摘要
已有研究对区域旅游经济空间网络复杂结构演变的分析较为薄弱,未能揭示出内生与外生因素对网络演变的共同影响。文章以长三角地区为例,选择2000年、2010年、2019年作为时间截面,利用复杂网络方法和随机行动者模型揭示了长三角地区旅游经济空间网络结构演变特征及影响因素。结果表明:(1)长三角地区旅游经济空间网络在2000年和2019年不具备无标度性质,在2010年表现出无标度性。网络的小世界特征随时间不变,具有一定的稳定性。(2)网络在3个时间截面均形成4个社团,社团的空间相对位置大体不变。(3)长三角地区旅游经济空间网络的形成和演变是内生和外生动力因素协同影响的结果。在网络内生结构方面,网络受到传递三元组构型的显著影响,城市间的旅游经济关系向紧密的三元组闭合化方向演进。(4)在节点属性效应方面,交通发展水平高、经济实力强、旅游资源优的城市更容易与其他城市产生旅游经济联系。(5)在节点间关系属性效应方面,地理邻近性和组织邻近性对城市间旅游经济联系的产生具有显著推动作用,但制度邻近性和文化邻近性具有负向影响。文章揭示了内生结构动力对旅游经济空间网络的影响,具有一定创新意义。
The analysis of the complex structure evolution of regional tourism economic spatial networks in existing studies is insufficient,and the joint influence of endogenous and exogenous factors on network evolution has not been analyzed.Taking the Yangtze River Delta(YRD)as an case,this paper selects the years 2000,2010 and 2019 as time cross-sections,and uses complex network method and Stochastic Actor-oriented Model(SAOM)to reveal the structural evolution and endogenous and exogenous factors of the tourism economic spatial network in the YRD.The results show that:(1)the spatial network of tourism economy in the YRD does not exhibit scale-free characteristics in 2000 and 2019,but shows scale-free nature in 2010.The small-world characteristics of the network remain unchanged over time,demonstrating a certain degree of stability.(2)The network forms four communities across all three time sections,and the spatial relative positions of communities remain largely unchanged.(3)The formation and evolution of the tourism economic spatial network in the YRD are the result of the synergistic influence of endogenous and exogenous driving factors.In terms of endogenous network structure,it is significantly influenced by the transitive triads configurations,with tourism economic relations between cities evolving towards a triad closure.(4)In terms of node attributes,cities with high levels of transportation,economies development,and superior tourism resources are more likely to establish tourism economic connections with other cities.(5)In terms of inter-node relationship attributes,geographical and organizational proximity have a significant driving effect on the tourism economic connections between cities,while institutional and cultural proximity have a negative impact.This paper has great significance in providing supplementary insights into the impact of endogenous structural dynamics on spatial networks of tourism economy.
作者
王永明
龚超
范敏
Wang Yongming;Gong Chao;Fan Min(School of Tourism,Hunan Normal University,Changsha 410081,China)
出处
《中国生态旅游》
CSCD
2024年第2期447-461,共15页
Journal of Chinese Ecotourism
基金
湖南省教育厅优秀青年基金项目(23B0084)
关键词
旅游经济空间网络
影响因素
复杂网络
随机行动者模型
长三角
spatial network of tourism economy
influencing factor
complex network
Stochastic Actor-Oriented Model
Yangtze River Delta
