Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Transportation
Erschienen in: Transportation 1/2016

01.01.2016

Rail freight transport and demand requirements: an analysis of attribute cut-offs through a stated preference experiment

verfasst von: María Feo-Valero, Leandro García-Menéndez, Salvador del Saz-Salazar

Erschienen in: Transportation | Ausgabe 1/2016

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

This paper analyses the choice between road and rail in Spain where rail market share for freight is still residual. Discrete choice models are estimated with data obtained through a two-phase fieldwork, thus allowing us to carry out a stated preference efficient design for each interviewee. We analyse the existence of attribute cut-offs and the presence of a segment of the population with a zero value of frequency. Our results show that ignoring the existence of cut-offs and segments of the population with polarised valuations can lead to erroneous conclusions in terms of the possibilities of rail for absorbing significant quota.
Vorheriger Artikel The prevalence of context-dependent adjustment of activity-travel patterns in energy conservation strategies: results from a mixture-amount stated adaptation experiment
Nächster Artikel Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren
Fußnoten
1
Simulations carried out (Rose et al. 2009) show that designs generated for MNL perform reasonably well with more advanced models such as mixed logit.
 
2
Models displayed in Table 8 were also estimated as multinomial logit, obtaining in all the cases lower R2 than the ones presented here.
 
3
In order to ensure that this result indeed reflects a non-compensatory behaviour and is not just the consequence of the relatively low proportion of scenario with acceptable delay levels (11 % of total observations display levels of delays in the rail alternative below the cut-off), model 2 was re-estimated with data obtained from the first SP experiment. In this experiment rail levels of delays were lower, resulting in a higher proportion of below cut-offs cases (25 %), and yet we obtain the same result: non-significant coefficient for the attribute and very high significance of the coefficient of the cut-off.
 
4
The sample enumeration method has been used to calculate variations in the rail probability. Model 3 forecasts have been calculated using the estimated mean for the parameter of frequency. In model 4 individuals have been randomly assigned to one of the two segments following the estimated mass probabilities.
 
5
The objective of the Ecobonus and Ferrobonus aid schemes is to reduce the cost of combined transport using short-sea shipping or electrified rail transport for at least part of the journey. It consists of a partial payment to the users covering the part of the external costs avoided compared to pure road transport.
 
Literatur
Arunotayanun, K., Polak, J.W.: Taste heterogeneity and market segmentation in freight shippers’ mode choice behaviour. Transp. Res. Part E 47, 138–148 (2011)CrossRef
Ben-Akiva, M., Boccara, B.: Discrete choice models with latent choice sets. Int. J. Res. Mark. 12(1), 9–24 (1995)CrossRef
Ben-Akiva, M., Morikawa, T.: Estimation of switching models from revealead preferences and stated intentions. Transp. Res. Part A 24(6), 485–495 (1990)CrossRef
Beuthe, M., Bouffioux, Ch.: Analysing qualitative attributes of freight transport from stated orders of preference experiment. J. Transp. Econ. Policy 42, 105–128 (2008)
Bierlaire, M.: BIOGEME. A free package for the estimation of discrete choice models. In: Proceedings of the 3rd Swiss Transportation Research Conference, Ascona, Switzerland (2003)
Brooks, M., Puckett, S., Hensher, D.A., Sammons, A.: Understanding mode choice decisions: a study of australian freight shippers. Marit Econ Logist 14(3), 274–299 (2012)CrossRef
Cantillo, V., Ortúzar, J.: A semi-compensatory discrete choice model with explicit attribute thresholds of perception. Transp. Res. Part B 39, 641–657 (2005)CrossRef
Cascetta, E., Papola, A.: Random utility models with implicit availability/perception of choice alternatives for the simulation of travel demand. Transp. Res. Part C 9, 249–263 (2001)CrossRef
Danielis, R., Marcucci, E.: Attribute cut-offs in freight service selection. Transp. Res. Part E 43, 506–515 (2007)CrossRef
De Jong, G., Kouwenhoven, M., Bates, J., Koster, P., Verhoef, E., Tavasszy, L., Warffemius, P.: New SP-values of time and reliability for freight transport in the Netherlands. Transp. Res. Part E 64, 71–87 (2014)CrossRef
De Jong, G.C.: Value of freight travel time savings revised and extended chapter. In: Hensher, D.A., Button, K.J. (eds.) Handbook of Transport Modelling, Handbooks in Transport, vol. 1, pp. 553–563. Elsevier, Amsterdam (2008)
European Parliament: Directive 2011/76/EU of the European Parliament and of the Council of 27 September 2011 amending Directive 1999/62/EC on the charging of heavy goods vehicles for the use of certain infrastructures Text with EEA relevance (2011)
Feo, M., García, L., Garrido, R.: Valuing freight transport time using transport demand modelling: a bibliographical review. Transp. Rev. 31(5), 625–652 (2011)CrossRef
Ferrini, S., Scarpa, R.: Designs with a priori information for nonmarket valuation with choice experiments: a Monte Carlo study. J. Environ. Econ. Manag. 53(3), 342–363 (2007)
Greene, W.H., Hensher, D.A.: A latent class model for discrete choice analysis; contrasts with mixed logit. Transp. Res. Part B 37, 681–698 (2003)CrossRef
Greene, W.H., Hensher, D.A.: Revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit model. (2010). doi:10.​2139/​ssrn.​1836702
Hensher, D.A., Greene, W.H.: The mixed logit model: the state of practice. Transportation 30, 133–176 (2003)CrossRef
Kurri, J., Sirkïa, A., Mikola, J.: Value of time in freight transport in Finland. Transp. Res. Rec. 1725, 26–30 (2000)CrossRef
Louviere, J.J., Hensher, D.A., Swait, J.: Stated Choice Methods: Analysis and Applications in Marketing, Transportation and Environmental Valuation. Cambridge University Press, Cambridge (2000)CrossRef
Manski, C.: The structure of random utility models. Theor. Decis. 8, 229–254 (1977)CrossRef
Marcucci, E., Scaccia, L.: Mode choice models with attribute cutoffs analysis: the case of freight transport in the Marche region. Eur. Transp. 25(26), 21–32 (2004)
Mariel, P., de Ayala, A., Hoyos, D., Abdullah, S.: Selecting random parameters in discrete choice experiment for environmental valuation: a simulation experiment. J. Choice Model. 7, 44–57 (2013)CrossRef
Martínez, F., Aguila, F., Hurtubia, R.: The constrained multinomial logit: a semi-compensatory choice model. Transp. Res. Part B 43, 365–377 (2009)CrossRef
McFadden, D.: The measurement of urban travel demand. J. Publics Econ. 3, 303–328 (1974)CrossRef
McFadden, D., Train, K.: Mixed MNL models for discrete response. J. Appl. Econ. 34, 1509–1518 (2000)
Rose, J., Bliemer, M., Hensher, D., Collins, A.: Designing efficient stated choice experiments in the presence of reference alternatives. Transp. Res. Part B 42, 395–406 (2008)CrossRef
Rose, J.M., Bliemer, M.C.J.: Constructing efficient stated choice experimental designs. Transp. Rev. 29(5), 587–617 (2009)CrossRef
Rose, J.M., Scarpa, R., Bliemer, M.C.J.: Incorporating model uncertainty into the generation of efficient stated choice experiments: a model averaging approach. In: International Choice Modelling Conference, March 30–April 1, Yorkshire (2009)
Rotaris, L., Danielis, R., Sarman, I., Marcucci, E.: Testing for nonlinearity in the choice of a freight transport service. Eur. Transp. 50, 1–22 (2012)
Swait, J.: A non-compensatory choice model incorporating attribute cutoffs. Transp. Res. Part B 35, 903–928 (2001)CrossRef
Tversky, A.: Elimination-by-aspects: a theory of choice. Psychol. Rev. 79, 281–299 (1972)CrossRef
Metadaten
Titel
Rail freight transport and demand requirements: an analysis of attribute cut-offs through a stated preference experiment
verfasst von
María Feo-Valero
Leandro García-Menéndez
Salvador del Saz-Salazar
Publikationsdatum
01.01.2016
Verlag
Springer US
Erschienen in
Transportation / Ausgabe 1/2016
Print ISSN: 0049-4488
Elektronische ISSN: 1572-9435
DOI
https://doi.org/10.1007/s11116-014-9566-x

Weitere Artikel der Ausgabe 1/2016

Transportation 1/2016 Zur Ausgabe

OriginalPaper

Built environment impacts on walking for transport in Brisbane, Australia

OriginalPaper

The prevalence of context-dependent adjustment of activity-travel patterns in energy conservation strategies: results from a mixture-amount stated adaptation experiment

OriginalPaper

Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model

OriginalPaper

Modelling bicycle use intention: the role of perceptions

OriginalPaper

An analysis of activity time use on vehicle usage rationed days

OriginalPaper

Costs of school transportation: quantifying the fiscal impacts of encouraging walking and bicycling for school travel

    Premium Partner

    Bildnachweise