Environmental supports for walking/biking and traffic safety: Income and ethnicity disparities

Yu, Chia-Yuan

doi:10.1016/j.ypmed.2014.06.028

Cited by 56 publications

(42 citation statements)

References 29 publications

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“…Two adapted a walkability index developed by Frank et al, and another modified a walkability index created by Leslie et al One used the Walk Score (a publicly accessible walkability index which derives a score based on the number of facilities within walking distance from a particular location), and the remaining papers either constructed custom walkability indices from a number of variables or analysed features of walkability separately. These included walking path or sidewalk presence, length or surface area of walking paths, street connectivity, land‐use mix, residential density, road and intersection density …”

Section: Resultsmentioning

confidence: 99%

“…One analysis in a US study found a U‐shaped association for education, with walkability being greatest in areas with more residents who had low or high education levels. Two other studies had mixed findings within their analyses. A US study looking at the association between poverty rate and three walkability components (intersection density, land‐use mix, and sidewalk completeness) found a positive association for intersection density and land‐use mix, but no difference for sidewalk completeness.…”

Section: Resultsmentioning

confidence: 99%

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Variation in the physical activity environment according to area‐level socio‐economic position—A systematic review

et al. 2019

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Summary Physical inactivity is a major contributing factor to obesity, and both follow a socio‐economic gradient. This systematic review aims to identify whether the physical activity environment varies by socio‐economic position (SEP), which may contribute to socio‐economic patterning of physical activity behaviours, and in turn, obesity levels. Six databases were searched. Studies were included if they compared an objectively measured aspect of the physical activity environment between areas of differing SEP in a high‐income country. Two independent reviewers screened all papers. Results were classified according to the physical activity environment analysed: walkability/bikeability, green space, and recreational facilities. Fifty‐nine studies met the inclusion criteria. A greater number of positive compared with negative associations were found between SEP and green space, whereas there were marginally more negative than positive associations between SEP and walkability/bikeability and recreational facilities. A high number of mixed and null results were found across all categories. With a high number of mixed and null results, clear socio‐economic patterning in the presence of physical activity environments in high‐income countries was not evident in this systematic review. Heterogeneity across studies in the measures used for both SEP and physical activity environments may have contributed to this result.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Variation in the physical activity environment according to area‐level socio‐economic position—A systematic review

et al. 2019

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“…Improving transport safety Traffic safety, whose impacts have increasingly been concerned by people, exerts impacts on physical activity level (Gómez et al, 2010;Hoehner et al, 2005;Owen et al, 2004;Shigematsu et al, 2009). The density of road and transit stop, and mixed land uses increased the probability of occurrence of traffic accidents (Yu, 2014). On the other hand, improving road traffic conditions could reduce the chances of slowly moving older people in suffering from collisions that involve motor vehicles (Yee, Cameron, & Bailey, 2006), and thus significantly increased their physical activity levels (Strawbridge, 2002).…”

Section: Improving Personal Securitymentioning

confidence: 99%

A review on the effects of physical built environment attributes on enhancing walking and cycling activity levels within residential neighborhoods

Wang

Chau

et al. 2016

Cities

296

145

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“…There are various studies in the literature asserting that the density of road network, transit stop and mixed land-use developments increase the likelihood of traffic accidents [107]. Although crash rates increase with population densities, it can be argued that crash severity and casualty rates (injuries and deaths) are higher in dispersed areas due to higher speeds and slower emergency response [97].…”

Section: Cba Resultsmentioning

confidence: 99%

Developing and Assessing Alternative Land-Use Scenarios from the MOLAND Model: A Scenario-Based Impact Analysis Approach for the Evaluation of Rapid Rail Provisions and Urban Development in the Greater Dublin Region

et al. 2017

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Abstract:In this study, environmental sustainability implications of planned rail infrastructure investments on the urban form and development in the Greater Dublin Region (GDR) have been analysed incorporating the scenario analysis approach. Various scenarios are developed using the MOLAND Model applications including: A baseline scenario incorporating a continuation of the present dispersed pattern of urban development and an alternative scenario with rail-oriented corridor development, under varying conditions of economic growth. An alternative scenario was also developed for the recessionary development case considering the prolonged recession in the GDR. Further explorations incorporating a Cost-Benefit Analysis (CBA) approach are developed to evaluate the sustainability implications of different land development scenarios in the Dublin Region. This is assisted by focussing on the impacts of rail investments on urban form and development as raised in the international comparative literature. The findings from the CBA assessment positively indicate that containment policies-as represented by the public transport oriented development indicate benefits over the dispersed development case by reducing the negative consequences of sprawl type of developments. In contrast, dispersed development in the baseline scenario indicates costs of continuation of such development patterns exceed the benefits in the long term. This study will contribute to policy support evaluation measures relating to the integration of scenario analysis tool with the CBA approach in assisting the evaluation of new transport infrastructure proposals.

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Environmental supports for walking/biking and traffic safety: Income and ethnicity disparities

Cited by 56 publications

References 29 publications

Variation in the physical activity environment according to area‐level socio‐economic position—A systematic review

Variation in the physical activity environment according to area‐level socio‐economic position—A systematic review

A review on the effects of physical built environment attributes on enhancing walking and cycling activity levels within residential neighborhoods

Developing and Assessing Alternative Land-Use Scenarios from the MOLAND Model: A Scenario-Based Impact Analysis Approach for the Evaluation of Rapid Rail Provisions and Urban Development in the Greater Dublin Region

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