Escorting Children to School: Statistical Analysis and Applied Modeling Approach

Vovsha, Peter; Petersen, Eric

doi:10.3141/1921-15

Cited by 51 publications

(58 citation statements)

References 9 publications

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“…If a household does not own or have access to a working vehicle, it may not be possible to drive the child to school. Vehicle ownership was found to be related to travel mode in one study (Vovsha and Petersen 2005), but Schlossberg et al (2006) found no relationship. The number of vehicles per licensed driver variable used a ratio based on the responses from the parent survey.…”

Section: Individual and Social Characteristicsmentioning

confidence: 93%

School travel route measurement and built environment effects in models of children’s school travel behavior

Larsen

Buliung

Faulkner

2015

JTLU

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Abstract:The most common form of physical activity for people of all ages is walking, thus the use of active travel modes, such as walking or cycling for school trips, can increase daily physical activity levels. School travel is one way to encourage walking and cycling on a daily basis. Much of the recent literature reports inconsistent results pertaining to how the built environment may relate to active school travel. To date, there is no consistent approach toward conceptualizing the "environment" for its measurement, and this may be partially to blame for the inconsistent results. The purpose of this paper is twofold: to examine how characteristics of the built environment might relate to mode of school travel, while testing how measurement of the environment may influence the results in terms of the shortest path or respondent reported route mapping. The results indicate that model parameter estimates vary when using these two route measurement methods. Differences in the conceptualization and measurement of the school travel environment could carry forward into misguided planning or policy interventions targeting environmental features that may actually have no influence on school travel decisions.

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Section: Individual and Social Characteristicsmentioning

confidence: 93%

School travel route measurement and built environment effects in models of children’s school travel behavior

Larsen

Buliung

Faulkner

2015

JTLU

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“…Households' life-cycle stages and children's attributes, such as the presence of children in households and the age of the youngest child, influence parents' activity-travel patterns significantly (McDonald, 2005;McDonald, 2006;Sun, Waygood, Fukui, & Kitamura, 2009;Tillberg Mattsson, 2002;Waygood, 2011). Multiple studies indicate that children at different ages impose different constraints on joint travel patterns as children's ages increase, the burden of adult chauffeuring and supervision decreases (Ho & Mulley, 2015;Vovsha et al, 2003;Vovsha & Petersen, 2005).…”

Section: Joint Travelmentioning

confidence: 99%

Using trip chaining and joint travel as mediating variables to explore the relationships among travel behavior, socio-demographics and urban form

Chen

Akar

2017

JTLU

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Using the 2012 Household Travel Survey data for the Cleveland metropolitan area, this study aims to examine the connections between travel behavior by using trip chaining and joint travel as mediating variables of travel distances and controlling for sociodemographics and urban form. Trip chaining and joint travel capture the complexity of tours and intra-household interactions, respectively. Socio-demographics represent personal and household characteristics. Urban form, which is measured not only at tour origins but also at tour destinations, helps capture the effects of residential density, retail and non-retail densities, transportation connectivity, public transit accessibility, and land-use mix. Structural equation model (SEM) approaches are applied to examine the interrelationships among these variables. The model results reveal that significant effects with expected signs exist among travel behavior: Trip chaining is negatively associated with joint travel and positively related to travel distances, and joint travel has negative effects on travel distances. Consistent with existing literature, socio-demographic attributes are strong explanatory factors of travel behavior. Urban form characteristics have significant influence on travel distances at both tour origins and destinations. The findings of this study will improve the future evaluation of transportation projects and land-use policymaking.

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“…private vehicles, school buses, public transports) and the effect of household characteristics such as factors of income and number of private motor vehicles ownership into children's travel mode (DiGuiseppi et al, 1998;Vovsha and Petersen, 2005). However, only a few studies that examine more deeply about the characteristics of each household member.…”

Section: Literature Reviewmentioning

confidence: 99%

Promoting Active Transport in Students’ Travel Behavior: A Case from Yogyakarta (Indonesia)

Irawan¹,

Sumi²

2011

JSD

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School active commute has decreased in the last few decades. This occurrence resulted not only in increasing congestion and pollution, but also in decreasing children's physical health. This study aims to understand students' travel behavior on school commute by finding the factors influencing travel mode choice. A multinomial logit model was used to explain the students' travel behavior in Yogyakarta, a city which is dominated by motorcyclists. A number of 878 students were selected classifying into children (6-12 years old) and adolescents (13-18 years old). Empirical results showed that distance from home to school is the critical factor in determining active commute. However, factors of age, gender, and characteristics of students' household also play an important role in shaping students' travel behavior. Finally, to revive active commute, several appropriate policies such as bike to school program or synchronization of work and school start/end time were proposed in this study.

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Escorting Children to School: Statistical Analysis and Applied Modeling Approach

Cited by 51 publications

References 9 publications

School travel route measurement and built environment effects in models of children’s school travel behavior

School travel route measurement and built environment effects in models of children’s school travel behavior

Using trip chaining and joint travel as mediating variables to explore the relationships among travel behavior, socio-demographics and urban form

Promoting Active Transport in Students’ Travel Behavior: A Case from Yogyakarta (Indonesia)

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