Volume 41 Issue 6
Dec.  2023
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YANG Wendong, PENG Jiyuan, JIANG Yu. A Two-stage Capacity Control Method for Air-rail Passenger Choice Behavior[J]. Journal of Transport Information and Safety, 2023, 41(6): 124-131. doi: 10.3963/j.jssn.1674-4861.2023.06.014
Citation: YANG Wendong, PENG Jiyuan, JIANG Yu. A Two-stage Capacity Control Method for Air-rail Passenger Choice Behavior[J]. Journal of Transport Information and Safety, 2023, 41(6): 124-131. doi: 10.3963/j.jssn.1674-4861.2023.06.014
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A Two-stage Capacity Control Method for Air-rail Passenger Choice Behavior

doi: 10.3963/j.jssn.1674-4861.2023.06.014

  • College of Civil Aviation, Nanjing University of Aeronautics & Astronautics, Nanjing 211106, China

  • Received Date: 2023-07-19
    Available Online: 2024-04-03
    Abstract
  • To address the inadequacy of theories and the complexity of passenger choice behavior, a two-stage capacity control model is established for air-rail intermodal capacity control. In the first stage, an air-rail intermodal passenger choice model is established. The shadow attraction value is introduced to address the shortcomings of existing choice models that overlook competition and limit passengers'choices. Then, the proposed choice model is verified based on the nested Logit model. In the second stage, a network capacity control model is established by maximizing intermodal expected revenue. The algorithm is proposed based on the branch and bound method, which is used to rationalize product offerings. The case study is carried out by a flight with 150 seats. A comparative analysis is also conducted to verify the expected revenue under different levels of competition. The results indicate that 91 seats are allocated to passengers in the aviation market and 59 seats to passengers in the intermodal market. The total expected revenue is 160 600 RMB. To airlines, products with lower price but stronger competitiveness are more valuable when considering product competition. By introducing shadow attraction value, the two-stage model captures the demand between the basic attraction model and independent demand model. Compared to the independent demand model, the model can increase the expected revenue by around 4%. The study illustrates that airlines can effectively cope with the impact of competition by maintaining the total number of seats for non-intermodal products and intermodal products.

     

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