Hypothetical Models.

Irina Burlacu; Cathal O'Donoghue; Denisa Sologon

doi:10.1108/S0573-855520140000293000

Hypothetical Models.

Irina Burlacu
, Cathal O'Donoghue
, Denisa Sologon

Living Conditions

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Chapter › Revue par des pairs

Résumé

Microsimulation models can be used with various types of datasets, including the synthetic data constructed based on a number of simple assumptions. Models based on hypothetical data offer useful insights despite their simplicity. In fact, their usefulness stems largely from the simplicity of the approach as it avoids the population complexity. In this chapter we review the development of microsimulation models using hypothetical data.

langue originale	Anglais
titre	Handbook of Microsimulation Modelling
Editeur	Emerald Publishing Limited
Pages	23-46
Nombre de pages	0
Volume	293
ISBN (imprimé)	978-1-78350-569-2
Les DOIs	https://doi.org/10.1108/S0573-855520140000293000
état	Publié - 2014

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10.1108/S0573-855520140000293000

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Contient cette citation

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title = "Hypothetical Models.",

abstract = "Microsimulation models can be used with various types of datasets, including the synthetic data constructed based on a number of simple assumptions. Models based on hypothetical data offer useful insights despite their simplicity. In fact, their usefulness stems largely from the simplicity of the approach as it avoids the population complexity. In this chapter we review the development of microsimulation models using hypothetical data.",

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AU - Sologon, Denisa

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AB - Microsimulation models can be used with various types of datasets, including the synthetic data constructed based on a number of simple assumptions. Models based on hypothetical data offer useful insights despite their simplicity. In fact, their usefulness stems largely from the simplicity of the approach as it avoids the population complexity. In this chapter we review the development of microsimulation models using hypothetical data.

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DO - 10.1108/S0573-855520140000293000

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Hypothetical Models.

Résumé

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Publications

A hybrid learning algorithm for generating multi-agent daily activity plans

Mode choice with latent preference heterogeneity: a case study for employees of the EU Institutions in Luxembourg.

Social trajectory and socio-spatial representation of urban space: The relation between social and cognitive structures.

An A* label-setting algorithm for multimodal resource constrained shortest path problem.

Geographic, Social-cultural and Modal Usage Determinants of Activity Space: A Case Study of EU Institutions in Luxembourg and Strasbourg

Contient cette citation