Transport Economic Theory
By Sergio R. Jara-Díaz. 2007
172 citations recorded by the source corpus.
Subfields: Transportation
View Paper: https://www.semanticscholar.org/paper/2dd018c774c882f1209d6bd88fd6c63ca8b1cc3c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Transportation
- Alejandro Tirachini
- John M. Rose
- David A. Hensher
- David M Levinson
- Carlos Carrion
- Sergio R. Jara-Díaz
- Stefan Peer
- Kay W. Axhausen
Citations in the corpus
- Value of Travel Time Reliability: A Review of Current Evidence (2010, methodology): “These models are reviewed thoroughly in Jara-Diaz (2007); a full chapter is dedicated to them.”
- An Empirical Analysis of Urban Form, Transport, and Global Warming (2008, result): “These results make sense and are in line with a utility maximizing framework where commuters choose between different modes (e.g., Jara-Diaz, 2007).”
- Managing network mobility with tradable credits (2011, background): “…and rigorous way is to take the initial endowment as an input in the production of car trips within the framework of consumer behavior g both time and money budget constraints (Jara-Diaz, 2007). cite this article in press as: Yang, H., Wang, X. Managing network mobility with tradable credits.”
- Multimodal pricing and optimal design of urban public transport: The interplay between traffic congestion and bus crowding (2014, background): “…of high frequency services. marginal utility of income is assumed constant, i.e., we ignore income effects on demand (Jara-Díaz and Videla, 1989; Jara-Díaz, 2007). e that bM c is estimated with the choice of motorised modes only because walking is for free. zone i + 1 by car (tiva1) and bus (t…”
- A pooled RP/SP mode, route and destination choice model to investigate mode and user-type effects in the value of travel time savings (2019, methodology): “…choice models have been used extensively to evaluate policy implications and level-of-service1 changes, providing a powerful transportation planning tool for developing effective travel demand fore-2 casts (e.g. Ben-Akiva and Lerman, 1985; Bhat, 1998; Jara-Diaz, 2007; Ortúzar and Willumsen, 2011).”