Road traffic congestion and public information - An experimental investigation


Autoria(s): Ziegelmeyer, Anthony; Koessler, Frederic; My, Kene Boun; Denant-Boemont, Laurent
Data(s)

01/01/2008

Resumo

<p>This paper reports laboratory experiments designed to study the impact of public information about past departure rates on congestion levels and travel costs. Our design is based on a discrete version of Arnott et al.'s (1990) bottleneck model. In all treatments, congestion occurs and the observed travel costs are quite similar to the predicted ones. Subjects' capacity to coordinate is not affected by the availability of public information on past departure rates, by the number of drivers or by the relative cost of delay. This seemingly absence of treatment effects is confirmed by our finding that a parameter-free reinforcement learning model best characterises individual behaviour.</p>

Identificador

http://pure.qub.ac.uk/portal/en/publications/road-traffic-congestion-and-public-information--an-experimental-investigation(9bc72be2-6f8e-4ca8-be2a-1177bb31dfd8).html

Idioma(s)

eng

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

Ziegelmeyer , A , Koessler , F , My , K B & Denant-Boemont , L 2008 , ' Road traffic congestion and public information - An experimental investigation ' Journal of Transport Economics and Policy , vol 42 , no. 1 , pp. 43-82 .

Palavras-Chave #/dk/atira/pure/subjectarea/asjc/2000/2002 #Economics and Econometrics #/dk/atira/pure/subjectarea/asjc/3300/3313 #Transportation
Tipo

article