城市意象是公众感知城市环境后形成的集体记忆，针对老城城市意象的研究有助于了解公众对城市空间的感知，进而指导城市历史景观的更新与保护。文章以北京老城为研究对象，通过构建自发地理信息平台采集公众对于历史空间的认知数据。研究首先根据均质化地域原理将北京老城划分为40 块 4 km2 以内的片区，由专家与群众选取各片区具有代表性的 1～3 张照片，再通过HTML5 语言设计照片与地图相互匹配的拼图游戏平台，获取各片区的匹配成功率及公众喜好数据，加以处理得到印象指数与喜爱指数。最后，通过知觉矩阵分析及聚类检验得出北京老城的城市意象空间分布特点，并对北京老城的城市更新提出相关建议。
Urban Image Study Based on Volunteered Geographic Information Platform:A Case of the Old City of Beijing
The image of the city refers to the collective memory generated by public perception of the surrounding urban environment.The research on the urban image of the old city is helpful to understand the public perception of urban space and then to guide the protection and renewal of urban historic landscape.This paper takes the old city of Beijing as the research object,and obtains the public cognition on the historic space by establishing a platform collecting volunteered geographic information.Firstly,the Old City of Beijing is divided into 40 areas within 4 km2 according to the principle of homogeneous region.Secondly,1-3 representative photos are selected from each area by the experts or the public.Then,a jigsaw puzzle game platform matching photos with maps is designed with HTML5 language,so as to obtain the matching success rate and public reference data of each area,which are then processed to obtain the image index and preference index.Finally,the spatial distribution characteristics for the urban image of the old city of Beijing are obtaineed through perception matrix analysis and cluster test.The paper provides relevant suggestions for the urban renewal of the old city of Beijing.
urban imagehistoric cityonline datavolunteered geographic informationOld City of Beijing
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