On the basis of questionnaires and field investigation,behavior characteristics of tourists in Liuxihe National Forest Park were analyzed,and the results showed that tourists in the study area mainly come from the Pea...On the basis of questionnaires and field investigation,behavior characteristics of tourists in Liuxihe National Forest Park were analyzed,and the results showed that tourists in the study area mainly come from the Pearl River Delta for sightseeing,mostly 21-45 years old,with higher revisit rate but less residence time.And meanwhile,key tourist source markets of Liuxihe National Forest Park were classified on the basis of spatial distance features,social and economic features,and behavior characteristics of tourists,specifically,The Pearl River Delta Sightseeing Tourist Market,The Pearl River Delta Vacationing Tourist Market,The Pearl River Delta Business Tourist Market,and The Pearl River Delta Special-interest Tourist Market.Moreover,corresponding development strategies were proposed according to actual conditions of each market.展开更多
With the inbound tourism market data supported by National Natural Science Foundation of China as the basis, this study through researching the tourism decision-making behaviors of inbound tourists, adopting questionn...With the inbound tourism market data supported by National Natural Science Foundation of China as the basis, this study through researching the tourism decision-making behaviors of inbound tourists, adopting questionnaire survey among European tourists in Xi'an City, analyzed their tourism decision behaviors and influencing factors, and aimed to propose pertinent suggestions for the expansion of European tourist market for Xi'an City.展开更多
In hyperlink analysis,most researchers focus on interpreting hyperlink counts,they seldom concern themselves enough about the significance of spatial distribution of hyperlinks.In this paper,we argue that not only can...In hyperlink analysis,most researchers focus on interpreting hyperlink counts,they seldom concern themselves enough about the significance of spatial distribution of hyperlinks.In this paper,we argue that not only can the inlink count to a tourist attraction’s official website reflect its attractiveness,but also the spatial distribution of its inlinks can reflect the distribution of its tourist source markets.Three mountains in Anhui Province,China,are chosen for the case study.Firstly,the correlation between the spatial distributions of an attraction’s tourist source markets and its official website’s inlinks is investigated.Secondly,the tourism indexes such as the spatial concentration index(SCI)and the attraction radius(AR),which are calculated by inlinks,are compared to the real indexes based on tourist sources.Last,the detailed discussion and analysis are presented and an improved model,which is used to calculate the distribution of inlinks,is proposed.展开更多
文摘On the basis of questionnaires and field investigation,behavior characteristics of tourists in Liuxihe National Forest Park were analyzed,and the results showed that tourists in the study area mainly come from the Pearl River Delta for sightseeing,mostly 21-45 years old,with higher revisit rate but less residence time.And meanwhile,key tourist source markets of Liuxihe National Forest Park were classified on the basis of spatial distance features,social and economic features,and behavior characteristics of tourists,specifically,The Pearl River Delta Sightseeing Tourist Market,The Pearl River Delta Vacationing Tourist Market,The Pearl River Delta Business Tourist Market,and The Pearl River Delta Special-interest Tourist Market.Moreover,corresponding development strategies were proposed according to actual conditions of each market.
基金Supported by National Natural Science Foundation(49271037)Scientific Research Foundation of Xi’an University of Arts & Science(KYC200732)~~
文摘With the inbound tourism market data supported by National Natural Science Foundation of China as the basis, this study through researching the tourism decision-making behaviors of inbound tourists, adopting questionnaire survey among European tourists in Xi'an City, analyzed their tourism decision behaviors and influencing factors, and aimed to propose pertinent suggestions for the expansion of European tourist market for Xi'an City.
基金supported by the National High Technology Research and Development Program of China("863"Program)(Grant Nos.SQ2009AA01XK1485139,2007AA120502)Beijing Municipal Science & Technology Commission(Grant No.ZZ0618)
文摘In hyperlink analysis,most researchers focus on interpreting hyperlink counts,they seldom concern themselves enough about the significance of spatial distribution of hyperlinks.In this paper,we argue that not only can the inlink count to a tourist attraction’s official website reflect its attractiveness,but also the spatial distribution of its inlinks can reflect the distribution of its tourist source markets.Three mountains in Anhui Province,China,are chosen for the case study.Firstly,the correlation between the spatial distributions of an attraction’s tourist source markets and its official website’s inlinks is investigated.Secondly,the tourism indexes such as the spatial concentration index(SCI)and the attraction radius(AR),which are calculated by inlinks,are compared to the real indexes based on tourist sources.Last,the detailed discussion and analysis are presented and an improved model,which is used to calculate the distribution of inlinks,is proposed.
