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In architecture, mitigation reduces the magnitude of climate change by reducing demand for resources; anticipatory adaptation improves performance against hazards; and planned adaptation creates policies and codes to support adaptation.

Adaptation prepares for a future with intensifying climate conditions. The built environment must prepare for challenges that may be encountered during the service life of the building, and reduce human exposure to hazards. Structures are responsible for about 39% of the primary energy consumption worldwide and 24% of the greenhouse gas emissions, significantly contributing to the causes of climate change. Measures to reduce demand in the initial construction and over the life cycle of the building operation directly impact the climate.

Improving performance against hazards requires a suite of modifications to counter specific threats. Adaptation measures may address higher temperatures, extreme precipitation, stormwater flooding, sea-level rise, hurricanes, drought, soil subsidence, wildfires, extended pest ranges, and multiple hazards. Because resources to meet every threat are inadequate, actions with low costs now which offer high benefits under a range of predicted future climates become high-priority solutions.

Disaster risk is also reduced by aligning policies for planning and construction with anticipated hazards. Climate adaptation policies based on the local effects of climate change are a new tool to communicate risk and share resources. Building codes establish minimum standards for construction, so incorporating adaptation strategies into codes ensures that the resulting structures will survive a range of uncertain futures.

Despite myriad descriptions and indicators used to define a fragile state, the international community has come to an agreement that a fragile state lacks the ability to maintain physical control of its territorial boundaries, provide basic public services, facilitate economic growth, and interact as a full member of the international community. Fragile states have historically experienced a disproportionate amount of natural disaster-related losses. For example, from 2005 to 2009, more than 50% of those impacted by a natural disaster lived in a fragile state, resulting in over $200 billion in losses. When natural disasters occur in such areas, they exacerbate already weak governance structures and further undermine their governments’ capability to respond to the crisis while simultaneously addressing challenges related to poverty and conflict. To remedy these and other complex issues inherent in fragile states, scholars are beginning to recognize the importance of investigating how fragile states can mitigate natural disaster losses through effective agency coordination and cross-sector collaboration. Agency coordination, in the context of natural disaster response, refers to the integration of facilities, equipment, personnel, and communication by public agencies for supporting incident response activities. Cross-sector collaboration refers to the sharing of information and resources by organizations in two or more sectors to achieve an outcome that cannot be produced by organizations in one sector alone. Because forecasts suggest that natural disaster-related losses will only increase in fragile states owing to population growth, urbanization, and climate change, there is a pressing need to understand the ways public organizations not only coordinate before, during, and after a natural disaster, but also how they collaborate across organizational sectors.

Agenda setting describes the process through which issues are selected for consideration by a decision-making body. Among the myriad of issues policymakers can consider, few are more vexing than natural hazards. By aggregating (or threatening to aggregate) death, destruction, and economic loss, natural hazards represent a serious and persistent threat to public safety. While citizens rightfully expect policymakers to protect them, many of the policy challenges associated natural hazards fail to reach the crowded government agenda. This article reviews the literature on agenda setting and natural hazards, including the strain between preparing for emerging hazards, on the one hand, and responding to existing disasters, on the other hand. It considers the extent to which natural hazards pose distinctive difficulties during the agenda-setting process, focusing specifically on the dynamics of issue identification, problem definition, venue shopping, and interest group mobilization in natural hazard domains. It closes by suggesting a number of future avenues of agenda-setting research.

The flooding of rivers and coastlines is the most frequent and damaging of all natural hazards. Between 1980 and 2016, total direct damages exceeded $1.6 trillion, and at least 225,000 people lost their lives. Recent events causing major economic losses include the 2011 river flooding in Thailand ($40 billion) and the 2013 coastal floods in the United States caused by Hurricane Sandy (over $50 billion). Flooding also triggers great humanitarian challenges. The 2015 Malawi floods were the worst in the country’s history and were followed by food shortage across large parts of the country.

Flood losses are increasing rapidly in some world regions, driven by economic development in floodplains and increases in the frequency of extreme precipitation events and global sea level due to climate change. The largest increase in flood losses is seen in low-income countries, where population growth is rapid and many cities are expanding quickly. At the same time, evidence shows that adaptation to flood risk is already happening, and a large proportion of losses can be contained successfully by effective risk management strategies. Such risk management strategies may include floodplain zoning, construction and maintenance of flood defenses, reforestation of land draining into rivers, and use of early warning systems.

To reduce risk effectively, it is important to know the location and impact of potential floods under current and future social and environmental conditions. In a risk assessment, models can be used to map the flow of water over land after an intense rainfall event or storm surge (the hazard). Modeled for many different potential events, this provides estimates of potential inundation depth in flood-prone areas. Such maps can be constructed for various scenarios of climate change based on specific changes in rainfall, temperature, and sea level.

To assess the impact of the modeled hazard (e.g., cost of damage or lives lost), the potential exposure (including buildings, population, and infrastructure) must be mapped using land-use and population density data and construction information. Population growth and urban expansion can be simulated by increasing the density or extent of the urban area in the model. The effects of floods on people and different types of buildings and infrastructure are determined using a vulnerability function. This indicates the damage expected to occur to a structure or group of people as a function of flood intensity (e.g., inundation depth and flow velocity).

Potential adaptation measures such as land-use change or new flood defenses can be included in the model in order to understand how effective they may be in reducing flood risk. This way, risk assessments can demonstrate the possible approaches available to policymakers to build a less risky future.

With current rapid growth of cities and the move toward the development of both sustainable and resilient infrastructure systems, it is vital for the structural engineering community to continue to improve their knowledge in earthquake engineering to limit infrastructure damage and the associated social and economic impacts. Historically, the development of such knowledge has been accomplished through the deployment of analytical simulations and experimental testing. Experimental testing is considered the most accurate tool by which local behavior of components or global response of systems can be assessed, assuming the test setup is realistically configured and the experiment is effectively executed. However, issues of scale, equipment capacity, and availability of research funding continue to hinder full-scale testing of complete structures. On the other hand, analytical simulation software is limited to solving specific type of problems and in many cases fail to capture complex behaviors, failure modes, and collapse of structural systems. Hybrid simulation has emerged as a potentially accurate and efficient tool for the evaluation of the response of large and complex structures under earthquake loading. In hybrid (experiment-analysis) simulation, part of a structural system is experimentally represented while the rest of the structure is numerically modeled. Typically, the most critical component is physically represented. By combining a physical specimen and a numerical model, the system-level behavior can be better quantified than modeling the entire system purely analytically or testing only a component. This article discusses the use of hybrid simulation as an effective tool for the seismic evaluation of structures. First, a chronicled development of hybrid simulation is presented with an overview of some of the previously conducted studies. Second, an overview of a hybrid simulation environment is provided. Finally, a hybrid simulation application example on the response of steel frames with semi-rigid connections under earthquake excitations is presented. The simulations included a full-scale physical specimen for the experimental module of a connection, and a 2D finite element model for the analytical module. It is demonstrated that hybrid simulation is a powerful tool for advanced assessment when used with appropriate analytical and experimental realizations of the components and that semi-rigid frames are a viable option in earthquake engineering applications.

Economic resilience, in its static form, refers to utilizing remaining resources efficiently to maintain functionality of a household, business, industry, or entire economy after a disaster strikes, and, in its dynamic form, to effectively investing in repair and reconstruction to promote accelerated recovery. As such, economic resilience is oriented to implementing various post-disaster actions (tactics) to reduce business interruption (BI), in contrast to pre-disaster actions such as mitigation that are primarily oriented to preventing property damage. A number of static resilience tactics have been shown to be effective (e.g., conserving scarce inputs, finding substitutes from within and from outside the region, using inventories, and relocating activity to branch plants/offices or other sites). Efforts to measure the effectiveness of the various tactics are relatively new and aim to translate these estimates into dollar benefits, which can be juxtaposed to estimates of dollar costs of implementing the tactics. A comprehensive benefit-cost analysis can assist public- and private sector decision makers in determining the best set of resilience tactics to form an overall resilience strategy.

Bureaucratic politics, discretion, and decision-making for natural hazards governance present an important challenge of the use of autonomous bureaucratic discretion in the absence of political accountability. Understanding how these factors influence discretion and policymaking is of critical importance for natural hazards because the extent to which bureaucrats are able to make decisions means that communities will be safer in the face of disaster. But the extent to which they are held accountable for their decisions has significant implications for public risk and safety. Bureaucrats are unelected and cannot be voted out of office.

There are two significant areas that remain regarding the use of bureaucratic discretion in natural hazards policy. One key area is to consider the increasing emphasis on networked disaster governance on bureaucratic discretion and decision-making. The conventional wisdom is that networks facilitate disaster management much better than command and control approaches. However, the extent to which the use of bureaucratic discretion is important in the implementation of natural hazard policy, particularly for mitigation and preparedness, remains an open area of research.

The other key area is the influence of bureaucratic discretion and decision-making when communities learn after a disaster. The political nature of disasters and the professional expertise of public service professionals imply that in order to make communities safer, bureaucrats will have to use discretion to push forward more aggressive mitigation and preparedness policies. Bureaucratic discretion would need to be used for both political and policy purposes in order to engage in policy learning after disasters that produces a substantive change.

European mountain regions are diverse, from gently rolling hills to high mountain areas, and from low populated rural areas to urban regions or from communities dependent on agricultural productions to hubs of tourist industry. Communities in European mountain regions are threatened by different hazard types: for example floods, landslides, or glacial hazards, mostly in a multi-hazard environment. Due to climate change and socioeconomic developments they are challenged by emerging and spatially as well as temporally highly dynamic risks. Consequently, over decades societies in European mountain ranges developed different hazard and risk management strategies on a national to local level, which are presented below focusing on the European Alps.

Until the late 19th century, the paradigm of hazard protection was related to engineering measures, mostly implemented in the catchments, and new authorities responsible for mitigation were founded. From the 19th century, more integrative strategies became prominent, becoming manifest in the 1960s with land-use management strategies targeted at a separation of hazardous areas and areas used for settlement and economic purpose. In research and in the application, the concept of hazard mitigation was step by step replaced by the concept of risk. The concept of risk includes three components (or drivers), apart from hazard analysis also the assessment and evaluation of exposure and vulnerability; thus, it addresses in the management of risk reduction all three components. These three drivers are all dynamic, while the concept of risk itself is thus far a static approach. The dynamic of risk drivers is a result of both climate change and socioeconomic change, leading through different combinations either to an increase or a decrease in risk. Consequently, natural hazard and risk management, defined since the 21st century using the complexity paradigm, should acknowledge such dynamics. Moreover, researchers from different disciplines as well as practitioners have to meet the challenges of sustainable development in the European mountains. Thus, they should consider the effects of dynamics in risk drivers (e.g., increasing exposure, increasing vulnerability, changes in magnitude, and frequency of hazard events), and possible effects on development areas. These challenges, furthermore, can be better met in the future by concepts of risk governance, including but not limited to improved land management strategies and adaptive risk management.

Climate change is one of the greatest threats to the security of water, food, and energy in Pakistan. Pakistan has seen increased visibility of direct and indirect impacts of climate change since the early 1990s. Pakistan’s government achieved a milestone in 2012 when the first National Climate Change Policy (NCCP) was proposed. In response to dynamic climate trends, it provided a broad set of adaptation measures for vulnerable sectors such as power, food, water, and health. In 2014, a more precise follow-up framework was developed which proposed strategies to achieve the objectives of the NCCP. The government is also cooperating with national and international organizations and societies to make vulnerable sectors and local communities resilient against water shortages, flash floods, cyclones, and temperature extremes. Analysis of the existing state of adaptation actions and systems exposes several deficiencies. There is a huge knowledge gap between researchers and policymakers which needs to be bridged. Stakeholders, local communities, and experts from relevant fields need to be involved in the process of policy making for the development of a comprehensive adaptation plan. Educational and research institutes in Pakistan are deficient in expertise and modern tools and technologies for predicting future climatic trends and the risks they pose to various sectors of the country. Lack of awareness in the general public, related to climate change and associated risks, is also an obstacle in developing climate-resilient communities. The government of Pakistan is giving due importance to the development of policies and capacity building of relevant implementing departments and research institutes. However, there is still a need for a strong enforcement body at the national, provincial, and municipal levels to successfully implement government strategies.

Throughout the world, major climate-related catastrophic events have devastated lives and livelihoods. These events are predicted to increase in frequency and intensity across the globe, as greenhouse gas emissions continue to accumulate in our atmosphere. The causes and consequences of these disasters are not constrained to geographic and political boundaries, or even temporal scales, increasing the complexity of their management. Differences in cultures, governance and policy processes often occur among jurisdictions in a transboundary setting, whether adjacent nations that are exposed to the same transboundary hazard or across municipalities located within the same political jurisdiction. Political institutions and processes may vary across jurisdictions in a region, presenting challenges to cooperation and coordination of risk management. With shifting climates, risks from climate-related natural hazards are in constant flux, increasing the difficulty of making predictions about and governing these risks. Further, different groups of individuals may be exposed to the same climate hazard, but that exposure may affect these groups in unique ways. Managing climate change as a transboundary natural hazard may mandate a shift from a focus on individual climate risks to developing capacity to encourage learning from and adaptation to a diversity of climatic risks that span boundaries. Potential barriers to adaptation to climate risks must not be considered individually but rather as a part of a more dynamic system in which multiple barriers may interact, impeding effective management. Greater coordination horizontally, for example through networks linking cities, and vertically, across multiple levels of governance (e.g., local, regional, national, global), may aid in the development of increased capacity to deal with these transboundary risks. Greater public engagement in management of risks from climate change hazards, both in risk mitigation and post-hazard recovery, could increase local-level capacity to adapt to these hazards.

Flood losses in the United States have increased dramatically over the course of the past century, averaging US$7.96 billion in damages per year for the 30-year period ranging from 1985 to 2014. In terms of human fatalities, floods are the second largest weather-related hazard in the United States, causing approximately 80 deaths per year over the same period. Given the wide-reaching impacts of flooding across the United States, the evaluation of flood-generating mechanisms and of the drivers of changing flood hazard are two areas of active research.

Flood frequency analysis has traditionally been based on statistical analyses of the observed flood distributions that rarely distinguish among physical flood-generating processes. However, recent scientific advances have shown that flood frequency distributions are often characterized by “mixed populations” arising from multiple flood-generating mechanisms, which can be challenging to disentangle. Flood events can be driven by a variety of physical mechanisms, including rain and snowmelt, frontal systems, monsoons, intense tropical cyclones, and more generic cyclonic storms.

Temporal changes in the frequency and magnitude of flooding have also been the subject of a large body of work in recent decades. The science has moved from a focus on the detection of trends and shifts in flood peak distributions towards the attribution of these changes, with particular emphasis on climatic and anthropogenic factors, including urbanization and changes in agricultural practices. A better understanding of these temporal changes in flood peak distributions, as well as of the physical flood-generating mechanisms, will enable us to move forward with the estimation of future flood design values in the context of both climatic and anthropogenic change.

While known to be important and essential for improved effectiveness and efficiency, cross-sector coordination and collaboration among different actors engaged in postdisaster recovery is fraught with complications. Among the challenges are (a) who leads, and how; (b) the capacity and roles of the host government; (c) governance structures within organizations (which may differ a great deal); (d) assumptions of power; (e) the trade-off between valuing relationships and “getting the job done”; and (f) the varying constraints (and opportunities) of accountability. Recognizing the need to improve joint actions for a better response, the Humanitarian Reform Agenda (HRA), begun in 2005, led to the remolding of collective models of disaster response and the adoption of the global cluster system, which is essentially organized around the delivery of goods and services (sectors) by traditional aid actors such as the United Nations (UN), nongovernmental organizations (NGOs), and the International Red Cross and Red Crescent Movement. While the cluster system has largely been acknowledged as an improvement in collaboration among actors, a perennial challenge of cross-sector coordination remains. One of the opportunities for improvement lies in better and more predictable leadership, one of the key areas identified by the HRA. Another opportunity lies in changing the focus from a supply-driven approach of prioritizing what aid providers deliver to a demand-driven understanding, such as that offered by area-based approaches, wherein sectors are more closely aligned.

A common form of collaboration within aid is partnership between various actors (e.g., the United Nations or NGOs). Partnerships assume more than a constructing relationship: Effective partnerships emphasize the need for transparency and equity, along with being results-oriented and competent. Recognizing this, the Grand Bargain, resulting from the World Humanitarian Summit, noted that aid providers should engage with local and national responders in a spirit of partnership and aim to reinforce rather than replace local and national capacities.

Partnerships, however, fall short all too often, especially when one partner has power over the other, which is often the case. The report Time to Let Go, by the Overseas Development Institute (ODI), notes, for instance, that “the relationships between donor and implementer, aid provider and recipient, remain controlling and asymmetrical, and partnerships and interactions remain transactional and competitive, rather than reciprocal and collective.” The challenge remains to achieve the task at hand, while at the same time engaging in effective collaborative mechanisms that value the nature of the relationship. If this is not achieved, effective postdisaster recovery can be jeopardized.

This article considers how corruption affects the management of disaster mitigation, relief, and recovery. Corruption is a very serious and pervasive issue that affects all countries and many operations related to disasters, yet it has not been studied to the degree that it merits. This is because it is difficult to define, hard to measure and difficult to separate from other issues, such as excessive political influence and economic mismanagement. Not all corruption is illegal, and not all of that which is against the law is vigorously pursued by law enforcement. In essence, corruption subverts public resources for private gain, to the damage of the body politic and people at large. It is often associated with political violence and authoritarianism and is a highly exploitative phenomenon. Corruption knows no boundaries of social class or economic status. It tends to be greatest where there are strong juxtapositions of extreme wealth and poverty.

Corruption is intimately bound up with the armaments trade. The relationship between arms supply and humanitarian assistance and support for democracy is complex and difficult to decipher. So is the relationship between disasters and organized crime. In both cases, disasters are seen as opportunities for corruption and potentially massive gains, achieved amid the fear, suffering, and disruption of the aftermath. In humanitarian emergencies, black markets can thrive, which, although they support people by providing basic incomes, do nothing to reduce disaster risk. In counties in which the informal sector is very large, there are few, and perhaps insufficient, controls on corruption in business and economic affairs.

Corruption is a major factor in weakening efforts to bring the problem of disasters under control. The solution is to reduce its impact by ensuring that transactions connected with disasters are transparent, ethically justifiable, and in line with what the affected population wants and needs. In this respect, the phenomenon is bound up with fundamental human rights. Denial or restriction of such rights can reduce a person’s access to information and freedom to act in favor of disaster reduction. Corruption can exacerbate such situations. Yet disasters often reveal the effects of corruption, for example, in the collapse of buildings that were not built to established safety codes.

Debris flows are one of the most destructive landslide processes worldwide, given their ubiquity in mountainous areas occupied by human settlement or industrial facilities around the world. Given the episodic nature of debris flows, these hazards are often un- or under-recognized.

Three fundamental components of debris-flow risk assessments include frequency-magnitude analysis, numerical scenario modeling, and consequence analysis to estimate the severity of damage and loss. Recent advances in frequency-magnitude analysis take advantage of developments in methods to estimate the age of deposits and size of past and potential future events. Notwithstanding, creating reliable frequency-magnitude relationships is often challenged by practical limitations to investigate and statistically analyze past debris-flow events that are often discontinuous, as well as temporally and spatially censored. To estimate flow runout and destructive potential, several models are used worldwide. Simple empirical models have been developed based on statistical geometric correlations, and two-dimensional and three-dimensional numerical models are commercially available. Quantitative risk assessment (QRA) methods for assessing public safety were developed for the nuclear industry in the 1970s and have been applied to landslide risk in Hong Kong starting in 1998. Debris-flow risk analyses estimate the likelihood of a variety of consequences. Quantitative approaches involve prediction of the annual probability of loss of life to individuals or groups and estimates of annualized economic losses. Recent progress in quantitative debris-flow risk analyses include improved methods to characterize elements at risk within a GIS environment and estimates of their vulnerability to impact. Improvements have also been made in how these risks are communicated to decision makers and stakeholders, including graphic display on conventional and interactive online maps. Substantial limitations remain, including the practical impossibility of estimating every direct and indirect risk associated with debris flows and a shortage of data to estimate vulnerabilities to debris-flow impact. Despite these limitations, quantitative debris-flow risk assessment is becoming a preferred framework for decision makers in some jurisdictions, to compare risks to defined risk tolerance thresholds, support decisions to reduce risk, and quantify the residual risk remaining following implementation of risk reduction measures.

As an urbanized river-dominated delta, New Orleans, Louisiana, ranks among the most experimental of cities, a test of whether the needs of a stable human settlement can coexist with the fluidity of a deltaic environment—and what happens when they do not.

That natural environment bestowed upon New Orleans numerous advantages, among them abundant fresh water, fertile soils, productive wetlands and, above all, expedient passage between maritime and continental realms. But with those advantages came exposure to potential hazards—an overflowing Mississippi River, a tempestuous Gulf of Mexico, sinking soils, eroding coasts, rising seas, biotic invasion, pestilence, political and racial discord, conflagration—made all the worse by the high levels of social vulnerability borne by all too many members of New Orleans’ population. More so than any other major metropolis on the North American continent, this history of disaster and response is about the future of New Orleans as much as it is about the past.

This article examines two dozen disasters of various types and scales, with origins oftentimes traceable to anthropogenic manipulation of the natural environment, and assesses the nature of New Orleans’ responses. It frames these assessments in the “risk triangle” framework offered by David Crichton and other researchers, which views urban risk as a function of hazard, exposure, and vulnerability. “Hazard” implies the disastrous event or trauma itself; “exposure” means human proximity to the hazard, usually in the form of settlement patterns, and “vulnerability” indicates individuals’ and communities’ ability to respond resiliently and adaptively—which itself is a function of education, income, age, race, language, social capital, and other factors—after having been exposed to a hazard.

Large-scale displacement takes place in the context of disaster because the threat or occurrence of hazard onset makes the region of residence of a population uninhabitable, either temporarily or permanently. Contributing to that outcome, the wide array of disaster events is invariably complicated by human institutions and practices that can contribute to large-scale population displacements. Growing trends of socially driven exposure and vulnerability around the world as well as the global intensification and frequency of climate-related hazards have increased both the incidence and the likelihood of large-scale population dislocations in the near future. However, legally binding international and national accords and conventions have not yet been put in place to deal with the serious impacts, and material, health-related, and sociocultural losses and human rights violations that are experienced by the millions of people being swept up in the events and processes of disasters and mass population displacements. Effective policy development is challenged by the increasing complexity of disaster risk and occurrence as well as issues of causation, adequate information, lack of capacity, and legal responsibility. States, international organizations, state and international development and aid agencies must frame, define, and categorize appropriately disaster forced displacement and resettlement to influence effective institutional responses in emergency humanitarian assistance, transitional shelter and care, and durable solutions in managing migration and resettlement if return is not possible. The forms that disaster-associated forced displacements are projected to take and corresponding national responses are explored in the Indian Ocean tsunami of 2004 in Sri Lanka, a massive disaster in a nation riven by civil conflict; Hurricane Katrina of 2005 in the United States, where the scale and nature of displacement bore little relation to hazard intensity; and the 2011 Great East Japan Earthquake, Tsunami, and nuclear exposure incident exemplifying the emerging trend of complex, concatenating, multihazard disasters that bring about large-scale population displacements.