Saito Yoshinobu, Oguma Yuko, Inoue Shigeru, Breugelmans Raoul, Kikuchi Hiroyuki, Oka Koichiro, Okada Shinpei, Takeda Noriko, Cain Kelli L, Sallis James F
Faculty of Sport Management, Nippon Sport Science University, Yokohama, Kanagawa, Japan.
Sports Medicine Research Center, Keio University, Yokohama, Kanagawa, Japan.
Prev Med Rep. 2022 Nov 7;30:102043. doi: 10.1016/j.pmedr.2022.102043. eCollection 2022 Dec.
This study aimed to evaluate the inter-rater reliability of streetscape audits among online observations using the Microscale Audit of Pedestrian Streetscapes-Global version (MAPS-Global) in Japan. MAPS-Global observations were conducted on routes with distances ranging from 400 to 725 m from a residence toward a non-residential destination. Google Street View audits were independently conducted by two trained raters on each route. A tiered scoring system was applied to summarize the items at multiple levels of aggregation. Positive and negative valence scores were created based on the expected association with physical activity. Inter-rater reliability analyses were performed using kappa statistics or intraclass correlation coefficients (ICC). Of the 32 older adults participating in an intervention study in the community-wide physical activity promotion project in Fujisawa City, 19 addresses were used, excluding those with nearby addresses. Results demonstrated "excellent" agreement for most of the summary scores analyzed (kappa or ICC values of 0.75 or higher [80.4 %]), while 6.5 % of items exhibited "good" agreement (ICC = 0.60-0.74). By contrast, only 13.0 % of the scales had ICC values lower than 0.60 ("fair" or "poor" reliability). The results illustrated high reliability for the grand summary scores and composite subscale measures. However, caution should be exercised when interpreting subscale scores for less frequently observed negative attributes and aesthetic/social characteristics. The results presented in this study support the application of online observations using MAPS-Global in urban areas of Japan, which could be implemented to inform decisions related not only to physical activity but also to traffic safety.
本研究旨在使用日本版的《微型步行街景观全球审计量表》（MAPS - Global）评估在线观测中街道景观审计的评分者间信度。MAPS - Global观测在从住所到非居住目的地距离为400至725米的路线上进行。谷歌街景审计由两名经过培训的评分者在每条路线上独立进行。采用分层评分系统在多个汇总层面总结各项内容。基于与身体活动的预期关联创建了正性和负性效价分数。使用kappa统计量或组内相关系数（ICC）进行评分者间信度分析。在藤泽市社区范围身体活动促进项目的干预研究中参与的32名老年人中，使用了19个住址，排除了附近有其他住址的情况。结果表明，所分析的大多数汇总分数具有“优秀”的一致性（kappa或ICC值为0.75或更高[80.4%]），而6.5%的项目表现出“良好”的一致性（ICC = 0.60 - 0.74）。相比之下，只有13.0%的量表ICC值低于0.60（“中等”或“较差”信度）。结果表明总体汇总分数和综合子量表测量具有较高的信度。然而，在解释较少观察到的负面属性以及美学/社会特征的子量表分数时应谨慎。本研究呈现的结果支持在日本城市地区应用使用MAPS - Global进行的在线观测，这不仅可用于为与身体活动相关的决策提供信息，还可用于交通安全相关决策。
