Proceedings of the 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024)

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Research on Path Enhancement of Urban Resilience Building Under the Perspective of Resilience Development

Authors
Xinwei Yin1, 2, *, Weihua Yao2, Bei Zhang2, Yangfan Zhou2, Yue Ge2
1Department of Safety Science and Engineering, School of Engineering and Technology, China University of Geosciences (Beijing), Beijing, China
2Institute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing, China
*Corresponding author. Email: albertyxw@163.com
Corresponding Author
Xinwei Yin
Available Online 13 November 2024.
DOI
10.2991/978-94-6463-562-1_25How to use a DOI?
Keywords
urban resilience; resilient city; system standards; policy practice; pathway enhancement
Abstract

Urban disaster risks are characterized by their frequent, sudden, and recurrent nature. As hubs of population and wealth, cities face higher demands for resilient urban planning and development. By examining the evolution of the “urban resilience” concept, this paper analyzes the current state of resilient city standards in China and abroad. It summarizes assessment methods and applications, compares policy practices at different government levels, and proposes pathways to enhance resilient city construction. These pathways include theoretical and technical research, urban construction and operation system analysis, broad participation in top-level design, regular quantitative assessments, and long-term iterative optimization. The goal is to provide a reference for establishing an efficient and collaborative resilient city construction system.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024)
Series
Advances in Computer Science Research
Publication Date
13 November 2024
ISBN
978-94-6463-562-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-562-1_25How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xinwei Yin
AU  - Weihua Yao
AU  - Bei Zhang
AU  - Yangfan Zhou
AU  - Yue Ge
PY  - 2024
DA  - 2024/11/13
TI  - Research on Path Enhancement of Urban Resilience Building Under the Perspective of Resilience Development
BT  - Proceedings of the 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024)
PB  - Atlantis Press
SP  - 259
EP  - 271
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-562-1_25
DO  - 10.2991/978-94-6463-562-1_25
ID  - Yin2024
ER  -