Understanding route choice behaviour in congested, dense urban road environments is a key factor for the development of traffic demand models, transport policy formulation and the estimation of willingness-to-pay measures such as the non-work related value of travel time. However collecting reliable driver route choice preference data is not straightforward. To this end this paper describes the development of a smartphone-based application to collect route choice preference data from motorists. The preference data is intended for the development of route choice models using discrete choice methods which will be described in a subsequent paper. The paper provides a technical overview of the development and application of a survey methodology...
The use of smartphone applications (apps) to acquire real time and readily available journey plannin...
Accurate route choice modeling is one of the most important aspects when predicting the effects of t...
This research investigates the travel behavior of users of an integrated mobility platform. Passive ...
Papers presented virtually at the 41st International Southern African Transport Conference on 10-13 ...
Having access to realistic and empirically grounded passenger valuations of public transport trip co...
Discrete choice models have been in use for decades for mode choice and route choice analysis. These...
Knowledge about actual route choices for public transport passengers is important when assessing gen...
Traffic congestion is experienced by a great number of travellers during peak hours and is directly ...
Abstract When introducing new mobility offers or measures to influence traffic, stated preference (S...
This paper presents some results of an analysis of motorists' route choice based on stated preferenc...
<div><p>Public transport (PT) is a key element in most major cities around the world. With the devel...
The annual cost estimate of traffic congestion exceeded 88 billion dollars in 2019 in the United Sta...
Development and assessment of a data collection method for route choice in public transport Marie K....
In this thesis, we develop methods for modeling route choice behavior using smartphone data. The dev...
The aim of this thesis is to analyze the potential of online survey services for conducting stated p...
The use of smartphone applications (apps) to acquire real time and readily available journey plannin...
Accurate route choice modeling is one of the most important aspects when predicting the effects of t...
This research investigates the travel behavior of users of an integrated mobility platform. Passive ...
Papers presented virtually at the 41st International Southern African Transport Conference on 10-13 ...
Having access to realistic and empirically grounded passenger valuations of public transport trip co...
Discrete choice models have been in use for decades for mode choice and route choice analysis. These...
Knowledge about actual route choices for public transport passengers is important when assessing gen...
Traffic congestion is experienced by a great number of travellers during peak hours and is directly ...
Abstract When introducing new mobility offers or measures to influence traffic, stated preference (S...
This paper presents some results of an analysis of motorists' route choice based on stated preferenc...
<div><p>Public transport (PT) is a key element in most major cities around the world. With the devel...
The annual cost estimate of traffic congestion exceeded 88 billion dollars in 2019 in the United Sta...
Development and assessment of a data collection method for route choice in public transport Marie K....
In this thesis, we develop methods for modeling route choice behavior using smartphone data. The dev...
The aim of this thesis is to analyze the potential of online survey services for conducting stated p...
The use of smartphone applications (apps) to acquire real time and readily available journey plannin...
Accurate route choice modeling is one of the most important aspects when predicting the effects of t...
This research investigates the travel behavior of users of an integrated mobility platform. Passive ...