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Open AccessArticle

Neighborhood Walkability and Active Transportation: A Correlation Study in Leisure and Shopping Purposes

1
Department of Urban Planning, Keimyung University, 1095 Dalgubeol-daero, Dalseo-gu, Daegu 42601, Korea
2
Department of Civil and Environmental Engineering, Seoul National University, Gwanak-ro 1, Gwanak-gu, Seoul 08826, Korea
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(7), 2178; https://doi.org/10.3390/ijerph17072178
Received: 28 February 2020 / Revised: 24 March 2020 / Accepted: 24 March 2020 / Published: 25 March 2020
(This article belongs to the Special Issue Active Commuting and Active Transportation)
A walkable environment is a crucial factor for promoting active transportation. The purpose of this study is to examine the association between neighborhood walkability and active transportation for noncommuting purposes (leisure and shopping) in Seoul, Korea. The Walkability Score is used as a measure of walkability, and a multilevel logistic regression model is employed to measure the odds of active transportation (i.e., walking and cycling; nonmotorized trips) at two levels: individual (level 1) and neighborhood (level 2). The results of the study showed that the Walkability Score was significantly correlated with higher odds of active transportation in shopping models. Specifically, every one-point increase in the Walkability Score was associated with 1.5%–1.8% higher odds of active transportation in shopping models. However, there was no significant correlation between the two in leisure models. Meanwhile, individual characteristics associated with the odds of active transportation differed in the leisure and shopping models. Older age was positively correlated with the odds of active transportation in the leisure model, while females showed a positive correlation in the shopping model. Based on the study, urban and transportation planners can recommend urban policies to promote active transportation in an urban setting.
Keywords: active transportation; walking; cycling; leisure trip; shopping trip; Walk Score; Walkability Score; multilevel logistic regression model; Seoul active transportation; walking; cycling; leisure trip; shopping trip; Walk Score; Walkability Score; multilevel logistic regression model; Seoul
MDPI and ACS Style

Kim, E.J.; Kim, J.; Kim, H. Neighborhood Walkability and Active Transportation: A Correlation Study in Leisure and Shopping Purposes. Int. J. Environ. Res. Public Health 2020, 17, 2178.

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