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Understanding the Use of Heterogenous Data in Tackling Urban Flooding: An Integrative Literature Review

Ren, Ming; Zhang, Ziqi; Zhang, Jun; Mora, Luca


Ming Ren

Ziqi Zhang

Jun Zhang


Data-driven approaches to urban flooding management require a comprehensive understanding of how heterogenous data are leveraged in tackling this problem. In this paper, we conduct an integrative review of related studies, and this is structured based on two angles: tasks and data. From the selected 69 articles on this topic, diverse tasks in tackling urban flooding are identified and categorized into eight categories, and heterogeneous data are summarized by their content type and source into eight categories. The links between tasks and data are identified by synthesizing what data are used to support the tasks in the studies. The task–data links are a many-to-many relationship in the sense that one particular data category supports multiple tasks, and one particular task uses data from multiple categories. The future research opportunities are also discussed based on our observations. This paper serves a signpost for researchers who wish to gain an overview of the heterogenous data and their use in this field and lays a foundation for studies that aim to develop a data-driven approach to tackle urban flooding.

Journal Article Type Article
Acceptance Date Jul 6, 2022
Online Publication Date Jul 7, 2022
Publication Date 2022-07
Deposit Date Aug 11, 2022
Publicly Available Date Aug 11, 2022
Journal Water
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 14
Issue 14
Article Number 2160
Keywords data; urban waterlogging; urban flooding; integrative literature review
Public URL


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