地理与地理信息科学

知识创新网络是研究区域创新协作关系的重要视角。本文基于2011—2022年旅游科研论文合著数据，运用复杂网络分析方法从整体结构、城际关联、节点角色3个层面剖析中国城市旅游知识创新网络的时空复杂性及空间组织模式。研究发现：(1)中国城市旅游知识创新网络整体呈现以北京为核心的放射状结构，“东密西疏”的时空格局特征明显；(2)网络联系强度与可达性稳步提升，城际联系极化特征突出，跨区域联系占比较大；(3)北京、上海、西安等少数核心城市在网络中发挥中枢作用，多数城市处于网络边缘位置；(4)空间组织模式由单核向多核心网络转变。研究结果可为优化区域旅游协同创新体系、培育高质量旅游创新空间提供理论依据。

Knowledge innovation network is an important perspective for studying regional innovation collaboration relationships.Based on the co-authorship data of tourism research papers during the period 2011-2022,this study employs complex network analysis to examine the spatio-temporal complexity of urban tourism knowledge innovation network in China.The analysis is conducted at three levels: overall network structure, intercity linkages, and node roles, with the aim of exploring the spatial organization patterns of intercity tourism knowledge innovation linkages.It is found as follows.(1) The urban tourism knowledge innovation network in China exhibits a radial structure centered on Beijing, with a distinct "dense in the east and sparse in the west" spatiotemporal pattern.(2) Network connection strength and accessibility have increased steadily, intercity linkages show pronounced polarization, and cross-regional connections constitute a substantial proportion.(3) A limited number of core cities, such as Beijing, Shanghai, and Xi′an, serve as pivotal hubs within the network, while the majority of cities occupy peripheral positions.(4) The spatial organization pattern has transitioned from a single-core toward a multi-core network pattern.Investigating the spatiotemporal complexity and organizational patterns of China′s urban tourism knowledge innovation network provides a theoretical foundation for optimizing regional tourism collaborative innovation systems and fostering high-quality tourism innovation spaces.