Vulnerability to urban flooding assessed based on spatial demographic, socio-economic and infrastructure inequalities

Roldán-Valcarce, Alejandro; Jato-Espino, Daniel; Manchado, Cristina; Bach, Peter M.; Kuller, Martijn

doi:10.1016/j.ijdrr.2023.103894

Cited by 7 publications

(4 citation statements)

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“…Unaffected by climatic conditions, this approach supports the efficient mapping of disaster hotspots (Songchon et al, 2021;Zeng et al, 2021). Concurrently, studies on urban flood vulnerability or resilience often combine the exposure to floods with socioeconomic data to assess urban flood risk (Roldán-Valcarce et al, 2023). From this standpoint, the effect on urban accessibility (Green et al, 2017) and the financial damage caused by flooding (He et al, 2021) can be evaluated.…”

Section: Introductionmentioning

confidence: 88%

Evaluating the effect of urban flooding on spatial accessibility to emergency shelters based on social sensing data

Zhu,

Jiang,

Zhang

et al. 2023

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Urban flooding is a growing source of natural hazards, significantly threatening the safety of sustainable development in cities. The distribution of flood risks is heterogeneous, so it is crucial to allocate emergency resources reasonably. This article develops an analytical framework to evaluate the effect of urban flooding on emergency responses based on social sensing data. Initially, we designed a Weibo search pattern and used natural language processing technologies to get high‐risk flood points. Then, assuming that such high‐risk flood points can disrupt traffic, we assessed urban emergency shelter accessibility after flooding events. Finally, we carried out an evaluation of spatial fairness between population and emergency shelter accessibility through spatial correlation analysis. We analyzed the urban area of Nanjing as a case study, extracting 37 high‐risk flood points from the past 5 years. The results highlight that existing emergency shelters fall short in accommodating the needs of urban residents under disaster conditions. This disparity is notably amplified in high‐risk flood points. By measuring the impact of flooding quantitatively, we expect to promote a more comprehensive management on urban flood risks.

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Section: Introductionmentioning

confidence: 88%

Evaluating the effect of urban flooding on spatial accessibility to emergency shelters based on social sensing data

Zhu,

Jiang,

Zhang

et al. 2023

Transactions in GIS

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“…The importance of flood modeling and mapping associated with rainfall return periods is evident for instances such as aiding in the development of flood insurance plans [8] or even by being used to define multifaceted risk areas that would depend not only on hydrological but also socioeconomic information [9][10][11]. Even though multiple applications use products derived from flood simulation results, a large uncertainty can arise from not clearly defining the proper duration and temporal distribution of the rainfall that would maximize the expected flood hazard (e.g., maximum water surface depth).…”

Section: Introductionmentioning

confidence: 99%

Exploring the Impact of Rainfall Temporal Distribution and Critical Durations on Flood Hazard Modeling

Gomes,

Jalihal,

Mendiondo

2024

Preprint

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Urbanization and climate change amplify challenges posed by floods for both city dwellers and planners. Flood modeling, rooted in geosciences and atmospheric sciences, operates in a non-linear and multi-modal fashion, marked by uncertainties from factors like soil infiltration characteristics, floodplain roughness, and spatio-temporal variations in rainfall volume, distribution, and intensities. This paper addresses these challenges by introducing a flood mapping methodology that incorporates synthetic design storms and compares them with a fitted median rainfall distribution derived from high-resolution observed rainfall data in the catchment. The flood hazard effect of choosing different rainfall temporal distribution methods is investigated. The Alternating Blocks Method and the Huff curves method, one of the most widely used methods in engineering hydrology, were chosen as representative synthetic rainfall methods for flood mapping assessment and compared against the measured median rainfall distribution. The framework was applied in a 131 km2 flood-prone urban catchment in Bangalore, India. Evaluation of different rainfall distributions reveals a potential 50% smaller areas with flood hazard, for the same return period and duration, simply by selecting a specific rainfall distribution compared to the expected fitted median rainfall distribution based on observed data. This research not only underscores the importance of appropriate rainfall distribution selection and critical rainfall duration, but also highlights the need for accurate data-driven methodologies in flood mapping, particularly in the face of urbanization and climate-induced complexities.

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“…For instance, studies have utilized GIS technology to assess urban flood risks, highlighting the need for targeted resilience measures [26]. Similarly, integrating MCDM with GIS provides a robust framework for evaluating both the physical and socio-economic aspects of infrastructure resilience, leading to more effective planning and management strategies [27]. Despite significant research into urban infrastructure resilience, there remains a gap in studies that comprehensively analyze specific climate characteristics and their impact on transportation systems [28].…”

Section: Introductionmentioning

confidence: 99%

Resilience Assessment and Enhancement Strategies for Urban Transportation Infrastructure to Cope with Extreme Rainfalls

Lang,

Wan,

Zhang

et al. 2024

Sustainability

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As climate change intensifies, urban transportation infrastructure faces unprecedented challenges from extreme weather events, such as floods. This study investigates the resilience and vulnerability of such infrastructure under extreme rainfall conditions in Changchun City. Utilizing Multi-Criteria Decision-Making Analysis (MCDM) and Geographic Information System (GIS) techniques, we comprehensively assess the physical, functional, and service vulnerabilities of the transportation network. Our analysis reveals that only 3.57% of the area is classified as highly resilient, demonstrating effective flood management capabilities. In contrast, a significant 61.73% of the area exhibits very low resilience, highlighting substantial vulnerabilities that could impact urban operations. Based on our findings, we propose specific strategies to enhance resilience, including optimizing drainage systems, upgrading infrastructure standards, implementing green infrastructure initiatives, and integrating disaster risk factors into urban planning. These strategies and insights provide valuable references for global cities facing similar climatic challenges.

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Vulnerability to urban flooding assessed based on spatial demographic, socio-economic and infrastructure inequalities

Cited by 7 publications

References 50 publications

Evaluating the effect of urban flooding on spatial accessibility to emergency shelters based on social sensing data

Evaluating the effect of urban flooding on spatial accessibility to emergency shelters based on social sensing data

Exploring the Impact of Rainfall Temporal Distribution and Critical Durations on Flood Hazard Modeling

Resilience Assessment and Enhancement Strategies for Urban Transportation Infrastructure to Cope with Extreme Rainfalls

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