Author
Listed:
- Xuan Tang
(SILC Business School, Shanghai University, 20 Chengzhong Rd., Jiading, Shanghai 201800, China
The Digital Industry Group of Shanghai Urban Construction Corporation, Xuhui, Shanghai 200032, China)
- Juan Du
(SILC Business School, Shanghai University, 20 Chengzhong Rd., Jiading, Shanghai 201800, China
SHU-SUCG Research Centre for Building Industrialization, Shanghai University, Shanghai 201800, China)
- Hao Zhou
(SILC Business School, Shanghai University, 20 Chengzhong Rd., Jiading, Shanghai 201800, China
SHU-SUCG Research Centre for Building Industrialization, Shanghai University, Shanghai 201800, China)
- Zeqian Hu
(SILC Business School, Shanghai University, 20 Chengzhong Rd., Jiading, Shanghai 201800, China
SHU-SUCG Research Centre for Building Industrialization, Shanghai University, Shanghai 201800, China)
- Bing Liu
(Business School, Sichuan University, Chengdu 610064, China)
- Min Hu
(SILC Business School, Shanghai University, 20 Chengzhong Rd., Jiading, Shanghai 201800, China
SHU-SUCG Research Centre for Building Industrialization, Shanghai University, Shanghai 201800, China)
Abstract
Urban flood disaster management is an interdisciplinary field that integrates hydrology, geology, engineering, and urban planning, with prediction, assessment, and optimization serving as its core components. However, a comprehensive and systematic synthesis of recent developments in this domain remains limited, constraining both theoretical understanding and practical advancement. To address this gap, this study conducts an in-depth analysis of urban flood management research as a systematic review, with a particular focus on advances in prediction, assessment, and optimization. Utilizing a multistep holistic review, combining bibliometric and scientometric analysis with structured literature categorization, the research critically examines and synthesizes relevant findings. This study analyzed 166 research papers related to urban flood management within the Web of Science database. Through co-citation and keyword co-occurrence analyses, five dominant research dimensions are identified: physics-based simulation methods, data-driven approaches, risk assessment tasks, optimization strategies, and miscellaneous emerging topics. Based on these insights, we propose a task-oriented framework that systematically integrates prediction, assessment and optimization across the four phases of disaster management: mitigation, prevention, emergency response and recovery. This framework aids scholars and practitioners in understanding and implementing effective techniques and strategies. The study’s findings shed light on key trends and potential future directions, providing a roadmap for further exploration of urban flood management and guiding professionals in related fields.
Suggested Citation
Xuan Tang & Juan Du & Hao Zhou & Zeqian Hu & Bing Liu & Min Hu, 2026.
"Systematic Review for Urban Flood Disaster in Managerial Perspective: Forecasting, Assessment and Optimization,"
Sustainability, MDPI, vol. 18(2), pages 1-29, January.
Handle:
RePEc:gam:jsusta:v:18:y:2026:i:2:p:1106-:d:1845933
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:18:y:2026:i:2:p:1106-:d:1845933. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.