基于视域分析的街道空间视觉边界确定方法研究

发布时间：2018-11-17 11:51

【摘要】：街道空间是城市公共空间的重要组成部分,街道空间边界的形态在很大程度上影响着街道空间的格局。本文从街道空间的视觉感知为研究的切入点,通过GIS平台下的viewshed工具,研究不同速度下街道空间的视觉边界确定方法。在南京大学丁沃沃和童滋雨的论文(An approach for simulating the street spatial patterns))中,从视觉感知角度对南京、柏林、巴黎等六个具有代表性的城市街道切片进行了街道空间格局(street spatial pattern)的量化分析,基本实现了对不同城市肌理下的街道空间形态的表征。然而,在其文章中一条连续的街道空间边界是提取视觉数据的重要前提,作者基于视觉经验对这一问题进行了简化处理,其处理的方法是否恰当?是否会使结论产生偏差?为了回答这些问题,本文在其研究基础上对街道空间的视觉边界确定方法进行了研究,并通过与原有结论的对比分析验证了本文方法的合理性。与欧洲传统城市街道较为连续的街墙面不同,中国城市的街道建筑较为离散,常出现因建筑间距、建筑退距、交叉路口等因素导致的无清晰物质边界的空间区域,从而在视觉感知上,街道空间的边界相对模糊。本文将研究的重点放在街道的交叉口空间边界确定上,通过对城市交叉口切片的类型研究,得到三条能够包含各类型交叉口的街道理想模型。本文引入速度这一因子,在不同观察速度下对街道理想模型进行视域分析,通过比较三种速度下T-n曲线的视觉数据,得出T-9曲线能够在不同速度下较准确的表征街道空间形态特点,从而将T-9曲线定义为街道空间的视觉边界线。最后,本文对六个城市街道切片重新进行视域模拟,通过与《An approach for…》中的数据的对比分析,验证了本文有关街道空间边界确定方法的合理性。
[Abstract]:Street space is an important part of urban public space. The shape of street space boundary affects the pattern of street space to a great extent. In this paper, the visual perception of street space is taken as the starting point, and the method of determining the visual boundary of street space at different speeds is studied by means of viewshed tool based on GIS platform. In Dingwauw, Nanjing University and (An approach for simulating the street spatial patterns), a paper on children's rain, the visual perception of Nanjing, Berlin, Six representative sections of city streets, such as Paris, were analyzed quantitatively by (street spatial pattern), which basically realized the representation of street spatial patterns under different urban texture. However, a continuous boundary of street space is an important prerequisite for extracting visual data. The author simplifies the problem based on visual experience. Is it appropriate to deal with this problem? Will the conclusion be biased? In order to answer these questions, this paper studies the visual boundary determination method of street space on the basis of its research, and verifies the rationality of this method by comparing with the original conclusion. Different from the street wall of traditional European city streets, the street buildings in Chinese cities are more discrete, and there are often spatial areas with no clear material boundary caused by the space between buildings, the retreat of buildings, the intersection and so on. Thus, in visual perception, the boundary of street space is relatively fuzzy. In this paper, the emphasis of the research is on the determination of the intersection boundary of the street. By studying the type of the urban intersection slice, the ideal model of three streets can be obtained which can contain each type of intersection. This paper introduces the factor of velocity, and analyzes the visual field of the ideal street model at different observation speeds, and compares the visual data of T-n curves at three different speeds. It is concluded that T-9 curve can accurately characterize the shape of street space at different velocities, so T-9 curve is defined as the visual boundary line of street space. Finally, this paper reconducts the visual simulation of six urban street slices, and compares the results with < An approach for. The comparison and analysis of the data in this paper verify the rationality of the method for determining the boundary of street space.
【学位授予单位】：南京大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TU984.113

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