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Considerations of the Paradigms of Urban Design Teaching Application about Big Data

Published: 29 December 2018 Publication History

Abstract

The refinement and rationalization of urban design has become an important trend of restructuring and development during the crucial stage of China's urban transformation. At the same time, big data technology is developing rapidly, with the availability of various types of high-precision data being gradually increased. The combination of big data and urban design plays an important role in the urban design of transition period. This paper describes the design of urban education system under the big data platform. With the traditional teaching model, which include four stage (research, topic, design and expression), big data technologies are divided into four aspects to consider how to apply the big data to the teaching of urban design. Specifically summarized: big data "accelerate" researching, big data "secondary" analysis, big data "enhanced" design and big data of "optimization" expression. The aim of this research is to let the traditional teaching system and cutting-edge technology of large data collide with each other fusion, which can not only enrich the existing education system, but also establish a complete technical structure. On this basis, it can help students establish and improve the construction, and the ability to learn new technologies, to promote the progress of urban design techniques.

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  • (2024)Application and Prospect of Artificial Intelligence Technology in Low-Carbon Cities—From the Perspective of Urban Planning Content and ProcessLand10.3390/land1311183413:11(1834)Online publication date: 4-Nov-2024

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    cover image ACM Other conferences
    ISBDAI '18: Proceedings of the International Symposium on Big Data and Artificial Intelligence
    December 2018
    365 pages
    ISBN:9781450365703
    DOI:10.1145/3305275
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • International Engineering and Technology Institute, Hong Kong: International Engineering and Technology Institute, Hong Kong

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 29 December 2018

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    Author Tags

    1. Big data
    2. application Paradigm
    3. teaching system
    4. urban design

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    • Short-paper
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    • Refereed limited

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    ISBDAI '18

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    ISBDAI '18 Paper Acceptance Rate 70 of 340 submissions, 21%;
    Overall Acceptance Rate 70 of 340 submissions, 21%

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    • (2024)Application and Prospect of Artificial Intelligence Technology in Low-Carbon Cities—From the Perspective of Urban Planning Content and ProcessLand10.3390/land1311183413:11(1834)Online publication date: 4-Nov-2024

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