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Since independence, Malaysia has generally registered continuous economic growth and this development has brought about numerous benefits including improved social amenities and a trend toward greater urbanization of the population. Economic development in Malaysia has contributed to environmental degradation and uncontrolled physical development, especially in the urban areas. Protection of the environment has become a necessity rather than a luxury in order to maintain public health and well-being as well as to sustain the economic growth. As in most developing countries, there are many challenges facing the country, especially so in urban areas, where the human, physicochemical and biological environments are interlinked (Pereira & Komoo, 2004). One major challenge is the increasing occurrence of geological and flood-related disasters, causing property damage and high cost of maintenance as well as loss of lives, in extreme cases. In part, this is a manifestation of poor planning, and many of the problems related to hazards in urban areas are often exacerbated by human activities.

As national governments and international organizations strive to combat climate change and limit greenhouse gas emissions, the energy transition is at the center of the global agenda. Sustainable Development Goal (SDG) 7 of the UN 2030 Agenda calls for affordable, reliable, sustainable, and modern energy for all, but there is ample ambiguity on what is to be considered “sustainable” as opposed to “renewable.” This chapter discusses the role of nuclear power in this context, and more specifically the thorny issue of nuclear waste: unless a sustainable strategy for the disposal of nuclear waste is found, the inclusion of nuclear power as a legitimate recipient of Green Deal and other aid will be contested. The cases of Italy, Germany, and France are discussed, showing how these countries have struggled over decades to solve the “wicked problem” of nuclear waste and have dealt with conflict through different mixes of stakeholder engagement, procrastination, or use of scientific expertise for legitimation.

Through the comparative analysis of the three cases, conclusions are drawn on relevant factors that contribute to the policy capacity needed to tackle complex, integrated, super-wicked problems of sustainability policy: issues of problem definition, multilevel coordination, time management, and the engagement of community and science are described and identified as critical.

Using the case of the Deepwater Horizon blowout in the Gulf of Mexico in 2010, I argue that the catastrophe was less an example of a low probability-high catastrophe event than an instance of socially produced risks and insecurities associated with deepwater oil and gas production during the neoliberal period after 1980. The disaster exposes the deadly intersection of the aggressive enclosure of a new technologically risky resource frontier (the deepwater continental shelf) with what I call a frontier of neoliberalized risk, a lethal product of cut-throat corporate cost-cutting, the collapse of government oversight and regulatory authority and the deepening financialization and securitization of the oil market. These two local pockets of socially produced risk and wrecklessness have come to exceed the capabilities of what passes as risk management and energy security. In this sense, the Deepwater Horizon disaster was produced by a set of structural conditions, a sort of rogue capitalism, not unlike those which precipitated the financial meltdown of 2008. The forms of accumulation unleashed in the Gulf of Mexico over three decades rendered a high-risk enterprise yet more risky, all the while accumulating insecurities and radical uncertainties which made the likelihood of a Deepwater Horizon type disaster highly overdetermined.

The evolution of tourism must be framed into policies that aim a development model perspective for the destinations, based on the analysis of economic, political, and social indicators. Therefore, emerging destinations, located in territories with low population density, should be a target of a careful strategy policy, considering the characteristics of the region. In particular, the disaster caused by the pandemic context (i.e., COVID-19) implied profound changes in tourism thinking, planning, and development of regions in Portugal and throughout the world. The present chapter proposes the creation of a tourism monitoring system for Arouca (Portugal), a territory classified as Low-Density Territory, with specific characteristics. The monitoring will involve the planning and management of database, at the disposal of all stakeholders, ensuring that the tourism flows in analysis do not get overwhelmed, allowing the discussion of opportunities and threats for the territory, based on the partnership between the population, public and private sector, adjusted to the social, cultural, economic, and environment perception. Will also be considered the perspective of the local community from Arouca's region, the main actors from the territory such as Geopark Association of Arouca and the City Council, according to the surveys used as data basis of this study, along with statistics analysis.

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.