Measuring Physical Disorder in Urban Street Spaces: A Large-Scale Analysis Using Street View Images and Deep Learning-Reference-Cited by-同舟云学术

Measuring Physical Disorder in Urban Street Spaces: A Large-Scale Analysis Using Street View Images and Deep Learning

Published:2022-10-14 Issue:2 Volume:113 Page:469-487
ISSN:2469-4452
Container-title:Annals of the American Association of Geographers
language:en
Short-container-title:Annals of the American Association of Geographers

Author:

Chen Jingjia¹^ORCID,Chen Long²^ORCID,Li Yan¹^ORCID,Zhang Wenjia³^ORCID,Long Ying⁴^ORCID

Affiliation:

1. School of Architecture, Tsinghua University, China

2. Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, China, and School of Architecture, Tsinghua University, China

3. Peking University Shenzhen Graduate School, China

4. School of Architecture and Hang Lung Center for Real Estate, Key Laboratory of Eco Planning & Green Building, Ministry of Education, Tsinghua University, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Earth-Surface Processes,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/24694452.2022.2114417

Reference34 articles.

1. The Promise, Practicalities, and Perils of Virtually Auditing Neighborhoods Using Google Street View

2. An examination of processes linking perceived neighborhood disorder and obesity

3. Using Google Earth to conduct a neighborhood audit: Reliability of a virtual audit instrument

4. The Irvine–Minnesota Inventory to Measure Built Environments

5. Perceptions of disorder: Contributions of neighborhood characteristics to subjective perceptions of disorder

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