The severity of road congestion not only depends on the relation between traffic volumes and network capacity, but also on the distribution of car traffic among different time periods during the day. A new error components logit model for the joint choice of time of day and mode is presented, estimated on stated preference data for car and train travellers in The Netherlands. The results indicate that time of day choice in The Netherlands is sensitive to changes in peak travel time and cost and that policies that increase these peak attributes will lead to peak spreading.Time of day Peak spreading Error components model Mixed multinomial logit model
Travel demand management policies such as congestion charges encourage car-users to change among oth...
This thesis jointly models the 24 hour work trip timing and mode choice decisions of commuters in th...
This thesis jointly models the 24 hour work trip timing and mode choice decisions of commuters in th...
The Dutch National Model System has been used for over ten years to predict the response of traveler...
The severity of road congestion not only depends on the relation between traffic volumes and network...
Time-of-day (TOD) choice can be considered as a fifth stage in the modelling of transport behaviour,...
This study seeks to determine the relative sensitivity of mode and time of day choice to changes in ...
ABSTRACTA driver's daily commute involves making three types of decisions: choice of departure time,...
This paper presents one of the first discrete choice models regarding truck departure time for road ...
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...
Modeling travel demand by time of day is gaining increasing attention in travel demand forecasting p...
This paper develops a model of activity and trip scheduling that combines three elements that have t...
Understanding the variations in travel by time of day is essential to predicting transportation syst...
This paper develops a model of activity and trip scheduling that combines three elements that have t...
Travel demand management policies such as congestion charges encourage car-users to change among oth...
This thesis jointly models the 24 hour work trip timing and mode choice decisions of commuters in th...
This thesis jointly models the 24 hour work trip timing and mode choice decisions of commuters in th...
The Dutch National Model System has been used for over ten years to predict the response of traveler...
The severity of road congestion not only depends on the relation between traffic volumes and network...
Time-of-day (TOD) choice can be considered as a fifth stage in the modelling of transport behaviour,...
This study seeks to determine the relative sensitivity of mode and time of day choice to changes in ...
ABSTRACTA driver's daily commute involves making three types of decisions: choice of departure time,...
This paper presents one of the first discrete choice models regarding truck departure time for road ...
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...
Modeling travel demand by time of day is gaining increasing attention in travel demand forecasting p...
This paper develops a model of activity and trip scheduling that combines three elements that have t...
Understanding the variations in travel by time of day is essential to predicting transportation syst...
This paper develops a model of activity and trip scheduling that combines three elements that have t...
Travel demand management policies such as congestion charges encourage car-users to change among oth...
This thesis jointly models the 24 hour work trip timing and mode choice decisions of commuters in th...
This thesis jointly models the 24 hour work trip timing and mode choice decisions of commuters in th...