sustainability Article Towards Sustainable Urban Communities: A Composite Spatial Accessibility Assessment for Residential Suitability Based on Network Big Data 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;
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[email protected] (H.Y.); Tel.: +86-592-619-0651 (T.L.) Received: 22 October 2018; Accepted: 10 December 2018; Published: 13 December 2018 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.