Evaluating the Spatial-Temporal Impact of Urban Flooding on Mobility Patterns and Point of Interest

Urban flooding poses significant challenges to densely populated areas, increasing vulnerability to environmental changes. This study assesses the spatial and temporal mobility patterns in response to flood events in Lagos State, Nigeria, a region prone to severe flooding due to its low-lying topography and rapid urbanization. By integrating human mobility and geospatial data, the study analyzes the correlation between flooding and POI visits using the Maximum Information Coefficient (MIC) and Difference-in-Differences (DiD) models. Results indicate significant variations across POI categories, with increased visits to Healthcare & Medical services reflecting emergency needs, while Transportation and Outdoor Recreation experience declines, highlighting the negative impact on general mobility and economic activities. The findings underscore the importance of targeted urban planning and policy interventions to mitigate the effects of urban flooding on communities.

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Publication Details

Published
2024-10-23
DOI
https://doi.org/10.1109/ghtc62424.2024.10771563
Primary Topic
Flood Risk Assessment and Management
Type
article
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article

Evaluating the Spatial-Temporal Impact of Urban Flooding on Mobility Patterns and Point of Interest

Chenfeng Xiong, Kailun Liu, Lele Zhang, Xin Wu
Flood Risk Assessment and Management
article

Evaluating the Spatial-Temporal Impact of Urban Flooding on Mobility Patterns and Point of Interest

Chenfeng Xiong, Kailun Liu, Lele Zhang, Xin Wu
article en

Abstract

Urban flooding poses significant challenges to densely populated areas, increasing vulnerability to environmental changes. This study assesses the spatial and temporal mobility patterns in response to flood events in Lagos State, Nigeria, a region prone to severe flooding due to its low-lying topography and rapid urbanization. By integrating human mobility and geospatial data, the study analyzes the correlation between flooding and POI visits using the Maximum Information Coefficient (MIC) and Difference-in-Differences (DiD) models. Results indicate significant variations across POI categories, with increased visits to Healthcare & Medical services reflecting emergency needs, while Transportation and Outdoor Recreation experience declines, highlighting the negative impact on general mobility and economic activities. The findings underscore the importance of targeted urban planning and policy interventions to mitigate the effects of urban flooding on communities.

Villanova University (US)
Sustainable cities and communities
Openalex Percentile: Top 81%
Flood Risk Assessment and Management
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Evaluating the Spatial-Temporal Impact of Urban Flooding on Mobility Patterns and Point of Interest — Chenfeng Xiong, Kailun Liu, et al. · (2024) | TGRS Research Map | TGRS