Ke Zhang, Hao Chen, Hong-Ning Dai, Hongbo Liu, Zhongrui Lin
IEEE Transactions on Industrial Informatics, vol. 18, no. 2, pp. 1424-1434, Feb. 2022
Publication year: 2022


The site selection of sports facilities is a pivotal link in the construction of city livable environment and the development of sports business in digital-twinning cities. Recent years have witnessed data mining and visualization technologies bringing the convenience as well as opportunities for intelligent site selection. However, the lack of effective and reliable systematic analysis leads to difficulties in developing sports facilities planning schemes and constructing the site-selection system. In this paper, we design SpoVis, an interactive visual analysis system for planning sports facilities as well as site selection. SpoVis provides users with the distribution status and statistical analysis of various sports facilities. Based on a comprehensive consideration of city population distribution, construction cost, existing sports facilities, traffic situation and development potential, SpoVis provides users with a reasonable site-selection scheme of sports facilities from both macro and micro perspectives and recommends results through topology and map. Meanwhile, based on the distribution of existing sports facilities and city influencing factors, a set of visual analysis components are designed to facilitate users to evaluate the status and information of existing sports facilities. We have carried out extensive experiments on a real platform with real-world data. The experimental results show that the proposed site-selection models and algorithms have excellent accuracy and operation efficiency.


  author={Zhang, Ke and Chen, Hao and Dai, Hong-Ning and Liu, Hongbo and Lin, Zhongrui},
  journal={IEEE Transactions on Industrial Informatics}, 
  title={SpoVis: Decision Support System for Site Selection of Sports Facilities in Digital Twinning Cities},