Network-Based Model of Eco-Tourism in Suqoq Using Software-Defined Networking

The occurrence of network fragmentation is a considerable obstacle to eco-tourism connectivity and adaptive resource provision is a crucial strategy for the management of distributed tourism systems with seasonal instability and a moderate to high risk of service degradation. The aim of this study was to provide the comparative comparison of a software-defined eco-network to a traditional node-link model over a twelve-month period. A multi-criteria meta-analysis evaluated regional cluster interactions and subgroup analyses tested for effective tourism flow redistribution. A systematic search of visitor behavior logs, infrastructure topology datasets, sensor-based environmental feeds, regional tourism databases, policy framework reports, transportation access layers, and energy footprint models identified 42 studies, of which 15 randomized controlled network simulations were eligible and included in the final analysis. Based on a comprehensive Suqoq eco-tourism dataset, five different network topologies are considered by Analytical Hierarchy Process (AHP) and the results compared to empirical evaluations from similar Uzbekistan mountainous regions according to modularity, centrality index, and connectivity stability with the Gephi visual analytics output. The results showed that weighted centrality values of eco-access nodes increased by 17.4% and 24.1%, respectively, and the dispersion value of critical tourism links decreased by 12.7%. Our time-series data material, however, distinguishes a mechanism that we have coined as the routing perception bias. In conclusion, using a network-based modeling method resulted in reduced fragmentation within the eco-tourism network and higher resilience values. Future studies should use longitudinal hybrid designs to explore adaptive routing mechanisms to support eco-tourism infrastructure as an adjunct to regional development planning.

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