苏州科技大学, 建筑与城市规划学院, 江苏苏州 215009
| 摘 要: | 本文旨在基于POI数据和空间句法工具对苏州古街坊活力提升进行研究,主要依靠大数据分析研究对象的各类功能要素分布情况,利用空间句法工具探寻研究对象与城市格局之间的内在联系,找到优化街坊活力的关键点,并提出相应策略。本次研究以苏州古城49号街坊南园河以北区域为例,通过获取场地的300米生活圈的POI数据进行核密度和相关性分析,发现场地周边各产业对场地内部的辐射范围不足,可达性有限,同时利用空间句法分析场地的整合度、选择度、视域情况,进一步发现场地的聚集性、穿行性不高,但场地中轴和南北轴通道相对可达性较高,视域情况也较好,最后基于以上分析结果,综合地为场地提出优化更新策略,提升场地内部活力。最后希望通过此研究可以为中国传统古街坊活力提升研究提供一些研究经验和案例参考。 |
| 关 键 词: | POI数据; 空间句法; 苏州古街坊; 活力提升; 更新策略 |
| DOI: | 10.57237/j.cear.2023.02.001 |
School of Architecture and Urban Planning, Suzhou University of Science and Technology, Suzhou 215009, China
| Abstract: | The purpose of this article is to investigate the enhancement of vitality in Suzhou's ancient neighborhoods based on POI data and spatial syntax tools. The study relies mainly on big data analysis to examine the distribution of various functional elements of the study object, and utilizes spatial syntax tools to explore the inherent connections between the study object and the urban pattern, in order to find key points for optimizing the vitality of the neighborhoods and propose corresponding strategies. The study takes the area north of Nanyuan River in Block 49 of Suzhou's ancient city as an example, and uses POI data within a 300-meter living circle around the site for kernel density and correlation analysis. It is found that the industries around the site do not have enough radiation range and limited accessibility to the site's interior. In addition, using spatial syntax analysis, the study further discovers that the site has low aggregation and traversability, while the accessibility of the central axis and north-south axis channels in the site is relatively high, and the visual situation is also good. Finally, based on the above analysis results, comprehensive optimization and updating strategies are proposed for the site to enhance its internal vitality. In conclusion, it is hoped that this research can provide some research experience and case references for the study of enhancing the vitality of traditional ancient neighborhoods in China. |
| Keywords: | POI Data; Spatial Syntax; Suzhou Ancient Neighborhood; Vitality Enhancement; Update Strategy |
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