Transport demand on both short and long term is often modelled in transport models, which are based on data for a single year. In this way it is not possi-ble to identify changes in behaviour over time, except maybe for changes re-lated to changes in population as dealt with in the Dutch national model. In Denmark the National Travel Survey has been conducted in 1975, 1981 and from 1992 and on. The data set forms a unique basis for creating a pseudo panel data set reflecting both time series changes and cross sectional effects. This paper shows the first results of analysing these data and estimating panel data models. The analyses focus on number of trips and kilometres per day both overall and by purpose. The results show that the number ...
While the mobility in the context of everyday life has recently almost stagnated in central Europe, ...
Demand elasticities are of vital importance to everyone who is involved in public transport planning...
This paper uses data from the Danish national travel survey and traffic counts to validate the passe...
\u3cp\u3eAs people require time to adjust their travel behaviour to changes in residential location ...
As people require time to adjust their travel behaviour to changes in residential location and trans...
This paper studies intertemporal changes in the value of travel time (VTT) and investigates whether ...
Levels of demand over time are analyzed for five modes of passenger transportation. The data are for...
It is argued that improvements in the supply of transport infrastructure networks affect accessibili...
Information about the variability of public transport usage over time is an important input to many ...
Modelling travel behaviour has always been a major area of concern in transportation research. Since...
Item does not contain fulltextA simultaneous equation model is developed to describe temporal trends...
This research introduces a trip generation model reflecting time-series effects derived from a panel...
Long-distance travel, respectively interurban travel, makes up a considerable share in transport per...
In Europe, approximately 50% of all passenger kilometres come from trips beyond 100 km according to ...
This paper provides a detailed description of the passenger travel demand model for Copenhagen, whic...
While the mobility in the context of everyday life has recently almost stagnated in central Europe, ...
Demand elasticities are of vital importance to everyone who is involved in public transport planning...
This paper uses data from the Danish national travel survey and traffic counts to validate the passe...
\u3cp\u3eAs people require time to adjust their travel behaviour to changes in residential location ...
As people require time to adjust their travel behaviour to changes in residential location and trans...
This paper studies intertemporal changes in the value of travel time (VTT) and investigates whether ...
Levels of demand over time are analyzed for five modes of passenger transportation. The data are for...
It is argued that improvements in the supply of transport infrastructure networks affect accessibili...
Information about the variability of public transport usage over time is an important input to many ...
Modelling travel behaviour has always been a major area of concern in transportation research. Since...
Item does not contain fulltextA simultaneous equation model is developed to describe temporal trends...
This research introduces a trip generation model reflecting time-series effects derived from a panel...
Long-distance travel, respectively interurban travel, makes up a considerable share in transport per...
In Europe, approximately 50% of all passenger kilometres come from trips beyond 100 km according to ...
This paper provides a detailed description of the passenger travel demand model for Copenhagen, whic...
While the mobility in the context of everyday life has recently almost stagnated in central Europe, ...
Demand elasticities are of vital importance to everyone who is involved in public transport planning...
This paper uses data from the Danish national travel survey and traffic counts to validate the passe...