Theoretic and practical significance has been highlighted in the research of the roles and functions of destinations,as destinations are restricted by the spatial structure based on tourist flow network from the persp...Theoretic and practical significance has been highlighted in the research of the roles and functions of destinations,as destinations are restricted by the spatial structure based on tourist flow network from the perspective of relationship.This article conducted an empirical analysis for Tourism Region of South Anhui(TRSA) and revealed the necessity and feasibility of studying the roles and functions of destinations from tourist flow network's perspective.The automorphic equivalence analysis and centrality analysis were used to classify 16 destinations in TRSA into six role types:tourist flow distribution center,hub of tourist flows,passageway destination,common touring destination,attached touring destination,and nearly isolated destination.Some suggestions were given on suitable infrastructure construction and destinations service designs according to their functions in network.This destination role positioning was based on tourist flow network structure in integral and macroscopic way.It provided an important reference for the balanced and harmonious development of all the destinations of TRSA.In addition,this article verified the applicability of social network analysis on tourist flow research in local scale,and expanded this method to destination role and function positioning.展开更多
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 t...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.展开更多
Through practical sampling survey for the overseas travelers in the 12 tourist hotspot cities of China, the analytical results of database of the spatial changes for overseas travelers have been established with the h...Through practical sampling survey for the overseas travelers in the 12 tourist hotspot cities of China, the analytical results of database of the spatial changes for overseas travelers have been established with the help of the software Visual FoxPro. The New concepts such as transferring state, which can be used to study the spatial flow intensity of travelers. is first put forward By analyzing the statistical results, the spatial flow intensity of 12 tourist hotspot cities in China for overseas travelers has been probed At last, a practical research of spatial flow intensity for overseas tourists is carried out in Beijing──the of tourist hotspots of China展开更多
The estimation of the value on the engineering project in tourist towns is usually very challenging and controversial. In this study, an attempt has been made to evaluate the economic value of the debris flow control ...The estimation of the value on the engineering project in tourist towns is usually very challenging and controversial. In this study, an attempt has been made to evaluate the economic value of the debris flow control engineering in tourist towns by integrating both welfare and disaster economics. The total value of debris flow prevention and control engineering in tourist towns(VDFE) includes investment cost(IC), disaster mitigation benefit(DMB), and loss of brand value(LBV). Here DMB is assessed by the cost-benefit method. The LBV is estimated by incorporating brand equity and costbenefit methods. The engineering for debris flow control in the Hongchun Gully of southwest China was built to protect Yingxiu tourist town and was assessed as an example. The IC for the engineering is180 million RMB, however, the VDFE reaches as high as 3401 million RMB, of which the LBV is 169 million RMB, and the input-output ratio is 1:18. Thus, the LBV cannot be neglected in case of VDFE estimation process. The more developed the tourism in one town or city is, the greater the LBV and the higher the VDFE are.展开更多
基金Under the auspices of National Natural Science Foundation of China(No.41001070,40801054,40371030)
文摘Theoretic and practical significance has been highlighted in the research of the roles and functions of destinations,as destinations are restricted by the spatial structure based on tourist flow network from the perspective of relationship.This article conducted an empirical analysis for Tourism Region of South Anhui(TRSA) and revealed the necessity and feasibility of studying the roles and functions of destinations from tourist flow network's perspective.The automorphic equivalence analysis and centrality analysis were used to classify 16 destinations in TRSA into six role types:tourist flow distribution center,hub of tourist flows,passageway destination,common touring destination,attached touring destination,and nearly isolated destination.Some suggestions were given on suitable infrastructure construction and destinations service designs according to their functions in network.This destination role positioning was based on tourist flow network structure in integral and macroscopic way.It provided an important reference for the balanced and harmonious development of all the destinations of TRSA.In addition,this article verified the applicability of social network analysis on tourist flow research in local scale,and expanded this method to destination role and function positioning.
文摘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.
基金Under the auspices of the National Natural Science Foundation of China! 49571027
文摘Through practical sampling survey for the overseas travelers in the 12 tourist hotspot cities of China, the analytical results of database of the spatial changes for overseas travelers have been established with the help of the software Visual FoxPro. The New concepts such as transferring state, which can be used to study the spatial flow intensity of travelers. is first put forward By analyzing the statistical results, the spatial flow intensity of 12 tourist hotspot cities in China for overseas travelers has been probed At last, a practical research of spatial flow intensity for overseas tourists is carried out in Beijing──the of tourist hotspots of China
基金supported by the program of increasing resilience to natural hazards in earthquake prone regions in China:The NationalNatural Science Foundation of China(Grant No.41661134012 and 41501012)
文摘The estimation of the value on the engineering project in tourist towns is usually very challenging and controversial. In this study, an attempt has been made to evaluate the economic value of the debris flow control engineering in tourist towns by integrating both welfare and disaster economics. The total value of debris flow prevention and control engineering in tourist towns(VDFE) includes investment cost(IC), disaster mitigation benefit(DMB), and loss of brand value(LBV). Here DMB is assessed by the cost-benefit method. The LBV is estimated by incorporating brand equity and costbenefit methods. The engineering for debris flow control in the Hongchun Gully of southwest China was built to protect Yingxiu tourist town and was assessed as an example. The IC for the engineering is180 million RMB, however, the VDFE reaches as high as 3401 million RMB, of which the LBV is 169 million RMB, and the input-output ratio is 1:18. Thus, the LBV cannot be neglected in case of VDFE estimation process. The more developed the tourism in one town or city is, the greater the LBV and the higher the VDFE are.
