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《Tourism Tribune》 2017-05
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Research on Spatial-temporal Characteristics of Tourist Flow Based on Sina Microblog LBS Data: An Case Study of Lanzhou

WANG Lucang;YAN Cuixia;LI Wei;College of Geography and Environmental Science, Northwest Normal University;  
Following the popularization of Internet Plus, i.e., the extensive smartphone application environment, location-based service(LBS) information from the Sina Weibo social network has increased gradually, which provides a new data source and perspective for studying the spatiotemporal characteristics of tourist flows. In this paper, the spatiotemporal dimensions of Sina Weibo's LBS signin data and the kernel density estimation method were used to study tourist flow characteristics in Lanzhou, Gansu Province. The study results show an obvious periodicity of tourist flows in the temporal dimension, which demonstrate obvious annual or diurnal changes from low to high seasons.Tourist flows change obviously between the different seasons. Remarkable "double-peak"characteristics were observed, with bigger differences between summer and winter half-years. Tourists' sign-in data peaked in April, July, and August, which is basically consistent with China's national legal holidays. A skewed structure was observed in the daily changes in tourist flows. Tourists' travelling activities increased over time after 5:00 am with a peak between 11:30 am and 1:00 pm, which then attenuates but is basically stable between 2:00 pm and 9:00 pm, and returns to a dormant state from 11:00 pm until 6:00 am the next day. Tourist flows show a typical core(city) to edge(peripheral areas)structural characteristic in the spatial dimension, which is consistent with the spatial distribution patterns of tourist attractions and tourism service facilities. Female tourists are more likely to sign-in frequently than male tourists do, and male tourists are more likely to make flow changes than female tourists do. Female tourist flows are mainly concentrated in the main urban area, while male tourists prefer to participate in a rich variety of outdoor activities in rural forest parks. Obvious lead/lag effects can be seen in the temporal dimension of tourist flows for tourists from both inside and outside Gansu Province. Tourists within Gansu Province prefer to travel in spring; thus, their data will peak in April and reach a subpeak in October. However, tourists from other areas prefer to travel to Gansu Province in summer; thus, their data will reach a subpeak in May, but peak during July – August. The spatial selections by tourists from inside and outside Gansu Province demonstrated a certain"dislocation"phenomenon. Tourists from Gansu Province tend to visit scenic sites in the main urban area, whiletourists from other areas visit the main urban area and well-known peripheral scenic sites. Moreover,tourist flows follow a clear axis along the Yellow River Custom Tourist Line, i.e., Zhongshan Bridge–Baita Mountain Park–City God Temple–The Yellow River Mother Sculpture–Waterwheel Museum,with other tourist attractions also scattered in the peripheral areas outside the main axis. Closed tourism loops have not yet been formed in the main urban area or in the surrounding areas. Therefore,promotion of tourism in Gansu Province on the Weibo social network should be given great attention.The shortcomings of the obvious seasonal changes in Gansu Province should be overcome to keep developing nighttime tourism products and integrate tourist flows spatially.
【Fund】: 国家自然基金地区项目“基于灌区尺度的绿洲聚落空间格局及耦合关系——以张掖绿洲为例”(41261042)资助~~
【CateGory Index】: F59
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【Citations】
Chinese Journal Full-text Database 9 Hits
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 ZHAO Ning-She;School of Information Engineering,Xi'an University;;Social Awareness Process Modeling Based on E-Government IoT Application[J];计算机系统应用;2017-07
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3 XIONG Peng;XU Yuan;ZHU QunXiong;College of Information Science and Technology,Beijing University of Chemical Technology;Engineering Research Center of Intelligent PSE,Ministry of Education,Beijing University of Chemical Technology;;Application of an algorithm for scenic route recommendations during selective sightseeing[J];北京化工大学学报(自然科学版);2017-03
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