Prediction of tourist carrying capacity of scenic spots based on Neural Network

Author:

Zhou Yan

Publisher

Elsevier BV

Subject

General Engineering

Reference17 articles.

1. Wang, X.Y., Lu, X. J., & Zhu, W. L. (2020). Analysis and evaluation of the influencing factors of tourism development in major tourism cities in China Economic Geography, 40 (5), 12,198-209.

2. Estimating method of dynamic bearing capacity of scenic spots and its application;Ge;Journal of Natural Resources,2021

3. Zhang, C. Y., Zhou, B., & Cheng, S. M., (2020). Study on landscape carrying capacity evaluation of ecotourism areas in China based on PSR model Ecological economy, 36 (8), 5, 128-132.

4. Tourist carrying capacity at Islas Marietas National Park: An essential tool to protect the coral community;Cupul-Magaña;Applied Geography,2017

5. Impact of walking speed on tourist carrying capacity: The case of Maiji Mountain Grottoes, China;Chen;Tourism Management,2021

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