| 基于多源大数据的岭南地区老旧小区 空间形态量化研究 |
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| 引用本文： | 黄健文,朱雪梅,徐莹,熊璐,张伟国. 基于多源大数据的岭南地区老旧小区 空间形态量化研究[J]. 广东工业大学学报, 2019, 36(4): 70-79. DOI: 10.12052/gdutxb.190017 |
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| 作者姓名： | 黄健文 朱雪梅 徐莹 熊璐 张伟国 |
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| 作者单位： | 广东工业大学 建筑与城市规划学院,广东 广州,510090;中国城市科学研究会 城市更新专业委员会,广东 广州,510090;广州市人文社科重点基地,广东 广州,510090;华南理工大学 建筑学院,广东 广州,510641;广东工业大学 建筑与城市规划学院,广东 广州,510090 |
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| 基金项目： | 国家自然科学基金资助项目（51308130）；国家社会科学基金资助项目（17BSH038） |
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| 摘 要： | 针对近年推进改造工作的城市老旧小区展开研究，从物质空间形态角度出发，结合多源大数据采集75个岭南地区老旧小区样本数据，以定量研究为依托，从城市中微观空间层面建筑和道路的相关量化指标进行统计，并对量化指标进行相关性分析，从建筑量度、道路量度、建筑尺度三组变量剖析影响空间形态的各要素的相互关系.
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| 关 键 词： | 物质空间形态 量化研究 老旧小区 多源大数据 |
| 收稿时间： | 2019-01-16 |
A Quantitative Research on Spatial Morphology of Old Residential Neighborhoods in Lingnan Area Based on Multi-source Big Data |
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| Huang Jian-wen,Zhu Xue-mei,Xu Ying,Xiong Lu,Zhang Wei-guo. A Quantitative Research on Spatial Morphology of Old Residential Neighborhoods in Lingnan Area Based on Multi-source Big Data[J]. Journal of Guangdong University of Technology, 2019, 36(4): 70-79. DOI: 10.12052/gdutxb.190017 |
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| Authors: | Huang Jian-wen Zhu Xue-mei Xu Ying Xiong Lu Zhang Wei-guo |
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| Affiliation: | 1. School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China;2. Urban Renewal Professional Committee, China Society for Urban Studies, Guangzhou 510090, China;3. Guangzhou Humanities and Social Sciences Key Base, Guangzhou 510090, China;4. School of Architecture, South China University of Technology, Guangzhou 510641, China |
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| Abstract: | Research on the old residential neighborhoods is promoted by the redevelopment activities in the recent years. From the perspective of physical spatial morphology, combined with the multi-source big data, 75 samples of old residential neighborhoods in the Lingnan area are collected, and using quantitative indicators related to the buildings and roads from the micro-spatial level of the city, a quantitative statistics research is conducted. Through the correlation analysis from the quantitative indicators, the relationship between the various factors affecting the spatial morphology is analyzed from the three groups of indicators about the building measurement, road measurement and building dimension. |
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| Keywords: | spatial morphology quantitative research old residential neighborhoods multi-source big data |
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