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| A STUDY ON THE TEMPORAL DISTRIBUTION PATTERN OF DOMESTIC TOURISTS IN XI'AN BY HOURS BASED ON THE MICROBLOG BIG DATA |
| TANG Jia1, LI Jun-yi2 |
1. School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China;
2. College of Tourism and Environment, Shaanxi Normal University, Xi'an 710062, China |
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Abstract The researches on temporal behaviors rules of tourist flow are usually made from macro perspective rather than micro perspective. With the advent of the mobile Internet and big data, the researches on temporal behavior rules of tourist flow is entering a new stage. With the example of Xi'an, this paper studies the temporal distribution pattern of domestic tourists by hours based on the microblog big data which are generated by tourists. 388, 676 geotagged messages were obtained through calling the open API of Sina Microblog. After filtering, 131, 960 available data are reserved for studying. First, from the general perspective, this paper studies the comparison of check-in pattern of domestic tourists by hours in Xi'an and ordinary users, then explores the temporal distribution pattern of tourists by hours in important travel notes. The study found that:①there are greater differences in check-in pattern by hours between domestic tourists in Xi'an and ordinary users, including the entire shape of check-in pattern, the check-in frequency in day and night, the delay and hysteresis of tourists behavior. ②the temporal distribution patterns of tourist flow by hours in important travel notes can be divided into three types:multi-peak fluctuating pattern, daytime active pattern and nighttime active pattern. The multi-peak fluctuating pattern mainly includes transportation hubs, which shows several peaks and flexible temporal distribution in temporal distribution figure. ③the temporal distribution patterns of domestic tourists by hours have corresponding relationships with spatial characteristics. ④the impact of space and activity on temporal distribution patterns is an important mechanism.
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Received: 09 February 2015
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2016, Vol. 31 
