Bibliometric review of human-flood interaction: Geospatial disconnects between hazard patterns and scientific knowledge

Abstract

Amid accelerating climate change and intensifying human activities, flood risks have been accumulating, reinforcing the bidirectional interplay between humans and floods. Within this context, human-flood interaction has emerged as a rapidly expanding research frontier that is attracting growing attention. Here, we review 78 representative studies to examine publication trends, research hotspot shifts, and persistent challenges in this field, combining bibliometric analyses with flood disaster records. We found that, over the past three decades, publications on human-flood interaction have increased exponentially, with their focus shifting from one-way impacts towards two-way human-flood coupling. The global collaboration network displays a “dual-core” structure, with transcontinental collaboration between China and the United States and regional collaborations within Europe, whereas participation from Global South countries remains marginal. In addition, a spatial disconnect persists between the geographic distribution of research hotspot regions and that of flood records. Based on bibliometric mapping, we further highlight three enduring challenges: (i) scale mismatches, (ii) spatiotemporal coupling gaps, and (iii) deficits in behavioral modeling. The insights gained from this study will help guide future research and investment in human-flood interaction, with practical implications for enhancing resilience to flood disasters and promoting sustainable human-water coexistence.

Keywords

Human-flood interaction / Bibliometric analysis / Coupling gap

Data availability

The data used in the analysis are publicly available for download.

CRediT authorship contribution statement

Zhiyang Lan: Writing - original draft, Validation, Methodology, Data curation, Conceptualization. Wenbin Liu: Writing - review & editing, Validation, Conceptualization. Xinli Bai: Visualization, Validation, Conceptualization. Tingting Wang: Validation, Data curation. Hong Wang: Validation, Data curation. Yao Feng: Validation, Data curation. Yusen Yang: Validation. Fubao Sun: Writing - review & editing.

Declaration of competing interests

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

This study was financially supported by the National Key Research and Development Program of China (Grant No. 2024YFC3013400), and the National Natural Science Foundation of China (Grant No. 42471031). We thank the editor and two anonymous reviewers for their helpful comments.

Supplementary materials

Supplementary material associated with this article can be found, in the online version, at doi:10.1016/j.geosus.2026.100431.

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