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56th ISOCARP World Planning Congress, Virtual Congress
56th ISOCARP World Planning Congress, Virtual Congress
Login
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Home
Introduction
Words of Welcome
ISOCARP President
ISOCARP Secretary General
General Rapporteur
UEF Chair
Congress Team
COVID-19
Sponsorship
Sponsors
Programme
Tracks
Track 1
Track 2
Track 3
Track 4
Track 5
Track 6
Track 7
Special Track
Detailed programme
Virtual Events
Speakers
Brochure
Proceedings
Congress Recap
Virtual Presentation
Presentation Guidelines
Submit your Pre-recorded Video
Prerecorded Presentations
Prerecordings - track 1
Prerecordings - track 2
Prerecordings - track 3
Prerecordings - Special Track
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Jan DAY 2
Feb DAY 1
Feb DAY 2
Feb DAY 3
Submission
Submit your paper
Submit an Abstract
Guidelines
More
Papers
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Tickets
About ISOCARP
ISOCARP Website
Join ISOCARP
ISOCARP Review - Volume 16
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Zoom-presenters
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Congress website
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56th ISOCARP World Planning Congress, Virtual Congress
Login
Study on the Comprehensive Computational Thinking Transformation of Urban Planning Discipline in the Era of Big Data
This abstract has open access
Abstract
In the ear of big data, with the development of computer technology, especially the universal popularization of mobile terminal devices and the gradual construction of the internet of things system, the urban physical environment and social environment have been fully digitized and measured, the computational thinking has gradually become the new mode of human to cognitive and governance the urban complex system, the computational urban planning science will become the main development aspect of modern urban planning discipline. The computational thinking is the thinking mode of the computer science using the mathematical algorithms, which provides a practical scientific method for urban planning and management for urban planning discipline, such as index system construction, data collection, data storage, data analysis, mode recognition, dynamic governance, etc.. At present, in face of the historical opportunities with the development of computer science, many research institutions around the world have been carrying out large-scale researches on big data and urban planning, smart cities, and digital twins city. At the same time, some famous universities have successively launched related undergraduate and graduate degree projects, such as MIT, School of Architecture and Planning and School of Engineering jointly established interdisciplinary undergraduate program combining urban planning and computer science on June 5, 2018. September 2020, UCL, the Bartlett Center for Advanced Spatial will begin to recruit MSc connected Environments. It can be seen that whether it is in the field of urban planning research or urban planning education even urban planning practice, the combination with the computer science has become the era demand and historical development trend for the urban planning discipline. Based on this, this paper takes the computational thinking mode of urban planning disciplines in the era of big data as the research object, takes the scientific construction of the computational urban planning science as the research purpose, adopts literature research method and interdisciplinary research method, comprehensively studying the connotation of computer science computational thinking mode, to systematically discusses the theory and method of index system construction, data collection, data storage, data analysis, pattern recognition of urban planning discipline, in order to promote the popularization of the computational thinking model in urban planning discipline, and the establishment of the computational urban planning science, to respond the era demand of the development of urban planning disciplines in the era of big data.
Abstract ID :
ISO141
Submission Type
Research Paper
Submission Track
7: Shaping Liveable Places
Full paper :
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Associated Sessions
Track 7 | Session 2. Improving Spatial Liveability: Tools And Practices
Author
Co-Authors
Dr HAIXUAN ZHU
Lecturer
,
Harbin Institute of Technology (HIT)
XJ
Xiaoyu Jia
Harbin Institute of Technology
PQ
Pengluo Que
China
,
Harbin Institute of Technology (HIT)
SL
Sai Liu
LAY-OUT Planning Consultants Co., Ltd
XH
Xiaoyu Hou
Harbin Institute of Technology (HIT)
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