EconPapers    
Economics at your fingertips  
 

Repeated Commuting

Marcus Berliant ()

MPRA Paper from University Library of Munich, Germany

Abstract: We examine commuting in a game-theoretic setting with a continuum of commuters. Commuters' home and work locations can be heterogeneous. The exogenous transport network is arbitrary. Traffic speed is determined by link capacity and by local congestion at a time and place along a link, where local congestion at a time and place is endogenous. After formulating a static model, where consumers choose only routes to work, and a dynamic model, where they also choose departure times, we describe and examine existence of Nash equilibrium in both models and show that they differ, so the static model is not a steady state representation of the dynamic model. Then it is shown via the folk theorem that for sufficiently large discount factors the repeated dynamic model has as equilibrium any strategy that is achievable in the one shot game with choice of departure times, including the efficient ones. A similar result holds for the static model. Our results pose a challenge to congestion pricing. Finally, we examine evidence from St. Louis to determine what equilibrium strategies are actually played in the repeated commuting game.

Keywords: commuting; folk theorem (search for similar items in EconPapers)
JEL-codes: R41 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-geo and nep-ure
Date: 2011-02-18
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/28979/1/MPRA_paper_28979.pdf original version (application/pdf)

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:pra:mprapa:28979

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Series data maintained by Joachim Winter ().

 
Page updated 2017-12-06
Handle: RePEc:pra:mprapa:28979