Abstract：The fourth-generation urban design paradigm, with tool changes at its core, has given rise to numerous digital urban design practices. This study builds a computational urban design technology system integrating data-informed, evidence-based and algorithm-driven techniques. Taking the Little Lujiazui Public Space Quality Enhancement Project in Shanghai for example, this study demonstrates the support of this system for the overall urban design processes at the micro and medium scales. First, the data-informed urban design analysis technology is helpful for problem identification and strategy formulation. Second, the evidence-based urban design helps to select the design intervention point and control the specific spatial elements. Third, algorithm-driven helps to predict the effectiveness of solutions and assist in their optimization. Finally, it takes Shanghai’s Little Lujiazui leisure and business district renewal project as an example to rehearse the whole process of this technical system. By comparing with traditional methods and predicting indicators, the application of computational urban design methods has been proven to expand the perspective of urban design from the previous “top-down” perspective to the “bottom-up” one, emphasized embodied perception, and transformed from the two-dimensional to three-dimensional and human-oriented scale.
叶宇，强丹，韩赟*. 计算性城市设计尝试 ——上海小陆家嘴公共空间品质提升计划[J]. 新建筑, 2022, 40(4): 94-99.
YE Yu,QIANG Dan,HAN Yun. Attempts on Computational Urban Design: Little Lujiazui Public Space Quality Improvement Plan in Shanghai. New Architecture, 2022, 40(4): 94-99.
版权所有 © 2017 新建筑杂志社