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Sociodemographic and Built Environment Associates of Travel to School by Car among New Zealand Adolescents: Meta-Analysis

Author

Listed:
  • Sandra Mandic

    (School of Sport and Recreation, Faculty of Health and Environmental Sciences, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand
    Active Living Laboratory, School of Physical Education, Sport and Exercise Sciences, University of Otago, P.O. Box 56, Dunedin 9054, New Zealand
    Centre for Sustainability, University of Otago, P.O. Box 56, Dunedin 9054, New Zealand)

  • Erika Ikeda

    (MRC Epidemiology Unit, University of Cambridge, Box 285 Institute of Metabolic Science Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK)

  • Tom Stewart

    (Human Potential Centre, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand)

  • Nicholas Garrett

    (Department of Biostatistics and Epidemiology, Faculty of Health and Environmental Sciences, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand)

  • Debbie Hopkins

    (Transport Study Unit, School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, UK)

  • Jennifer S. Mindell

    (Department of Epidemiology and Public Health, UCL (University College London), 1–19 Torrington Place, London WC1E 6BT, UK)

  • El Shadan Tautolo

    (Pacific Health Research Centre, School of Public Health & Interdisciplinary Studies, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand)

  • Melody Smith

    (School of Nursing, Faculty of Medical and Health Sciences, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand)

Abstract

Travelling to school by car diminishes opportunities for physical activity and contributes to traffic congestion and associated noise and air pollution. This meta-analysis examined sociodemographic characteristics and built environment associates of travelling to school by car compared to using active transport among New Zealand (NZ) adolescents. Four NZ studies (2163 adolescents) provided data on participants’ mode of travel to school, individual and school sociodemographic characteristics, distance to school and home-neighbourhood built-environment features. A one-step meta-analysis using individual participant data was performed in SAS. A final multivariable model was developed using stepwise logistic regression. Overall, 60.6% of participants travelled to school by car. When compared with active transport, travelling to school by car was positively associated with distance to school. Participants residing in neighbourhoods with high intersection density and attending medium deprivation schools were less likely to travel to school by car compared with their counterparts. Distance to school, school level deprivation and low home neighbourhood intersection density are associated with higher likelihood of car travel to school compared with active transport among NZ adolescents. Comprehensive interventions focusing on both social and built environment factors are needed to reduce car travel to school.

Suggested Citation

  • Sandra Mandic & Erika Ikeda & Tom Stewart & Nicholas Garrett & Debbie Hopkins & Jennifer S. Mindell & El Shadan Tautolo & Melody Smith, 2020. "Sociodemographic and Built Environment Associates of Travel to School by Car among New Zealand Adolescents: Meta-Analysis," IJERPH, MDPI, vol. 17(23), pages 1-17, December.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:23:p:9138-:d:458146
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    References listed on IDEAS

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    1. Simons, Dorien & De Bourdeaudhuij, Ilse & Clarys, Peter & de Geus, Bas & Vandelanotte, Corneel & Van Cauwenberg, Jelle & Deforche, Benedicte, 2017. "Choice of transport mode in emerging adulthood: Differences between secondary school students, studying young adults and working young adults and relations with gender, SES and living environment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 172-184.
    2. Sigrun Beige & Kay Axhausen, 2012. "Interdependencies between turning points in life and long-term mobility decisions," Transportation, Springer, vol. 39(4), pages 857-872, July.
    3. Mohammad Lutfur Rahman & Antoni Moore & Melody Smith & John Lieswyn & Sandra Mandic, 2020. "A Conceptual Framework for Modelling Safe Walking and Cycling Routes to High Schools," IJERPH, MDPI, vol. 17(9), pages 1-16, May.
    4. Geels, Frank W., 2012. "A socio-technical analysis of low-carbon transitions: introducing the multi-level perspective into transport studies," Journal of Transport Geography, Elsevier, vol. 24(C), pages 471-482.
    5. Hopkins, Debbie, 2016. "Can environmental awareness explain declining preference for car-based mobility amongst generation Y? A qualitative examination of learn to drive behaviours," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 149-163.
    6. Tim Schwanen, 2016. "Rethinking resilience as capacity to endure," City, Taylor & Francis Journals, vol. 20(1), pages 152-160, February.
    7. 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.
    8. Neves, Andre & Brand, Christian, 2019. "Assessing the potential for carbon emissions savings from replacing short car trips with walking and cycling using a mixed GPS-travel diary approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 123(C), pages 130-146.
    9. Anil Markandaya & Ben Armstrong & Simon Hales & Aline Chiabai & Patrick Criqui & Silvana Mima, 2009. "Impact on public health of strategies to reduce greenhouse gases : low carbon electricity generation," Post-Print halshs-00459664, HAL.
    10. Alireza Ermagun & Amir Samimi, 2018. "Mode choice and travel distance joint models in school trips," Transportation, Springer, vol. 45(6), pages 1755-1781, November.
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