Hurricane Wilma, utility disruption, and household wellbeing

Chatterjee, Chiradip; Mozumder, Pallab

doi:10.1016/j.ijdrr.2015.09.005

Cited by 30 publications

(13 citation statements)

References 39 publications

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“…As factors affecting the perceived welfare loss of households exposed to hurricane Wilma in Florida, water and electricity disruptions were the most important ones behind reported monetary losses. Telecommunication also impacted perceived well-being but not to the same extent (Chatterjee & Mozumder, 2015). These disruptions have a number of different implications for household, including effects on income and health.…”

Section: Conclusion: Natural Disasters and Infrastructure Disruptionsmentioning

confidence: 95%

Infrastructure Disruptions: How Instability Breeds Household Vulnerability

Obolensky¹,

Erman²,

Rozenberg³

et al. 2019

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The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.

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Section: Conclusion: Natural Disasters and Infrastructure Disruptionsmentioning

confidence: 95%

Infrastructure Disruptions: How Instability Breeds Household Vulnerability

Obolensky¹,

Erman²,

Rozenberg³

et al. 2019

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“…Residents may indeed evacuate if they deem that the level of damage to their home caused by the hazard is so great that remaining inside could be unsafe or their well-being could also be affected. They might therefore leave their home when facing a disruption of lifelines provided by technical networks, including power outages, urban heating shut-offs or water supply system failures (Chatterjee & Mozumder, 2015). Furthermore, as social beings, a household's decision could be influenced by the society in which they live.…”

Section: Factors Influencing a Household's Decision To Evacuate In Thmentioning

confidence: 99%

Research article: Household resilience to major slow kinetics floods: a prospective survey of the capacity to evacuate in high rise buildings in Paris

Rabemalanto

Pottier

Edjossan-Sossou

et al. 2020

Preprint

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Abstract. This article presents the results of a prospective survey of households living in the only high rise residential buildings of Paris, which are located in a flood zone. It questions the behavior of households likely to be subject to evacuation instructions in the event of a progressive flooding impacting the functioning of the technical networks and associated urban services. The survey received 523 responses from 11 residential high-rise buildings located in the 15th district of Paris. It assessed the propensity of households to evacuate autonomously through three main factors: the capacity to self-evacuate, to self-host and to go to this temporary accommodation. The survey answers explicit requests for information by local authorities on inhabitants' capacities to self-evacuate and to self-host in order to support the formers' estimation of shelter requirements. The typology of evacuation capacities reveals that most of the respondents are partially dependent due to difficulties relating to re-accommodation issues. Furthermore, many people seems to have an incorrect perception of the public authorities' responsibilities. Information and warning systems could thus be improved, notably through a participative method.

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“…Researchers also identified the following extrinsic factors related to households' evacuation decision-making processes: communication/information concerning the risk (Wright & Johnston, 2010), influence of the society in which the households live, such as following the example of their neighbours after observing them evacuate (Lindell et al, 2005;Nagarajan et al, 2012), environmental cues, such as sights, smells or sounds, indicating the onset of the hazard (Lindell et al, 2015), liveability or not of their dwellings and neighbourhood resulting from disruptions of lifelines provided by technical networks (Chatterjee & Mozumder, 2015), etc. Although some attention is being given to the loss of lifelines as a determinant for disaster evacuation (Kailes & Enders, 2007), only a few works tried to identify the influence of the various technical networks on the households' decision in the face of disasters.…”

Section: Factors Influencing a Household's Decision To Evacuate In Thmentioning

confidence: 99%

“…Although some attention is being given to the loss of lifelines as a determinant for disaster evacuation (Kailes & Enders, 2007), only a few works tried to identify the influence of the various technical networks on the households' decision in the face of disasters. It has been found that power supply is one of the most vital technical networks, the failure of which can IDRiM (2020) 10 (2) ISSN: 2185-8322 DOI10.5595/001c.18160 greatly affect the well-being of households (Schultz et al, 2003;Reed et al, 2010;Nateghi et al, 2011;Chatterjee & Mozumder, 2015).…”

Section: Factors Influencing a Household's Decision To Evacuate In Thmentioning

confidence: 99%

Agent-based model for simulating households’ self-evacuation decision in high-rise buildings under critical infrastructure failures induced by a slow-onset flood conditions – A case study in Paris

et al. 2020

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Generating well-informed and reliable predictions for disaster evacuation is a large challenge. Crisis and disaster management policymakers have to deal with poor data quality, a limited understanding of households' behaviour dynamics, and uncertainty regarding the effects of the various actions/measures in place. Agent-based simulation models are frequently used to support decisions when planning disaster evacuation procedures. However, one of the most important aspects of this issue, which is social influence, is not often considered. Most of existing evacuation models largely overlook the importance of the households' behaviours and social influences, which leads to oversimplified models. Moreover, it is almost impossible to find models in the literature that focus on the extrinsic decision-making factors of some evacuees, such as compromised lifelines, in the case of catastrophic events. In contrast to the existing evacuation models, this paper suggests a probabilistic agent-based model that relies on the loss of different lifelines as factors affecting evacuees' decision-making in addition to some intrinsic factors that are used to characterise the propensity of households to evacuate and explicitly allow for social contagion as well as uncertainties to be considered. This model, in which all the variables are considered uncertain and Monte Carlo Simulations are run to estimate the confidence range of the predictions, is tailored to estimate the potential number of inhabitants that have not been evacuated in high-rise buildings in the face of critical infrastructure failures induced by a slow-onset flood and/or the actions taken during the related crisis, considering different uncertainties that may affect the reliability of the prediction. The model has been specifically designed to predict the dynamics of households' self-evacuations in fourteen residential high-rise buildings located in a flood-prone area in Paris. This paper

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Hurricane Wilma, utility disruption, and household wellbeing

Cited by 30 publications

References 39 publications

Infrastructure Disruptions: How Instability Breeds Household Vulnerability

Infrastructure Disruptions: How Instability Breeds Household Vulnerability

Research article: Household resilience to major slow kinetics floods: a prospective survey of the capacity to evacuate in high rise buildings in Paris

Agent-based model for simulating households’ self-evacuation decision in high-rise buildings under critical infrastructure failures induced by a slow-onset flood conditions – A case study in Paris

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