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Conceptualizing development in terms of risk management has become a prominent feature of mainstream development discourse. This has led to a convergence between the rubrics of financial inclusion and risk management whereby improved access for poor households to private sector credit, insurance and savings products is represented as a necessary step toward building “resilience.” This convergence, however, is notable for a shallow understanding of the production and distribution of risks. By naturalizing risk as an inevitable product of complex systems, the approach fails to interrogate how risk is produced and displaced unevenly between social groups. Ignoring the structural and relational dimensions of risk production leads to an overly technical approach to risk management that is willfully blind to the intersection of risk and social power. A case study of the promotion of index-based livestock insurance in Mongolia – held as a model for innovative risk management via financial inclusion – is used to indicate the tensions and contradictions of this projected synthesis of development and risk management.

Will Florida’s agriculture adapt to climate change? Climate disruptions to agriculture and natural resources in Florida are projected to increase in the future. These impacts will be increasingly negative because critical thresholds are being exceeded. This chapter discusses how Florida’s agriculture and natural resources may be affected by climate change in the coming decades.

Agriculture will be affected by invasive alien species, sea-level-rise flooding, and storm surges. A warmer, drier climate will place agriculture in competition with other users for limited water resources. A serious concern for agriculture is that rising sea level will cause coastal groundwater to become more saline and groundwater levels to rise. The loss of coastal wetlands increases the risk of catastrophic damage due to extreme weather events. Degradation of soil and water assets due to increasing extremes in precipitation will challenge both rainfed and irrigated agriculture without the implementation of innovative conservation methods. High night-time temperatures can reduce grain yields and animal-sourced production. Climate change also increases the vulnerability of forests to ecosystem changes due to decreased soil moisture and increased evapotranspiration. The practical implications are that increased innovation will be needed to ensure the adaptation of agriculture and the associated socioeconomic system can keep pace with climate change. Given the difficulties in predicting our future climate, we must develop new risk-transfer innovations that will facilitate damage recovery. Changes in agricultural yields and food prices could have important implications for food security.

Climate change was identified as an urgent global problem that requires governments to unite their efforts to prepare for potential climate risks at the First World Climate Conference in 1979. This recognition led to the establishment of the Intergovernmental Panel on Climate Change (IPCC) in 1988 to assess the magnitude and timing of changes and estimate their impacts. The IPCC published its First Assessment Report in 1990, which became a basis for negotiations on a climate change convention under the United Nations General Assembly. Between February 1991 and May 1992, the Intergovernmental Negotiating Committee for a Framework Convention on Climate Change met five times under the auspices of the General Assembly, and the Convention text was adopted on May 9, 1992 at the United Nations Conference on Environment and Development, held in Rio de Janeiro, Brazil, where 154 states signed. The Convention entered into force on March 21, 1994. It has near universal membership with 194 Parties (member countries) having ratified (UNFCCC, 2006).

Purpose – This chapter provides details of research that attempts to relate traffic operational conditions on uninterrupted flow facilities (e.g., freeways and expressways) with real-time crash likelihood. Unlike incident detection, the purpose of this line of work is to proactively assess crash likelihood and potentially reduce the likelihood through proactive traffic management techniques, including variable speed limit and ramp metering among others.

Methodology – The chapter distinguishes between the traditional aggregate crash frequency-based approach to safety evaluation and the approach needed for real-time crash risk estimation. Key references from the literature are summarised in terms of the reported effect of different traffic characteristics that can be derived in near real-time, including average speed, temporal variation in speed, volume and lane-occupancy, on crash occurrence.

Findings – Traffic and weather parameters are among the real-time crash-contributing factors. Among the most significant traffic parameters is speed particularly in the form of coefficient of variation of speed.

Research implications – In the traffic safety field, traditional data sources are infrastructure-based traffic detection systems. In the future, if automatic traffic detection systems could provide reliable data at the vehicle level, new variables such as headway could be introduced. Transferability of real-time crash prediction models is also of interest. Also, the potential effects of different management strategies to reduce real-time crash risk could be evaluated in a simulation environment.

Practical implications – This line of research has been at the forefront of bringing data mining and other machine-learning techniques into the traffic management arena. We expect these analysis techniques to play a more important role in real-time traffic management, not just for safety evaluation but also for congestion pricing and alternate routing.

According to the most recent report from the Intergovernmental Panel on Climate Change (Intergovernmental Panel on Climate Change [IPCC], 2007), 11 out of the last 12 years have been the hottest on record since 1850. It is also estimated that the average global surface temperature from 1850–1899 to 2001–2005 has increased by 0.76°C. Global sea level increased at an average rate of 1.8mm per year over the period 1961–2003 and, over the 20th century, sea levels rose by 0.17m. Since the middle of 20th century, human activities have contributed to global warming, a phenomenon that is expected to continue at an increasingly faster rate in the 21st century if there is no effort to address it.

Globalisation is under significant threat due to the climate of uncertainty and conflicting trends caused by the new challenges of climate change impact further multiplied by the COVID-19 pandemic. Disaster risk reduction (DRR) effort is directly affected by finding new ways and strategies. World’s international cooperation, technology and knowledge transfer between countries are seriously affected and are directly impacting sustainability and even human survival. Global DRR strategy is struggling to face the unprecedented challenges brought by climate change and now COVID-19 pandemic has multiplied the uncertain climate. In this environment, some new emerging challenges are in the world healthcare systems, nutrition for millions of marginalised populations, working style, sustainable supply chain, even reducing anarchy governance, fear of being unsafe and changing beliefs and confidence of people in the system. In this environment, the pressing question is how DRR strategy can reposition and find better methods to deliver, globally, nationally and locally. The chapter focusses on the new emerging issues in the DRR strategy that the scientific community ought to address.

South Asia, home to one-fifth of humanity, perennially has been a disaster-prone region. In 2007, for instance, the Centre for Research on the Epidemiology of Disasters (CRED) reported that out of the top five countries in the world hit hardest by natural disasters, the first two were Bangladesh and India, while Pakistan occupied the fourth position (CRED Crunch, 2008). This was not an exceptional year but generally has been the trend, which highlights the comparative vulnerability of the region to disasters. Two-thirds of the disasters the region experiences are climate related and there have been phenomenal increases in their frequency, severity, and unpredictability in recent times. The severest impacts have been in terms of sea-level rise leading to submergence of low-lying coastal areas and depletion of Himalayan glaciers, threatening the perennial rivers that sustain the food, water, energy, and environmental security of the region. Climate change is surely creating grounds for newer and more severe risks of disasters in the region in the coming years.

Drawing on the results of the previous chapters, this chapter looks at current progress in terms of climate disaster risk incorporation into development planning and practice at three levels (national government, municipalities, and communities) and analyzes gaps, challenges, and opportunities. The chapter also discusses potential factors for enhancing local disaster risk management (DRM) capacity by collaborating with three levels of stakeholders.