基于网络媒介数据的城市风貌研究综述  

A REVIEW OF URBAN LANDSCAPE STUDIES BASED ON NETWORK MEDIA DATA

作　　者：袁青[1,2] 李亚辉 冷红 YUAN Qing;LI Yahui;LENG Hong

机构地区：[1]哈尔滨工业大学建筑与设计学院,自然资源部寒地国土空间规划与生态保护修复重点实验室,寒地城乡人居环境规划技术研究所 [2]中国城市规划学会 [3]太原市规划和自然资源局 [4]哈尔滨工业大学建筑与设计学院,自然资源部寒地国土空间规划与生态保护修复重点实验室 [5]中国城市规划学会学术工作委员会

出　　处：《城市规划》2024年第10期102-113,共12页City Planning Review

基　　金：国家自然科学基金资助项目(52278056)。

摘　　要：随着互联网技术的快速发展,大量的网络媒介数据成为城市研究新的数据源,同时也为城市风貌研究提供海量数据样本和新的研究思路。首先对城市风貌研究中常用的三种数据源(图片、文字和视频)进行对比分析,分别总结其数据特点和研究方法,随后从风貌特征识别(结构特征、变量类型特征和具象空间偏好特征)、城市环境评价(物质环境评价、主观情绪和感知评价)和风貌感知影响机制(空间、社会、经济等多维要素以及媒介技术内容、形式和传播特性的影响)三方面综述了网络媒介数据在城市风貌研究中的应用。最后,对现有研究成果进行总结,分析网络媒介数据在城市研究和规划管控中的巨大应用潜力以及数据缺陷与研究局限性,并探讨未来相关研究的方向和重点。With the rapid development of Internet technology,a large amount of network media data has become a new data source for urban studies and also provided massive data samples and new research ideas for urban landscape studies.This paper first makes a comparative analysis of the three data sources(i.e.,images,texts,and videos)commonly used in urban landscape studies,and summarizes their characteristics and research methods respectively.It then illuminates the application of network media data in the urban landscape studies from three perspectives:(1)identification of landscape features,including structural features,variable type features,and representational space preference features;(2)assessment of urban environment,including physical environment assessment,and subjective emotion and perception assessment;(3)impact mechanism of landscape perception,including the impact of spatial,social,economic and other elements,as well as that of media technology content,form,and dissemination characteristics.In the end,based on a summary of the existing research results,the paper analyzes the application potential of network media data in urban studies and planning management and control,points out data defects and limitations of current studies,and discusses the direction and focus of future research.

关 键 词：网络媒介数据 城市风貌 环境评价 风貌感知 

分 类 号：TU984[建筑科学—城市规划与设计]