Multi-Agent Simulation of Incentive Mechanism Optimization for Enhancing Rural Community Participation in Summer-Resort Wellness Destinations and Its Household Income Effects
- DOI
- 10.2991/978-2-38476-577-5_140How to use a DOI?
- Keywords
- Multi-Agent Simulation; Rural Community Participation; Summer-Resort Wellness Tourism; Incentive Mechanism; Household Income Effect; Agent-Based Modeling
- Abstract
This study constructs a multi-agent simulation framework to evaluate incentive mechanism optimization for rural community participation in summer-resort wellness destinations. Agent-Based Modeling incorporating residents, government, enterprises, and tourists is calibrated using household surveys (n=486) from Guizhou Province, China. Results demonstrate that the full incentive combination achieves 68.4% participation rate, 45.3% income growth, and Gini coefficient reduction from 0.358 to 0.315. Sensitivity analysis identifies social network influence (PRCC=0.72) and revenue sharing ratio (PRCC=0.78) as primary leverage parameters. Intermediate zone residents (1-3 km from tourism center) exhibit strongest responsiveness with 37.5 percentage point participation gains. Findings suggest prioritizing skill training and revenue sharing mechanisms with spatially differentiated resource allocation.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Rui Li AU - Puwei Zhang PY - 2026 DA - 2026/05/15 TI - Multi-Agent Simulation of Incentive Mechanism Optimization for Enhancing Rural Community Participation in Summer-Resort Wellness Destinations and Its Household Income Effects BT - Proceedings of the 2026 5th International Conference on Social Sciences and Humanities and Arts (SSHA 2026) PB - Atlantis Press SP - 1372 EP - 1379 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-577-5_140 DO - 10.2991/978-2-38476-577-5_140 ID - Li2026 ER -