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An Observational Study of Park Attributes and Physical Activity in Neighborhood Parks of Shanghai, China.


ABSTRACT: Evidence shows that neighborhood parks provide opportunities for urban residents to participate in physical activity, but little is known about the space-behavior relationship of physical settings. This study explored the patterns of use in neighborhood parks, and focused particularly on visitors' levels of activity supported by the specific landscape features and attributes. Behavior mapping data, including the users' characteristics, their behaviors and activity levels, and the landscape characteristics, were obtained in three neighborhood parks of Shanghai, China. A total of 6126 park users were documented during the observations, and most of them were involved in sedentary activity. This study found that different environmental settings such as water, plaza, lawn, and architecture supported different types and levels of activity. Although more men than women visited the neighborhood parks, women were more active than men in park-based physical activity. In this Chinese sample, the findings demonstrate behavior mapping is a promising tool to measure park-based physical activity. As this study associated the levels of use with the landscape features, the results are expected to be useful in design practice for promoting regular physical activity.

SUBMITTER: Wang X 

PROVIDER: S-EPMC7143081 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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An Observational Study of Park Attributes and Physical Activity in Neighborhood Parks of Shanghai, China.

Wang Xinxin X   Wu Chengzhao C  

International journal of environmental research and public health 20200320 6


Evidence shows that neighborhood parks provide opportunities for urban residents to participate in physical activity, but little is known about the space-behavior relationship of physical settings. This study explored the patterns of use in neighborhood parks, and focused particularly on visitors' levels of activity supported by the specific landscape features and attributes. Behavior mapping data, including the users' characteristics, their behaviors and activity levels, and the landscape chara  ...[more]

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