| 新冠肺炎疫情前后游客出行行为的时空特征研究——以中国香港为例 |
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| 引用本文： | 徐阳,彭澎,陆锋,高嘉良,程诗奋.新冠肺炎疫情前后游客出行行为的时空特征研究——以中国香港为例[J].地理研究,2022,41(12):3199-3213. |
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| 作者姓名： | 徐阳 彭澎 陆锋 高嘉良 程诗奋 |
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| 作者单位： | 1.中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室，北京1001012.中国科学院大学，北京 100049 |
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| 基金项目： | 中国科学院战略性先导科技专项(XDA23100500) |
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| 摘 要： | 新型冠状病毒肺炎疫情对香港旅游业产生了巨大的冲击，掌握疫情期间游客出行的时空变化特征，对后疫情时代旅游业复苏和发展至关重要。本文基于2019年和2020年社交媒体的旅游评论数据，采用时序统计、复杂网络分析等方法，对比分析疫情前后香港旅游网络的演化特征，并结合旅游目的地语义刻画游客出行规律。结果表明：① 游客出行规律呈现出一定程度变化，与疫情前相比，游客在一次出游行程中所访问的旅游目的地数量大幅下降；② 热门目的地仍然在香港旅游网络中承担着连接其他目的地的重要作用，而围绕热门目的地形成的旅游网络社区由疫情前的空间显著集聚转为相对稀疏分布，但网络社区内部目的地的空间分布较疫情前变得更加集聚；③ 在游客选择出行目的地方面，热门目的地访问量急剧减少，而以往游客较少且地理位置较为偏僻的目的地，在游客出行目的地选择时变得更被关注，但产业目的地始终是香港旅游中最热门的旅游目的地类型。
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| 关 键 词： | COVID-19 社交媒体数据 旅游足迹 旅游网络 中国香港 |
| 收稿时间： | 2022-02-28 |
Exploring spatio-temporal characteristics of tourist travel behavior before and after COVID-19: A case study in Hong Kong,China |
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| XU Yang,PENG Peng,LU Feng,GAO Jialiang,CHENG Shifen.Exploring spatio-temporal characteristics of tourist travel behavior before and after COVID-19: A case study in Hong Kong,China[J].Geographical Research,2022,41(12):3199-3213. |
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| Authors: | XU Yang PENG Peng LU Feng GAO Jialiang CHENG Shifen |
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| Institution: | 1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China2. University of Chinese Academy of Sciences, Beijing 100049, China |
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| Abstract: | The COVID-2019 pandemic has a huge impact on tourism industry, and mastering the spatial and temporal characteristics of tourists' travel behavior during the period is very crucial for the recovery and the development of the tourism industry. This study adopts time series statistics and complex network analysis to compare and examine the network evolution features of Hong Kong before and during the COVID-19 pandemic based on the comments data generated from TripAdvisor website in 2019 and 2020. The results show that: (1) Tourists' travel behavior patterns have changed to a certain degree, and they prefer to visit a small number of destinations during an itinerary. (2) Key destinations still play important roles in connecting other destinations, but the tourism community formed around the key destinations has varied from extremely dense to relatively sparse gathering. (3) The number of tourists in extremely hot destinations has been greatly declined, those destinations with fewer tourists and relatively far away from the downtown have attracted more attention. Moreover, industrial destinations have been always the most popular type of tourism destination. |
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| Keywords: | COVID-2019 social media data travel footprint tourism attraction networks Hong Kong |
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