This study seeks to determine the relative sensitivity of mode and time of day choice to changes in travel times and costs and to investigate whether evidence exists of varying magnitudes of unobservable influences in time of day switching. The study draws on data from three related stated preference studies undertaken over the past decade in the United Kingdom and the Netherlands and uses error components logit models to investigate the patterns of substitution between mode and time of day alternatives. Findings show that the magnitude of unobserved influences on time switching depends significantly on the magnitudes of the time switches considered. With time periods of the magnitude generally represented in practical modeling, i.e. peak p...
Time-of-day (TOD) choice can be considered as a fifth stage in the modelling of transport behaviour,...
This study develops joint choice models of mode and departure time for implementation in MetroScan, ...
The study presented in this paper uses Stated Preferences (SP) data on mode choice collected as part...
The Dutch National Model System has been used for over ten years to predict the response of traveler...
As a result of increasing road congestion and road pricing, modelling the temporal response of trave...
Modeling travel demand by time of day is gaining increasing attention in travel demand forecasting p...
Time-of-day (TOD) choice can be considered as a fifth stage in the modelling of transport behaviour,...
Modeling travel demand by time of day is gaining increasing attention in travel demand forecasting p...
The severity of road congestion not only depends on the relation between traffic volumes and network...
The severity of road congestion not only depends on the relation between traffic volumes and network...
A substantial amount of research is presently being carried out to understand the complexities invol...
This paper proposes an alternative, dynamic framework for estimating time-varying values of travel t...
In travel demand forecasting models, parameters are often assumed to be stable over time. The stabil...
This paper develops a model of activity and trip scheduling that combines three elements that have t...
This paper develops a model of activity and trip scheduling that combines three elements that have t...
Time-of-day (TOD) choice can be considered as a fifth stage in the modelling of transport behaviour,...
This study develops joint choice models of mode and departure time for implementation in MetroScan, ...
The study presented in this paper uses Stated Preferences (SP) data on mode choice collected as part...
The Dutch National Model System has been used for over ten years to predict the response of traveler...
As a result of increasing road congestion and road pricing, modelling the temporal response of trave...
Modeling travel demand by time of day is gaining increasing attention in travel demand forecasting p...
Time-of-day (TOD) choice can be considered as a fifth stage in the modelling of transport behaviour,...
Modeling travel demand by time of day is gaining increasing attention in travel demand forecasting p...
The severity of road congestion not only depends on the relation between traffic volumes and network...
The severity of road congestion not only depends on the relation between traffic volumes and network...
A substantial amount of research is presently being carried out to understand the complexities invol...
This paper proposes an alternative, dynamic framework for estimating time-varying values of travel t...
In travel demand forecasting models, parameters are often assumed to be stable over time. The stabil...
This paper develops a model of activity and trip scheduling that combines three elements that have t...
This paper develops a model of activity and trip scheduling that combines three elements that have t...
Time-of-day (TOD) choice can be considered as a fifth stage in the modelling of transport behaviour,...
This study develops joint choice models of mode and departure time for implementation in MetroScan, ...
The study presented in this paper uses Stated Preferences (SP) data on mode choice collected as part...