Evaluating the impact of urban morphology on urban vitality: an exploratory study using big geo-data

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成果类型：

期刊论文

作者：

Jiang, Yanxiao;Huang, Zhou;Zhou, Xiao;Chen, Xiaojian

通讯作者：

Huang, Z

作者机构：

[Huang, Zhou; Chen, Xiaojian; Jiang, Yanxiao] Peking Univ, Inst Remote Sensing & Geog Informat Syst, Sch Earth & Space Sci, Beijing, Peoples R China.

[Huang, Zhou; Chen, Xiaojian; Jiang, Yanxiao] Peking Univ, Beijing Key Lab Spatial Informat Integrat & Its Ap, Beijing, Peoples R China.

[Zhou, Xiao] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China.

[Huang, Zhou; Huang, Z] Peking Univ, Inst Remote Sensing & Geog Informat Syst, Sch Earth & Space Sci, Beijing 100871, Peoples R China.

通讯机构：

[Huang, Z ] P

Peking Univ, Inst Remote Sensing & Geog Informat Syst, Sch Earth & Space Sci, Beijing 100871, Peoples R China.

语种：

英文

关键词：

Urban vitality;urban morphology;big geo-data;MGWR

期刊：

国际数字地球学报(英文)

ISSN：

1753-8947

年：

2024

卷：

期：

DOI：

10.1080/17538947.2024.2327571

基金类别：

National Key Research and Development Program of China [2023YFB3906802]

机构署名：

本校为其他机构

院系归属：

城市与环境科学学院

摘要：

The United Nations has proposed Sustainable Development Goals (SDGs), of which SDG11 aims to "make cities and human settlements inclusive, safe, resilient and sustainable". This is in line with Urban Vitality's objectives. This study proposes a quantitative framework to evaluate the impact of urban morphology on urban vitality. In this framework, a proxy that is more reflective of economic and human activities is proposed for depicting urban vitality based on geographic big data; then we use a Multi-scale Geographically Weighted Regression (MGWR) regression considering spatial heterogeneity to...

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Evaluating the impact of urban morphology on urban vitality: an exploratory study using big geo-data

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