Trends and determinants of active school travel among Australian secondary school students: national cross‐sectional data from 2009 to 2018

Abstract

Objective: To examine active school travel trends and predictors among Australian secondary school students (aged 12-17) between 2009 and 2018.Methods: Three cross-sectional surveys (2009-10: N=13,790; 2012-13: N=10,309; and 2018: N=9,102) using a web-based self-report questionnaire. Logistic regression was used to identify differences in active travel (to and/or from school every weekday) between survey years and predictors.Results: From 2009-10 to 2012-13 to 2018, active travel decreased from 33.6% to 32.3% to 29.5% among females, and from 37.4% to 36.6% to 32.6% among males. Distance, female sex and regional location were associated with a lower likelihood of active travel. Students with pocket money, those who spoke a language other than English at home, and Aboriginal and/or Torres Strait Islander students were more likely to actively travel. Conclusions:Between 2009-10 and 2018, active school travel among secondary students in Australia declined. Several factors were found to be associated with active travel.Implications for public health: This is the first national study on active travel trends among secondary students in Australia. The recent decline requires action given the increasing prevalence of overweight and climate change.

Active travel infrastructure design and implementation: Insights from behavioral science

“…Although young people are typically more likely to cycle than older adults, cycling rates among children and adolescents have been declining for decades (Adepoyibi et al, 2022;Schmassmann et al, 2023). Reviews of active travel among youth suggest that increasing rates of car ownership partly explains this trend (e.g., Pont et al, 2009).…”

Peningkatan Penggunaan Moda Non-Motorized Transport dengan Stated Preference pada Pelajar Sekolah Menengah Negeri Jakarta Pusat

“…Pada penelitian ini menggunakan variabelvariabel diantaranya adalah usia, Jenis kelamin, jejang sekolah, pekerjaan orang tua pelajar, pendidikan terakhir orang tua, ukuran keluarga responden, kepemilikan kendaraan pribadi bermotor, kepemilikan SIM (Ermagun & Levinson, 2017), kepemilikan sepeda pribadi (Nevelsteen et al, 2012), uang jajan responden, jarak perjalanan rumah ke sekolah (Adepoyibi et al, 2022), waktu tempuh perjalanan sekolah dan biaya perjalanan sekolah (Dave et al, 2013), dan varibel berdasarkan stated choice diantaranya adalah fasilitas sepeda gratis bagi pelajar (Budiman et al, 2020), RASS atau Rute Aman Selamat Sekolah (Sambada, 2021) dan penerapan sistem zonasi sekolah (Lestari & Dewanti, 2021). Pengolahan data primer dengan menggunakan statistik deskriptif dan Multinomial Logit (MNL) dengan 4 (empat) moda yaitu: Jalan kaki dan Sepeda dikelompokkan menjadi Non-Motorized Transport (NMT), Bus Sekolah (BS), Angkutan Umum (AU) dan Kendaraan Pribadi (KP) motor dan mobil pribadi baik mengendarai sendiri maupun diantar.…”