How to accurately identify the underserved areas of peri-urban parks? An integrated accessibility indicator

Due to the shortage of green space in urban built environments, access to peri-urban parks in the suburbs has been a focus of planning practices to meet increasing resident demands for recreational visits to natural settings. However, accurate approaches to evaluating peri-urban park accessibility a...

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Autores principales: Jinguang Zhang, Yingyi Cheng, Bing Zhao
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/5b61537e21dd40c59d109a6a9cc0fe99
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spelling oai:doaj.org-article:5b61537e21dd40c59d109a6a9cc0fe992021-12-01T04:40:57ZHow to accurately identify the underserved areas of peri-urban parks? An integrated accessibility indicator1470-160X10.1016/j.ecolind.2020.107263https://doaj.org/article/5b61537e21dd40c59d109a6a9cc0fe992021-03-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20312024https://doaj.org/toc/1470-160XDue to the shortage of green space in urban built environments, access to peri-urban parks in the suburbs has been a focus of planning practices to meet increasing resident demands for recreational visits to natural settings. However, accurate approaches to evaluating peri-urban park accessibility and monitoring underserved areas are lacking. In this study, we propose an integrated accessibility index for peri-urban parks that is calculated using an improved Huff-2SFCA (two-step floating catchment area) model that considers the tradeoffs between quality, park size, and travel time. We first propose a peri-urban park quality index and then integrate it into an accessibility assessment. Furthermore, we employ a variable catchment to ensure that the larger and high-quality parks correspond to higher travel time thresholds. To demonstrate the practicality of the integrated index, Nanjing, a rapidly urbanizing Chinese city, was selected as a case study. The results demonstrate that (1) the quality of peri-urban parks is unevenly distributed, with high-quality parks primarily being distributed in western urban suburbs and occupying a total area of approximately 5665 ha; (2) approximately 92% of communities can enjoy peri-urban park services, while high-quality parks are more accessible to residents living in urban centers; and (3) 220 residential communities are identified as underserved areas, and 142 communities are identified as potentially underserved areas due to long travel times and the poor quality or small sizes of accessible parks. The integrated accessibility index can be employed to accurately monitor (potentially) underserved areas and assist decision-makers in formulating effective policies and strategies for improving residential access to peri-urban landscapes.Jinguang ZhangYingyi ChengBing ZhaoElsevierarticleUrbanizationUrban peripheryNature-based attractionsPark qualityVariable catchmentHuff-2SFCA modelEcologyQH540-549.5ENEcological Indicators, Vol 122, Iss , Pp 107263- (2021)
institution DOAJ
collection DOAJ
language EN
topic Urbanization
Urban periphery
Nature-based attractions
Park quality
Variable catchment
Huff-2SFCA model
Ecology
QH540-549.5
spellingShingle Urbanization
Urban periphery
Nature-based attractions
Park quality
Variable catchment
Huff-2SFCA model
Ecology
QH540-549.5
Jinguang Zhang
Yingyi Cheng
Bing Zhao
How to accurately identify the underserved areas of peri-urban parks? An integrated accessibility indicator
description Due to the shortage of green space in urban built environments, access to peri-urban parks in the suburbs has been a focus of planning practices to meet increasing resident demands for recreational visits to natural settings. However, accurate approaches to evaluating peri-urban park accessibility and monitoring underserved areas are lacking. In this study, we propose an integrated accessibility index for peri-urban parks that is calculated using an improved Huff-2SFCA (two-step floating catchment area) model that considers the tradeoffs between quality, park size, and travel time. We first propose a peri-urban park quality index and then integrate it into an accessibility assessment. Furthermore, we employ a variable catchment to ensure that the larger and high-quality parks correspond to higher travel time thresholds. To demonstrate the practicality of the integrated index, Nanjing, a rapidly urbanizing Chinese city, was selected as a case study. The results demonstrate that (1) the quality of peri-urban parks is unevenly distributed, with high-quality parks primarily being distributed in western urban suburbs and occupying a total area of approximately 5665 ha; (2) approximately 92% of communities can enjoy peri-urban park services, while high-quality parks are more accessible to residents living in urban centers; and (3) 220 residential communities are identified as underserved areas, and 142 communities are identified as potentially underserved areas due to long travel times and the poor quality or small sizes of accessible parks. The integrated accessibility index can be employed to accurately monitor (potentially) underserved areas and assist decision-makers in formulating effective policies and strategies for improving residential access to peri-urban landscapes.
format article
author Jinguang Zhang
Yingyi Cheng
Bing Zhao
author_facet Jinguang Zhang
Yingyi Cheng
Bing Zhao
author_sort Jinguang Zhang
title How to accurately identify the underserved areas of peri-urban parks? An integrated accessibility indicator
title_short How to accurately identify the underserved areas of peri-urban parks? An integrated accessibility indicator
title_full How to accurately identify the underserved areas of peri-urban parks? An integrated accessibility indicator
title_fullStr How to accurately identify the underserved areas of peri-urban parks? An integrated accessibility indicator
title_full_unstemmed How to accurately identify the underserved areas of peri-urban parks? An integrated accessibility indicator
title_sort how to accurately identify the underserved areas of peri-urban parks? an integrated accessibility indicator
publisher Elsevier
publishDate 2021
url https://doaj.org/article/5b61537e21dd40c59d109a6a9cc0fe99
work_keys_str_mv AT jinguangzhang howtoaccuratelyidentifytheunderservedareasofperiurbanparksanintegratedaccessibilityindicator
AT yingyicheng howtoaccuratelyidentifytheunderservedareasofperiurbanparksanintegratedaccessibilityindicator
AT bingzhao howtoaccuratelyidentifytheunderservedareasofperiurbanparksanintegratedaccessibilityindicator
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