摘要
The tourism climate comfort degree can directly affect the trip of tourists,and can determine the length of the tourist season and the development of the tourist projects.In order to explore the relationship between the climate comfort degree and the annual variation of tourist flow combined with 1981-2010 climate related data,this paper analyzes the comfort degree of tourism climate in Tai’an,the annual change divide tourist season into high season,shoulder season and off-season.With regression analysis,the correlation between tourism climate comfort degree and annual variation of passenger flow is analyzed.The final result is as follows:As for Tai’an,in May and September the rank of humiditytemperature index(THI)is A,with the most pleasant climate,the most suitable for tourism activities.In April,August and October the rank of THI is B or b,represented as suitable climate,suitable for tourism activities.In June and July,the climate is hot,with a low tourism suitability grade,In February,March and November,the climate is cold,with a poor tourism suitability grade.In January and December the climate is frigid,not suitable for tourism activities.The final conclusion is below:the tourist traffic variation within the year is mainly affected by climate comfort effect.The elastic coefficient is 0.927%.In addition,the tourist traffic variation within the year is also affected by the summer vacation,the Golden Week and the impact of preferential policies.All the above provide a scientific basis for the prediction of Tai’an’s tourist flow in a year,the development of tourism and tourist scenic management.
The tourism climate comfort degree can directly affect the trip of tourists, and can determine the length of the tourist season and the development of the tourist projects. In order to explore the relationship between the climate comfort degree and the annual variation of tourist flow combined with 1981-2010 climate related data, this paper analyzes the comfort degree of tourism climate in Tai’an, the annual change divide tourist season into high season, shoulder season and off-season. With regression analysis, the correlation between tourism climate comfort degree and annual variation of passenger flow is analyzed. The final result is as follows: As for Tai’an, in May and September the rank of humiditytemperature index(THI) is A, with the most pleasant climate, the most suitable for tourism activities. In April, August and October the rank of THI is B or b, represented as suitable climate, suitable for tourism activities. In June and July, the climate is hot, with a low tourism suitability grade, In February, March and November, the climate is cold, with a poor tourism suitability grade. In January and December the climate is frigid, not suitable for tourism activities. The final conclusion is below: the tourist traffic variation within the year is mainly affected by climate comfort effect. The elastic coefficient is 0.927%. In addition, the tourist traffic variation within the year is also affected by the summer vacation, the Golden Week and the impact of preferential policies. All the above provide a scientific basis for the prediction of Tai’an’s tourist flow in a year, the development of tourism and tourist scenic management.
