Human mobility amplifies compound flood risks in coastal urban areas under climate change

Coastal cities face increasing compound flood risks from human mobility patterns under climate change. In this study, we integrated dynamic population distribution models with numerical hydrodynamic modelling to examine mobility effects on flood risk in Hong Kong’s Kowloon area. We simulated flooding across 75 scenarios with matching rainfall and storm surge return periods (50, 100, 200 years) under current conditions and climate projections for 2060 and 2100 under intermediate and very high emission pathways. We found human mobility causes notable temporal shifts in risk distribution, with commercial areas experiencing higher daytime risk while residential areas face increased nighttime risk. Flood risk decreases with distance from coastlines, showing distinct variations between weekdays and weekends. The Night-Day Risk Ratio reveals weekday differentials ranging from 18.7% to 20.6% with minimal weekend variations, intensifying under future climate projections. These insights inform urban planning and flood management in coastal cities. Human mobility significantly alters the temporal and spatial distribution of compound flood risks in coastal cities, according to an integrated dynamic population and hydrodynamic modeling of 75 storm surge and rainfall scenarios in Hong Kong’s Kowloon area under current and future climate projections.

Authors

Institutions

Publication Details

Journal
Communications Earth & Environment
Published
2025-05-25
DOI
https://doi.org/10.1038/s43247-025-02406-x
Citations
17
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
18.79

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Human mobility amplifies compound flood risks in coastal urban areas under climate change

Huan‐Feng Duan, Zhi-Yong Long
17 citations
Communications Earth & Environment
Flood Risk Assessment and Management
18.79
article

Human mobility amplifies compound flood risks in coastal urban areas under climate change

Huan‐Feng Duan, Zhi-Yong Long
article en
17 citations

Abstract

Coastal cities face increasing compound flood risks from human mobility patterns under climate change. In this study, we integrated dynamic population distribution models with numerical hydrodynamic modelling to examine mobility effects on flood risk in Hong Kong’s Kowloon area. We simulated flooding across 75 scenarios with matching rainfall and storm surge return periods (50, 100, 200 years) under current conditions and climate projections for 2060 and 2100 under intermediate and very high emission pathways. We found human mobility causes notable temporal shifts in risk distribution, with commercial areas experiencing higher daytime risk while residential areas face increased nighttime risk. Flood risk decreases with distance from coastlines, showing distinct variations between weekdays and weekends. The Night-Day Risk Ratio reveals weekday differentials ranging from 18.7% to 20.6% with minimal weekend variations, intensifying under future climate projections. These insights inform urban planning and flood management in coastal cities. Human mobility significantly alters the temporal and spatial distribution of compound flood risks in coastal cities, according to an integrated dynamic population and hydrodynamic modeling of 75 storm surge and rainfall scenarios in Hong Kong’s Kowloon area under current and future climate projections.

Communications Earth & EnvironmentVol. 6(1)
Hong Kong Polytechnic University (HK)
National Natural Science Foundation of China, Research Grants Council, University Grants Committee, Hong Kong Polytechnic University
Climate action
Openalex Percentile: Top 0%
Flood Risk Assessment and Management
18.79
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.