Minimal dataset for:Impact of COVID-19 on Walking Practices: Policy Insights for Promoting Urban Health and Physical Activity Resilience

This dataset contains anonymized individual- and community-level data used to analyze changes in walking practice among adults (≥19 years) living in Busan, South Korea, before (2018–2019) and after (2020–2021) the COVID-19 pandemic. Individual-level variables were derived from the Korea Community Health Survey (CHS) and include socio-demographic characteristics, health behaviors, health status, and subjective perceptions of the neighborhood environment. Community-level variables were constructed by linking administrative and open-government data on urban parks, pedestrian paths, public and private sports facilities, and social network difficulty at the district level. The binary outcome variable indicates whether respondents met the CHS definition of “walking practice” (≥30 minutes of walking per day on ≥5 days in the past week). All direct personal identifiers have been removed, and districts are coded with anonymized identifiers.

本数据集包含经匿名化处理的个体与社区层面数据，用于分析韩国釜山地区19岁及以上成年人在新冠疫情前（2018-2019年）与疫情后（2020-2021年）的步行行为变化。个体层面变量源自韩国社区健康调查（Korea Community Health Survey, CHS），涵盖社会人口学特征、健康行为、健康状况以及对邻里环境的主观感知。社区层面变量通过关联行政区政务数据与政务公开数据构建，数据包含城市公园、步行道、公共与私人体育设施，以及区级层面的社交网络困难情况。二分类结果变量用于表征受访者是否符合CHS定义的"步行行为标准"，即过去一周内每日步行时长不少于30分钟且每周步行天数不少于5天。所有直接个人身份标识均已移除，行政区均采用匿名编码进行标识。