Promoting active transportation modes in school trips

Ermagun, Alireza; Samimi, Amir

doi:10.1016/j.tranpol.2014.10.013

Cited by 77 publications

(34 citation statements)

References 49 publications

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“…Also, public transit has been considered an active mode of transportation for older adults, which has clear potentials for social-and health-related benefits for this population (Coroni-Cronberg, Millett, Laverty, & Webb, 2012;Green, Jones, & Roberts, 2014). In a recent study, Ermagun and Samimi (2015) have recommended that transit trips to school made by children and youths be perceived as partially active because they include walking trips to transit stations and stops. However, many researchers still differentiate public transit as a passive mode of transportation despite the report that it may promote increased participation in physical activity through walking (McDonald, 2007;Pabayo, Gauvin, & Barnett, 2011;Reynolds, Winters, Ries, & Gouge, 2010;Yang et al, 2014).…”

Section: Chapter 5: Discussionmentioning

confidence: 99%

University Students' Perceptions of the Relationship Between Bus Pass Ownership and Physical Activity Levels

Irwin

2016

Journal of Transport & Health

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The purpose of this study was to assess the relationship between university students': (a) perceptions of having a discounted bus pass and transit-related physical activity; (b) perceptions of having a discounted bus pass and weekly physical activity levels; and (c) transit-related physical activity and weekly physical activity levels. A sample of 545 undergraduate students completed an online survey. The analysis of three correlations and three t-tests illustrated significant relationships between students' perceptions of the discounted bus pass and their transit-related physical activity, and males' and females' weekly physical activity levels. Three major themes emerged from the open-ended responses, which included the discounted bus pass:(a) is a facilitator of physical activity; (b) is a barrier to physical activity; and (c) does not influence physical activity levels. Therefore, the results suggest that university students who are provided with discounted bus passes may have increased physical activity during their commutes by transit.

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Section: Chapter 5: Discussionmentioning

confidence: 99%

University Students' Perceptions of the Relationship Between Bus Pass Ownership and Physical Activity Levels

Irwin

2016

Journal of Transport & Health

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“…Factors from many aspects were found to have impacts on students' commute mode choices. Some well-acknowledged ones include student-level and household level demographic and socioeconomic characteristics, built-environment variables, residential neighborhood characteristics [9], travel time and distance [10]. There are extensive studies that have investigated the relationships between those factors and students' commute mode decisions.…”

Section: Introductionmentioning

confidence: 99%

Exploring Behavioral Heterogeneities of Elementary School Students’ Commute Mode Choices Through the Urban Travel Big Data of Beijing, China

Xiong

Wei

et al. 2019

IEEE Access

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Students' commute mode choices have been recognized as an important factor affecting the physical and psychological health levels of children and urban traffic performance in peak hours. The influential patterns between most of the factors and students' commute mode vary depending on the characteristics of the city. This paper seeks to reveal such patterns specifically for elementary schools students in Beijing, China, as those students' commute behaviors have attracted considerable attention from society. The data from the Beijing School Commute Survey conducted in December 2014 and January 2015 were adopted. To account for the unobserved heterogeneity, a finite mixture multinomial logit (FMMNL) model was developed. Compared with the conventional MNL model, the FMMNL is superior due to the smaller AIC and BIC values. More importantly, the FMMNL model is flexible and able to detect some complicated mode choice behaviors. For example, the results of the FMMNL model indicate that there are two types of students, those who tend to use a car and those who tend to use a bicycle, as their grade increases. Such a heterogeneous pattern is difficult to be detected by conventional models. The finer results produced by the FMMNL model would be the references for policymakers to design more targeted policies. Findings in this paper could be the references to other cities in China and the world. INDEX TERMS Big data, elementary school commute, finite mixture model, transportation policy.

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“…School children's reliance on cars is not only harmful to their daily travel behaviors towards sustainability but also aggravates traffic congestion on urban roads [1][2][3][4]; therefore, governments in many developed and developing countries have committed to encouraging school children to go to school using active modes of travel including walking and bicycling [5][6][7][8]. However, active modes are most suitable for short-distance travel.…”

Section: Introductionmentioning

confidence: 99%

The Influence of the Built Environment on School Children’s Metro Ridership: An Exploration Using Geographically Weighted Poisson Regression Models

Liu

Shi

et al. 2018

Sustainability

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Long-distance school commuting is a key aspect of students' choice of car travel. For cities lacking school buses, the metro and car are the main travel modes used by students who have a long travel distance between home and school. Therefore, encouraging students to commute using the metro can effectively reduce household car use caused by long-distance commuting to school. This paper explores metro ridership at the station level for trips to school and return trips to home in Nanjing, China by using smart card data. In particular, a global Poisson regression model and geographically weighted Poisson regression (GWPR) models were used to examine the effects of the built environment on students' metro ridership. The results indicate that the GWPR models provide superior performance for both trips to school and return trips to home. Spatial variations exist in the relationship between the built environment and students' metro ridership across metro stations. Built environments around metro stations, including commercial-oriented land use; the density of roads, parking lots, and bus stations; the number of docks at bikeshare stations; and the shortest distance between bike stations and metro stations have different impacts on students' metro ridership. The results have important implications for proposing relevant policies to guide students who are being driven to school to travel by metro instead.

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Promoting active transportation modes in school trips

Cited by 77 publications

References 49 publications

University Students' Perceptions of the Relationship Between Bus Pass Ownership and Physical Activity Levels

University Students' Perceptions of the Relationship Between Bus Pass Ownership and Physical Activity Levels

Exploring Behavioral Heterogeneities of Elementary School Students’ Commute Mode Choices Through the Urban Travel Big Data of Beijing, China

The Influence of the Built Environment on School Children’s Metro Ridership: An Exploration Using Geographically Weighted Poisson Regression Models

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