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出 处:《城市建筑》2017年第15期29-32,共4页Urbanism and Architecture
摘 要:我国城市化发展已经步入重要的转型时期,传统经验主义的判断方法难以适应日益复杂的城市问题,更难以应对每天发生的海量城市信息,而蓬勃发展的大数据分析以其新颖独到的研究视角、全面动态的研究维度、精细深刻的研究深度,为城市设计转型发展带来契机。同时,我们应客观、理性地认知大数据分析目前存在的优势与问题,并认识到城市设计专业知识仍起到决定性作用。我们应树立城市问题导向下的数据分析思维,将数据分析新优势与传统理论方法结合,在多元协同基础上充分利用大数据。下一代的城市设计,将会是基于定性与定量相结合的科学诊断,从粗放式走向精细化,从静态控制走向动态支持。The urbanization of china has entered an important transition able to solve the increasingly complex urban problems, and cannot deal w period. The traditional empiricist method of urban design is not th the massive urban information which happened every day. The vigorous development of big data analysis offers an important opportunity for the transformation of urban design with its novel and unique research perspective, the comprehensive and dynamic research dimension and profound depth of study. However, the advantages and problems of large data analysis should be understood objectively and rationally, and decisive role of the urban design expertise should be realized. The thinking of data analysis should be established under the guidance of the problems of the city, combining the new advantages of data analysis with the traditional theoretical methods and making full use of the big data on the basis of multiple cooperation. The next generation of urban design will be more meticulous and dynamic support than rough and static control based on the qualitative and quantitative combination of scientific measures.
分 类 号:TU984[建筑科学—城市规划与设计]
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