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

Junyan Yang, H. Schultz, Yi Zheng, Jun-shan Cao
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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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关于大数据下城市设计教学应用范式的思考
在中国城市转型的关键阶段,城市设计的精细化和合理化已经成为重构和发展的重要趋势。与此同时,大数据技术发展迅速,各类高精度数据的可用性逐渐增加。大数据与城市设计的结合在转型期的城市设计中发挥着重要的作用。本文介绍了大数据平台下的城市教育系统设计。传统的教学模式包括四个阶段(研究、课题、设计、表达),将大数据技术分为四个方面来考虑如何将大数据应用到城市设计的教学中。具体概括为:大数据“加速”研究、大数据“二次”分析、大数据“增强”设计和大数据“优化”表达。本研究的目的是让传统的教学体系与大数据的前沿技术相互碰撞融合,既可以丰富现有的教育体系,又可以建立完整的技术结构。在此基础上,可以帮助学生建立和完善施工,并学习新技术的能力,促进城市设计技术的进步。
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