What is it about?
This study proposes a mathematical approach to a risk analysis of potential changes in the tourism climate nexus.
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Why is it important?
The Information Diffusion Model (IDM) and Geographical Information Systems (GIS) were applied to the spatial risk analysis of excessive rainfall based on the Tourism Climate Index (TCI) for North Cyprus. The probability of excessive rainfall was calculated using the IDM. The data were then inserted into the TCI formula to estimate the risk analysis of tourism climate for each station on the island. The spatial pattern of climate-related risks to tourism prepared using geo-statistical techniques with GIS software, revealed that the northern borders of the island are exposed to a high levels of precipitation, with resulting adverse effects on tourism.
Perspectives
Risk assessments of the tourism climate, spatial–temporal analyses using the TCI, and climate insurance are suggested as adaptive strategies to address seasonality issues.
Professor Hossein Olya
University of Sheffield
Read the Original
This page is a summary of: Risk assessment of precipitation and the tourism climate index, Tourism Management, October 2015, Elsevier,
DOI: 10.1016/j.tourman.2015.01.010.
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