基于多源数据的密集城区后街潜力评价及空间分异研究* ——以广州市越秀区为例
Research on Potential Assessment and Spatial Variation of Backstreets in Densely Populated Urban Areas Based on Multi-source Data: A Case Study of Yuexiu District of Guangzhou
庄凯月
广州市城市规划勘测设计研究院有限公司 规划师，硕士
徐 苗（通信作者）
重庆大学建筑城规学院 山地城镇建设与新技术教育部重点实验室 教授，xum@cqu.edu.cn
黎 茵
广州市城市规划勘测设计研究院有限公司 高级规划师
赵伯伦
哈尔滨工业大学建筑与设计学院 寒地城乡人居环境科学与技术工业和信息化部 重点实验室 博士研究生
曹越皓
人工智能与数字经济广东省实验室（深圳） 深圳大学建筑与城市规划学院 博士后，博士
摘要: 在密集城区的存量发展与更新中，随着“主街”空间资源利用的日益饱和，城市更新的步伐逐步向“后街”等次级空间转 移。“后街”因其具备多样的空间构成模式和灵活的功能转化潜力，能够在有限的资源下，为时下的消费模式、文化业态和 社会活动提供多元化的空间载体，是密集城区可持续更新的重要支撑。以广州市越秀区为研究范围并建立多源数据库，从 空间品质、产业经济、历史文化和社会活力4个维度，构建密集城区后街潜力评估模型；利用地理加权回归（GWR）模型探 究各项潜力要素对后街的不同影响，分析其空间分异特征。以新河浦后街街区为例，从空间适配、产业经济、文化根植、社会 活动4个方面提出以后街为切入点的城市更新策略，旨在为当前我国密集城区的精细化开发和可持续发展提供有益借鉴。
Abstract: In the development and renewal of dense urban areas, with the increasing saturation of “main street” spatial resource utilization, urban renewal has gradually turned to secondary spaces such as “backstreets”. Due to their diversified spatial configuration patterns and flexible functional transformation potentials, backstreets have become important supports for sustainable renewal in dense urban areas, as they can provide diverse spatial carriers for the existing consumption patterns, cultural formats, and social activities under limited resource conditions. Taking Yuexiu District, Guangzhou as the research scope and establishing a multi-source database, this study constructs a potential assessment model for backstreets in dense urban areas from four dimensions: spatial quality, industrial economy, historical culture, and social vitality. The study also investigates the different influences of various potential factors on backstreets using a Geographically Weighted Regression (GWR) model and analyzes their spatial differentiation characteristics. Taking Xinhepu Backstreet as a case study, urban renewal strategies based on backstreets are proposed, aiming to provide valueable references for refined development and sustainable development of dense urban areas in China.
关键词：后街；密集城区；多源数据；潜力评价；空间分异性
Keyword: backstreet; dense urban areas; multi-source data; evaluation of potential; spatial differentiation
中图分类号：TU984
文献标识码: A
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