项目名称: 城市“建成环境——空间行为”的多尺度影响关系与机理研究
项目编号: No.41771169
项目类型: 面上项目
立项/批准年度: 2018
项目学科: 天文学、地球科学
项目作者: 龚咏喜
作者单位: 哈尔滨工业大学
项目金额: 20万元
中文摘要: 城市建成环境对空间行为的影响一直是城市地理和城市规划等领域的研究热点,然而学界在建成环境对空间行为的影响关系方面争论较大,其中一个重要原因就是不区分空间尺度、没有从“建成环境——空间行为”多尺度影响关系入手进行分析。项目以“不同类型空间行为发生的尺度不同,影响不同类型空间行为的建成环境要素及其尺度也不同”作为基本出发点,以深圳为例,识别不同类型行为的空间尺度及分布格局,构建分析的要素指标并对建成环境各要素影响空间行为的尺度适用性进行评估,基于尺度对应和尺度失配分析它们之间的多尺度影响关系,并基于生活圈理论分析多尺度影响关系的机理。通过本研究,可以在理论上建立城市“建成环境—空间行为”研究的多尺度分析基础,更好地理解建成环境影响空间行为的空间机制,从实践上有针对性的提出多尺度规划策略,为改善城市出行条件提供决策依据。
中文关键词: 建成环境;空间行为;多尺度;生活圈;空间自相关
英文摘要: The impact of built environment on spatial behavior in urban space is an everlasting hotspot in the field of urban geography and urban planning. However, there are many controversies in the influencing relationship and one of the most important reasons is that existing studies don’t analyze the impact from multiple spatial scales. The foundation of our study is that different types of spatial behaviors are on the different spatial scales, and the influencing factors and spatial scale of built environment are different. Taking Shenzhen as case study, we first identify the spatial scales of different types of spatial behaviors and analyze the spatial distribution of scales, then construct the factors and indicators and evaluate the scale applicability of built environment in the influencing system. We also analyze the multi-scale relation using scale match/mismatch and analyze the mechanism of the impact from the life circle theory, and finally put the planning strategy of spatial behavior from built environment on different spatial scale. Through the research, we can establish the concept of scale and theory foundation of multi-scale analysis of urban built environment-spatial behavior, understand the process and spatial mechanism of built environment impact on spatial behavior. We can also put forward the response multi-scale urban planning strategy and support the decision-making to improve the environment for spatial behavior.
英文关键词: built environment;spatial behavior;multi-scale;life circle;spatial autocorrelation