ABSTRACT
Putian is an emerging tourist city in Fujian Province. It not only has Weizhou
Island, the birthplace of the world’s Mazu culture, but also the national 4A
scenic spot, like Jiuyi Lake, Jiulong Valley, South Shaolin, etc., attracting
thousands of tourists every year. This paper uses meteorological data of the
Putian Municipal Meteorological Bureau from 1988 to 2017, negative oxygen
ion data in the scenic spots of Weizhou Island, Jiuyi Lake and Jiulong Valley
from 2014 to 2017 and monthly data of tourists from 2011 to 2017 provided
by Putian City Tourism Bureau. Based on the Temperature and Humidity
Index, the Wind Cold Index, the Index of Cloth Loading and the Air Comfort
Index, this paper uses the analytic hierarchy process (AHP) to construct a
new comprehensive climate comfort model. Using the new model, the climate
comfort index of Putian is calculated, and the levels and time periods suitable
for tourism are divided. The number of tourists in Putian City is increasing
year by year and has obvious time distribution characteristics. There are two
peak periods in which tourists are concentrated in each year, which are April
to May and October to November, belonging to the spring-autumn type. This
paper also uses Ordinary Least Square (OLS) regression method to analyze
the climate comfort and tourist traffic. The results show that there is a clear
correlation between the comfort index and the passenger flow. Accordingly,
suggestions for improvement of tourism development in Putian are proposed.