Active transport to or from school presents an opportunity for adolescents to engage in daily physical activity. Multiple factors influence whether adolescents actively travel to/from school. Creating safe walking and cycling routes to school is a promising strategy to increase rates of active transport. This article presents a comprehensive conceptual framework for modelling safe walking and cycling routes to high schools. The framework has been developed based on several existing relevant frameworks including (a) ecological models, (b) the “Five Es” (engineering, education, enforcement, encouragement, and evaluation) framework of transport planning, and (c) a travel mode choice framework for school travel. The framework identifies built environment features (land use mix, pedestrian/cycling infrastructure, neighbourhood aesthetics, and accessibility to local facilities) and traffic safety factors (traffic volume and speed, safe road crossings, and quality of path surface) to be considered when modelling safe walking/cycling routes to high schools. Future research should test this framework using real-world data in different geographical settings and with a combination of tools for the assessment of both macro-scale and micro-scale built environment features. To be effective, the modelling and creation of safe routes to high schools should be complemented by other interventions, including education, enforcement, and encouragement in order to minimise safety concerns and promote active transport.

The school neighbourhood built environment (BE) can facilitate active transport to school (ATS) in adolescents. Most previous studies examining ATS were conducted in large urban centres and focused on BE of home neighbourhoods. This study examined correlations between school-level ATS rates among adolescents, objectively measured school neighbourhood BE features, and adolescents’ perceptions of the school route across different urbanisation settings. Adolescents (n = 1260; 15.2 ± 1.4 years; 43.6% male) were recruited from 23 high schools located in large, medium, and small urban areas, and rural settings in Otago, New Zealand. Adolescents completed an online survey. School neighbourhood BE features were analysed using Geographic Information Systems. School neighbourhood intersection density, residential density and walkability index were higher in large urban areas compared to other urbanisation settings. School-level ATS rates (mean 38.1%; range: 27.8%–43.9%) were negatively correlated with school neighbourhood intersection density (r = −0.58), residential density (r = −0.60), and walkability index (r = −0.64; all p < 0.01). School-level ATS rates were also negatively associated with adolescents’ perceived safety concerns for walking (r = −0.76) and cycling (r = −0.78) to school, high traffic volume (r = −0.82), and presence of dangerous intersections (r = −0.75; all p < 0.01). Future initiatives to encourage ATS should focus on school neighbourhood BE features and minimise adolescents’ traffic safety related concerns.

Smart mobility and transit-oriented development (TOD) are closely intertwined with smart urban living in developing a smart city. A number of initiatives were taken through smart mobility or TOD projects to ensure smart urban living over time. However, there is a lack of consistent approach to combining smart mobility and TOD for smart urban living. The connection between TOD and smart mobility performance indicators remains unexplored for smart urban living. Therefore, the study aim was to develop a conceptual framework for eco-friendly smart urban living with the integration of TOD and smart mobility performance indicators. A compendious literature search was conducted to identify the smart mobility and TOD performance indicators. A Delphi questionnaire was also used to rank the indicators by experts. The eco-friendly smart urban living framework was developed with the integration of smart mobility and TOD performance indicators. This study found eight TOD performance indicators, namely utilization of transit nodes, user-friendliness of a transit system, parking at the station, walkability and cyclability, land-use diversity, access and accessibility, density, and economic development, that needed to be considered to design a city for smart living. Six smart mobility indicators, namely, location efficiency, reliable mobility, health and safety, environmental stewardship, social equity, and robust economy, were also identified and included in the smart urban living framework due to their importance to ensure smart living environments. Future research should test this framework using local data in different geographical settings.

Excessive school bag weight may be a modifiable barrier to active transport to school. This study examined correlates of school bag weight and adolescents’ perceptions of excessive school bag weight for walking and cycling to school among New Zealand adolescents living in diverse settlement types. Adolescents (n = 1512; 15.0 ± 1.3 years) completed a questionnaire and had their bag weight (n = 1190) and body weight (n = 1038) measured. Adolescents using active transport and rural adolescents had lighter school bags compared to their counterparts. One-third of adolescents reported excessive school bag weight for walking (31.2%) and cycling (37.2%) to school. Positive correlates of relative school bag weight were female gender (regression coefficient (95% CI): 0.53 (0.13, 0.93)), and underweight (2.21 (1.39, 3.02)), whereas negative correlates were Māori ethnicity (−0.87 (−1.41, −0.32)), overweight (−1.84 (−2.35, −1.34)) and obesity (−3.57 (−4.26, −2.87)), and school location in small urban areas (−2.10 (−4.19, −0.01)), and rural settlements (−3.58 (−5.66, −1.49)). Older adolescents, females, those with greater relative school bag weight, and those experiencing school bag-related pain symptoms and/or fatigue were more likely to report excessive school bag weight for both walking and cycling to school. Future initiatives should target reducing excessive school bag weight, particularly in female and urban adolescents.