Research on the Resilience Measurement and Improvement Strategies of Sponge City Infrastructure: A Case Study of Huludao City

DOI

10.2991/978-94-6239-758-3_76How to use a DOI?

Keywords

sponge city; urban infrastructure; resilience theory; entropy weight method; cloud model

Abstract

In recent years, the combination of global climate change and rapid urbanization has led to multi-hazard, high-frequency, and compound disaster risks for cities in China, exposing significant vulnerabilities in urban infrastructure under extreme impacts. Based on this context, this study selects Huludao City in Liaoning Province as the research object, using the entropy weight method to determine the indicator weights, and applying methods such as the cloud model to assess the resilience level of infrastructure. Finally, based on the evaluation results, the study proposes pathways to enhance the urban infrastructure resilience of Huludao City.

Copyright

© 2026 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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TY  - CONF
AU  - Guogang Lv
PY  - 2026
DA  - 2026/09/08
TI  - Research on the Resilience Measurement and Improvement Strategies of Sponge City Infrastructure: A Case Study of Huludao City
BT  - Proceedings of the 2026 7th International Conference on Management Science and Engineering Management (ICMSEM 2026)
PB  - Atlantis Press
SP  - 771
EP  - 777
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-758-3_76
DO  - 10.2991/978-94-6239-758-3_76
ID  - Lv2026
ER  -