Centers for Behavioral and Preventive Medicine, The Miriam Hospital, Warren Alpert Medical School of Brown University, Providence, RI 02903, USA.
Br J Sports Med. 2011 Nov;45(14):1144-8. doi: 10.1136/bjsm.2009.069609. Epub 2010 Apr 23.
Proximity to walkable destinations or amenities is thought to influence physical activity behaviour. Previous efforts attempting to calculate neighbourhood walkability have relied on self-report or time-intensive and costly measures. Walk Score is a novel and publicly available website that estimates neighbourhood walkability based on proximity to 13 amenity categories (eg, grocery stores, coffee shops, restaurants, bars, movie theatres, schools, parks, libraries, book stores, fitness centres, drug stores, hardware stores, clothing/music stores).
The purpose of this study is to test the validity and reliability of Walk Score for estimating access to objectively measured walkable amenities.
Walk Scores of 379 residential/non-residential addresses in Rhode Island were manually calculated. Geographic information systems (GIS) was used to objectively measure 4194 walkable amenities in the 13 Walk Score categories. GIS data were aggregated from publicly available data sources. Sums of amenities within each category were matched to address data, and Pearson correlations were calculated between the category sums and address Walk Scores.
Significant correlations were identified between Walk Score and all categories of aggregated walkable destinations within a 1-mile buffer of the 379 residential and non-residential addresses. Test-retest reliability correlation coefficients for a subsample of 100 addresses were 1.0.
These results support Walk Score as a reliable and valid measure of estimating access to walkable amenities. Walk Score may be a convenient and inexpensive option for researchers interested in exploring the relationship between access to walkable amenities and health behaviours such as physical activity.
人们认为靠近可步行的目的地或便利设施会影响身体活动行为。以前尝试计算邻里步行性的努力依赖于自我报告或耗时且昂贵的措施。Walk Score 是一个新颖的、公开的网站,它根据接近 13 个便利设施类别(例如杂货店、咖啡店、餐馆、酒吧、电影院、学校、公园、图书馆、书店、健身中心、药店、五金店、服装/音乐商店)来估计邻里步行性。
本研究的目的是测试 Walk Score 估计可步行便利设施的客观测量的有效性和可靠性。
手动计算了罗德岛 379 个住宅/非住宅地址的 Walk Score。地理信息系统(GIS)用于客观测量 13 个 Walk Score 类别中的 4194 个可步行便利设施。GIS 数据来自公开数据源聚合。每个类别中的便利设施总和与地址数据匹配,并计算地址 Walk Score 与类别总和之间的 Pearson 相关系数。
在 379 个住宅和非住宅地址的 1 英里缓冲区范围内,Walk Score 与所有类别的可步行目的地之间存在显著相关性。100 个地址的子样本的测试-再测试可靠性相关系数为 1.0。
这些结果支持 Walk Score 作为估计可步行便利设施的可靠和有效的衡量标准。Walk Score 可能是对探索可步行便利设施与健康行为(如身体活动)之间关系的研究人员的一个方便且廉价的选择。