Vol16 No.6: 1452-1469
【Title】Evaluation of tourism climate comfort in the Grand Shangri-La region
【Author】CHENG Qing-ping1,2; ZHONG Fang-lei3*
【Addresses】1 Northwest Institute of Eco-Environmental and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; 2 University of Chinese Academy of Sciences, Beijing 100049, China; 3 School of Economics, Lanzhou University, Lanzhou 730000, China
【Corresponding author】ZHONG Fang-lei
【Citation】Cheng QP, Zhong FL (2019) Evaluation of tourism climate comfort in the Grand Shangri-La regionPlateau. Journal of Mountain Science 16(6). https://doi.org/10.1007/s11629-018-5081-4
【Abstract】The Grand Shangri-La (GSL) region has strong international tourist appeal. GSL has considerable international eco-tourist potential as well as being attractive for leisure, vacation, health, explorative, and scientific research activities in addition to high-end tourism experiences. These factors could promote the development of its regional tourism. GSL has been identified as a key area for tourism development in China. In this study, we investigated tourism climate conditions in GSL from 1980 to 2016 using a tourism climate index (TCI). We found that through global warming, the number of annual and monthly good-weather days, as assessed with the TCI, showed an increase over most of GSL; that trend was especially true for very good, excellent, and ideal days. The optimal travel period was May–October. We obtained the same result using cluster heat maps, in which we categorized 31 studied meteorological stations into eight types. However, heavy rainfall tended to occur during that optimal period, and it was concentrated at certain times. The annual total number of comfortable days greater than 300 was mainly located in southern GSL. We observed significant correlations between monthly and annual excellent and ideal days with latitude and elevation; in particular, we identified a significant nonlinear correlation between excellent (and ideal) days and elevation.
【Keywords】Grand Shangri-La region; Evaluation; Tourism climate comfort; Cluster heat maps; Temperature; Precipitation