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Cited by 309

The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.

Characteristics of urban parks and their relation to user well-being

Ayala-Azcárraga, Cristina, Diaz, Daniel, Zambrano, Luis·2019·Landscape and Urban Planning

Abstract

Abstract Urban green spaces have been associated with the well-being of urban citizens. However, there is limited evidence documenting those characteristics that green spaces must have to provide real benefits. We evaluated perceived characteristics of green spaces and environmental components of urban parks as public urban green spaces, relating them to the well-being of their visitors. We surveyed users of nine parks in Mexico City looking for usage patterns and their effect on citizen well-being. Results show a close relationship between patterns of visitor use and urban parks components such as distance, tree abundance, safeness, playground qualities and cleanliness. Variables explaining the well-being provided by the park to the visitors are trustworthy neighbors, trustworthy visitors and share it with well-known people. This implies that the perception of the park affects their use and provides different attributes on the users' well-being. Therefore, to increase visitor well-being, it is important to enhance characteristics that favor social interaction. These results can be useful for strategies in urban parks management.

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Metadata

Authors
Ayala-Azcárraga, C., Diaz, D., & Zambrano, L.
Venue
Landscape and Urban Planning
Publisher
Elsevier BV
Published
2019-09
Volume
189
Pages
27-35
ISSN
0169-2046 (ISSN-L)
OpenAlex
W2941734447
Cited by
309
References
54
FWCI
10.01
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Characteristics of urban parks and their relation to user well-being. https://app.cochat.ai/papers/10.1016/j.landurbplan.2019.04.005
The paper
Ayala-Azcárraga, C., Diaz, D., & Zambrano, L. (2019). Characteristics of urban parks and their relation to user well-being. Landscape and Urban Planning. https://doi.org/10.1016/j.landurbplan.2019.04.005

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.