Sea-level rise is one of the most certain impacts of climate change that will have major long-term implications for tourism in the Caribbean. Sea-level rise will impact coastal tourism through inundation and erosion, damage to tourism infrastructure, (e.g., hotels/resorts, transportation) and also essential coastal resources (e.g., beaches and coral reefs). The study examines the implications of projected scenarios of sea-level rise for tourism in St. Lucia. Using geospatial analysis that integrates elevation data from satellites and digitized locations of tourism properties, transportation infrastructure (airports and cruise ports) and areas that have been zoned for future tourism development, this study identifies tourism assets that would be at risk to permanent inundation from a 1 m sea-level rise, flooding from storm surge associated with a 1/25 year storm event under 1 m sea-level rise, and exacerbated erosion associated with 1 m sea-level rise. The results indicate that while 1 m of sea-level rise would cause permanent inundation at only 4% of the 73 tourism properties assessed (impacting 7% of 4947 of rooms on the island), the additional exposure to storm surge and waves under a 1/25 year storm event would cause flooding damages at 30% of 73 tourism properties impacting 54% of rooms on the island. This study also found that erosion associated with 1 m of sea-level rise would impact 100% of the coastal resorts with inventoried beach assets. The study uses Google Earth and field observations to examine the potential of inland retreat as an adaptation strategy for coastal tourism resorts. Results indicate that 24 of 37 coastal tourism properties assessed would be unable to retreat due to current development or physical barriers, (e.g., water surfaces, protected areas). The study reviewed 16 national policies and planning documents to examine to what extent sea-level rise was considered in tourism planning and development, and found that only two policy documents referred to sea-level rise within the context of tourism. The thesis concludes with a discussion of additional research needs and recommendations for long-term planning and decision-making that are aimed at improving tourism adaptation to climate change and sea-level rise in St. Lucia.

Tourism is one of the largest economic sectors globally. It is a climate sensitive sector, with climate being one of the most important attributes for a destination. The Tourism Climate Index (TCI), developed by Mieczkowski (1985), is the most widely used index for assessing a destination’s climatic suitability for general tourist activities. Major deficiencies such as the subjectivity of its rating system and component weightings have been identified in the literature, and the need to develop a new index has been identified by researchers for almost a decade. This study aims to fill the research gap by developing a new index, the Holiday Climate Index (HCI), for the purpose of overcoming the deficiencies of the TCI. The HCI was compared with the TCI in rating both current (1961-1990) and future (2010-2039, 2040-2069 and 2070-2099) climatic suitability for tourism of the 15 most visited European city destinations (London, Paris, Istanbul, Rome, Barcelona, Dublin, Amsterdam, Vienna, Madrid, Berlin, Stockholm, Warsaw, Munich, Athens and Venice). The results were also compared with monthly visitation data available for Paris to assess whether the HCI ratings more accurately represent visitation demand than the TCI. The results show that there are key differences between the HCI and TCI in rating the tourism climate suitability of the selected European city destinations, in particular in the winter months of the northern, western and eastern European city destinations where the performance of the TCI had been questioned in the literature. The comparison with leisure tourist visitation data in Paris also revealed that the ratings of the HCI were more reflective of seasonal pattern of tourist arrivals than the TCI ratings. Because the TCI has been widely applied (15 studies), these findings hold important implications for future research in assessing current and future climatic suitability for tourism.

Adopting green energy initiatives is deemed significant in reducing the carbon footprint of the hotel industry. In general, energy-efficient and renewable energy technologies offer wide applications in the hotel industry. The adoption of these technologies improves energy performance and reduces dependence on fossil fuels. Hotel organizational commitment towards sustainability is highly inconsistent across the industry. Essentially, this industry represents a continuum of adopters; some hotels are leaders who proactively adopt innovative and state-of- the-art technologies, while others adopt only basic practices, such as reusing towels. There exist several challenges to shifting hotel organizations toward implementing green energy measures. Sharing best practices and learned lessons is essential to convince less committed hotel organizations to take action. Along with sharing information, it is important to identify similarities and differences in decision-making on green energy measures in both committed and less committed hotels. This study explores factors affecting decision-making on green energy measures in the hotel industry. In particular, it examines the business case for these measures and identifies challenges that prevent hotel managers from taking action. The study findings suggest that similarities and differences among best practice and other hotels are related to the approaches taken in decision-making by hotel managers in the adoption of green energy measures in terms of short/long term energy planning, resource intensity and views about sustainability. The study further highlights success factors contributing to increased use of green energy measures and areas that need to be addressed in order to encourage hotel managers to adopt green energy measures.

Adopting green energy initiatives is deemed significant in reducing the carbon footprint of the hotel industry. In general, energy-efficient and renewable energy technologies offer wide applications in the hotel industry. The adoption of these technologies improves energy performance and reduces dependence on fossil fuels. Hotel organizational commitment towards sustainability is highly inconsistent across the industry. Essentially, this industry represents a continuum of adopters; some hotels are leaders who proactively adopt innovative and state-of- the-art technologies, while others adopt only basic practices, such as reusing towels. There exist several challenges to shifting hotel organizations toward implementing green energy measures. Sharing best practices and learned lessons is essential to convince less committed hotel organizations to take action. Along with sharing information, it is important to identify similarities and differences in decision-making on green energy measures in both committed and less committed hotels. This study explores factors affecting decision-making on green energy measures in the hotel industry. In particular, it examines the business case for these measures and identifies challenges that prevent hotel managers from taking action. The study findings suggest that similarities and differences among best practice and other hotels are related to the approaches taken in decision-making by hotel managers in the adoption of green energy measures in terms of short/long term energy planning, resource intensity and views about sustainability. The study further highlights success factors contributing to increased use of green energy measures and areas that need to be addressed in order to encourage hotel managers to adopt green energy measures.

Sea-level rise is one of the most certain impacts of climate change that will have major long-term implications for tourism in the Caribbean. Sea-level rise will impact coastal tourism through inundation and erosion, damage to tourism infrastructure, (e.g., hotels/resorts, transportation) and also essential coastal resources (e.g., beaches and coral reefs). The study examines the implications of projected scenarios of sea-level rise for tourism in St. Lucia. Using geospatial analysis that integrates elevation data from satellites and digitized locations of tourism properties, transportation infrastructure (airports and cruise ports) and areas that have been zoned for future tourism development, this study identifies tourism assets that would be at risk to permanent inundation from a 1 m sea-level rise, flooding from storm surge associated with a 1/25 year storm event under 1 m sea-level rise, and exacerbated erosion associated with 1 m sea-level rise. The results indicate that while 1 m of sea-level rise would cause permanent inundation at only 4% of the 73 tourism properties assessed (impacting 7% of 4947 of rooms on the island), the additional exposure to storm surge and waves under a 1/25 year storm event would cause flooding damages at 30% of 73 tourism properties impacting 54% of rooms on the island. This study also found that erosion associated with 1 m of sea-level rise would impact 100% of the coastal resorts with inventoried beach assets. The study uses Google Earth and field observations to examine the potential of inland retreat as an adaptation strategy for coastal tourism resorts. Results indicate that 24 of 37 coastal tourism properties assessed would be unable to retreat due to current development or physical barriers, (e.g., water surfaces, protected areas). The study reviewed 16 national policies and planning documents to examine to what extent sea-level rise was considered in tourism planning and development, and found that only two policy documents referred to sea-level rise within the context of tourism. The thesis concludes with a discussion of additional research needs and recommendations for long-term planning and decision-making that are aimed at improving tourism adaptation to climate change and sea-level rise in St. Lucia.

Tourism is one of the largest economic sectors globally. It is a climate sensitive sector, with climate being one of the most important attributes for a destination. The Tourism Climate Index (TCI), developed by Mieczkowski (1985), is the most widely used index for assessing a destination’s climatic suitability for general tourist activities. Major deficiencies such as the subjectivity of its rating system and component weightings have been identified in the literature, and the need to develop a new index has been identified by researchers for almost a decade. This study aims to fill the research gap by developing a new index, the Holiday Climate Index (HCI), for the purpose of overcoming the deficiencies of the TCI. The HCI was compared with the TCI in rating both current (1961-1990) and future (2010-2039, 2040-2069 and 2070-2099) climatic suitability for tourism of the 15 most visited European city destinations (London, Paris, Istanbul, Rome, Barcelona, Dublin, Amsterdam, Vienna, Madrid, Berlin, Stockholm, Warsaw, Munich, Athens and Venice). The results were also compared with monthly visitation data available for Paris to assess whether the HCI ratings more accurately represent visitation demand than the TCI. The results show that there are key differences between the HCI and TCI in rating the tourism climate suitability of the selected European city destinations, in particular in the winter months of the northern, western and eastern European city destinations where the performance of the TCI had been questioned in the literature. The comparison with leisure tourist visitation data in Paris also revealed that the ratings of the HCI were more reflective of seasonal pattern of tourist arrivals than the TCI ratings. Because the TCI has been widely applied (15 studies), these findings hold important implications for future research in assessing current and future climatic suitability for tourism.