The potential impact of High Speed Rail development on Australian aviation

Bukovac, Sergej; Douglas, Ian

doi:10.1016/j.jairtraman.2019.01.003

Cited by 11 publications

(7 citation statements)

References 8 publications

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“…Both Li et al (2019) and Zhang and Zhang (2016) found for the Chinese case that FSR competes in particular with LCA for passengers. Bukovac and Douglas (2019) also observed for an Australian case that the introduction of the FSR could force the LCA providers to quit, while also leading to fewer FSA flights on the FSR routes. By considering the development history of the LCAs, Jiang and Li (2016) concluded that the wider geographical route coverage and higher degree of liberalization in the aviation sector makes LCA transport relatively more competitive vs. FSR in Europe, as compared to Japan.…”

Section: Market Effects Of Competition Between Fsr Lca and Fsamentioning

confidence: 79%

Effects of introducing low-cost high-speed rail on air-rail competition: Modelling and numerical analysis for Paris-Marseille

et al. 2020

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Given the trend of railway liberalization in Europe and Asia, we explore the effects of introducing low-cost highspeed rail as an answer to the railway reform on air-rail competition. In particular, by proposing a vertically differentiated model, we first derive the optimal pricing policies as well as the corresponding profits and market shares for low-cost high-speed rail (LCR), full-service high-speed rail (FSR) and air transport (Air). We do so for two types of LCR entrants, namely the incumbent owned entrant (to the FSR company) and the independently owned entrants. For both situations, we prove analytically that introducing LCR leads to reduced FSR and Air fares as well as to reduced Air traffic. The fare and traffic reductions increase with the passenger's time value and with the LCR travel time, while they decrease with the Air unit seat cost. Moreover, all LCR effects are stronger for an independently operated LCR. We apply our model to the Paris-Marseille route, based on data collected from publicly available sources. It is found that introducing an independently owned (incumbent owned) LCR on this route leads to 39% (33%) less air traffic, 20% (14%) less FSR traffic and a 37% (29%) increase in total rail traffic. Furthermore, this comes with increases of 2% (8%) in combined railway profit and 6% (5%) in total social welfare. These results support the decision of French policy makers to have LCR and FSR operated by the same company, as it comes with much higher combined railway profits and almost the same welfare increase as independently owned LCR. Further sensitivity analyses suggest that most LCR passengers would otherwise have traveled by FSR or Air, although LCR also attracts new passengers. In addition, offering a low-cost alternative is more effective if passengers value time more highly. Implications in terms of methodology and industry are provided.

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Section: Market Effects Of Competition Between Fsr Lca and Fsamentioning

confidence: 79%

Effects of introducing low-cost high-speed rail on air-rail competition: Modelling and numerical analysis for Paris-Marseille

et al. 2020

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“…The effect of HSR development is evident in several sectors, such as economic development [24] and the air transportation industry [1,2,17,18,[25][26][27][28][29][30][31][32][33], as well as the existing conventional railway industry [27]. A study on the competition between transport modes showed varied results on the competitive distance of HSR due to its relationship with the travel time.…”

Section: Introductionmentioning

confidence: 99%

“…(2010) found that the longest route length for HSR is not more than 750 km [34], while Chen (2017) found that the largest impact of HSR on airlines occurred at route lengths between 500 and 800 km [35]. An analysis of the relationship between travel time and the HSR market share indicated that HSR will dominate the market when the travel time when using HSR is below 3 h [32]. Another study found that the occupancy rate of HSR can reach 50-90% if the travel time is around 2-3 h [2].…”

Section: Introductionmentioning

confidence: 99%

Research on Passengers’ Preferences and Impact of High-Speed Rail on Air Transport Demand

et al. 2023

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The new high-speed rail (HSR) routes are expected to have a large impact on air transport demand. In some cases, HSR can be a complementary mode to air transport. However, a number of studies have pointed out that HSR can have a negative impact on air transport demand. Various approaches have been used to model mode choice behaviour, such as the discreet choice model, logistic regression and the analytical hierarchy process. OLS and MLE are two methods that are commonly used for parameter estimations. However, these approaches have some limitations. This study aims to understand the travel behaviour, mode choice model, travel variables and the impact of HSR operation on air transport demand through a systematic literature review. This study explores various approaches that are used to model mode choice and identify possible alternative approaches to overcome the limitations of current methods. The key variables that influence mode choice and the impact of HSR operation are elaborated in this study. Several points can be concluded from the analysis of the literature, such as: (1) the operation speed set by HSR should be reliable to enable it to compete with airplane travel time; (2) the model to represent mode choice behaviour should be derived from a suitable analysis method and Bayesian method is one of the alternatives for the parameter estimation; (3) there are various variables that are yet to be included in the current mode choice models, and they can be further explored to better present the needs of the customers; and (4) the impact of HSR operation on airplane travel demand, explained by previous studies, can be used as a reference for the policy maker in implementing transport projects.

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“…Considering aircraft are not the only source of emissions to take into account when making an inventory (ICAO, 2011), there is a need for a thorough comparative analysis of said sources which has only been globally developed in a few cases and using standard (simple) methodologies (Coppa, 2019;Mokalled et al, 2018). Different authors have carried out specific studies about each of the sources, in which they specifically analyze the contribution of Ground Access Vehicles (Trujillo, 2017;Bukovac & Douglas, 2019;Orth et al, 2015) and GSEs. These will be delved into in this study.…”

Section: Introductionmentioning

confidence: 99%

Quantification Model of Airport Ground Support Equipment Emissions

et al. 2022

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Emissions of aircraft support vehicles (called Ground Support Equipment or GSE) are produced by a series of factors depending mostly on the following: aircraft arrivals and departures and time spent in parking stands, aircraft type, operation type (traditional, with scale or low cost), geometrical arrangement of the apron and fleet charactistics, including power and years of use, among others. The aim of this work is to develop an integrated model identifying the required GSEs and the gaseous emissions produced by them due to apron traffic and aircraft service. In order to do this, in the case of service, the model proposes considering loading and unloading and dividing them into the following stages: wait, connection, service and disconnection. The advantage of the proposed model over other proposals is that this model aims at copying the real movements of support vehicles in service according to the aircraft and its corresponding operation (Full-Service, Low-Cost or scale). In order to do that, the program discretizes GSE movements into loading and unloading processes through different stages and for circulation where the tool itself sets the parameters of the apron.

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The potential impact of High Speed Rail development on Australian aviation

Cited by 11 publications

References 8 publications

Effects of introducing low-cost high-speed rail on air-rail competition: Modelling and numerical analysis for Paris-Marseille

Effects of introducing low-cost high-speed rail on air-rail competition: Modelling and numerical analysis for Paris-Marseille

Research on Passengers’ Preferences and Impact of High-Speed Rail on Air Transport Demand

Quantification Model of Airport Ground Support Equipment Emissions

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