Correlates of Walking for Transportation or Recreation Purposes

Lee, Chanam; Moudon, Anne Vernez

doi:10.1123/jpah.3.s1.s77

Cited by 271 publications

(233 citation statements)

References 31 publications

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“…Also, specific land use can instigate leisure travel [8], as well as generally influence it [14]. These findings result in H3.…”

supporting

confidence: 50%

“…Vegetation is preferred to dwellings for leisure travel as predicted in H4 and found previously [12]; however, land use ranks only equal third rather than first as expected [14]. This may be a reflection of the images used for this attribute, and discussions held after the experiment indicated that participants had considered other factors such as weather when selecting a route.…”

mentioning

confidence: 55%

“…Unfortunately, previous studies also do not show any significance in the order of the attributes given. What evidence there is suggests that vegetation and dwellings are less important than land use [14], and that vegetation is preferred to dwellings [12]. As points of interest are not mentioned in either of these studies, this attribute will be left unranked.…”

mentioning

confidence: 98%

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Effect of Simplicity and Attractiveness on Route Selection for Different Journey Types

Cook

Ruddle

2014

Spatial Cognition IX

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This study investigated the effects of six attributes, associated with simplicity or attractiveness, on route preference for three pedestrian journey types (everyday, leisure and tourist). Using stated choice preference experiments with computer generated scenes, participants were asked to choose one of a pair of routes showing either two levels of the same attribute (experiment 1) or different attributes (experiment 2). Contrary to predictions, vegetation was the most influential for both everyday and leisure journeys, and land use ranked much lower than expected in both cases. Turns ranked higher than decision points for everyday journeys as predicted, but the positions of both were lowered by initially unranked attributes. As anticipated, points of interest were most important for tourist trips, with the initially unranked attributes having less influence. This is the first time so many attributes have been compared directly, providing new information about the importance of the attributes for different journeys.

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“…Also, specific land use can instigate leisure travel [8], as well as generally influence it [14]. These findings result in H3.…”

supporting

confidence: 50%

mentioning

confidence: 55%

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Effect of Simplicity and Attractiveness on Route Selection for Different Journey Types

Cook

Ruddle

2014

Spatial Cognition IX

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“…Transport planning research has focused on mode choice, not on access to different modes, and there is a less well-established literature on how far pedestrians walk and the factors that influence their route choice (Agrawal et al 2008). There is increasing interest in the relationship between walking and health from public-health researchers, with studies on walking as a mode by Corpuz et al (2005), Lee andMoudon (2006), andMerom et al (2010), and on walk time to meet physical activity requirements (Besser and Dannenberg 2005). For walk as a mode in itself, there is some evidence that recreational walking trips, which include trips for exercise and fitness, are longer than for other purposes (Corpuz et al 2005;Iacono et al 2008), although Iacono et al (2008) noted that distance decay functions are similar across trip purposes.…”

Section: Influences On Walking Distancementioning

confidence: 99%

Explaining walking distance to public transport: The dominance of public transport supply

Daniels

Mulley

2013

JTLU

314

176

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Potential influences on explaining walking distance from home to access public transport are investigated, including trip and demographic characteristics and public transport supply. In Sydney, Australia, people walk farther to the train than to the bus, the distributions of walking distances are different for each mode, and the trip and demographic characteristics of train and bus users are different. Given the decision to walk to public transport, demographic characteristics such as age, gender, income, and labor force status and trip characteristics such as trip purpose, time of day and week, fare and ticket type, and trip duration are not significant in explaining walking distance to each mode of public transport. The mode of the public transport trip is the most important determinant of walking distance, reflecting the different supply and spacing of each mode. For instance, there are many more bus stops than train stations. The differences between train and bus users suggest that accessibility initiatives for public transport might not be the same for each mode.a rhonda

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“…[10][11][12] Generally, it is known to be associated with adults' transport-related physical activity, as higher residential density means more destinations such as shops, services, and public transport stops nearby. 13 With regard to the association between adolescents' recreational activity and residential density, mixed findings have been reported from a small number of studies. One such study conducted in the USA showed that an index of neighborhood walkability, which includes residential density, to be positively associated with moderate-to-vigorous physical activity in adolescents aged 14-17 years.…”

Section: Introductionmentioning

confidence: 99%

Associations of Residential Density with Adolescents’ Physical Activity in a Rapidly Urbanizing Area of Mainland China

Liang

et al. 2009

J Urban Health

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In the context of recent social and economic transitions in China, lack of physical activity among adolescents is an emerging health risk, particularly so in rapidly expanding urban areas. Evidence from Western countries suggests that built environment attributes can influence the physical activity participation of young people, but whether or not this is the case for China is unknown. We recruited high school students from ten urban districts in Nanjing, Mainland China (n=2,375; mean age=13.9± 1.0 years old; 46% boys; survey response rate=89%). The outcome variable was selfreported recreational physical activity time; the primary explanatory variable was the residential density of the urban districts. Analysis was conducted using mixed-effects logistic regression models. After adjustment for potential confounding variables, including sedentary behavior and green space, there was a consistent and graduated association between residential density and physical activity; residential density was significantly negatively associated with recreational physical activity time for students from the higher tertile of residential density (OR; 95% CI=0.64; 0.42 to 0.97) compared to those from the lower tertile. The direction and magnitude of the negative association between residential density and physical activity was similar for boys and girls. It should be a public health priority to identify the particular urban environment attributes that can encourage and support young people's participation in physical activity.

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Correlates of Walking for Transportation or Recreation Purposes

Abstract: Physical environment contributed significantly to explain the probability of walking. However, different attributes of environment were related to transportation versus recreation walking, suggesting the need for multiple and targeted interventions to effectively support walking.

Cited by 271 publications

References 31 publications

Effect of Simplicity and Attractiveness on Route Selection for Different Journey Types

Effect of Simplicity and Attractiveness on Route Selection for Different Journey Types

Explaining walking distance to public transport: The dominance of public transport supply

Associations of Residential Density with Adolescents’ Physical Activity in a Rapidly Urbanizing Area of Mainland China

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