Research on the impact of geographical distance on tourists'behavior based on social big data:Take Huangshan tourists as an example
In the context of big data,based on the Weibo check-in data of tourists in Huangshan City,the influence of geographical distance on tourists'behavior was quantitatively analyzed.The research finds that:(1)On a spatial distribution,local tourists form a tendency to gather in central towns.The distribution of short-distance tourists is balanced.Long-distance tourists show the characteristics of gathering in high-level tourist attractions;(2)In the selection of sce-nic spots,with the increase of distance,the tourism attraction of Huangshan Scenic Area and Hongcun Scenic Area is gradually strengthened,while the tourism attraction of Huizhou Ancient City is gradually weakened.In the terms of the level of scenic spots in Huangshan City,tourists from different distance have different choices;(3)Geographical distance affects tourists'choice of hotel and restaurant types and consumption behavior.The increase of geographical distance has made tourists more inclined to restaurants which have Huangshan local specialties.In terms of consumption expenditure,long-distance tourists spend the most on hotels and restaurants;(4)The comparative analysis shows that tourists who are from different geographical distances have different tourism motives.Local tourists mainly focus on relaxation and leisure.The motivation for short-distance tourists includes sightseeing and leisure.Long-distance tourists mainly care about sightseeing experience.
geographic distancetourist behaviorWeibo check-in dataHuangshan City
NETL
NSTL
万方数据
