项目名称: 基于密度分布的城市公共开放空间可达性定量分析研究——以深圳为例
项目编号: No.51478268
项目类型: 面上项目
立项/批准年度: 2015
项目学科: 建筑科学
项目作者: 杨晓春
作者单位: 深圳大学
项目金额: 78万元
中文摘要: 公共开放空间是人与自然、人与人之间进行互动的重要场所,公共开放空间的服务水平逐渐成为代表城市可持续发展的重要评价要素,而可达性是表征公共开放空间的公共性和服务水平的重要指标。伴随着中国沿海城市发展的高密度化趋势,城市人口分布的不均衡性日趋明显,并与城市空间密度分布高度相关,基于机会累计的可达性评价方法建立在综合考虑人口密度空间分布的基础上,其分析结果可以精准地反映公共开放空间的拥挤度以及可接近水平,从而取代目前公共开放空间规划普遍采用的人均面积和步行可达范围覆盖率双重评价指标。本研究试图以深圳市为例,探讨基于城市密度分布的公共开放空间可达性定量分析方法,为公共开放空间系统规划建立一个客观简练的评价手段和规划目标的预测方法;进而在综合分析的基础上,提出城市公共开放空间系统的适应性规划对策,以引导城市公共开放空间规划、管理和建设的可持续推进。
中文关键词: 公共开放空间;可达性;定量分析;城市人口密度
英文摘要: Public open space(POS) is an important place for interaction between human and nature,human and human.And its service level has become an important evaluation factors for urban sustainable development.Also,accessibility is an important indicator for the publicity and service level of public open space.With the high-density development trend of Chinese coastal cities, the imbalance of population distribution has become more evident,which is highly correlated with the distribution of urban space density. The assessment method of accessibility based on the cumulative opportunity,is established on the basis of considering the spatial distribution of population density.Simultaneously,the result can accurately reflect the crowding and the approachability of public open space, thereby replacing the two current widely used evaluation for public open space planning--capita scope and coverage area within walking distance.This study taken Shenzhen as example,attempts to explore the quantitative analysis for public open space accessibility based on the distribution of urban density,and establish a concise and objective evaluation means and predict method to planning objective for public open space planing. Furthermore,On the basis of comprehensive analysis for accessibility of public open space,the research puts forward strategies to adaptive planning of urban public open space system,in order to guide sustainable advance for planning, management and construction of public open space.
英文关键词: Public open space;Accessibility;quantitative analysis;Urban population density