2002
DOI: 10.4054/mpidr-wp-2002-006
|View full text |Cite
|
Sign up to set email alerts
|

How important are household demographic characteristics to explain private car use patterns? A multilevel approach to Austrian data

Abstract: Working papers of the Max Planck Institute for Demographic Research receive only limited review. Views or opinions expressed in working papers are attributable to the authors and do not necessarily reflect those of the Institute. How important are household demographic characteristics to explain private car use patterns?A multilevel approach to Austrian data

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
9
0
2

Year Published

2009
2009
2023
2023

Publication Types

Select...
6
2
1

Relationship

0
9

Authors

Journals

citations
Cited by 14 publications
(11 citation statements)
references
References 22 publications
0
9
0
2
Order By: Relevance
“…Finally, the decomposition allows to draw conclusions on the explanatory power of the used covariates with respect to the variation on the different levels (see Borgoni et al (2002)). For instance, we can answer the question whether the observed spatial pattern in income levels can rather be explained by differences in regional variables, like geographic traits, by differences in community characteristics like access to certain public goods or rather by differences in household characteristics, like household size and education.…”
Section: Variance Partitioningmentioning
confidence: 99%
“…Finally, the decomposition allows to draw conclusions on the explanatory power of the used covariates with respect to the variation on the different levels (see Borgoni et al (2002)). For instance, we can answer the question whether the observed spatial pattern in income levels can rather be explained by differences in regional variables, like geographic traits, by differences in community characteristics like access to certain public goods or rather by differences in household characteristics, like household size and education.…”
Section: Variance Partitioningmentioning
confidence: 99%
“…Las variables sociodemográficas son el principal motor de las diferencias a escala individual (Borgoni et al, 2002). La edad de la persona es un factor clave que explica la heterogeneidad interna en las poblaciones en el uso del vehículo privado (Kuhminhof et al 2013) y por eso normalmente el análisis empírico del comportamiento de movilidad contempla esta variable.…”
Section: Factores Individuales Sociodemográficosunclassified
“…Un mayor nivel educativo y de ingresos han favorecido tradicionalmente el uso del vehículo privado (Borgoni et al, 2002). En esta misma línea, relacionada con la capacidad económica de los hogares, los inmigrantes presentan un menor uso del coche (Tal, Handy, 2010).…”
Section: Factores Individuales Sociodemográficosunclassified
“…See for example Kuhnimhof, T., J. Armoogum, R. Buehler, J. Dargay, J.M. Denstadli and T. Yamamoto(2012)who show that daily mileage of females is lower than that of males in six industrialised countries.11 Borgoni, Ewert and Fürnkranz-Prskawetz (2002) find a negative relation between age and car use.…”
mentioning
confidence: 99%