| With the advent of large data age, more and more tourists rely on the network to search for information related to travel destination to assist in decision-making, leaving a lot of search traces on the network. Wuhan is an excellent tourist city in China. As one of the important cities in the Yangtze River economic zone and the middle reaches of the Yangtze River, the geographical advantages are obvious and the tourism industry is developing rapidly. Based on this, this paper takes Wuhan as a case to study the temporal and spatial distribution characteristics and influencing factors of the network concern degree of tourism destination. The theoretical significance of this study is that it can enrich the research of tourism information flow. At the same time, it provides Wuhan network marketing and tourism market development decision Useful reference.This article is based on platform named Baidu index, Wuhan tourism, Wuhan tourism Raiders, Wuhan tourist attractions, Wuhan attractions for the superposition of key words to 34 provinces (autonomous regions and municipalities) for the region,access to 2011 - 2015 daily network attention (users Attention degree) as the basic data,the spatial and temporal characteristics of the network attention degree of the tourist destination are studied, the qualitative and quantitative methods are used to analyze the influencing factors of the spatial and temporal characteristics of the tourism destination network. The main conclusions of this paper are as follows:(1) time distribution characteristics: from the interannual changes, Wuhan as a tourist destination 2011-2015 network attention continues to increase; from the seasonal characteristics of view, Wuhan as a tourist destination, its network attention for five years with Similar trends, the overall "double peak" features, April and September for the two high peaks, the lowest value of the five years during the year in January each year, of which the lowest value in 2015 appeared in November, the reference travel Passenger season classification, through the calculation found that in 2011, five years, Wuhan, as a tourist destination network focus on the season for March - April and July - October,mostly in May - June and November. Off-season mostly in December and January-February. Wuhan, as a tourist destination, its network attention has obvious seasonal characteristics, with a long season, short season short characteristics; from the week period characteristics, 2011-2015 Wuhan network coverage in the week also has similarity, The performance of the "high working days, low on weekdays," the characteristics of the distribution of the number of tourists is less common weekdays,more weekend, between the two show complementary state. Weekly characteristics of the specific performance is Monday to Wednesday is relatively stable, Wednesday to Friday there is a relatively clear upward trend, Saturday and Sunday, the downward trend is obvious, these characteristics show that the network reflects the degree of potential tourists market; from the holiday characteristics to Wuhan, as a tourist destination 2011 -2015 network attention during "May Day" ,before and after the holiday more than the performance: before the holiday network attention increased significantly, the highest value in the "May 1" holiday one day before the holiday period of the three Days continue to fall,after falling to a stable range after the holiday. In the 2011-2015"October 1st National Day" Golden Week, Wuhan as a city tourist destination, the network attention degree before and after the holiday changes are basically the same, the overall concern before the holiday began to rise and in the Golden Week on the first day or gold Week 2 (2014) reached its peak, followed by a downward trend and reached a steady state after the holidays and after the holidays.(2) spatial distribution characteristics: First of all, the spatial distribution of network similarity is: in the provinces and autonomous regions in the distribution of uneven, high degree of concern in the provinces and autonomous regions are mainly concentrated in Hubei Province and the surrounding Hunan, Henan, Shaanxi and other provinces; Beijing,Jiangsu, Zhejiang, Guangdong and other coastal economically developed areas of the distribution is relatively high; low degree of concern in the provinces and autonomous regions are mainly western economically backward provinces. The distribution of space in the basic characteristics of the distance from the attenuation law, the closer the distance from Wuhan, Wuhan, the higher the degree of concern, but particularly noteworthy from Wuhan geographical area closer, but the degree of concern is not high areas such as Chongqing, Anhui, Jiangxi, etc., this area has a higher room for improvement; followed by Wuhan as a tourist destination, the network attention in the distribution of provinces and autonomous regions, 2011-2015 distribution of these five years are more concentrated, and the degree of concentration Finally, the first-tier market in the five years between 2010 and 2015 is basically stable, mainly in Hubei, Guangdong,Beijing, Henan and Hunan, and the provinces with close proximity to the economically developed provinces have strong network attention. The secondary market provinces from 15 in 2011 down to 2015, 13, while the weak secondary market provinces from seven in 2011 rose to 9, from the provinces, basically showing a stable trend. Network concerns three provinces of the provinces are relatively stable, are concentrated in the western provinces such as: Qinghai, Tibet, Ningxia, and Hong Kong, Macao and Taiwan regions.(3) Influencing factors of temporal and spatial distribution characteristics: First, the main influencing factors of time distribution are climate comfort, leisure time and important festival activities. Wuhan’s climate comfort and visitors to the network has a strong degree of relevance, climate and comfortable months for tourists, people travel to the destination network search frequency is high, the network attention is also higher, on the contrary, the network attention Low, weekends, statutory holidays and summer holiday’s is the concentration of time for our residents, in addition, the degree of concern with the network has a certain precursor, which formed a network of attention in the distribution of weeks showed "usually high, low weekend" features ; Before and after the holidays or holidays before the two days to form the peak of network attention; 7-8 months of network attention than in June also became a clear upward trend; important festival activities during the Wuhan network attention has become a clear upward trend;Secondly, the main factors of spatial distribution are spatial distance, economic development level, population size and economic connection. The degree of network concern (Baidu index) and the spatial distance showed a clear negative correlation, that is,the province’s network attention (Baidu index) with the distance from Wuhan to reduce the increase; network attention (Baidu index) and economic development level (Per capita GDP) showed a positive correlation, that is, the higher the level of economic development in each province, the higher the degree of concern for the travel destination in Wuhan; the degree of network attention (Baidu index) and the population scale The higher the population size of each province, the higher the network attention degree of Wuhan as a tourist destination, and the obvious positive correlation between the network attention (Baidu index) and the economic link, that is, The greater the economic ties between the provinces and Wuhan, the higher the degree of concern for Wuhan as a tourist destination. |
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