城市群空间交互情景分析与多尺度协同模拟

项目名称： 城市群空间交互情景分析与多尺度协同模拟

项目编号： No.41471339

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 天文学、地球科学

项目作者： 俞艳

作者单位： 武汉理工大学

项目金额： 80万元

中文摘要： 针对传统以单一城市为研究对象，以城市的场所空间区位理论及其邻域交互为出发点的城市扩张模拟，面临向以城市群为研究对象、以城市网络空间交互和联合增长为核心的协同模拟转变的重大需求，研究城市群时空增长动力机制、空间网络交互测度与情境分析、城市群联动增长模拟等基础理论和关键技术，建立城市群空间扩张多尺度驱动机制，提出基于泛在、众源数据挖掘的城市群网络空间交互测度方法和基于数据场的情景分析模型，构建城市群空间格局演变的多尺度协同模拟模型，实现城市群联动增长的协同模拟。基于此研发城市群空间增长多尺度协同模拟实验系统，选取武汉1+8城市圈为例，分别开展武汉市都市区（武汉市的1主城区+6远郊区）和武汉1+8城市圈两个不同一体化程度的城市群空间扩张实例研究，以揭示城市群内城市空间交互对城市扩张格局的影响，为合理规划和引导城市群建设发展提供决策依据。

中文关键词： 城市群；协同模拟模型；数据场；数据挖掘；多尺度驱动机制

英文摘要： The simulation of Urban expantion is a hotspot, which has been studied extensively by different researchers. Many simulation models have been constructed and applied in urban planning and management. However, these theories and methodologies can't be used to model the processes of urban agglomeration expansion directly. Three key issues should be solved here: the multi-scale dynamic mechanism of urban agglomeration expansion, the metric of spatial interaction among the network of cities in urban agglomeration and the collaborative simulation model. In this study, we want to propose a unified framework focused on these three issues. Firstly, we design a three-layer system to explain the dynamic mechanism of urban agglomeration. At micro level, neighborhood interaction is adopted as the core driven force. The accessibility, suitability, neighbor and policies are considered as the driven factors. At meso level, the internal driven forces of single urban growth, such as GDP, population, resource, traffic network are considered. At macro level, the spatial interaction is used to explain the external driven force. Secondly, an approach of measuring spatial interaction among cities is studied. The spatial data mining technologies are introduced to measure the intensity of urban essential factors flows.Thirdly, a collaborative simulation model is created with two integration: the integration of driving factor dynamic simulation with urban expansion simulation; the integration of different cities expansion simulation considering their spatial interaction. In the last section, an experimental software system will be developed. Using this software as a tool,1 plus 8 Wuhan urban agglomeration is taken as an example to test the validation of the proposed models and methodologies.

英文关键词： urban agglomeration;collabrative simulation model;data field;spatial data mining;multi-scale driven mechanism