Identifying Station Importance in Urban Rail Transit Networks Using a Combination of Centrality and Time Reliability Measures: A Case Study in Beijing, China

• Published in: Urban rail transit Vol. 10; no. 4; pp. 317 - 334
• Main Authors: Xu, Xiaohan, Shalaby, Amer, Feng, Qian, Huang, Ailing
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 01-12-2024; Springer Nature B.V; SpringerOpen
• Subjects: Automotive Engineering; Case studies; Computational Intelligence; Engineering; Feasibility studies; Foundations; Geoengineering; Hydraulics; Network reliability; Original Research Papers; Railroads; Station importance; Time measurement; Time reliability; Urban rail; Urban rail transit network; Weighted TOPSIS; Beijing China; China; Time reliability; Weighted TOPSIS; Station importance; Urban rail transit network
• ISSN: 2199-6687; 2199-6679
• DOI: 10.1007/s40864-024-00213-9

Time reliability (TR) is a critical factor that affects the efficiency and service quality of the urban rail transit network (URTN). However, previous studies have not incorporated TR into the evaluation of URTN station importance, focusing instead on basic centrality measures. Therefore, this paper proposes a new metric of station-based TR for evaluating and ranking URTN station importance. The new metric in combination with traditional centrality measures was used by the weighted Technique for Order of Preference by Similarity to Ideal Solution (weighted TOPSIS) to identify the combined significance level of individual URTN station importance and rank them accordingly. To investigate the performance of this method, we exploit deliberate attacks on the top-ranked stations through different methods. A case study of Beijing’s URTN during the morning peak hour showed that the proposed method is generally a better indicator for identifying station importance in maintaining network connectivity. The case study also demonstrated the feasibility and validity of the model. This study can provide recommendations for the planning and operation of rail transit systems and can inform the effective design of station protection strategies.