Evolution of spatial collaborative network in the Long March Cultural Tourism Belt: Characteristics, pattern, and mechanisms

Abstract

AbstractThis research examines the evolution of the spatial collaborative network (SCN) within the Long March Cultural Tourism Belt in China, utilizing a mixed‐methods approach combining quantitative data analysis and GIS spatial analysis. Theoretically, it bridges national identity theory and political ideology using spatial network analysis; expanding understanding of how cultural heritage tourism contributes to national identity consolidation and the political narrative within a spatial framework. This contributes to the literature by demonstrating the role of SCNs in promoting cultural tourism's sustainable growth, addressing the call for methodological advances in cultural tourism research. In terms of the managerial side, it guides policymakers in leveraging SCNs for balanced cultural tourism growth through strategic planning and digital innovation. This research is distinguished by its comprehensive analysis of SCN evolution in a significant cultural tourism context, providing a model for global application.