Key corridor identification in multi-objective highway networks based on feature lines

To enhance the overall accessibility and operational efficiency of highway networks, this paper proposes an integrated analytical approach based on node importance, network reliability, and critical link identification to identify key transportation corridors within highway networks. Initially, a comprehensive node importance measurement method is developed by integrating static geometric characteristics and dynamic traffic attributes of complex networks. The weights of static indicators are calculated using an improved entropy weight method, while the dynamic importance of nodes is assessed based on the h-index, resulting in a ranked node importance list. Subsequently, from the perspective of network reliability, critical nodes are identified and ranked by simulating node failure scenarios through attack strategies, evaluating their impact on network connectivity and travel time. Further, critical links are identified utilizing the Stochastic User Equilibrium (SUE) model and Ant Colony Optimization (ACO). Finally, a multi-objective key corridor identification method based on feature lines is formulated by comprehensively considering node importance, network reliability, and critical road segments. An empirical analysis is conducted on the highway network across 11 counties/districts of Zhaotong City, Yunnan Province. Three key transportation corridors are ultimately identified:Ludian County-Zhaoyang District-Daguan County-Yanjin County, Ludian County-Zhaoyang District-Daguan County-Yongshan County, Ludian County-Zhaoyang District-Yiliang County.