TY - JOUR
T1 - SpoVis
T2 - Decision Support System for Site Selection of Sports Facilities in Digital Twinning Cities
AU - Zhang, Ke
AU - Chen, Hao
AU - Dai, Hong Ning
AU - Liu, Hongbo
AU - Lin, Zhongrui
N1 - Funding 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.
Publisher Copyright:
© 2021 IEEE.
PY - 2022/2
Y1 - 2022/2
N2 - 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.
AB - 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.
KW - Data analysis
KW - digital twinning city
KW - sport facility site selection
KW - visual analysis
UR - http://www.scopus.com/inward/record.url?scp=85112227532&partnerID=8YFLogxK
U2 - 10.1109/TII.2021.3089330
DO - 10.1109/TII.2021.3089330
M3 - Journal article
SN - 1551-3203
VL - 18
SP - 1424
EP - 1434
JO - IEEE Transactions on Industrial Informatics
JF - IEEE Transactions on Industrial Informatics
IS - 2
ER -