Journal
RELIABILITY ENGINEERING & SYSTEM SAFETY
Volume 222, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.ress.2022.108411
Keywords
High-speed railway network; Accessibility; Network performance; Railway station; Transportation service
Funding
- National Natural Science Foundation of China (NSFC) [61903023, 71901020]
- State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University [RCS2021ZT006]
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This paper models the high-speed railway as a three-layer network and evaluates its integrated performance from the view of transportation accessibility. The prioritization of rail stations and comparison of their performances in different layers are conducted to analyze the limitations on the total integrated performance. A case study is conducted to verify the feasibility and superiority of the model. The findings provide management implications for rail transportation planning, organization, and operations.
High-speed railways, as dominant transportation patterns, constitute a large-scale complex network. Network performance is critical for high-level transportation services in transportation management. However, existing studies generally adopt pure topological indicators to evaluate performance in a single network and without considering the specific characteristics of rail transportation. This paper modeled the high-speed railway as a three-layer network including topological, functional, and service layers and assessed the integrated network performance from the view of transportation accessibility. In addition, the rail stations were prioritized and their performances in different layers were compared to analyze whether the total integrated performance was restricted by its connection abilities, functional capacities, and transportation service level. Finally, a case study of the high-speed rail network in China and comparisons with other traditional evaluation methods were conducted to verify the feasibility and superiority of the model. The findings of this study enable to provide management implications for rail transportation planning, organization, and operations.
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