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超高密度地区的步行指数与感知步行便利性之间的关系。

The relationship between walk score® and perceived walkability in ultrahigh density areas.

作者信息

Koohsari Mohammad Javad, McCormack Gavin R, Shibata Ai, Ishii Kaori, Yasunaga Akitomo, Nakaya Tomoki, Oka Koichiro

机构信息

Faculty of Sport Sciences, Waseda University, Japan.

Behavioural Epidemiology Laboratory, Baker Heart and Diabetes Institute, Australia.

出版信息

Prev Med Rep. 2021 May 5;23:101393. doi: 10.1016/j.pmedr.2021.101393. eCollection 2021 Sep.

Abstract

Walk Score® is a free web-based tool that provides a walkability score for any given location. A limited number of North American studies have found associations between Walk Score® and perceived built environment attributes, yet it remains unknown whether similar associations exist in Asian countries. The study's objective is to examine the covariate-adjusted correlations between the Walk Score® metric and measures of the perceived built environment in ultrahigh density areas of Japan. Cross-sectional data were obtained from a randomly selected sample of adult residents living in two Japanese urban localities. There was a large correlation between Walk Score® and access to shops (0.58; p < 0.001). There were medium correlations between Walk Score® and population density (0.38; p < 0.001), access to public transport (0.34; p < 0.001), presence of sidewalks (0.41; p < 0.001), and access to recreational facilities (0.37; p < 0.001), and there was a small correlation between Walk Score® and presence of bike lanes (0.16; p < 0.001). There was a small negative correlation between Walk Score® and traffic safety (-0.13; p < 0.001). There was a medium correlation between Walk Score® and overall perceived walkability (0.48; p < 0.001). This study's findings highlight that Walk Score® was correlated with several perceived walkable environment attributes in the context of ultrahigh density areas in Asia.

摘要

步行指数(Walk Score®)是一种基于网络的免费工具,可为任何给定地点提供步行适宜性评分。北美有少数研究发现步行指数与人们感知到的建成环境属性之间存在关联,但在亚洲国家是否存在类似关联仍不明确。本研究的目的是检验在日本超高密度地区,步行指数指标与人们感知到的建成环境指标之间经协变量调整后的相关性。横断面数据取自随机抽取的居住在日本两个城市地区的成年居民样本。步行指数与商店可达性之间存在高度相关性(0.58;p < 0.001)。步行指数与人口密度(0.38;p < 0.001)、公共交通可达性(0.34;p < 0.001)、人行道的存在(0.41;p < 0.001)以及娱乐设施可达性(0.37;p < 0.001)之间存在中度相关性,步行指数与自行车道的存在之间存在低度相关性(0.16;p < 0.001)。步行指数与交通安全之间存在低度负相关性(-0.13;p < 0.001)。步行指数与整体感知到的步行适宜性之间存在中度相关性(0.48;p < 0.001)。本研究结果表明,在亚洲超高密度地区的背景下,步行指数与几种感知到的适宜步行环境属性相关。

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