Discrete Choice Modelling and Air Travel Demand

Garrow, Laurie A.

doi:10.4324/9781315577548

Cited by 58 publications

(68 citation statements)

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“…Empirical results demonstrate inadequacy of multinomial logit choice model for itinerary share prediction [14,18]. These results indicate that the itineraries which are closer to each other by departure time have great substitution or competition among them in comparison with others [19].…”

Section: Introductionmentioning

confidence: 93%

“…Independence of Irrelevant Alternatives (IIA) implies that the ratio of choice probabilistic is independent from the attributes of any other alternatives. The nested logit model incorporates more realistic substitution patterns by relaxing the independence assumption of error terms of the utility function [14]. Discrete choice model parameters are estimated by a maximum likelihood estimation algorithm [15].…”

Section: Introductionmentioning

confidence: 99%

“…Discrete choice model parameters are estimated by a maximum likelihood estimation algorithm [15]. Di erent authors reviewed various discrete choice models and their applications [14,16,17].…”

Section: Introductionmentioning

confidence: 99%

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Intelligent Choice-Based Network Revenue Management

Etebari

Najafi

2016

Scientia Iranica

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Abstract. Choice-based network revenue management concentrates on importing choice models within the traditional revenue management system. Multinomial logit is a popular and well-known model which is the basic choice model in revenue management. Empirical results indicate inadequacy of this model for predicting itinerary shares; therefore, more realistic models, such as nested logit, can be proposed for substituting it. Incorporating complex choice models in the optimization module based on statistical tests without considering the complexity of the obtained mathematical model would lead to increase in the complexity of a system without obtaining signi cant improvement. Considering the in uence of discrete choice model on the structure of optimization model, it is necessary to analyze the interaction between speci c discrete choice and optimization models. In this paper, a knowledge acquisition subsystem is introduced for providing intelligence and considering the most suitable choice models. We develop the feedforward multilayer perceptron arti cial neural network for forecasting revenue improvement percent obtained by using more realistic choice models. The obtained results demonstrate that the new system will decrease the complexity of the system, simultaneously, while preserving revenue of the rm. According to the computational results, by increasing the resource restriction, the process of incorporating more realistic choice model will be more important.

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Section: Introductionmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

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Intelligent Choice-Based Network Revenue Management

Etebari

Najafi

2016

Scientia Iranica

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“…Utilities can be divided into two parts, the systematic or observable component (V) and the disturbance or random component [19], [21], [22]. In specifying the systematic part, the linear combination of the estimated parameters and the attributes of the alternatives are taken.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Estimating the Environmental Effects of the Car Shifting Behavior Along Edsa

Roxas

Fillone

Roquel

2018

GEOMATE

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Metro Manila is the most populated region in the country. It is the largest contributor to the economy of the country at around 40 percent. Situated in this metropolis is the Epifanio Delos Santos Avenue (EDSA), which currently serves an estimated average of 330,000 vehicles daily. This number has greatly increased since the early 2000s. Because of EDSA's significance, many transportation-related studies had focused on it. Among the largest studies is the Metro Manila Urban Transportation Integration Study (MMUTIS) that was completed in 1999 and has recently been updated through the MMUTIS Update and Capacity Enhancement Project (MUCEP). There is also another ongoing project entitled Integrated and Optimal Scheduling of a Public Transport System in Metro Manila (PUBFix), which is funded by the government (DOST-PCIEERD). The project intends to improve the public transportation system in the metropolis, specifically bus operation along EDSA. In this research, the aim is to formulate stated preference (SP) logit choice models in order to predict the mode choices of commuters along EDSA. Such results are important in order to determine the changes in travel behavior of commuters when certain policies and measures are introduced. An EMME model is also prepared for this study in order to quantify the differences between baseline and hypothetical scenarios. Aside from quantifying the difference of these scenarios in terms of environmental effects, other traffic parameters were also calculated in order for transport policymakers to be guided in considering more appropriate measures.

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“…Data gathering for all flights in 365 days of year is possible but as the amount of data is huge; therefore, in this study a sample of data from two weeks (central week of June and central week of September) was downloaded and then averaged for the overall year. This is a standard practice in the airline industry to evaluate yearly data, considering the variation in flight schedules between the high peak and other times (Garrow 2010). The reference year for the study database was 2010 but data for the years 2011, 2012 and 2013 were used as well.…”

Section: Emissions Datamentioning

confidence: 99%

Analysis of evolution of commercial air traffic CO2 emissions in the European Union

Aminzadeh¹

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The environmental sustainability of the air transport industry, as a key player in global social and economic development, has become a major issue in the agenda of the industry´s stakeholders during the past decade. On both international and local levels, policy makers, scientists and environmentalists, manufacturers and airlines have begun to collaborate on fuel efficiency improvements and greenhouse gas emissions reductions in the sector.This dissertation evaluates the structure and distribution of air traffic in European Union member states. The data presented here has been extracted from the statistical office of the European Union (Eurostat) and databases compiled by the The European Organization for the Safety of Air Navigation (EUROCONTROL). The focus of this study is on commercial air traffic and CO2 emissions in the European Union in 2010 and its evolution through 2013.The extracted data for all EU countries consist of variables such as: number of flights, number of passengers, freight tonnes, revenue passenger kilometers (RPKs) and revenue tonne kilometers (RTKs), fuel consumption and CO2 emissions. The majority of EU air transport traffic is concentrated in six countries: France, Germany, Italy, The Netherlands, Spain and The United Kingdom, which in 2010 represented approximately two thirds of the total EU flights. The data is then segmented per distance bands, at intervals of 500 km to see the concentration of traffic in different distance bands and compare their share with other modes of transport. The fuel efficiency trend in the six largest EU aviation markets from 2010 to 2013 is analyzed and the potential reasons for the changes are investigated. The evolution in the airline fleet composition during the last decade is presented as one of the reasons for the improvement in fuel efficiency, measured by fuel efficiency parameter measuring fuel consumption per RTK (passengers + freight). Additionally, the differences in terms of fuel efficiency among the various airline business models (network carriers, low cost carriers, etc.) and aircraft types are studied. Moreover, future CO2 emissions are projected, taking into consideration three different traffic growth and efficiency improvement scenarios.The results of this analysis indicate a slight reduction in the traffic, both for passengers and freight about (-0.8%) but more importantly, a reduction in CO2 emissions (-4.3%), which is the result of an improvement in fuel efficiency parameters (-3.5%) during these three years. There has been a relevant change in the fleet composition in the last ten years, with the replacement of older models for more efficient ones, and a shift to larger aircraft, particularly in the regional segment. Traffic has decreased in shorter distances (internal EU traffic), but increased in more efficient long-range flights (extra-EU traffic), resulting also in an improvement in the efficiency parameters as average aircraft size and stage length increases. This investigation concludes that technological efficiency in...

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Discrete Choice Modelling and Air Travel Demand

Cited by 58 publications

References 0 publications

Intelligent Choice-Based Network Revenue Management

Intelligent Choice-Based Network Revenue Management

Estimating the Environmental Effects of the Car Shifting Behavior Along Edsa

Analysis of evolution of commercial air traffic CO2 emissions in the European Union

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