Participating in various activities can be a strategy for successful aging and aging in place. Neighborhood characteristics such as diversity of facilities, neighborhood retention rate, and residential mobility are all assumed to be positively related to participation in various activities. This study aims to discern the relationships between the aspects of the neighborhood environment and the number of activities in which an older person engaged or participation in multiple types of activities. Data from a questionnaire completed by residents of the Itabashi Ward, linked with census survey and facility data from a geographic information system, were used. Participants included adults aged 65–84 years. We conducted hierarchical clustering to define the types of activities based on the actual community participation of older adults. The similarity of community activities was estimated using Yule’s Y and phi coefficient. Analysis involved generalized linear mixed models to address the multilevel data. A high neighborhood retention rate was found to be positively related to both the number of activities respondents engaged in and participation in multiple types of activities. A high level of diversity of facilities was positively related only to the number of activities in which respondents participated. The data showed differences in the association between various neighborhood characteristics and the likelihood of participation in many activities and multiple types of activities. This finding suggests that policy makers in dense residential areas should consider prioritizing policies that improve neighborhood environments, as a means of promoting participation in various activities.

参加各种活动可以成为成功老龄化和适当老龄化的策略。设施的多样性，邻里保留率和居民流动性等邻里特征均假定与参与各种活动成正相关。这项研究旨在辨别邻里环境与老年人参与或参与多种类型活动的活动数量之间的关系。使用了板桥区居民填写的问卷中的数据，并与人口普查和地理信息系统中的设施数据相关联。参加者包括65-84岁的成年人。我们进行了分层聚类，以根据老年人的实际社区参与来定义活动的类型。使用Yule的Y和phi系数估计社区活动的相似性。分析涉及广义线性混合模型以处理多级数据。发现较高的邻里保留率与受访者参与的活动数量以及参与多种类型的活动均呈正相关。设施的高度多样性仅与受访者参加的活动数量成正比。数据显示了各种邻里特征之间的关联性差异以及参与许多活动和多种类型活动的可能性。这一发现表明，密集住宅区的决策者应考虑优先考虑改善邻里环境的政策，