SCIENTIA GEOGRAPHICA SINICA ›› 2012, Vol. 32 ›› Issue (12): 1459-1464.doi: 10.13249/j.cnki.sgs.2012.012.1459

• Orginal Article • Previous Articles     Next Articles

A Correlation Analysis Between Climate Comfort Degree and Monthly Variation of Tourists in Lijiang

Wei-hong CAO1(), Yuan-qing HE1, Zong-xing LI1, Shu-xin WANG1, Chun-feng WANG1,2, Li CHANG1,2   

  1. 1. State Key Laboratory of Cryosphere Science,Cold and Arid Region Environment and Engineering Research Institution, Chinese Academy of Scinences, Lanzhou, Gansu 730000, China
    2. Research School of Arid Environment and Climate Change, Lanzhou University, Lanzhou, Gansu 730000, China
  • Received:2011-11-12 Revised:2012-01-30 Online:2012-12-20 Published:2012-12-20

Abstract:

Climate comfortable degree is an important factor that influences the tourist destinations. It directly affects yearly variation of tourist traffic. This article, using climate data in the past 54 years (1954-2009), makes a comment on the tourist climate comfort in Lijiang and divides grades of fitness and periodic distribution. Combining monthly visitors index of overseas tourists and domestic tourists in Lijiang in the past five years , based on numerical value of climate comfortable degree and fictitious factors, OLS method was adopt to establish the correlation of monthly visitors index and related climate comfortable degree and fictitious factors. The result shows that: 1) Yearly variation of overseas tourists is divided into two periods during the year. It is mainly affected by climate comfort degree in the dry season from October to April of the next year, and also affected by the New Year holiday. Monthly index of climatic coefficient of elasticity is 1.31%. It is more evenly distributed in the rainy season from May to September. The average monthly index of overseas tourism is 8.33%. 2) For domestic tourism, yearly variation of tourists is primarily affected by climate comfort degree during the year. Summer vacation in July and August, National Day “Golden Week” have effect also. The correlation of yearly variation of tourists and climate comfort degree is significantly. Monthly index of climatic coefficient of elasticity is 0.56%. This study provides scientific basis for the forecast of yearly variation of tourist traffic, and the development of tourism in Lijiang.

Key words: climate comfortable degree, variation of tourists, correlation analysis, Lijiang

CLC Number: 

  • F592.7