Abstract:

Internet search embodies people's actual attention and potential demand for a certain item or phenomenon. It is a precursor to the potential travel behavior. The research on the characteristics of the space-time distribution of the homestay accommodation network attention can clarify the space-time distribution law of China's homestay hotel demand in order to provide a theoretical reference for optimizing the development layout of China's homestay industry. Based on Herfindahl index, Seasonal Concentration Index, weekly Distribution Skewness Coefficient, Geographic Concentration Index, Variation Coefficient, Primacy Index and other indicators, the author collected the homestay internet search data of Chinese mainland 31 provincial spatial units between 2015 to 2019 on Baidu platform, and analyzed the spatial-temporal distribution characteristics of the network attention of domestic homestay accommodation. The results show that: (1) There is a significant fluctuation trend of the national homestay network attention between 2015 and 2019, with evident seasonal distribution differences. The network attention has a sign of "precursor" effect in the early phase of the holiday season. (2) There is a regional imbalance in the domestic residential network attention which reflects the overall decreasing tendency from the "East-Central-West" in turn. From 2015 to 2019, the degree of regional agglomeration of homestay network attention was dipping, and the regional differences was narrowing. (3) The climate comfort and leisure time are the main factors that contribute to the time distribution of the degree of the homestay network attention. The economic development of tourist destinations, the purchasing power of residents, population size, the advancement of Internet technology, educational background of the consumers, and the development of the homestay industry will all affect the spatial distribution of homestay network attention.

Key words: Baidu Index, homestay, network attention, time and space characteristics, influencing factors

摘要：

网络搜索体现了人们对某种事物或现象的现实关注与潜在需求情况，是游客潜在出游行为的一种前兆。对民宿网络关注时空分布特征的研究，可以明确我国民宿需求的时空分布规律，为优化我国民宿行业发展空间布局提供理论参考。基于2015—2019年中国大陆31个省域空间单元的民宿网络搜索数据，使用赫芬达尔指数、季节性集中指数、周内分布偏度指数、地理集中指数、变差系数、首位度等指标，对中国民宿网络关注度的时空分布特征进行分析。研究发现：（1）中国民宿网络关注度在2015—2019年呈现明显的波动趋势，季节性分布差异明显，网络关注度在假日前期会出现显“前兆”效应；（2）中国民宿网络关注度存在地域不均衡性，空间分布上呈现“东部-中部-西部”依次递减的整体趋势，2015—2019年民宿网络关注度的区域集聚程度在降低，区域间差异在缩小；（3）气候的舒适性和闲暇时间是影响民宿网络关注度时间分布的主要因素，客源地的经济发展水平、居民购买力、人口规模、互联网发达程度、受教育程度和民宿业发展水平均会对民宿网络关注度的空间分布产生影响。

关键词: 百度指数, 民宿, 网络关注度, 时空特征, 影响因素