Optimizing High-Speed Rail and Air Transport Intermodal Passenger Network Design

Allard, Ryan F.; Moura, Filipe

doi:10.3141/2448-02

Cited by 9 publications

(4 citation statements)

References 13 publications

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“…Under certain conditions, HSR has competitive advantages; researchers have confirmed the conventional theory that HSR attracts more passengers than air transportation within distances of 300-500 km [13], and HSR would be competitive against air transportation in terms of network connectivity, total travel time, and cost efficiency in the short-medium-haul market [14]. As mentioned above, HSR's competitive advantage is not absolute; it decreases with increasing passenger travel costs [15]. This relationship between competition and complementarity has also contributed to cooperation and integration; e.g., airlines use railway services as additional spokes in the networks of hub airports to complement their services, and the cooperation between air transportation and HSR also leads to increased demand for railways [7].…”

Section: Literature Reviewmentioning

confidence: 83%

Analysis of the Transfer Time and Influencing Factors of Air-Rail Integration Passengers: A Case Study of Shijiazhuang Zhengding International Airport

Jiang

Wang²,

Huang³

2022

Sustainability

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As China’s high-speed rail and civil aviation gradually move from a competitive relationship to a cooperative relationship, air-rail integration services (ARISs) have begun to be promoted, and an increasing number of passengers are choosing the combined travel mode of high-speed rail and aviation. As two long-distance transportation modes are involved, transfer time also affects transfer service satisfaction, and the factors affecting the transfer time of ARIS need to be further clarified. In this study, a stated preference (SP) survey on the transfer reservation time of ARIS passengers was conducted, the perception accuracy of the transfer reservation time was analyzed, and the influencing factors of the transfer reservation time in each link were analyzed by using a multivariate ordered logistic regression model. The results show that the average transfer time of air-rail combined transportation passengers is 102 to 128 min; more than half of passengers’ reservation time is reasonable; and passengers’ genders, educations, occupations, incomes, travel modes, costs, and distances have different degrees of impact on the transfer reservation time. This study holds a certain guiding significance for improving the service quality of air-rail intermodal transportation and improving transfer efficiency and provides a theoretical basis for personalized and customized services for air-rail intermodal passengers.

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Section: Literature Reviewmentioning

confidence: 83%

Analysis of the Transfer Time and Influencing Factors of Air-Rail Integration Passengers: A Case Study of Shijiazhuang Zhengding International Airport

Jiang

Wang²,

Huang³

2022

Sustainability

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“…This model has been implemented in real situations, with real networks and actual data for the transition probabilities and costs [22]. In the study of [23], a method for analysing the potential cost components of intermodal networks used in their design has been presented. This analysis could be useful both for airlines and rail companies in a qualitative analysis of their potential for intermodality.…”

Section: Literature Reviewmentioning

confidence: 99%

Multiple Criteria Evaluation and the Inverse Hierarchy Model for Justifying the Choice of Rail Transport Mode

Sivilevičius

Maskeliūnaitė

2018

PROMET

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The choice of a particular mode of transport as an alternative to another one is subjective and usually based on an individual passenger’s approach to the evaluation of advantages and disadvantages of some particular means of transport. The paper presents the methods of analysing the reasons for passengers’ choice of travelling by train as an alternative to using air transport and the results obtained in the research. The 16 criteria (sub-criteria), describing the advantages of travelling by rail over air travel, are defined. The data of the survey questionnaire filled by 52 passengers of the Vilnius–Moscow train and the ranks assigned by them to the considered criteria are described. The average ranks of all 16 criteria and their normalized subjective weights are calculated by using a new method of average rank transformation into weight (ARTIW). The average ranks assigned by the passengers of the train to sub-criteria and the calculated global weights show what criteria are most important. Using the inverse hierarchy model based on the sub-criteria weights, the most and the least important groups of criteria are determined. The institutions and companies engaged in passenger transportation by rail, which give priority to improving the services described by the most important criteria, can make this mode of transport more attractive to people.

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“…Te research indicated that the longer the high-speed rail operation time, the higher the travel satisfaction of civil aviation passengers. Allard and Moura [9] created an optimal network model combining the travel costs of operators and passengers and noted that higher passenger travel costs make high-speed rail less competitive. By building a theoretical model, Jiang et al [10] found various efects of air-rail cooperation's diferent forms on market structure and social welfare.…”

Section: Introductionmentioning

confidence: 99%

Optimizing the Transfer Process of Air-Rail Integration Services: A Simulation Approach

Jiang

Yang

Huang

2023

Journal of Advanced Transportation

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With the progress of regional integration in China and the growth of passenger travel demand, a single travel mode has been unable to meet passengers’ cross-regional, multimodal, and personalized travel needs. Air-rail integration service (ARIS) is gradually catching on with travellers. Compared with developed countries, ARIS remains in its infancy in China, with a low penetration rate. Against this backdrop, this study presents an SP survey of ARIS passengers at Shijiazhuang Zhengding International Airport as an example and analyses the factors affecting their transfer process using multiple ordinal logistic regression. The satisfaction analysis results help to construct a simulation model of ARIS of Shijiazhuang Zhengding International Airport by using AnyLogic to verify the optimization effect. The research results show a significant impact on the ARIS transfer process by gender, education, occupation, travel mode, travel cost, location of the shuttle bus, arrival frequency of shuttle bus, manual baggage check-in service, self-service check-in, and the performance of security check equipment. The adoption of optimization measures will reduce ARIS shuttle bus, baggage check-in, and security check-in times by 68%, 50%, and 45%, respectively.

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Optimizing High-Speed Rail and Air Transport Intermodal Passenger Network Design

Cited by 9 publications

References 13 publications

Analysis of the Transfer Time and Influencing Factors of Air-Rail Integration Passengers: A Case Study of Shijiazhuang Zhengding International Airport

Analysis of the Transfer Time and Influencing Factors of Air-Rail Integration Passengers: A Case Study of Shijiazhuang Zhengding International Airport

Multiple Criteria Evaluation and the Inverse Hierarchy Model for Justifying the Choice of Rail Transport Mode

Optimizing the Transfer Process of Air-Rail Integration Services: A Simulation Approach

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