Freight transportation demand elasticities: a geographic multimodal transportation network analysis
By M. Beuthe, B. Jourquin, J. Geerts, C. N. Ha. 2001
210 citations recorded by the source corpus.
Subfields: Building and Construction, Industrial and Manufacturing Engineering, Transportation
View Paper: https://www.semanticscholar.org/paper/c3cf288cdbe7569f3c23158c06624896360cc240
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Building and Construction
- Lori Tavasszy
- Moshe E. Ben-Akiva
- G. D. de Jong
- L. García-Menéndez
- M. Feo-Valero
- C. Román
- Daniel J. Graham
- Ana Isabel Arencibia
In Industrial and Manufacturing Engineering
In Transportation
- Lori Tavasszy
- Moshe E. Ben-Akiva
- Daniel J. Graham
- Stephen Murray Glaister
- G. D. de Jong
- K. Ruijgrok
- I. Davydenko
- Elisabetta Cherchi
Citations in the corpus
- Road Traffic Demand Elasticity Estimates: A Review (2004, background): “Beuthe et al. (2001) addressed the theme of variation in estimates across commodity groups and also explored the implications of trip type.”
- Recent developments in national and international freight transport models within Europe (2012, methodology): “The model covers Europe at the NUTS2 level, and can also be used as a European multimodal assignment model for freight transport (Jourquin and Beuthe 1996; Beuthe et al. 2001; Pekin et al. 2007).”
- National and International Freight Transport Models: An Overview and Ideas for Future Development (2004, methodology): “Consequently the elasticities from such models are conditional elasticities (conditional on the quantity demanded; Beuthe et al., 2001). The aggregate modal split model can be based on the theory of individual utility maximization, but only under very restrictive assumptions. A disadvantage of using”
- Modelling mode choice for freight transport using advanced choice experiments (2015, methodology): “Under the assumption of linear utility, maximum likelihood estimates for the unknown set of parameters were obtained with the software Biogeme release 2.0 (Bierlaire, 2003 and 2008).”