Motorist Information in Networks with Multiple OD-Pairs

Richard H. M. Emmerink
Additional contact information
Richard H. M. Emmerink: Free University

Chapter 9 in Information and Pricing in Road Transportation, 1998, pp 154-172 from Springer

Abstract: Abstract The models presented in the previous chapters have yielded much insight into the key factors that influence the usefulness of information provision. However, an often mentioned drawback of these type of theoretical models is their lack of realism. This lack of realism has been taken for granted by the desire to answer policy questions related to information provision by using transparent analytical models rather than simulation models of more realistic networks that generate “black-box” type of answers. Nevertheless, one of the more serious restrictions in the theoretical models is the assumption of a single origin-destination (OD) pair and very simple network structures (either one or two-link networks); more complicated network structures are mathematically difficult to handle. The simplicity of these network structures might, however, seriously cloud the impacts of information provision in realistic networks.

Keywords: Travel Cost; Information Provision; Equilibrium Level; Road Usage; Motorist Information (search for similar items in EconPapers)
Date: 1998
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:adspcp:978-3-642-72143-4_9

Ordering information: This item can be ordered from
http://www.springer.com/9783642721434

DOI: 10.1007/978-3-642-72143-4_9

Access Statistics for this chapter

More chapters in Advances in Spatial Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().