@inproceedings{e104a76951ea4303b90a288161c33bc2,
title = "Towards an integrated luti model of long-term and short-term mobility decisions of households using social learning",
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.",
keywords = "Integrated transport-land-use systems, Long-term mobility decisions, Micro-simulation, Social networks",
author = "Dick Ettema and Theo Arentze and Harry Timmermans",
year = "2007",
language = "English",
isbn = "9788585205775",
series = "Proceedings of 10th International Conference on Computers in Urban Planning and Urban Management, CUPUM 2007",
publisher = "Utrecht University",
pages = "1--18",
booktitle = "Proceedings of 10th International Conference on Computers in Urban Planning and Urban Management, CUPUM 2007",
note = "10th International Conference on Computers in Urban Planning and Urban Management, CUPUM 2007 ; Conference date: 11-07-2007 Through 13-07-2007",
}
