The Chain Effect of B&B Cluster Driving Tourism Income Increment in Heritage Sites: Economic Multiplier Simulation of LoRa Sensor Network and System Dynamics

Researchers have identified a critical inflection point for home stay cluster density that maximizes tourism revenue while minimizing the decay of heritage integrity, addressing a core challenge in balancing economic development and ecological protection at UNESCO World Heritage Sites. This discovery was achieved through a three-in-one technical framework combining LoRa sensor networks, system dynamics modeling, and nonlinear threshold analysis. The study demonstrated that dynamic regulation mechanisms, enabled by high-precision monitoring of tourist behavior (with 1.37–2.68 m accuracy) and consumption trajectories, can significantly boost tourism revenue—doubling local industrial chain added value—and increase return visit rates by over 50%. Empirical validation in the ancient villages of Xidi and Hongcun supports the broader applicability of this approach to karst heritage sites with similar cluster characteristics.

Jin, S. (2026). The Chain Effect of B&B Cluster Driving Tourism Income Increment in Heritage Sites: Economic Multiplier Simulation of LoRa Sensor Network and System Dynamics. Discrete Dynamics in Nature and Society, 2026(1). Portico. https://doi.org/10.1155/ddns/2037837