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 article, we design Sport facility Visual analysis system (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 microperspectives 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.
Bibliographical noteFunding Information:
This work was supported in part by the Joint Key Research and Development Project between Sichuan and Chongqing under Grant cstc2020jscx-cylhX0004 and in part by Macao Science and Technology Development Fund under Macao Funding Scheme for Key R&D Projects under Grant 0025/2019/AKP.
© 2021 IEEE.
- Analytical models
- Data Analysis
- Data models
- Data visualization
- Digital Twinning City
- Sport facility Site Selection
- Urban areas
- Visual Analysis