Towards an integrated luti model of long term and short-term mobilitye decisions of households using social learning

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Abstract

This paper presents a model of long-term household mobility decisions that was developed in the context of the PUMA model (an agent-based integrated model of land use and transportation). It extends that state-of-the-art in that it integrates households’ relocation decision in the allocation of monetary and temporal resources on the household level. It interacts with a micro-simulation model of daily activity patterns in order to improve the representation of accessibility effects in LUTI modelling. The model uses a social learning algorithm to represent households’ decision making in a large state space under limited information. The model is illustrated in a small scale numerical example.
Original languageEnglish
Title of host publicationProceedings of the 10th International Conference on Computers in Urban Planning and Urban Management (CUPUM 2007) 11-13 July 2007, Iguassu Falls, Brasil
Editorsda Silva, A.N.R., de Souza, L.C.L.
Place of PublicationSão Carlos
PublisherEESC/USP
Pagespaper 47-1/18
ISBN (Print)978-85-85205-77-5
Publication statusPublished - 2007
Eventconference; CUPUM 2007, Iguassu Falls, Brasil; 2007-07-11; 2007-07-12 -
Duration: 11 Jul 200712 Jul 2007

Conference

Conferenceconference; CUPUM 2007, Iguassu Falls, Brasil; 2007-07-11; 2007-07-12
Period11/07/0712/07/07
OtherCUPUM 2007, Iguassu Falls, Brasil

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