Journal
SOUTH AFRICAN GEOGRAPHICAL JOURNAL
Volume 103, Issue 4, Pages 443-463Publisher
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/03736245.2020.1835703
Keywords
Tourism; climate change; Tourism Climate Index (TCI); climate Suitability; nature-based tourism
Categories
Funding
- DSI-NRF Centre of Excellence for Palaeoscience
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Climate and weather play a crucial role in tourism, especially for nature-based tourism. This study found that Zimbabwe has a year-round climatic suitability for tourism, with monthly TCI scores indicating different seasonal suitability at different locations, highlighting the importance of understanding seasonal variability per destination to maximize tourist satisfaction.
Climate and weather are key resources for tourism. For nature-based tourism, weather determines the timing and variety of activities, while longer-term climate affects the seasonality of both tourism arrivals and the natural environment tourists will experience. This influence is heightened in developing countries, where little adaptation has been implemented to ameliorate unfavourable climate and extreme weather events. The Tourism Climatic Index (TCI) is widely used in the global North to quantify the climate suitability of tourist destinations. Initial studies for South Africa, Lesotho and Namibia reveal the applicability of the index in the African context, despite challenges in data availability and quality. This study presents the first TCI calculations for Zimbabwe, a country relient on outdoor nature-based tourism for attracting tourists and foreign income. The mean annual TCI scores classify Zimbabwe as very good to excellent in climatic suitability for tourism, with scores spanning 75.5-83 (of a maximum 100) for the period 1989-2014. Monthly TCI scores categorize four locations in the Lowveld region as having a winter-peak suitability; the remaining stations have either summer-peak or bimodal shoulder-peaks. This reveals year-round climatic suitability for tourism in Zimbabwe, and highlights the importance of understanding seasonal variability per destination to maximize tourist satisfaction.
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