Evaluating the accessibility of urban parks and waterfronts through online map services: A case study of Shaoxing, China
Urban Forestry & Urban Greening, ISSN: 1618-8667, Vol: 77, Page: 127731
2022
- 25Citations
- 51Captures
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Article Description
Regular access to natural environment has many physical and mental health benefits for urban residents. This study was to evaluate the accessibility of urban parks and waterfronts in a Chinese canal city at the household level. Shaoxing, a typical canal town in the Yangtze River Delta region of China, was selected as the case study because of its abundant but underused natural resources. The study had measured the shortest travel routes from individual households to parks and waterfronts using data from the online map service and intensive fieldwork. The results showed that only 22% of Shaoxing residents live within a 500 m walking distance to parks, but scenario analysis showed if the canals were well used, almost all the residents would have access to natural environment within 15 min’ walk. Thus, the route-based accessibility evaluation method developed in this research offers a fine-grained understanding of household inequality in access to natural environments. It not only provides specific recommendations for planning intervention to improve the accessibility of natural resources in Shaoxing, but also contributes to the advancement of accessibility measures for planning practice. This route-based measure makes it possible to combine other accessibility measures of the travel routes such as sidewalk qualities in future research. The simplicity of this method means that it can be used to evaluate accessibility to other public facilities at the household level to develop walkable neighborhoods in cities.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S1618866722002746; http://dx.doi.org/10.1016/j.ufug.2022.127731; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85138507132&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S1618866722002746; https://dx.doi.org/10.1016/j.ufug.2022.127731
Elsevier BV
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