Modelling the demand for medium distance air travel with the mixed data estimation method

Ortúzar, Juan de Dios; Simonetti, C

doi:10.1016/j.jairtraman.2008.08.002

Cited by 40 publications

(28 citation statements)

References 12 publications

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“…The combined revealed and stated preference data analysis, as performed by Ortúzar and Simonetti (2008), can overcome the traditional drawbacks of revealed preference studies; that is, the lack of quality in fare data and the definition of the individual choice set.…”

Section: Resultsmentioning

confidence: 99%

“…Bhat (1997) and Koppelman and Wen (2000) examine intermodal competition in the Toronto-Montreal passenger market. Ortúzar and Simonetti (2008) and Park and Ha (2006) investigate the passenger market between Santiago and Concepción in Chile and Seoul and Deagu in South Korea, respectively. Bhat (1997) uses a revealed preference dataset from 1989 to examine passenger behaviour in the Toronto-Montreal passenger market.…”

Section: Literaturementioning

confidence: 99%

“…The ranked order between the explanatory variables does not change in comparison to Bhat (1997) and among the different specifications: travel time remains the most important decision variable for passengers in the Toronto-Montreal passenger market. Ortúzar and Simonetti (2008) use mixed stated and revealed preference data to investigate passenger choice among airplane, fictitious high-speed train, regular train services, and bus alternatives in the Santiago-Concepción passenger market. They estimate nested logit models using travel time, fare, comfort, and service delay as explanatory variables for low and high income samples, respectively.…”

Section: Literaturementioning

confidence: 99%

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Intermodal competition in the London–Paris passenger market: High-Speed Rail and air transport

Behrens

Pels

2012

Journal of Urban Economics

188

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in Abstract.This paper studies inter-and intramodal competition in the London-Paris passenger market. Using revealed preference data, we estimate nested and mixed multinomial logit models to examine passenger behaviour in the London-Paris market. We present a case study on the relocation of Eurostar services from Waterloo International to St Pancras International station.The results show that competition is present in this market. Demand is elastic, and passengers are heterogeneous in their valuation of fares and accessibility. Aviation and high-speed rail are homogenous in unobserved effects. The large market share of the Eurostar and the withdrawal of aviation alternatives indicate that competition will decline in the long-run.

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Section: Resultsmentioning

confidence: 99%

Section: Literaturementioning

confidence: 99%

Section: Literaturementioning

confidence: 99%

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Intermodal competition in the London–Paris passenger market: High-Speed Rail and air transport

Behrens

Pels

2012

Journal of Urban Economics

188

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“…Their results indicate that the HSR is more competitive in shorter routes like Madrid-Zaragoza and Barcelona-Zaragoza, than in other routes in which air traffic is more intense (Madrid-Barcelona). A similar analysis is conducted by Ortúzar and Simonetti (2008), who used data on revealed and mix preferences to analyse passenger modal choice among air transport, conventional trains, buses and a fictitious HSR operating the route Santiago -Concepción (Chile).…”

Section: Literature Reviewmentioning

confidence: 99%

When trains go faster than planes: The strategic reaction of airlines in Spain

Jiménez

Betancor

2012

Transport Policy

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in EconStor may AbstractPlans for the development of high speed railways lines (HSR) in Spain are widespread. At the beginning of 2010 four HSR lines were operating in routes where the air transport mode used to be dominant. In this paper we examine through econometric means the air carriers' reaction to these HSR entrances by using data at the route level. We test whether the HSR have changed both, the airlines' frequencies and the market shares. Our results show that it has reduced on average the number of air transport operations by 17 percent. On the other hand the demand has increased substantially, though the weight of air transport in the total market has been reduced, as it has been reduced the weight of the dominant Spanish air carrier Iberia on air markets.

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“…Regarding the methodology, most previous studies used multinomial logit (e.g., Skinner, 1976;Harvey, 1987) or nested logit (e.g., Pels et al, 2000Pels et al, , 2001Pels et al, , 2003, while there are some that employed probabilistic choice set multinomial logit (e.g., Başar and Bhat, 2004) and weighted conditional logit (e.g., Ishii et al, 2009). In terms of data, previous work used either revealed preference data (e.g., Pels et al, 2001Pels et al, , 2003Başar and Bhat, 2004;Zhang and Xie, 2005;Hess andPolak, 2005a,b, 2006;Ishii et al, 2009;Pels et al, 2009), stated preference data (e.g., Skinner, 1976;Harvey, 1987;Proussalogloua and Koppelman, 1999;Hensher et al, 2001;Zhang and Xie, 2005;Hess et al, 2007;Loo, 2008;Ishii et al, 2009;Hess, 2010;Koster et al, 2011;Marcucci and Gatta, 2011;de Luca, 2012;and Drabas and Wu, 2013), or mixed data (Ortúzar, J. de D. and Simonetti, 2008). 3 In terms of methodology, the study that is closest to ours is the demand side of Berry and Jia (2010) who estimate a structural model with aggregate data.…”

Section: Introductionmentioning

confidence: 99%

Airport, airline and departure time choice and substitution patterns: An empirical analysis

Escobari

2017

Transportation Research Part A: Policy and Practice

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This paper uses the random-coefficients logit methodology that controls for potential endogeneity of prices and allows for general substitution patterns to estimate various demand systems. The estimation takes advantage of an original ticket-level revealed preference data set on travels from the New York City area to Toronto that contains prices and characteristics of not only flight choices but also of all non-booked alternative flights. Consistent with having higher valuations, our results show that travelers buying closer to departure have a higher utility of flying. Moreover, consumers' heterogeneity decreases as the flight date nears. At the carrier level, we identify which carriers have more price-sensitive consumers and which carriers face greater competition. In addition, the results suggest that our multi-airport metropolitan area can be considered as a single market and that JFK and Newark are relatively closer substitutes. Overall, consumers are more willing to switch to alternative carriers than between airports or departure times.

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Modelling the demand for medium distance air travel with the mixed data estimation method

Cited by 40 publications

References 12 publications

Intermodal competition in the London–Paris passenger market: High-Speed Rail and air transport

Intermodal competition in the London–Paris passenger market: High-Speed Rail and air transport

When trains go faster than planes: The strategic reaction of airlines in Spain

Airport, airline and departure time choice and substitution patterns: An empirical analysis

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