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Open AccessArticle

Towards Sustainable Urban Communities: A Composite Spatial Accessibility Assessment for Residential Suitability Based on Network Big Data

by Yu Zhao 1,2, Guoqin Zhang 1, Tao Lin 1,*, Xiaofang Liu 1,2,3, Jiakun Liu 1,2, Meixia Lin 1,2, Hong Ye 1,* and Lingjie Kong 3
1
Key Laboratory of Urban Environment and Health, the Institute of the Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
School of Architecture, Huaqiao University, Xiamen 361021, China
*
Authors to whom correspondence should be addressed.
Sustainability 2018, 10(12), 4767; https://doi.org/10.3390/su10124767
Received: 22 October 2018 / Revised: 8 December 2018 / Accepted: 10 December 2018 / Published: 13 December 2018
(This article belongs to the Special Issue Big Data Research for Social Sciences and Social Impact)
Suitable allocation of residential public services is vital to realizing sustainable communities and cities. By combining network big data and spatial analysis, we developed a composite spatial accessibility assessment method for residential suitability of urban public services covering healthcare, leisure, commerce, transportation, and education services. Xiamen City, China is the test site. We found that although most facilities were concentrated on Xiamen Island, there were shortages in the per capita transportation and education service supplements compared with the average performance of Xiamen City because of the high local population. Meanwhile, Tong’an had advantages in the amount of public facilities due to its long history of regional development. However, high-quality facilities were deficient there as well as in other off-island districts. The residential communities surrounding transportation, commerce, and healthcare facilities had a similar allocation pattern in Xiamen City, whereas the residential accessibility of education and leisure services showed regional differences. Due to unbalanced regional development, evident inequality could be witnessed by comparing the composite assessment results of residential suitability between the communities on Xiamen Island and those in the off-island Areas. Our study hopes to provide dedicated support for designing sustainable communities and cities, especially for those in developing countries. View Full-Text
Keywords: big data research; point of interests (POI); sustainability development; spatial accessibility of residential public services; Xiamen City big data research; point of interests (POI); sustainability development; spatial accessibility of residential public services; Xiamen City
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Zhao, Y.; Zhang, G.; Lin, T.; Liu, X.; Liu, J.; Lin, M.; Ye, H.; Kong, L. Towards Sustainable Urban Communities: A Composite Spatial Accessibility Assessment for Residential Suitability Based on Network Big Data. Sustainability 2018, 10, 4767.

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