Identifying influential airports in airline network based on failure risk factors with TOPSIS

Du, Yuxian; Lin, Xi; Pan, Ye; Chen, Zhaoxin; Xia, Huan; Luo, Qian

doi:10.1016/j.chaos.2023.113310

Cited by 6 publications

(3 citation statements)

References 62 publications

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“…For each infected node, one randomly susceptible neighbor is infected with probability at each step. In weighted networks, node infects node with probability 20 , where is a positive constant and is the largest value of all. The faster the number of immune nodes increases in the network, the greater the influence of the initial set of infected nodes, and the greater the validity and effectiveness of the influential node identification method.…”

Section: Methods and Modelmentioning

confidence: 99%

“…Du et al proposed a novel method for identifying influential airports by defining three risk factors of an airport’s failure mode based on complex network theory and the transportation mechanism of airports in airline network flight flow. The Susceptible-Infected model is applied to evaluate the performance of the proposed method 20 . Yang et al proposed an improved k-shell decomposition method to identify influential nodes, by highlighting the significance of the remaining network and neighboring nodes based on complex network theory.…”

Section: Related Workmentioning

confidence: 99%

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Layout analysis of the RCEP international airline network based on hub identification using improved contribution matrix

Yang,

Chi,

Huang

et al. 2024

Sci Rep

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The signing of the Regional Comprehensive Economic Partnership agreement brings new opportunities for the development of international air transportation. Faced with fierce competition, it is worth studying how hub airports should enhance competitiveness, and how low-cost carriers and full-service carriers should optimize the RCEP international airline network layout for better development. Aiming at providing suggestions for the development of hub airports, low-cost and full-service carriers in the RCEP international airline network, this paper identifies the hub airports, analyzes the layout of the RCEP international airline network, and the multi-layered characteristics based on an improved contribution matrix using data from 2010 to 2019 collected from the Official Airline Guide (OAG). This method comprehensively considers attributes of hub airports and the multi-layered characteristics of the airports and routes. The layout analysis indicates that the RCEP international transportation market presents a more open environment for competition and cooperation where base carriers are often the biggest supporters of hub construction. The multi-layered characteristics analysis reveals that low-cost carriers contribute more towards opening up new RCEP routes than full-service carriers. It is advised that carriers newly entering the RCEP international aviation transportation market and low-cost carriers dedicate to establishing new routes around their hub airports to monopolize this market and enhance their market share, whilst full-service carriers consolidate existing routes and increase route density to achieve economic benefits.

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Section: Methods and Modelmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Layout analysis of the RCEP international airline network based on hub identification using improved contribution matrix

Yang,

Chi,

Huang

et al. 2024

Sci Rep

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show abstract

“…This approach employs belief entropy and negation information within the framework of the Dempster–Shafer evidence theory (D-S). Du et al [ 28 ] introduced an innovative method for identifying influential airports in airline networks based on failure risk factors using technique for order preference by similarity to ideal solution (TOPSIS). To address the limitations of existing FMEA, Fu et al [ 12 ] proposed an innovative approach for prioritizing risks by utilizing the type-2 intuitionistic fuzzy VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) and cumulative prospect theory.…”

Section: Introductionmentioning

confidence: 99%

Risk assessment of crane operation hazards using modified FMEA approach with Z-number and set pair analysis

2024

Heliyon

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

Xu,

Shalaby,

Feng

et al. 2024

Urban Rail Transit

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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.

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Identifying influential airports in airline network based on failure risk factors with TOPSIS

Cited by 6 publications

References 62 publications

Layout analysis of the RCEP international airline network based on hub identification using improved contribution matrix

Layout analysis of the RCEP international airline network based on hub identification using improved contribution matrix

Risk assessment of crane operation hazards using modified FMEA approach with Z-number and set pair analysis

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

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