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Agent-based simulations of China inbound tourism network
Jinfeng Wu1, Xingang Wang2, Bing Pan3
1School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710062, China.
Scientific Reports
|August 25, 2019
Summary
Closing a port city significantly impacts China's inbound tourism network. Upgrading distant, key non-port cities is the best strategy for boosting overall tourist volume and development.
Area of Science:
- Complex Systems Science
- Tourism Network Analysis
- Agent-Based Modeling
Background:
- China's inbound tourism system is a complex network with dynamic interactions.
- Understanding tourist behavior responses to system perturbations is crucial for effective management.
Purpose of the Study:
- To construct an agent-based network model for China's inbound tourism system.
- To investigate tourist behavior responses to various scenarios using numerical simulations.
- To identify optimal strategies for inbound tourism development and management.
Main Methods:
- Agent-based network modeling
- Numerical simulation of tourist behavior
- Analysis of system perturbations (city closure/opening, attractiveness changes)
Main Results:
- Port city closures have a greater impact on overall visitation than non-port city closures.
- New port cities attract regional tourists but negligibly affect total volume or distribution.
- Upgrading geographically dispersed, important non-port cities most effectively increases overall tourist volume.
Conclusions:
- The study highlights the intricate dynamics of tourism networks.
- Findings offer valuable insights for developing and managing China's inbound tourism.
- Strategic city upgrades, particularly in non-port hubs, are recommended for maximizing tourism growth.
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