Quantifying climatic suitability for tourism in Southwest Indian Ocean Tropical Islands: Applying the Holiday Climate Index to Réunion Island.

Climate is a key resource for tourists and tourism providers. Varied approaches to quantifying climate resources for tourism have been developed in the last 40 years, computing indices from a range of meteorological variables to measure the comparative climatic suitability of different destinations through time. This study provides the first application of a tourism climate index in the tropical southwest Indian Ocean, applying the recently developed Holiday Climate Index (HCI) for Réunion Island. The suitability of this index is evaluated for the case of this French department, with a particular focus on air conditioning availability in tourism accommodation establishments as this index excludes night-time thermal comfort. Both iterations of the HCI (HCIBeach and HCIUrban) are computed with meteorological data from Roland Garros Airport for the period 1991-2020, exploring monthly, annual, and seasonal climatic suitability. Mean monthly HCI scores reveal considerable seasonality in climatic suitability for tourism on the island with scores ranging from 89.3 ('excellent') to 36.9 ('marginal') for the HCIBeach and 85.0 ('excellent') to 27.5 ('unacceptable') for the HCIUrban, with more favourable scores calculated for July and August, displaying a clear austral winter peak seasonal classification. Over the 30-year period, there is no statically significant change in mean annual climatic suitability, and at a monthly scale, only one month of the year for each index displays statistically significant trends. These results are important in informing tourism strategies for the island to maximise visitor satisfaction through targeting advertising more deliberately for peak touristic climate suitability during the winter months.

Comparing future climatic suitability to shoreline loss for recreational beach use: a case study of five Japanese beaches.

Coastal tourism is impacted by regional environmental change, including sea-level rise and climatic change. A case study at five Japanese beaches was conducted to determine the relative difference in coastal and climatic changes that are important for recreational beach tourism. Future climate conditions and projections of shoreline changes due to sea-level rise were estimated using ensembles of 14 and 21 Global Circulation Models (GCMs), respectively. The Holiday Climate Index (HCI:Beach) specific to recreational beach use was used to assess historical and future climatic suitability while beach loss area was used to quantify physical changes to beach conditions. Diminished beaches with improved climate conditions were observed at all sites except Yonehara, which had both diminished beach and climate conditions. Comparing HCI:Beach scores relative to historical conditions revealed a change of -2.4 to +10%, while beach losses were typically >60%. These results highlight that beach tourism suitability at the study sites will likely exhibit greater changes due to sea-level rise, compared to those driven by changing atmospheric conditions. Supplementary Information: The online version contains supplementary material available at 10.1007/s10113-022-01906-2.

Development of a data-driven weather index for beach parks tourism.

The complexity of the human-environment interface predicates the need for tools and techniques that can enable the effective translation of weather and climate products into decision-relevant information. Indices are a category of such tools that may be used to simplify multi-faceted climate information for economic and other decision-making. Climate indices for tourism have been popularized in the literature over the past three decades, but despite their prevalence, these indices have a number of limitations, including coarse temporal resolution, subjective rating and weighting schemes, and lack of empirical validation. This paper critically assesses the design of the tourism climate index, the holiday climate index-beach, and a new, mathematically optimized index developed for the unique contextual realities of Great Lakes beach tourism. This new methodology combines the use of expert knowledge, stated visitor preferences, and mathematical optimization to develop an index that assigns daily weather scores based on four weather sub-indices (thermal comfort, wind speed, precipitation, and cloud cover). These daily scores are then averaged to the monthly level and correlated to visitation data at two beach parks in Ontario (Canada). This optimized index demonstrates a strong fit (R2 = 0.734, 0.657) with observed visitation at Pinery Provincial Park and Sandbanks Provincial Park, outperforming both the tourism climate index (R2 = 0.474, 0.018) and the holiday climate index-beach (R2 = 0.668, 0.427). This study advances our understanding of the magnitude and seasonality of weather impact on beach tourist visitation and can inform decision-making of tourism marketers and destination managers.

A comparison of the holiday climate index:beach and the tourism climate index across coastal destinations in China.

Climatic resources are vitally important for tourism, driving major intra- and inter-regional travel flows for sun-sand-surf (3S) tourism around the world. The development of climate indices to measure the suitability of climate for major tourism market segments has evolved over three decades. This study provides the first application of the holiday climate index (HCI):Beach specification in the Asia-Pacific tourism region. The HCI is designed from international tourist climate preference studies and is compared with the tourism climate index (TCI), which is widely applied, but not based on tourist climate preferences. The index inter-comparison is conducted at 14 of the most popular beach resort destinations in China, which include four geographic regions of China with four different Köppen classifications. The results show key differences between the two indices in rating the climatic suitability of the selected beach destinations in China, with the TCI rating beach destinations in the north and south higher during the spring and fall seasons, which is not consistent with beach tourism visits. During the summer months, southern destinations have much higher HCI:Beach rating, reflecting the 3S tourists' desire for higher temperatures. The findings reinforce those from other tourism regions that indicate the TCI is not appropriate for assessing 3S tourism potential and that additional cross-cultural studies of tourist climate indices are needed to better inform market segment climate service development and to understand the potential impacts of future climate change.

Delaware coast Delaware surf zone injury demographics.

INTRODUCTION: Beaches are a popular destination for recreation activities. Surf zone injuries (SZI) can occur resulting from a variety of in-water activities. Little is known regarding the sustained injury types, or demographics of injured persons and activities leading to injuries. METHODS: This study examines the distribution of SZI types, activities and populations occurring on Delaware Beaches as recorded by a local level III trauma center (Department of Emergency Medicine at Beebe Healthcare in Lewes, Delaware). RESULTS: There were 2021 injuries over the eight study years (2010-2017). The relative demographics of the injured population are similar despite fluctuating injury totals (mean [SD], 253.1 [104.4]). Non-locals (n=1757) were 6.7 times more likely to be injured as their local (n=264) counterparts (RR, 2.62; 95% CI, 2.08-3.31). Males (n=1258) were 1.7 times more likely to be injured than their female (n=763) counterparts (RR, 1.29; 95% CI, 1.21-1.37). Serious injuries, defined as patients requiring admission to a trauma service, represented 9.1% (n=184) of injuries. Fatal SZI (n=6) were categorized as serious injuries. Wading (50.1%) was found to be the dominant activity associated with injury followed by body surfing (18.4%), and body boarding (13.3%). CONCLUSION: To the authors' knowledge, this study is one of the first to investigate long-term trends in SZI data, injury activity, and demographics. Better understanding of the characteristics of injuries will allow for improved awareness techniques, targeted at populations with higher injury rates.

Assessing the environmental impacts of three different types of accommodations in Portugal and Spain by using an LCA approach.

The tourism industry, affected by COVID-19, must reduce greenhouse gas emissions. This study evaluated the environmental impact of three hotels in coastal and mountainous regions of Spain and Portugal using Life Cycle Assessment (LCA). Data was gathered via surveys in the Greentour tool. Results indicate that the 2-star hotel (focused on cultural-urban tourism) has the highest impacts in most categories, except for CC, FRD, and POF indicators. The 3-star hotel (beach tourism) contributes the most to CC and FRD indicators, while the hostel (nature-religious tourism) has the highest value in the POF indicator. LCA findings reveal that diesel consumption in the hostel and electricity usage in both the 2-star and 3-star hotels are major contributors to environmental impacts across various categories. Overall, evidence suggests that fossil fuel and electricity usage significantly affect tourism activities environmentally. Interestingly, this study highlights that a 2-star hotel can have a higher carbon footprint (CC indicator) compared to a 3-star hotel, challenging the notion that higher star ratings imply lower environmental impact.

Revival of sun-and-beach tourism through the lens of regulatory and risk dimensions of environmental sustainability.

Environmental sustainability is essential in tourism literature, and sun-and-beach tourism (SBT) is one of the most popular subsections of the tourism field. The appropriate policies and strategies during the COVID-19 pandemic to revive SBT growth through the lens of the regulatory dimension (RED) and risk dimension (RID) of environmental sustainability are gaining timely ground to conduct this research. The current study examined the nexus between SBT, RED, and RID utilizing three novel indexes (i.e., weighted sun-and-beach tourism index, weighted regulatory dimension index, and weighted risk dimension index) by employing the principal component analysis within the framework of six stages of empirical estimation strategy. These three novel indexes combine the most commonly used SBT, RED, and RID indicators. This research tested the CSD and homogeneous, then employed the second generation CIPS-CADF panel unit root test, used an AMG estimator, and employed the panel Toda-Yamamoto (PTY) causality test. The findings revealed that the RED positively influences SBT while the RID mitigates SBT. Results also indicate bidirectional causality between SBT, RID, and RED. In other words, changes in RID and RED have predictive power for the SBT, which further highlights the role of SBT on the RID and RED. Therefore, concerned authorities can focus on environmental sustainability design initiatives and appropriate policy/strategy implications to boost SBT.