Abstract:Abstract. In a cross-discipline study, we carried out an extensive literature review to increase understanding of vulnerability indicators used in both earthquake- and flood vulnerability assessments. We provide insights into potential improvements in both fields by identifying and comparing quantitative vulnerability indicators. Indicators have been categorised into physical- and social categories, and then, where possible, further subdivided into measurable and comparable indicators. Next, a selection of ind… Show more
“…Flood and earthquake vulnerability are commonly quantified using vulnerability curves that link a hazard factor (e.g., inundation or ground shaking) to damage potential (De Ruiter et al., 2017). For floods, this damage potential is often referred to as the damage factor (i.e., the percentage of the building damaged) and spans from zero (no damage) to one (maximum damage; Huizinga et al., 2017) and for earthquakes as the damage ratio (i.e., the ratio of the repair cost of the building to construction cost; Daniell, 2014).…”
Section: Methodsmentioning
confidence: 99%
“…For floods, this damage potential is often referred to as the damage factor (i.e., the percentage of the building damaged) and spans from zero (no damage) to one (maximum damage; Huizinga et al., 2017) and for earthquakes as the damage ratio (i.e., the ratio of the repair cost of the building to construction cost; Daniell, 2014). While earthquake vulnerability curves tend to be designed based on building materials, flood vulnerability curves are commonly designed based on aggregated land‐use classes (e.g., residential, commercial, industrial), which do not account for heterogeneity of the building stock (De Ruiter et al., 2017; Englhardt et al., 2019). To the best of our knowledge, there exist no flood and earthquake building‐material based vulnerability curves specific to the Afghanistan building stock.…”
Section: Methodsmentioning
confidence: 99%
“…Similarly, building‐level flood DRR measures are often designed based on base flood elevation (BFE; Freeman & Kunreuther, 2002). It is important to note that earthquake risk assessments more commonly account for the vulnerability posed by such building attributes compared to flood risk assessments (De Ruiter et al., 2017; Douglas, 2007). Based on the characteristics of residential buildings in Afghanistan, we focus on wall material and building height related DRR measures.…”
Section: Asynergies Of Building‐level Drr Measuresmentioning
Traditionally, building-level risk reduction measures aim to address the risk of a single hazard type, for instance, through building codes (Cutter et al., 2015; Daniell, 2015; Shreve & Kelman, 2014). However, many countries face the risk of multiple disasters (Cutter et al., 2015; De Ruiter et al., 2020). Floods and earthquakes are often the hazard types with the highest economic damages, especially in developing countries (Zorn, 2018), and their damages are likely to continue to increase in the future (Bilham, 2009; Cutter et al., 2015; Winsemius et al., 2016). The increase in the damages in the future is due to both a projected increase in the frequency of (climate-driven) hazards (in the case of floods), and also due to increasing exposure in vulnerable areas (Balica et al., 2015). This is expected to continue in the future, with projections estimating that the world's population will have doubled between 1950 and 2050, which requires the construction of an additional 1 billion housing units (Bilham, 2009). Moreover, social inequalities cause developing countries and the poor to suffer disproportionally from the impacts of natural hazards (
“…Flood and earthquake vulnerability are commonly quantified using vulnerability curves that link a hazard factor (e.g., inundation or ground shaking) to damage potential (De Ruiter et al., 2017). For floods, this damage potential is often referred to as the damage factor (i.e., the percentage of the building damaged) and spans from zero (no damage) to one (maximum damage; Huizinga et al., 2017) and for earthquakes as the damage ratio (i.e., the ratio of the repair cost of the building to construction cost; Daniell, 2014).…”
Section: Methodsmentioning
confidence: 99%
“…For floods, this damage potential is often referred to as the damage factor (i.e., the percentage of the building damaged) and spans from zero (no damage) to one (maximum damage; Huizinga et al., 2017) and for earthquakes as the damage ratio (i.e., the ratio of the repair cost of the building to construction cost; Daniell, 2014). While earthquake vulnerability curves tend to be designed based on building materials, flood vulnerability curves are commonly designed based on aggregated land‐use classes (e.g., residential, commercial, industrial), which do not account for heterogeneity of the building stock (De Ruiter et al., 2017; Englhardt et al., 2019). To the best of our knowledge, there exist no flood and earthquake building‐material based vulnerability curves specific to the Afghanistan building stock.…”
Section: Methodsmentioning
confidence: 99%
“…Similarly, building‐level flood DRR measures are often designed based on base flood elevation (BFE; Freeman & Kunreuther, 2002). It is important to note that earthquake risk assessments more commonly account for the vulnerability posed by such building attributes compared to flood risk assessments (De Ruiter et al., 2017; Douglas, 2007). Based on the characteristics of residential buildings in Afghanistan, we focus on wall material and building height related DRR measures.…”
Section: Asynergies Of Building‐level Drr Measuresmentioning
Traditionally, building-level risk reduction measures aim to address the risk of a single hazard type, for instance, through building codes (Cutter et al., 2015; Daniell, 2015; Shreve & Kelman, 2014). However, many countries face the risk of multiple disasters (Cutter et al., 2015; De Ruiter et al., 2020). Floods and earthquakes are often the hazard types with the highest economic damages, especially in developing countries (Zorn, 2018), and their damages are likely to continue to increase in the future (Bilham, 2009; Cutter et al., 2015; Winsemius et al., 2016). The increase in the damages in the future is due to both a projected increase in the frequency of (climate-driven) hazards (in the case of floods), and also due to increasing exposure in vulnerable areas (Balica et al., 2015). This is expected to continue in the future, with projections estimating that the world's population will have doubled between 1950 and 2050, which requires the construction of an additional 1 billion housing units (Bilham, 2009). Moreover, social inequalities cause developing countries and the poor to suffer disproportionally from the impacts of natural hazards (
“…This challenge stems in large part from hazards typically being studied in a monodisciplinary fashion (Cutter et al, ; Kappes et al, ; Peduzzi, ). The thematic clustering separating the disciplines causes a lack of understanding between different disciplines due to terminology differences (De Ruiter et al, ; Marzocchi et al, ). For example, tropical cyclones and earthquakes are independent and distinctly different disasters, stemming from different hazard groups (atmospheric and geophysical respectively) and their impacts occur at very different temporal and spatial scales (Gill & Malamud, ).…”
In recent decades, a striking number of countries have suffered from consecutive disasters: events whose impacts overlap both spatially and temporally, while recovery is still under way. The risk of consecutive disasters will increase due to growing exposure, the interconnectedness of human society, and the increased frequency and intensity of nontectonic hazard. This paper provides an overview of the different types of consecutive disasters, their causes, and impacts. The impacts can be distinctly different from disasters occurring in isolation (both spatially and temporally) from other disasters, noting that full isolation never occurs. We use existing empirical disaster databases to show the global probabilistic occurrence for selected hazard types. Current state‐of‐the art risk assessment models and their outputs do not allow for a thorough representation and analysis of consecutive disasters. This is mainly due to the many challenges that are introduced by addressing and combining hazards of different nature, and accounting for their interactions and dynamics. Disaster risk management needs to be more holistic and codesigned between researchers, policy makers, first responders, and companies.
“…For example, these indicators include susceptibility to environmental events and hazards (Atkins et al, 2001), physical susceptibility (Cardona, 2005), event characteristics (such as frequency, duration and intensity) and antecedent conditions, including natural systems and built environment (Cutter et al, 2008). Other indicators used to assess the environmental vulnerability include infrastructure and lifeline indicators and building structural and occupancy indicators (de Ruiter et al, 2017). Considering that a broad range of issues falls under the umbrella of 'environmental' factors, including features of the disaster event itself, the physical protection measures available and the nature of the built and natural environment all significantly affect the vulnerability of a place to a particular disaster.…”
is a Chartered Psychologist (C Psychol), accredited by the British Psychological Society with research and teaching expertise in the field of neuropsychology, social, cognitive, marketing psychology, neuroscience and psychiatry. Research specialising in cognitive neuropsychology, neuroimaging, cultural psychology (disaster management) and mental health. Industry experience in neuromarketing and digital marketing technology. Dr Wedawatta conducts his research on issues related to disaster resilience and the built environment. His research interests include extreme weather events and construction SMEs, flood adaptation in the built environment, and resilience of SMEs.
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