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Author:

Yu, Q. (Yu, Q..) | Shang, W.-L. (Shang, W.-L..) | Chen, J. (Chen, J..) | Zhang, H. (Zhang, H..)

Indexed by:

Scopus

Abstract:

Digital twin technology is a fast-growing research topic, but it is still in its infancy. The organic combination of urban digital twin and web-based visualization of Spatio-temporal big data is one of the important directions for future smart city decision-making, planning, and management. This chapter introduces the potential of web-based visualization technology for enhancing the visualization of massive Spatio-temporal data. The advantages, key technologies, and common tools of web-based visualization, as well as the common form of visualization for different data. This chapter also presents an example of a web-based digital twin project called 3D UrbanMOB, including its feature, design concepts, and development details. This field is becoming increasingly important as researchers become more conscious of the necessity to use urban digital twins for monitoring, modeling, and assessment of urban events in the development of next-generation smart cities. © 2023 Elsevier Inc. All rights reserved.

Keyword:

Web-based visualization Data visualization Spatio-temporal big data Digital twin

Author Community:

  • [ 1 ] [Yu Q.]Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, Guangdong, Shenzhen, China
  • [ 2 ] [Shang W.-L.]Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
  • [ 3 ] [Chen J.]Center for Spatial Information Science, The University of Tokyo, Chiba, Kashiwa-shi, Japan
  • [ 4 ] [Zhang H.]School of Urban Planning and Design, Peking University, Shenzhen, China

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Source :

Year: 2023

Volume: 1

Page: 185-201

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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