Application of Big Data Visualization in Urban Planning

被引:1
作者
Cao, Xinhui [1 ]
Wang, Mei [1 ]
Liu, Xin [1 ]
机构
[1] Guilin Univ Technol, Coll Informat Sci & Engn, Guilin 541004, Peoples R China
来源
2019 5TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND MATERIAL APPLICATION | 2020年 / 440卷
基金
中国国家自然科学基金;
关键词
D O I
10.1088/1755-1315/440/4/042066
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
During the past ten years, with the process of urbanization accelerates, urban population has increased sharply. Traffic congestion, noise pollution, garbage treatment and other problems, which make the traditional urban planning methods difficult to shoulder this heavy responsibility. At the same time, intelligent city and the construction of informationize is also developing rapidly, the practice and research of big data in urban planning industry are widely used. Large scale data visualization is one of the most important steps in big data. Not only can the data be expressed in visible form to improve the efficiency of data analysis, but also human-computer interaction can be carried out. To overcome these problems, this paper studies the problem of urban planning based on large scale data visualization. Firstly, it extends the concept and model of big data visualization to the significance and framework of applying big data visualization to urban planning. Then through the case of visualization of traffic data and environmental sound data, we can see that both quality and efficiency have been significantly improved. Furthermore in order to stimulate future research in this field, we also highlight the major opportunities and challenges, as well as potential important research directions for urban planning.
引用
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页数:8
相关论文
共 26 条
[1]   Geovisualization of dynamics, movement and change: key issues and developing approaches in visualization research INTRODUCTION [J].
Andrienko, Gennady ;
Andrienko, Natalia ;
Dykes, Jason ;
Fabrikant, Sara Irina ;
Wachowicz, Monica .
INFORMATION VISUALIZATION, 2008, 7 (3-4) :173-180
[2]   A Survey of Traffic Data Visualization [J].
Chen, Wei ;
Guo, Fangzhou ;
Wang, Fei-Yue .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 16 (06) :2970-2984
[3]   Visual Exploration of Big Spatio-Temporal Urban Data: A Study of New York City Taxi Trips [J].
Ferreira, Nivan ;
Poco, Jorge ;
Vo, Huy T. ;
Freire, Juliana ;
Silva, Claudio T. .
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2013, 19 (12) :2149-2158
[4]  
GENG Rui-Zhen, 2011, ENV PROTECTION, P54
[5]  
GONG Rui, 2018, MASSIVE URBAN TRAFFI
[6]  
HU Xiao-hu, 2018, ENV PROTECTION, V46, P66
[7]  
Hua HAO Xin, 2015, BEIJING PLANNING CON, P28
[8]  
LE Xiao-Yan, 2015, STUDY NOISE CHARACTE
[9]  
Li J., 2016, Shanghai Urban Plan. Rev, V3, P30
[10]  
Li Yan, 2016, ADV COMPUTER SCI RES