Evaluation Model of Tourism Congestion Based on Space Syntax and Neural Network Method: A Case Study of Kulangsu Xiamen

A novel evaluation model integrating space syntax and neural network methods reveals critical insights into pedestrian movement patterns and tourism congestion within Kulangsu, a historic international settlement. The model identifies conflicts between road choices and pedestrian flows, as well as the pressure on key attractions, offering a data-driven assessment of current conditions. This approach provides actionable recommendations for balancing historical preservation with sustainable tourism development, addressing long-standing challenges in urban planning.

Wu, X. (2019). Evaluation Model of Tourism Congestion Based on Space Syntax and Neural Network Method: A Case Study of Kulangsu Xiamen. 2019 International Joint Conference on Information, Media and Engineering (IJCIME), 170–174. https://doi.org/10.1109/ijcime49369.2019.00042