LONGITUDINAL DATA FOR MODELING URBAN MOBILITY ON LONG TERM
Date Issued
2016-05
Author(s)
Nedevska, Ivona
Abstract
The usage of longitudinal data for modelling urban mobility is crucial when
the analysis and forecast model would consider temporal modifications of
behaviour of population in studied urban area. This paper treats the modelling
and forecast of urban mobility on long term based on pseudo-longitudinal data.
The analysis and investigated data are related to the urban area Lille in France.
The examined data are carried out in 1976, 1987 and 1998, according to the
standard methodology for mobility survey of households in France. The
longitudinal data are made from repetitive surveys which makes possible to get
insight in the behaviour dynamics. The decomposition of temporal effects into
an effect of age and an effect of generation (cohort) makes possible to draw the
sample profile during the life cycle and to estimate its temporal deformations.
This is the origin of the age-cohort model for forecasting of urban mobility on
long term.
the analysis and forecast model would consider temporal modifications of
behaviour of population in studied urban area. This paper treats the modelling
and forecast of urban mobility on long term based on pseudo-longitudinal data.
The analysis and investigated data are related to the urban area Lille in France.
The examined data are carried out in 1976, 1987 and 1998, according to the
standard methodology for mobility survey of households in France. The
longitudinal data are made from repetitive surveys which makes possible to get
insight in the behaviour dynamics. The decomposition of temporal effects into
an effect of age and an effect of generation (cohort) makes possible to draw the
sample profile during the life cycle and to estimate its temporal deformations.
This is the origin of the age-cohort model for forecasting of urban mobility on
long term.
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