Deployment strategy for customized bus stops at large transport terminals based on fusion clustering method
Document Type
Journal Article
Publication Date
2026
Subject Area
place - asia, place - urban, mode - bus, infrastructure - stop, planning - methods
Keywords
Customized bus, K-means, hierarchical clustering, stop deployment strategy
Abstract
With the increasing demand for transportation, optimizing transfer services has become a significant challenge. Few studies have focused on Customized Bus (CB) stop deployment as a topic, and existing models require further optimization in comprehensiveness and applicability. To address these issues, a fusion clustering method (HC_K-means) is introduced to optimize CB stop deployment at large transport terminals. Simulation experiments at Nanjing South Railway Station in China validate HC_K-means under varying traffic demands, demonstrating its efficiency in planning temporary stops for dispersed and concentrated demand points. Compared with baseline models, HC_K-means demonstrates superior performance regarding the number of stops and passengers' walking distance. Across all traffic demand intensities, HC_K-means consistently outputs the minimum objective function value. Additionally, HC_K-means achieves optimal or nearly optimal service rates within a 500-meter service radius. Finally, the trend of the optimal number of stops is revealed under different conditions, which guides operators in personalized adjustments.
Rights
Permission to publish the abstract has been given by Taylor&Francis, copyright remains with them.
Recommended Citation
Zheng, Y., Yin, Z., Zhang, X., Guo, R., & Li, W. (2026). Deployment strategy for customized bus stops at large transport terminals based on fusion clustering method. Transportation Planning and Technology, 49(5), 1123-1149.
