FINE-SCALE URBAN MODELING AND ITS OPPORTUNITIES IN THE“BIG DATA” ERA: METHODS, DATA AND EMPIRICAL STUDIES
LONG Ying1,2, MAO Ming-rui1, MAO Qi-zhi3, SHEN Zhen-jiang4, ZHANG Yong-ping5,6
1. Beijing Institute of City planning, Beijing 100045, China;
2. Department of Architecture, University of Cambridge, Cambridge, UK;
3. School of Architecture, Tsinghua University, Beiing 100084, China;
4. College of Environment Design, Kanazawa University, Kanazawa, Japan;
5. Cardiff University, Cardiff, UK;
6. Radboud University Nijmegen, Nijmegen, The Netherlands
Abstract：Fine-scale simulation, in which the parcel is the basic spatial unit and urban activity body is the simulation object, is an important research direction for the urban modeling in the future, and the arrival of big data era also provides an important development opportunity for it. In the paper, the mainstream modeling methods for fine-scale urban modeling are introduced mainly, including cellular automata (CA), agentbased modeling(ABM) and traditional Microsimulation (MSM), all of which are microscopic simulation from the bottom up. Then, according with the high-standard data requirements for the fine-scale urban modeling, the paper sums up the internationally acceptable methods for the fine-scale simulation data synthesis (population synthesis), and also gives a number of practical cases about the fine-scale urban modeling in recent years. Finally, the paper puts forward the framework and key technology, based on GIS platform and combined with CA/ABM/MSM method, to construct fine- scale urban modeling, to support the development and assessment of spatial policy in the metropolitan area.
龙瀛, 茅明睿, 毛其智, 沈振江, 张永平. 大数据时代的精细化城市模拟:方法、数据和案例[J]. 人文地理, 2014, 29(3): 7-13.
LONG Ying, MAO Ming-rui, MAO Qi-zhi, SHEN Zhen-jiang, ZHANG Yong-ping. FINE-SCALE URBAN MODELING AND ITS OPPORTUNITIES IN THE“BIG DATA” ERA: METHODS, DATA AND EMPIRICAL STUDIES. HUMAN GEOGRAPHY, 2014, 29(3): 7-13.
