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

D.F. Ettema; T.A. Arentze; H.J.P. Timmermans

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

D.F. Ettema
, T.A. Arentze
, H.J.P. Timmermans

Urban Planning and Transportation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

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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 language	English
Title of host publication	Proceedings of the 10th International Conference on Computers in Urban Planning and Urban Management (CUPUM 2007) 11-13 July 2007, Iguassu Falls, Brasil
Editors	da Silva, A.N.R., de Souza, L.C.L.
Place of Publication	São Carlos
Publisher	EESC/USP
Pages	paper 47-1/18
ISBN (Print)	978-85-85205-77-5
Publication status	Published - 2007
Event	conference; Computers in Urban Planning and Urban Management : CUPUM2007, 10th International Conference, Iguassu Falls – PR, 11-13 July, 2007, Brazil - Duration: 1 Jan 2007 → 12 Jul 2007

Conference

Conference	conference; Computers in Urban Planning and Urban Management : CUPUM2007, 10th International Conference, Iguassu Falls – PR, 11-13 July, 2007, Brazil
Period	1/01/07 → 12/07/07
Other	Computers in Urban Planning and Urban Management : CUPUM2007, 10th International Conference, Iguassu Falls – PR, 11-13 July, 2007, Brazil

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 15 Life on Land

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Ettema, D. F., Arentze, T. A., & Timmermans, H. J. P. (2007). Towards an integrated luti model of long term and short-term mobilitye decisions of households using social learning. In D. Silva, A.N.R., & D. Souza, L.C.L. (Eds.), Proceedings of the 10th International Conference on Computers in Urban Planning and Urban Management (CUPUM 2007) 11-13 July 2007, Iguassu Falls, Brasil (pp. paper 47-1/18). EESC/USP.

Ettema, D.F. ; Arentze, T.A. ; Timmermans, H.J.P. / Towards an integrated luti model of long term and short-term mobilitye decisions of households using social learning. Proceedings of the 10th International Conference on Computers in Urban Planning and Urban Management (CUPUM 2007) 11-13 July 2007, Iguassu Falls, Brasil. editor / da Silva, A.N.R. ; de Souza, L.C.L. São Carlos : EESC/USP, 2007. pp. paper 47-1/18

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title = "Towards an integrated luti model of long term and short-term mobilitye 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{\textquoteright} 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{\textquoteright} decision making in a large state space under limited information. The model is illustrated in a small scale numerical example.",

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publisher = "EESC/USP",

note = "conference; Computers in Urban Planning and Urban Management : CUPUM2007, 10th International Conference, Iguassu Falls – PR, 11-13 July, 2007, Brazil ; Conference date: 01-01-2007 Through 12-07-2007",

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Ettema, DF, Arentze, TA & Timmermans, HJP 2007, Towards an integrated luti model of long term and short-term mobilitye decisions of households using social learning. in D Silva, A.N.R. & D Souza, L.C.L. (eds), Proceedings of the 10th International Conference on Computers in Urban Planning and Urban Management (CUPUM 2007) 11-13 July 2007, Iguassu Falls, Brasil. EESC/USP, São Carlos, pp. paper 47-1/18, conference; Computers in Urban Planning and Urban Management : CUPUM2007, 10th International Conference, Iguassu Falls – PR, 11-13 July, 2007, Brazil, 1/01/07.

Towards an integrated luti model of long term and short-term mobilitye decisions of households using social learning. / Ettema, D.F.; Arentze, T.A.; Timmermans, H.J.P.
Proceedings of the 10th International Conference on Computers in Urban Planning and Urban Management (CUPUM 2007) 11-13 July 2007, Iguassu Falls, Brasil. ed. / da Silva, A.N.R.; de Souza, L.C.L. São Carlos: EESC/USP, 2007. p. paper 47-1/18.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

TY - GEN

T1 - Towards an integrated luti model of long term and short-term mobilitye decisions of households using social learning

AU - Ettema, D.F.

AU - Arentze, T.A.

AU - Timmermans, H.J.P.

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

M3 - Conference contribution

SN - 978-85-85205-77-5

SP - paper 47-1/18

BT - Proceedings of the 10th International Conference on Computers in Urban Planning and Urban Management (CUPUM 2007) 11-13 July 2007, Iguassu Falls, Brasil

A2 - Silva, A.N.R., da

A2 - Souza, L.C.L., de

PB - EESC/USP

CY - São Carlos

T2 - conference; Computers in Urban Planning and Urban Management : CUPUM2007, 10th International Conference, Iguassu Falls – PR, 11-13 July, 2007, Brazil

Y2 - 1 January 2007 through 12 July 2007

ER -

Ettema DF, Arentze TA, Timmermans HJP. Towards an integrated luti model of long term and short-term mobilitye decisions of households using social learning. In Silva, A.N.R. D, Souza, L.C.L. D, editors, Proceedings of the 10th International Conference on Computers in Urban Planning and Urban Management (CUPUM 2007) 11-13 July 2007, Iguassu Falls, Brasil. São Carlos: EESC/USP. 2007. p. paper 47-1/18

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

Abstract

Conference

UN SDGs

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