Invulnerability Analysis of Traffic Network in Tourist Attraction Under Unexpected Emergency Events Based on Cascading Failure

A critical threshold for network load (δ < 0.7) can prevent large-scale cascading failures in tourist traffic networks, such as the Summer Palace in Beijing, which exhibits small-world characteristics. The study reveals that increasing the capacity of high-risk nodes—ranked by cascading failure rate (CFR)—can reduce failure scale by up to 63.66%. Researchers simulated emergency events using load-capacity models and attack strategies, identifying key factors like node capacity, adjacency relationships, and load distribution as significant influencers on failure dynamics.

Li, W., Han, Y., Wang, P., & Guan, H. (2019). Invulnerability Analysis of Traffic Network in Tourist Attraction Under Unexpected Emergency Events Based on Cascading Failure. IEEE Access, 7, 147383–147398. https://doi.org/10.1109/access.2019.2946737