Northeast Tourism Column
Tang Chengcai, Wang Xiyu, Han Ying, Song Xinyi, Liang Jiaojiao, Li Yifei, Liu Limei
Network attention is a key indicator measuring public interest in tourism destinations. Based on the network attention to tourism data of “Baidu index”, this research analyzes the spatio-temporal characteristics of network attention to tourism in eight China-Russia border cities in Heilongjiang Province from 2015 to 2023 by using the seasonal intensity index and geographic concentration index, followed by the influencing factors exploration by means of geographic detectors from 2019 to 2022. The findings indicate that: (1) the network attention to tourism of research areas in 2015-2023 manifests obvious seasonality and periodicity with peaks in summer and troughs in winter. Overall, the trend followed a “decline-rise-decline-recovery” trajectory. (2) Typical tourism cities (such as Heihe, Mudanjiang, Jiamusi, etc.) have relatively stable spatial distribution characteristics of network attention to tourism, with extensive, stable and sustainable tourism markets. The attention space of atypical tourist cities (such as Jixi, Shuangyashan, Hegang, etc.) fluctuates significantly. As a typical tourist city, the attention of Mohe also shows significant spatial fluctuations, indicating that the tourist city is in a dynamic development stage under the influence of multi-dimensional factors. (3) The spatial patterns of network attention to tourism in these border cities were influenced by economic, ecological, and social factors. Among these, GDP level, average low temperature and population density had a significant impact. The interaction of these multiple factors influences the change of the spatial pattern of network attention to tourism in the border cities.