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This chapter proposes the socioeconomic metabolism (SEM) and multilevel perspective (MLP) as “novel” conceptual and practical models that island policy makers can apply to analyzing the transitioning from the current island tourism to sustainable island tourism. Pandemics, such as COVID-19 and climate-related disasters pose risks that highlight a need for restructuring the dominant “sun, sea, and sand” and mass tourism, with excessive resort buildup on the coasts. These crises and disasters constantly disrupt island tourism, exacerbating the already volatile nature of the tourism industry, especially in the Caribbean. Therefore, the SEM which grounds an understanding of how the island system functions, coupled with the MLP that explains sustainability transitions, are proffered as an alternative and systematic approach to restructuring island tourism. In this regard, the models are analyzed for their application to the tourism accommodation subsector. The chapter concludes with the relevance of the models to policy makers and demonstrates how their application can minimize the risks posed by disasters and pandemics to materials and energy flows in the accommodation sector and eventually lead to sustainable island tourism.

This paper offers a critical review of climate change related initiatives in small island states, including Small Island Developing States (SIDS), which can end up as ontological traps: fuelled and supported by external donor agencies, thwarting out-migration and shifting scarce and finite resources away from other, shorter-term and locally spawned development trajectories and objectives.

This paper is based on a selective literature review. It clusters important themes found in published research and policy documents.

The results identify a burgeoning critical voice in regards to resilience and its legitimation of climate change driven projects in SIDS. This paper recommends a more nuanced approach which also privileges migration.

This paper provided a critical overview and synthesis of the immobility implicit in much climate change related work, through the critical lens of island studies and post-colonial studies.

The increasing frequency and intensity of the extreme weather events could cause devastating consequences in tourism. Climate change–related extreme weather events and their relation to tourism is an emerging field for education and research. The purpose of this study is to categorize the impact of climate change on tourist destinations with regard to extreme weather-related risks in outdoor recreation and tourism. Managerial implications for policymakers and stakeholders are discussed.

To outline the risks from climate change associated with tourism, this study uses the Prisma analysis for identification, screening, checking for eligibility and finding relevant literature for further categorization.

Based on a thoroughly examination of relevant literature, risks and threats posed by climate change could be categorized into following four areas: reduced experiential value in outdoor winter recreation; reduced value in beach scenery and comfort; land degradation and reduced biodiversity; and reduced value in personal safety and comfort in tourism. It also focuses on the significance of using big data applications in catastrophic disaster management and risk reduction. Recommendations with technology and data analytics to continuously improve the disaster management process in tourism education are provided based on findings of this study.

Primary contributions of this study include the following: providing a summarized overview of the risks associated with climate change in terms of tourist experiential value for educational implications; and revealing the role of data analytics in disaster management in the context of tourism and climate change for tourism education.