Built environmental correlates of walking and cycling in Dutch urban children: Results from the SPACE study. International Journal of Environmental Research and Public Health, 7(5), 2309–2324.
  • Duncan, M. J., Badland, H. M., & Mummery, W. K. (2009). Applying GPS to enhance understanding of transport-related physical activity. Journal of Science and Medicine in Sport, 12(5), 549–556.
  • Duncan, S., White, K., Mavoa, S., Stewart, T., Hinckson, E., & Schofield, G. (2015). Active transport, physical activity, and distance between home and school in children and adolescents. Journal of Physical Activity & Health, 13(4).
  • Ermagun, A., & Levinson, D. (2017). Public transit, active travel, and the journey to school: A cross-nested logit analysis. Transportmetrica A: Transport Science, 13(1), 24–37.
  • Ewing, R., Schroeer, W., & Greene, W. (2004). School location and student travel analysis of factors affecting mode choice. Transportation Research Record: Journal of the Transportation Research Board, (1895), 55–63.
  • Ewing, R., & Cervero, R. (2010). Travel and the built environment: A meta-analysis. Journal of the American Planning Association, 76(3), 265–294.
  • Faulkner, G. E., Buliung, R. N., Flora, P. K., & Fusco, C. (2009). Active school transport, physical activity levels and body weight of children and youth: A systematic review. Preventive Medicine, 48(1), 3–8.
  • Ferrari, E., & Green, M. A. (2013). Travel to school and housing markets: A case study of Sheffield, England. Environment and Planning A, 45(11), 2771–2788.
  • Fishman, E., Böcker, L., & Helbich, M. (2015). Adult active transport in the Netherlands: An analysis of its contribution to physical activity requirements. PLoS ONE, 10(4), e0121871.
  • Frank, L. D., Sallis, J. F., Conway, T. L., Chapman, J. E., Saelens, B. E., & Bachman, W. (2006). Many pathways from land use to health: Associations between neighborhood walkability and active transportation, body mass index, and air quality. Journal of the American Planning Association, 72(1), 75–87.
  • Frank, L. D., Sallis, J. F., Saelens, B. E., Leary, L., Cain, K., Conway, T. L., & Hess, P. M. (2010). The development of a walkability index: Application to the Neighborhood Quality of Life Study. British Journal of Sports Medicine, 44(13), 924–933.
  • Fyhri, A., & Hjorthol, R. (2009). Children's independent mobility to school, friends and leisure activities. Journal of Transport Geography, 17(5), 377–384.
  • Gelman, A., & Hill, J. (2006). Data analysis using regression and multilevel/hierarchical models. Cambridge University Press.
  • Giles-Corti, B., Timperio, A., Bull, F., & Pikora, T. (2005). Understanding physical activity environmental correlates: Increased specificity for ecological models. Exercise and Sport Sciences Reviews, 33(4), 175–181.
  • Giles-Corti, B., Wood, G., Pikora, T., Learnihan, V., Bulsara, M., Van Niel, K., Timperio, A., McCormack, G., & Villanueva, K. (2011). School site and the potential to walk to school: The impact of street connectivity and traffic exposure in school neighborhoods. Health & Place, 17(2), 545–550.
  • Harrison, F., Burgoine, T., Corder, K., Van Sluijs, E. M., & Jones, A. (2014). How well do modelled routes to school record the environments children are exposed to? A cross-sectional comparison of GIS-modelled and GPS-measured routes to school. International Journal of Health Geographics, 13(1), 1.
  • Hazeu, G. W., Schuiling, C., Van Dorland, G. J., Oldengarm, J., & Gijsbertse, H. A. (2010). Landelijk Grondgebruiksbestand Nederland versie 6 (LGN6): vervaardiging, nauwkeurigheid en gebruik ( No. 2012, 132). Alterra.
  • Helbich, M., Jochem, A., Mücke, W., & Höfle, B. (2013). Boosting the predictive accuracy of urban hedonic house price models through airborne laser scanning. Computers, Environment and Urban Systems, 39, 81–92.
  • Helbich, M., Böcker, L., & Dijst, M. (2014). Geographic heterogeneity in cycling under various weather conditions: Evidence from Greater Rotterdam. Journal of Transport Geography, 38, 38–47.
  • Helbich, M., Van Emmichoven, M. J. Z., Dijst, M. J., Kwan, M. P., Pierik, F. H., & de Vries, S. I. (2016). Natural and built environmental exposures on children's active school travel: A Dutch global positioning system-based cross-sectional study. Health & Place, 39, 101–109.
  • Herweijer, L., & Vogels, H. M. G. (2004). Ouders over opvoeding en onderwijs. Sociaal en Cultureel Planbureau.
  • Hildebrandt, V., Bernaards, C., Chorus, A., & Hofstetter, H. (2013). Bewegen in Nederland 2000–2011. In V. Hildebrandt, et al. (Eds.), Trendrapport bewegen en gezondheid 2010/2011 (pp. 9–39). Leiden: TNO.
  • Janssen, I., & LeBlanc, A. G. (2010). Systematic review of the health benefits of physical activity and fitness in school-aged children and youth. International Journal of Behavioral Nutrition and Physical Activity, 7(40), 1–16.
  • Jokar Arsanjani, J., Zipf, A., Mooney, P., & Helbich, M. (2015). An Introduction to OpenStreetMap in geographic information science: Experiences, research, and applications. In J. Jokar, et al. (Eds.), OpenStreetMap in geographic information science (pp. 1–15). Heidelberg: Springer.
  • Jolliffe, I. (2002). Principal component analysis. John Wiley & Sons, Ltd.
  • Kaplan, S., Nielsen, T. A. S., & Prato, C. G. (2016). Walking, cycling and the urban form: A Heckman selection model of active travel mode and distance by young adolescents. Transportation Research Part D: Transport and Environment, 44, 55–65.
  • Kemperman, A., & Timmermans, H. (2014). Environmental correlates of active travel behavior of children. Environment and Behavior, 46(5), 583–608.
  • Kerr, J., Rosenberg, D., Sallis, J. F., Saelens, B. E., Frank, L. D., & Conway, T. L. (2006). Active commuting to school: Associations with environment and parental concerns. Medicine and Science in Sports and Exercise, 38(4), 787.
  • Kerr, J., Duncan, S., & Schipperjin, J. (2011). Using global positioning systems in health research: A practical approach to data collection and processing. American Journal of Preventive Medicine, 41(5), 532–540.
  • Koohsari, M. J., Sugiyama, T., Mavoa, S., Villanueva, K., Badland, H., Giles-Corti, B., & Owen, N. (2016). Street network measures and adults' walking for transport: Application of space syntax. Health & Place, 38, 89–95.
  • Krenn, P. J., Oja, P., & Titze, S. (2014). Route choices of transport bicyclists: A comparison of actually used and shortest routes. International Journal of Behavioral Nutrition and Physical Activity, 11(31).
  • Larouche, R., Saunders, T. J., Faulkner, G. E. J., Colley, R., & Tremblay, M. (2014). Associations between active school transport and physical activity, body composition, and cardiovascular fitness: A systematic review of 68 studies. Journal of Physical Activity & Health, 11(1).
  • Larsen, K., Gilliland, J., Hess, P., Tucker, P., Irwin, J., & He, M. (2009). The influence of the physical environment and sociodemographic characteristics on children's mode of travel to and from school. American Journal of Public Health, 99(3), 520–526.
  • Larsen, K., Gilliland, J., & Hess, P. M. (2012). Route-based analysis to capture the environmental influences on a child's mode of travel between home and school. Annals of the Association of American Geographers, 102(6), 1348–1365.
  • Lu, W., McKyer, E. L. J., Lee, C., Goodson, P., Ory, M. G., & Wang, S. (2014). Perceived barriers to children's active commuting to school: A systematic review of empirical, methodological and theoretical evidence. International Journal of Behavioral Nutrition and Physical Activity, 11(1), 140.
  • Maas, J., Sterkenburg, R. P., de Vries, S. I., & Pierik, F. (2013). Using GPS to measure the interaction between individuals and their neighbourhood. In Neighbourhood structure and health promotion (pp. 153–175). US: Springer.
  • Manaugh, K., & El-Geneidy, A. (2011). Validating walkability indices: How do different households respond to the walkability of their neighborhood? Transportation Research Part D: Transport and Environment, 16(4), 309–315.
  • McDonald, N. C. (2008). Children's mode choice for the school trip: The role of distance and school location in walking to school. Transportation, 35(1), 23–35.
  • McMillan, T. (2007). The relative influence of urban form on a child's travel mode to school. Transportation Research Part A: Policy and Practice, 41(1), 69–79.
  • Mitra, R. (2013). Independent mobility and mode choice for school transportation: A review and framework for future research. Transport Reviews, 33(1), 21–43.
  • Mitra, R., Faulkner, G. E., Buliung, R. N., & Stone, M. R. (2014). Do parental perceptions of the neighbourhood environment influence children's independent mobility? Evidence from Toronto, Canada. Urban Studies, 51(16), 3401–3419.
  • Mitra, R., Papaioannou, E., & Habib, K. (2016). Past and present of active school transportation: An explanation of the influence of the built environment in Toronto, Canada, from 1986 to 2006. Journal of Transport and Land Use, 9(2), 25–41.
  • Mokhtarian, P. L., & Cao, X. (2008). Examining the impacts of residential self-selection on travel behavior: A focus on methodologies. Transportation Research Part B: Methodological, 42(3), 204–228.
  • Müller, S., Tscharaktschiew, S., & Haase, K. (2008). Travel-to-school mode choice modelling and patterns of school choice in urban areas. Journal of Transport Geography, 16(5), 342–357.
  • Nieuwenhuijsen, M. J., Khreis, H., Verlinghieri, E., & Rojas-Rueda, D. (2016). Transport and health: A marriage of convenience or an absolute necessity. Environment International, 88, 150–152.
  • Noland, R., Park, H., Von Hagen, L. A., & Chatman, D. G. (2014). A mode choice analysis of school trips in New Jersey. Journal of Transport and Land Use, 7(2), 111–133.
  • Oliver, M., Badland, H., Mavoa, S., Witten, K., Kearns, R., Ellaway, A., Hinckson, E., Mackay, L., & Schluter, P. J. (2014). Environmental and socio-demographic associates of children's active transport to school: a cross-sectional investigation from the URBAN Study. International Journal of Behavioral Nutrition and Physical Activity, 11(1), 70.
  • Owen, C. G., Nightingale, C. M., Rudnicka, A. R., Van Sluijs, E. M., Ekelund, U., Cook, D. G., & Whincup, P. H. (2012). Travel to school and physical activity levels in 9–10 year-old UK children of different ethnic origin; child heart and health study in England (CHASE). PloS ONE, 7(2), e30932.
  • Panter, J. R., Jones, A. P., Van Sluijs, E. M., & Griffin, S. J. (2010). Neighborhood, route, and school environments and children's active commuting. American Journal of Preventive Medicine, 38(3), 268–278.
  • Panter, J., Corder, K., Griffin, S. J., Jones, A. P., & Van Sluijs, E. M. (2013). Individual, socio-cultural and environmental predictors of uptake and maintenance of active commuting in children: longitudinal results from the SPEEDY study. International Journal of Behavioral Nutrition and Physical Activity, 10(1), 83.
  • Park, Y. M., & Kwan, M. P. (2017). Individual exposure estimates may be erroneous when spatiotemporal variability of air pollution and human mobility are ignored. Health & Place, 43, 85–94.
  • Pont, K., Ziviani, J., Wadley, D., Bennett, S., & Abbott, R. (2009). Environmental correlates of children's active transportation: a systematic literature review. Health & Place, 15(3), 849–862.
  • Pucher, J., & Buehler, R. (2008). Making cycling irresistible: Lessons from the Netherlands, Denmark and Germany. Transport Reviews, 28(4), 495–528.
  • Saelens, B. E., & Handy, S. L. (2008). Built environment correlates of walking: A review. Medicine and Science in Sports and Exercise, 40(7 Suppl.), S550.
  • Sallis, J. F., Spoon, C., Cavill, N., Engelberg, J. K., Gebel, K., Parker, M., Thornton, C. M., Lou, D., Wilson, A. L., Cutter, C. L., & Ding, D. (2015). Co-benefits of designing communities for active living: An exploration of literature. International Journal of Behavioral Nutrition and Physical Activity, 12.
  • Schlossberg, M., Greene, J., Phillips, P. P., Johnson, B., & Parker, B. (2006). School trips: Effects of urban form and distance on travel mode. Journal of the American Planning Association, 72(3), 337–346.
  • Sirard, J. R., & Slater, M. E. (2008). Walking and bicycling to school: A review. American Journal of Lifestyle Medicine, 2(5), 372–396.
  • Steinbach, R., Green, J., & Edwards, P. (2012). Look who's walking: Social and environmental correlates of children's walking in London. Health & Place, 18(4), 917–927.
  • Sterkenburg, R. P., Pierik, F. H., & De Vries, S. I. (2012). Filtering GPS Tracks: cluster detection, cluster classification and transportation mode classification. No. TNO-060-UT-2012-01287, 31.
  • Stigell, E., & Schantz, P. (2011). Methods for determining route distances in active commuting—Their validity and reproducibility. Journal of Transport Geography, 19(4), 563–574.
  • Umlauf, N., Adler, D., Kneib, T., Lang, S., & Zeileis, A. (2015). Structured additive regression models: An R interface to BayesX. Journal of Statistical Software, 63(21), 1–46.
  • Van Goeverden, C. D., & De Boer, E. (2013). School travel behaviour in the Netherlands and Flanders. Transport Policy, 26, 73–84.
  • Van Kann, D. H. H., Kremers, S. P. J., Gubbels, J. S., Bartelink, N. H. M., De Vries, S. I., de Vries, N. K., & Jansen, M. W. J. (2014). The association between the physical environment of primary schools and active school transport. Environment and Behavior, 47, 418–435.
  • Van Loon, J., & Frank, L. (2011). Urban form relationships with youth physical activity: Implications for research and practice. Journal of Planning Literature, 26, 280–308.
  • van Wee, B., & Ettema, D. (2016). Travel behaviour and health: A conceptual model and research agenda. Journal of Transport & Health, 3(3), 240–248.
  • Waterschapshuis, H. (2008). Actueel Hoogtebestand Nederland.
  • Woldeamanuel, M. (2016). Younger teens' mode choice for school trips: Do parents' attitudes toward safety and traffic conditions along the school route matter? International Journal of Sustainable Transportation, 10(2), 147–155.
  • Wong, B. Y. M., Faulkner, G., & Buliung, R. (2011). GIS measured environmental correlates of active school transport: a systematic review of 14 studies. International Journal of Behavioral Nutrition and Physical Activity, 8(39), 1479–5868.
  • Yeung, J., Wearing, S., & Hills, A. (2008). Child transport practices and perceived barriers in active commuting to school. Transportation Research Part A: Policy and Practice, 42(6), 895–900.
  • Zou, H., & Hastie, T. (2005). Regularization and variable selection via the elastic net. Journal of the Royal Statistical Society: Series B, 67, 301–320.
  • Zhou, J. (2016). Proactive sustainable university transportation: Marginal effects, intrinsic values, and university students' mode choice. International Journal of Sustainable Transportation, 10(9), 815–824.