Implications of school type for active commuting to school in primary education students

Corral-Abós, Ana; Solana, Alberto Aibar; Estrada-Tenorio, Sergio; Julián, José Antonio; Ibor, Eduardo; Zaragoza, Javier

doi:10.1016/j.tbs.2021.03.007

Cited by 11 publications

(5 citation statements)

References 55 publications

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“…Third, house prices show a negative effect on metro travel for primary and secondary school students. This corresponds to previous research findings that families living in areas with higher housing prices tend to be better financially equipped, have higher rates of private car ownership, and have more options for teenagers commuting to school [39,41]. Therefore, even though Wuhan has a preferential policy for all primary and secondary school students to take the subway, housing prices still have a negative impact on primary and secondary school students' subway travel.…”

Section: Discussionsupporting

confidence: 87%

“…The number of amenities within the station area is the most contributing independent variable for predicting the school commuting metro ridership with a relative contribution of 15.57%. Places with a higher density of amenities tend to be more centrally located and have a higher level of security and are, therefore, more conducive to promoting active school-commuting for primary and secondary school students [39,40]. The higher the number of intersections, the better the street connectivity, and the more conducive it is to rail transit travel [41][42][43].…”

Section: Relative Importance Of Independent Variablesmentioning

confidence: 99%

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The Non-Linear Influence of Built Environment on the School Commuting Metro Ridership: The Case in Wuhan, China

Yan

Wan

Feng

et al. 2023

IJGI

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Although many studies have investigated the non-linear relationship between the built environment and rail patronage, it remains unclear whether this influence is equally applicable to primary and secondary school students due to their physiological characteristics and cognitive limitations. This study applies the GBDT model to Wuhan student metro swipe data in order to investigate the relative importance and non-linear association of the built environment on the school-commuting metro ridership. The results show that the variable with the greatest predictive power is the number of living service facilities followed by the number of intersections, and the degree of land-use mixture. All of the built environment variables had non-linear associations with the school-commuting ridership, and the greatest attraction to the school-commuting metro ridership occurred when the number of living service facilities was 500, the number of intersections was 36, and the degree of land-use mixture was 0.8. These findings can help planners to prioritize land-use optimization and the effective range of land-use indicators when developing child-friendly rail transport policies.

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Section: Discussionsupporting

confidence: 87%

Section: Relative Importance Of Independent Variablesmentioning

confidence: 99%

The Non-Linear Influence of Built Environment on the School Commuting Metro Ridership: The Case in Wuhan, China

Yan

Wan

Feng

et al. 2023

IJGI

View full text Add to dashboard Cite

show abstract

“…A study conducted in ten cities in Spain regarding the mode of commuting to school used by preschool students showed similar results found in our study, where the main choice of commuting was "walking with my child" (with 48%), followed by commuting by car (41%) [31]. Another study assessed a percentage of 68% of the students of primary schools that used active commuting to school in Huesca (Spain) [32], which was higher than the value of 55% found in the present study (which accounts 2% for the use of bicycle).…”

Section: S1supporting

confidence: 86%

“…The transition from the basic and middle schools to the middle schools showed an upgrade in students going to school by walking (+16%), in contrast with the decrease in the use of cars (−19%) and a slight decrease in the use of bus (−3%). A possible factor for this variability can be less dependence of the students on their mobility, previously associated with the accompaniment of an adult, moving more independently [32]. Comparing the behaviour between students from middle schools and from middle and high schools, a 9% increase in car use was observed.…”

Section: S1mentioning

confidence: 96%

Mobility Patterns of Scholar Communities in Southwestern European Countries

et al. 2022

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The present study aimed to provide an in-depth assessment of the commuting patterns of scholar communities of southwestern European countries and to identify measures to improve their sustainable performance regarding mobility. The adopted methodology characterised the mobility pattern of students as a sustainability indicator and the availability of related infrastructures and local public transport network. Data were gathered by qualitative (behavioural questionnaires) and quantitative (technical audits) approaches, based on measurable indicators (key performance indicators and scores (ranging between 0–5)). Overall, French schools showed the best sustainable performance regarding mobility (2.0) and Gibraltar had the lowest (1.2). The existence of bike parking and electric car charging points were the main weaknesses founds (with their related mean scores being 0.6 and 0.2, respectively). The score associated with annual CO2 emissions due to students’ mobility had the best performance, where all countries managed to obtain an average of 3.1. The global score, which assessed the sustainable performance of scholar communities regarding mobility, had a mean value of 1.5 for all studied countries, which highlights the potential for improvement of the studied schools, mainly targeting the public transport network optimisation and the enhancement of scholar infrastructures concerning bicycle parking and electric cars.

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“…A better understanding of temporal trends in ACS among adolescents is important since it can provide valuable input to help guide environmental approaches and policy decisions. These actions will ultimately have an impact on health via increases in physical activity but also by producing sustainable healthy cities (e.g., reducing the use of motorized modes of transport, contributing to reductions in the emission of greenhouse gases, leading to lower air pollution) [ 19 ]. In addition, the largest health risk of climate change is projected to occur in LMICs [ 20 ], and the creation of sustainable cities are a key contributor for combating such a planet crisis.…”

Section: Introductionmentioning

confidence: 99%

Active school commuting in adolescents from 28 countries across Africa, the Americas, and Asia: a temporal trends study

Félez-Nóbrega

Werneck

Bauman

et al. 2023

Int J Behav Nutr Phys Act

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Background Evidence examining trends in active school commuting among adolescents are mainly single-country studies, and principally focused on high-income countries. Thus, the present study aims to examine temporal trends in adolescents’ active school commuting and to examine if there are differences in such trends by sex. We used nationally representative samples of 28 countries, which were predominantly low- and middle-income countries (LMICs), covering 5 different WHO regions. Methods Data from the Global School-based Student Health Survey 2004–2017 were analyzed in 177,616 adolescents [mean (SD) age: 13.7 (1.0) years; 50.7% girls]. Active school commuting was self-reported (frequency of walking or riding a bike to and from school in the past 7 days). The prevalence and 95%CI of active school commuting (i.e., ≥ 3 days/week) was calculated for the overall sample and by sex for each survey. Crude linear trends in active school commuting were assessed by linear regression models. Interaction analyses were conducted to examine differing trends among boys and girls. Results Trends in active school commuting were heterogeneous across countries, with results showing stable patterns for the majority (16/28), decreasing trends for some (7/28) and increasing trends over time for a few (5/28). The majority of countries showed no differences in active school commuting trends between girls and boys. Conclusions The quantification of changes in adolescents’ active school commuting over time, together with a deeper understanding of local determinants for such behaviors will provide valuable evidence to inform the development of tailored and context-specific actions.

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Implications of school type for active commuting to school in primary education students

Cited by 11 publications

References 55 publications

The Non-Linear Influence of Built Environment on the School Commuting Metro Ridership: The Case in Wuhan, China

The Non-Linear Influence of Built Environment on the School Commuting Metro Ridership: The Case in Wuhan, China

Mobility Patterns of Scholar Communities in Southwestern European Countries

Active school commuting in adolescents from 28 countries across Africa, the Americas, and Asia: a temporal trends study

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