Active travel, public transport and the built environment in youth: Interactions with perceived safety, distance to school, age and gender

被引:0
作者
Loh, Venurs [1 ,2 ]
Sahlqvist, Shannon [1 ]
Veitch, Jenny [1 ]
Walsh, Anthony [1 ]
Cerin, Ester [3 ,4 ]
Salmon, Jo [1 ]
Mavoa, Suzanne [5 ,6 ]
Timperio, Anna [1 ]
机构
[1] Deakin Univ, Inst Phys Act & Nutr IPAN, Sch Exercise & Nutr Sci, Geelong, Vic, Australia
[2] Victoria Univ, Coll Sport Hlth & Engn, Melbourne, Vic, Australia
[3] Australian Catholic Univ, Mary MacKillop Inst Hlth Res, Melbourne, Vic, Australia
[4] Univ Hong Kong, Sch Publ Hlth, Hong Kong, Peoples R China
[5] Univ Melbourne, Melbourne Sch Populat & Global Hlth, Parkville, Vic 3010, Australia
[6] Murdoch Childrens Res Inst MCRI, Parkville, Vic 3052, Australia
基金
澳大利亚研究理事会; 美国国家卫生研究院; 英国医学研究理事会;
关键词
Active transport; Sustainable travel; Public transport; Adolescents; Neighbourhood; School; VIGOROUS PHYSICAL-ACTIVITY; CHILDREN; ADOLESCENTS; NEIGHBORHOODS; WALKABILITY; CHILDHOOD; BARRIERS; OBESITY; WALKING;
D O I
10.1016/j.jth.2024.101895
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Introduction: This study examined interactive effects of the built environment, perceived safety, age and gender on active travel and public transport use among adolescents for school journeys. Method: This study used cross-sectional data from 440 adolescents (mean age 15.4 +/- 1.5 years, 58% girls) in Melbourne, Australia. Adolescents self-reported their school travel modes, perceptions of traffic and personal safety. Exclusive active travel and public transport use to/from school were determined. Objective built environment features around home and school (1 km buffer) were generated. Multilevel logistic regression was used to estimate main and interactive associations. Results: Overall, 18% travelled exclusively by active travel and 32% by public transport. Distance to school was negatively associated with exclusive active school travel (OR = 0.44, 95%CI: 0.34, 0.56). Distance to school moderated the association between some built environment attributes (land use mix, residential density around home, distance to public transport stops) and odds of active school travel. There was a positive association between residential density around school and active school travel among those who perceived their traffic environment to be safer. Boys were more likely than girls to use public transport if they lived further from school. A negative association between distance to a public transport stop from home and the odds of public transport use was observed among those who perceived their environment to be less safe. Conclusion: The findings highlight the complexity of influences on mode choice for the school journey. Distance to school remains one of the most important predictors of active travel/public transport use. Supportive built environment attributes, such as a diverse mix of land use around home had facilitating effects on active travel among adolescents who lived closer to school.
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页数:13
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共 70 条
  • [1] International variation in neighborhood walkability, transit, and recreation environments using geographic information systems: the IPEN adult study
    Adams, Marc A.
    Frank, Lawrence D.
    Schipperijn, Jasper
    Smith, Graham
    Chapman, James
    Christiansen, Lars B.
    Coffee, Neil
    Salvo, Deborah
    du Toit, Lorinne
    Dygryn, Jan
    Ferreira Hino, Adriano Akira
    Lai, Poh-chin
    Mavoa, Suzanne
    David Pinzon, Jose
    Van de Weghe, Nico
    Cerin, Ester
    Davey, Rachel
    Macfarlane, Duncan
    Owen, Neville
    Sallis, James F.
    [J]. INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS, 2014, 13
  • [2] Trends and determinants of active school travel among Australian secondary school students: national cross-sectional data from 2009 to 2018
    Adepoyibi, Temitope
    Dixon, Helen
    Gidding, Heather
    Taylor, Richard
    Morley, Belinda
    [J]. AUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH, 2022, 46 (06) : 800 - 806
  • [3] [Anonymous], 2016, AUSTR STAT GEOGRAPHY, V1
  • [4] [Anonymous], 2011, Census of population and housing: socio-economic indexes for areas (SEIFA)
  • [5] Australian Bureau of Statistics, 2021, Greater Melbourne. 2021 Census All Persons QuickStats
  • [6] Australian Institute of Health and Welfare, 2021, Physical activity
  • [7] Creating and applying public transport indicators to test pathways of behaviours and health through an urban transport framework
    Badland, Hannah M.
    Rachele, Jerome N.
    Roberts, Rebecca
    Giles-Corti, Billie
    [J]. JOURNAL OF TRANSPORT & HEALTH, 2017, 4 : 208 - 215
  • [8] Predictors of healthier and more sustainable school travel mode profiles among Hong Kong adolescents
    Barnett, Anthony
    Akram, Muhammad
    Sit, Cindy Hui-Ping
    Mellecker, Robin
    Carver, Alison
    Cerin, Ester
    [J]. INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY, 2019, 16 (1)
  • [9] Associations of socio-demographic, perceived environmental, social and psychological factors with active travel in Hong Kong adolescents: The iHealt(H) cross-sectional study
    Barnett, Anthony
    Sit, Cindy H. P.
    Mellecker, Robin R.
    Cerin, Ester
    [J]. JOURNAL OF TRANSPORT & HEALTH, 2019, 12 : 336 - 348
  • [10] Physical activity in childhood and bone health
    Boreham, Colin A. G.
    McKay, Heather A.
    [J]. BRITISH JOURNAL OF SPORTS MEDICINE, 2011, 45 (11) : 877 - 879