Sun Huazhen, Zhang Yifeng, Guo Weifeng
School of Tourism, Wuyi University, Nanping, 354300, China.
Graduate school of business, SEGi University, Kota Damansara, 47810, Malaysia.
Heliyon. 2024 Jul 26;10(15):e35314. doi: 10.1016/j.heliyon.2024.e35314. eCollection 2024 Aug 15.
An increasing number of people are gathering travel information online prior to their trips as a result of the Internet's rapid expansion. The amount of network attention receives can indicate how many people are looking for something. The orderly development of Chinese resort hotels can be guided by research on the spatiotemporal characteristics of their network attention. Using Chinese resort hotels as the study subject, everyday information about resort hotels in 31 Chinese provinces was gathered via the Baidu Index platform between 2018 and 2022, and mathematical statistics and other methods were used to study the spatiotemporal distribution characteristics and influence of Chinese resort hotels network attention. Findings reveal that, from 2018 to 2022, network attention to resort hotels across the country fluctuated significantly across seasons, and there was a "precursor effect" reaction before the week of network attention. Moreover, the spatial distribution of network attention to Chinese resort hotels was uneven, showing an overall trend of "east-central-west" decline. Level of economic development, degree of network development, leisure time, and population size are the main factors affecting the spatiotemporal distribution of Chinese resort hotels network attention.
由于互联网的迅速发展，越来越多的人在旅行前会在网上收集旅游信息。网络关注度能反映出有多少人在寻找某样东西。通过对中国度假酒店网络关注度的时空特征进行研究，可以引导中国度假酒店的有序发展。以中国度假酒店为研究对象，利用百度指数平台收集了2018年至2022年期间中国31个省份度假酒店的日常信息，并运用数理统计等方法对中国度假酒店网络关注度的时空分布特征及影响因素进行了研究。研究结果表明，2018年至2022年期间，全国度假酒店网络关注度在不同季节波动显著，且在网络关注度周前存在“前驱效应”反应。此外，中国度假酒店网络关注度的空间分布不均衡，呈现出“东-中-西”整体递减的趋势。经济发展水平、网络发展程度、休闲时间和人口规模是影响中国度假酒店网络关注度时空分布的主要因素。
