Spatial Vulnerability of Network Systems under Spatially Local Hazards

Hu, Xiao Bing; Li, Hang; Guo, Xiaomei; Gelder, Pieter van; Shi, Peijun

doi:10.1111/risa.12986

Cited by 8 publications

(9 citation statements)

References 36 publications

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“…The articles of Hu, Li, Guo, van Gelder, and Shi (), Avelino and Dall'ebra (), Ouyang, Tian, Wang, Hong, and Mao (), and Trakas () examine spatial impact assessment in interconnected systems. Hu et al.…”

Section: Key Steps and Complexities In Spatial Risk Analysismentioning

confidence: 99%

“…Hu et al. () consider the effects of hazards in network systems, examining how local hazards can spread out through the network topology. Two vulnerability indices are proposed for such systems, taking into account hazard location, affected area, and direct and indirect hazard impacts.…”

Section: Key Steps and Complexities In Spatial Risk Analysismentioning

confidence: 99%

“…In their case study of the Chinese civil‐aviation network, Hu et al. () consider three scenarios for the spatial distribution of local hazards. Sundell et al.…”

Section: Key Steps and Complexities In Spatial Risk Analysismentioning

confidence: 99%

“…The articles of Hu, Li, Guo, van Gelder, and Shi (2019), Avelino and Dall'ebra (2019), Ouyang, Tian, Wang, Hong, and Mao (2019), and Trakas (2019) examine spatial impact assessment in interconnected systems. Hu et al (2019) consider the effects of hazards in network systems, examining how local hazards can spread out through the network topology. Two vulnerability indices are proposed for such systems, taking into account hazard location, affected area, and direct and indirect hazard impacts.…”

Section: Stage 2: Predictive Modeling and Forecastingmentioning

confidence: 99%

“…While the robustness of different systems exposed to a variety of hazards is the focus of several articles in this special issue, only few articles have considered the robustness of the results with respect to assumptions and model parameters. In their case study of the Chinese civil-aviation network, Hu et al (2019) consider three scenarios for the spatial distribution of local hazards. Sundell et al (2019) consider three scenarios for water-drawdown measurements in their study of potential subsidence induced by the excavation of a planned power-line tunnel in Stockholm.…”

Section: Stage 4: Robustness Analysesmentioning

confidence: 99%

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Advances in Spatial Risk Analysis

et al. 2019

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Section: Key Steps and Complexities In Spatial Risk Analysismentioning

confidence: 99%

Section: Key Steps and Complexities In Spatial Risk Analysismentioning

confidence: 99%

“…In their case study of the Chinese civil‐aviation network, Hu et al. () consider three scenarios for the spatial distribution of local hazards. Sundell et al.…”

Section: Key Steps and Complexities In Spatial Risk Analysismentioning

confidence: 99%

Section: Stage 2: Predictive Modeling and Forecastingmentioning

confidence: 99%

Section: Stage 4: Robustness Analysesmentioning

confidence: 99%

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Advances in Spatial Risk Analysis

et al. 2019

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Seismic risk assessment for the infrastructure in the regions adjacent to the Russian Federation Baikal–Amur Mainline based on the Unified Scaling Law for Earthquakes

Nekrasova

2022

Nat Hazards

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The objective of the analysis is to evaluate, for a period of 50 years, the 10%, 5% and 1% probability of exceedance of seismic events in terms of loss in performance of infrastructure in the regions adjacent to the Russian Federation Baikal-Amur Mainline and Trans-Siberian Railway. In particular, we use earthquake data compiled at the Baikal Division of the Russian Geophysical Survey, which provides su ciently complete earthquake determinations of M = 2.5 or larger for the period 1994-2019 for mapping the USLE coe cients at the seismically active cells of a regular grid. Based on these estimates, we present maps of the maximum expected magnitude in about 500, 1000 and 5000 years. Having described an anisotropic seismic effect model of seismic sites in the region, we conclude by characterizing the seismic hazard in traditional macroseismic intensity terms and estimating the associated seismic risk to infrastructures.

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The Role of the Spatial Network in Urban Disaster Risk Variations: Reimagining the Notion of Spatial Vulnerability at the Urban Scale

Del Pinto,

Chmutina,

Palaiologou

et al. 2024

Int J Disaster Risk Sci

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The notion of “spatial vulnerability” is present in most disaster studies with a strong geographical connotation and accordingly is adopted at all scales, including the urban. While enabling mapping and visualizing risk patterns at macroscales, this geocentric foundation fails to capture disaster risk dynamics associated with the urban spatial network—an element that plays a significant role in the everyday and emergency functioning of cities, enabling users’ movement and interaction. Yet, urban vulnerability assessment overlooks this aspect and thus leaves urban disaster risk mechanisms partially unexplored. This study investigated the role of the network of urban public open spaces (UPOS) in the creation and progression of urban disaster risk in earthquake-prone settlements. Through a multimethod approach that integrates quantitative and qualitative methods and explores spatial configuration, planning policies, and practices of use of UPOS in everyday and emergency scenarios, our study demonstrated that UPOS configuration plays an active role in urban disaster risk. Urban public open spaces impact risk by influencing the exposure of pedestrians and their capacity for self-protection. The study further reconceptualized spatial vulnerability at the urban scale, as the fraction of vulnerability associated to the spatial network, highlighting the interplay of planning policies and spatial practices in its production and progression. Our findings make the notion of spatial vulnerability less ambiguous at the urban scale, by viewing the variable as an imbalance in capacities and exposure that generates spatially unsafe conditions. This refined conceptualization of spatial vulnerability becomes a lens for a more granular approach to urban disaster risk reduction and city planning by identifying and integrating sociospatial considerations.

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Spatial Vulnerability of Network Systems under Spatially Local Hazards

Cited by 8 publications

References 36 publications

Advances in Spatial Risk Analysis

Advances in Spatial Risk Analysis

Seismic risk assessment for the infrastructure in the regions adjacent to the Russian Federation Baikal–Amur Mainline based on the Unified Scaling Law for Earthquakes

The Role of the Spatial Network in Urban Disaster Risk Variations: Reimagining the Notion of Spatial Vulnerability at the Urban Scale

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