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旅游输入型传染病病例的空间分异及行为模式——基于云南省COVID-19病例的实证分析 被引量:2

Spatial Differentiation and Behavior Pattern of Tourist Imported Infectious Disease Cases Based on COVID-19 Cases in Yunnan Province
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摘要 以旅游为目的的人口流动可能加快流行性传染病的传染速度和扩散范围,因此获取旅游输入型病例的空间行为模式对突发性公共卫生事件的应急处理具有非常重要的作用。为获取突发公共卫生事件下旅游输入型传染病病例的空间行为模式,以云南省旅游输入型COVID-19病例作为研究对象,采集病例活动轨迹数据,并分别以昆明、西双版纳、大理三个旅游输入型病例到访最集中的城市为核心,分析了典型旅游输入型病例空间行为模式。研究结果表明:云南省旅游输入型COVID-19病例的第一个高频活动期发生于春节假期开始前一至两周;疫情暴发区与高等级景点密集区高度重合。在空间行为模式上,旅游输入型病例的空间行为模式多为线型模式。其中,以昆明为核心的多为基营旅游或往返旅游模式,以西双版纳为核心的多为单一目的地旅游模式,以大理为核心的多为大尺度往返旅游模式。 Travelling-oriented population movements may accelerate the rate and diffusion range of epidemic diseases.It is very important to know the spatial behavior pattern of tourist imported cases for epidemic prevention and control.To explore the spatial behavior pattern of tourism input infectious disease cases under public health emergencies,this paper took the tourism input COVID-19 cases in Yunnan province as the research object,and sorted out space traces of those cases.The paper then took Kunming,Xishuangbanna and Dali as the core subjects to analyze the spatial behavior patterns of typical tourist imported cases.The results show that the first high-frequency activity period of COVID-19 cases in Yunnan occurred one to two weeks before the Spring Festival holiday;the COVID-19 outbreak area was highly coincident with the intensive area of high-level scenic spots;the spatial behavior pattern of tourism input cases were mostly linear.Among them,Kunming is the core of campsite tourism mode and round-trip tourism mode;Xishuangbanna is the core of single-destination tourism mode;Dali is the core of large-scale round-trip tourism mode.
作者 王梓涵 陈方 戢晓峰 杨晓泉 WANG Zihan;CHEN Fang;JI Xiaofeng;YANG Xiaoquan(Faculty of Transportation Engineering,Kunming University of Science and Technology,Kunming 650504,Yunnan,China;Yunnan Integrated Transport Development and Regional Logistics Management Think Tank,Kunming University of Science and Technology,Kunming 650504,Yunnan,China;Faculty of Marxism,Kunming University of Science and Technology,Kunming 650504,Yunnan,China;Road Network Monitoring and Emergency Command Center,Yunnan Provincial Transportation Department,Kunming 650100,Yunnan,China)
出处 《昆明理工大学学报(社会科学版)》 2020年第5期72-78,共7页 Journal of Kunming University of Science and Technology(Social Sciences)
基金 云南省交通运输科技创新示范项目“高速公路旅游流时空模式感知与沿线服务设施配置优化研究”
关键词 新冠肺炎疫情 旅游流 时空分异 行为模式 云南省 COVID-19 tourism flows spatial variation characteristics behavior patterns Yunnan province
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