东北地区市域旅游客流时空差异及影响因素  

Spatial and Temporal Differences and Influencing Factors of Urban Tourist Flow in Northeast China

作　　者：吕波 王辉 周仲鸿 何悦 LV Bo;WANG Hui;ZHOU Zhonghong;HE Yue(School of management,Bohai University,Jinzhou 121013,Liaoning,China)

机构地区：[1]渤海大学管理学院,辽宁锦州121013

出　　处：《旅游研究》2022年第1期14-26,共13页Tourism Research

基　　金：渤海大学研究生创新基金项目“中国重要农业文化遗产旅游资源价值及开发研究--以四川省为例”(YJC2020-019)。

摘　　要：探究东北地区市域旅游客流时空差异及影响因素,对其制定旅游发展策略具有重要意义。以东北地区41个市域作为研究对象,选取2009、2014、2018三年的截面数据,运用空间自相关、LISA时间路径、LISA时空跃迁等方法研究旅游客流时空差异特征,并结合OLS模型和GWR模型分析影响因素空间分异。结果表明:旅游客流表现为不平衡状态,其空间格局为三核扩散模式;旅游客流呈正空间自相关性,空间均质性较为明显;旅游客流呈更加稳定的局部空间结构,具有较强的负向空间整合性和路径锁定特征;交通区位、产业结构、人力资源是影响旅游客流的主要因素,且各影响因素存在显著空间分异特征。It is of great significance to explore the spatial and temporal differences and influencing factors of urban tourist flow in Northeast China to formulate tourism development strategies.Taking 41 cities in Northeast China as the research object,the cross-sectional data of 2009,2014 and 2018 were selected to study the spatial and temporal differences of tourist flows using spatial autocorrelation,LISA time path and LISA space-time transition,and OLS model and GWR model were combined to analyze the spatial differences of influencing factors.The results show that tourist flow is unbalanced,and its spatial pattern is three-nuclear proliferation.Tourist flow has positive spatial autocorrelation and obvious spatial homogeneity.The tourist flow shows a more stable local spatial structure with strong negative spatial integration and path locking characteristics.Traffic location,industrial structure and human resources are the main factors affecting tourist flow,and each factor has significant spatial differentiation characteristics.

关 键 词：旅游客流 时空差异 特征 影响因素 东北地区 

分 类 号：F59[经济管理—旅游管理]