Perspective | 观点

Under the background of the Fourth Industrial Revolution, emerging technologies have a profound impact on urban life and urban space. As a result, urban planning in the new era will also face transformation. Under the framework of Data Augmented Design, this paper proposes the process and three characteristics of smart urban planning. Meanwhile, this paper emphases five key destinations for urban planning and design in the coming 14th Five-Year Plan. Firstly, increase the research and layout of ICT infrastructure, and strengthen the construction of urban perception system. Secondly, understand the change of the needs and behavior of citizens in the new era, and promote the in-depth study of environmental behavior. Thirdly, study the impact of emerging technologies on urban space, and explore the future transformation of urban space. Fourthly, promote the application of Data Augmented Design in traditional planning, and search for innovative perspective and methods for future planning and design. Lastly, pay more attention to the human-scale research and design, and construct more human-centered public space.

Case studies | 案例

Forum | 专题会场

Special Issue in Urban and Rural Planning Studies | 城市与区域规划研究

Microsimulation for Spatial Plan | 面向空间规划的微观模拟

Urban Growth Boundaries | 城市增长边界

We have conducted extensive studies on establishing urban growth boundaries (UGBs) and evaluate UGBs using both conventional and new data supported by quantitative methods like constrained cellular automata. Please refer to the Urban Growth Boundaries channel for more information (https://www.beijingcitylab.com/projects-1/2-urban-growth-boundaries/). 

Planning Support Systems | 规划支持系统

Please see our project Planning Support Systems (https://www.beijingcitylab.com/projects-1/5-planning-support-systems/)

Applied Urban Modeling| 应用城市模型

Please see our project BUDEM (https://www.beijingcitylab.com/projects-1/1-budem/)

We also have online course (https://www.beijingcitylab.com/courses/applied-urban-modeling/) and offline course () in the Courses channel (https://www.beijingcitylab.com/courses/aium2018/). 

Big Data Analytics | 大数据分析

We believe that big data and new data are having great opportunities for supporting spatial plans. We have a lot of projects on the direction and courses (online MOOC and offline). We also have published a national level textbook on big data and urban planning.