Representing mental maps and cognitive learning in micro-simulation models of activity-travel choice dynamics

T.A. Arentze; H.J.P. Timmermans

doi:10.1007/s11116-004-7964-1

Representing mental maps and cognitive learning in micro-simulation models of activity-travel choice dynamics

T.A. Arentze
, H.J.P. Timmermans

Urban Planning and Transportation

Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review

53 Citaten (Scopus)

Samenvatting

This paper develops a model, based on Bayesian beliefs networks, for representing mental maps and cognitive learning into micro-simulation models of activity-travel behavior. Mental maps can be used to address the problem that choice sets in models of travel demand are often ad hoc specified. The theory underlying the model is discussed, a specification is derived and numerical simulation is used to illustrate the properties of the model.

Originele taal-2	Engels
Pagina's (van-tot)	321-340
Tijdschrift	Transportation
Volume	32
Nummer van het tijdschrift	4
DOI's	https://doi.org/10.1007/s11116-004-7964-1
Status	Gepubliceerd - 2005

Toegang tot document

10.1007/s11116-004-7964-1

Citeer dit

@article{abbe482d841f443e9a68570cde0358e0,

title = "Representing mental maps and cognitive learning in micro-simulation models of activity-travel choice dynamics",

abstract = "This paper develops a model, based on Bayesian beliefs networks, for representing mental maps and cognitive learning into micro-simulation models of activity-travel behavior. Mental maps can be used to address the problem that choice sets in models of travel demand are often ad hoc specified. The theory underlying the model is discussed, a specification is derived and numerical simulation is used to illustrate the properties of the model.",

author = "T.A. Arentze and H.J.P. Timmermans",

year = "2005",

doi = "10.1007/s11116-004-7964-1",

language = "English",

volume = "32",

pages = "321--340",

journal = "Transportation",

issn = "0049-4488",

publisher = "Springer",

number = "4",

}

TY - JOUR

T1 - Representing mental maps and cognitive learning in micro-simulation models of activity-travel choice dynamics

AU - Arentze, T.A.

AU - Timmermans, H.J.P.

PY - 2005

Y1 - 2005

N2 - This paper develops a model, based on Bayesian beliefs networks, for representing mental maps and cognitive learning into micro-simulation models of activity-travel behavior. Mental maps can be used to address the problem that choice sets in models of travel demand are often ad hoc specified. The theory underlying the model is discussed, a specification is derived and numerical simulation is used to illustrate the properties of the model.

AB - This paper develops a model, based on Bayesian beliefs networks, for representing mental maps and cognitive learning into micro-simulation models of activity-travel behavior. Mental maps can be used to address the problem that choice sets in models of travel demand are often ad hoc specified. The theory underlying the model is discussed, a specification is derived and numerical simulation is used to illustrate the properties of the model.

U2 - 10.1007/s11116-004-7964-1

DO - 10.1007/s11116-004-7964-1

M3 - Article

SN - 0049-4488

VL - 32

SP - 321

EP - 340

JO - Transportation

JF - Transportation

IS - 4

ER -

Representing mental maps and cognitive learning in micro-simulation models of activity-travel choice dynamics

Samenvatting

Toegang tot document

Vingerafdruk

Citeer dit