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

Yu Zhao, Guoqin Zhang, Tao Lin, Xiaofang Liu, Jiakun Liu, Meixia Lin, Hong Ye and Lingjie Kong
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Yu Zhao: Key Laboratory of Urban Environment and Health, the Institute of the Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Guoqin Zhang: Key Laboratory of Urban Environment and Health, the Institute of the Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Tao Lin: Key Laboratory of Urban Environment and Health, the Institute of the Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Xiaofang Liu: Key Laboratory of Urban Environment and Health, the Institute of the Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Jiakun Liu: Key Laboratory of Urban Environment and Health, the Institute of the Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Meixia Lin: Key Laboratory of Urban Environment and Health, the Institute of the Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Hong Ye: Key Laboratory of Urban Environment and Health, the Institute of the Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Lingjie Kong: School of Architecture, Huaqiao University, Xiamen 361021, China

Sustainability, 2018, vol. 10, issue 12, 1-18

Abstract: 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.

Keywords: big data research; point of interests (POI); sustainability development; spatial accessibility of residential public services; Xiamen City (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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