Research on the Tourist Flow Feature of Scenic Area Based on Fractal Statistical Model — A Case of Zhangjiajie

Tourist flow in Zhangjiajie's Wulingyuan and Tianmen Mountain scenic spots exhibits distinct seasonal patterns, with significant fluctuations in spring and autumn, low visitor numbers in winter, and a pronounced peak during April-May and September-October, accounting for over half of annual tourism. Fractal analysis reveals three non-scale ranges tied to tourist flow dynamics, highlighting persistent peak-season congestion despite efforts to optimize scenic area performance. The study applies wavelet transform to uncover nonlinear cyclical patterns in tourist behavior, offering insights for sustainable management of this UNESCO World Heritage Site.

DU, S., BAHADDAD, A. A., JIN, M., & ZHANG, Q. (2022). RESEARCH ON THE TOURIST FLOW FEATURE OF SCENIC AREA BASED ON FRACTAL STATISTICAL MODEL — A CASE OF ZHANGJIAJIE. Fractals, 30(02). https://doi.org/10.1142/s0218348x2240103x