基于互联网媒介图像信息的多尺度城市夜景意象研究

发布时间：2018-02-20 05:26

本文关键词： 空间意象城市夜景互联网图片珠海　出处：《规划师》2017年09期 　论文类型：期刊论文

【摘要】：城市夜景意象作为一个完整城市意象的必要组成部分,在城市形象建立与空间特色展示方面的作用正日渐受到规划界的重视。网络媒介的发展与数据信息传播的多样化,使城市意象不再依赖于个体的亲身体验,突破了传统空间的物理约束,在广域范围内被受众所感知。研究以珠海为案例,重点探讨两个议题:如何基于网络媒介(图片)数据包含的信息,对城市夜景意象作出基本特征识别与大众选择倾向?昼夜城市意象的时空差异如何体现?基于"四个空间尺度+两个时间维度"的分析架构,研究借助夜间遥感光强度数据和互联网搜索引擎中的图片景观数据,对珠海的城市夜景空间意象进行量化研究,分析人们对珠海夜间环境空间意象的感知差异。研究发现,城市夜景意象的城乡差异较大,市域与中心城区的空间集聚特征明显,并具有更为强烈的大尺度认知、地域城市特色倾向;人工标志性构筑物元素与山、海要素是夜景的主要内容。
[Abstract]:As a necessary part of a complete city image, the image of city night scene is being paid more and more attention to by the planning circles in the aspects of city image establishment and space characteristic display, the development of network medium and the diversification of data and information dissemination. So that the urban image no longer depends on the individual experience, breaking through the physical constraints of traditional space, and is perceived by the audience in a wide area. This paper focuses on two topics: how to identify the basic features of the urban night scene image based on the information contained in the network media (picture) data and the tendency of the public to choose? How do the spatial and temporal differences of urban imagery between day and night reflect? Based on the analysis framework of "four spatial scales and two time dimensions", this paper makes a quantitative study on the urban night scene spatial image of Zhuhai with the help of night remote sensing light intensity data and image landscape data in Internet search engine. By analyzing the difference of people's perception to the spatial image of Zhuhai night environment, it is found that the urban and rural difference of the image of urban night scene is great, the spatial agglomeration between the city and the central city is obvious, and it has a stronger large-scale cognition. The characteristic tendency of regional cities and the elements of artificial landmarks, mountains and seas are the main contents of night scenery.
【作者单位】：深圳大学建筑与城市规划学院;深圳大学深圳市建筑环境优化设计研究重点实验室;华南理工大学建筑学院;香港中文大学建筑学院;
【基金】：国家自然科学基金资助项目(51508334) 广东省自然科学基金资助项目(2015A030310276) 深圳大学新引进教师科研启动项目(201538)
【分类号】：TP393.09;TU113.666

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