Stated choice (SC) experiments are increasingly adopted as the empirical source of information on how individuals respond to current and potential travel contexts. The accumulated experience with SC data has been heavily conditioned on analyst prejudices about the acceptable complexity of the...

Developments in simulation methods, and the computational power that is now available, have enabled open-form discrete choice models such as mixed logit to be estimated with relative ease. The random parameter (RP) form has been used to identify preference heterogeneity, which can be mapped to...

Individuals processing the information in a stated choice experiment are asked to evaluate a set of attributes offered and to choose their most preferred alternative. It has always been thought that some attributes are not attended to in this process for many reasons, including a coping strategy...

There is a growing interest in seeking out rules that individuals invoke when processing information in choice experiments. A rule that is attracting attention in stated choice studies is the extent to which respondents attend to or ignore one or more attributes in processing the information on...

Choice behaviour studies typically assume passive bounded rationality, suggesting that decision makers process all information given to them with equal attention. However, it is probable that decision makers invoke any number of attribute processing strategies (APSs) when weighing the...

This paper investigates the role of preference and scale heterogeneity in the mode choice process of shippers in the Atlantic Canada-US eastern seaboard market. The generalised mixed logit model is estimated to account for heterogeneity in preferences for frequency of departure of freight...

We compare analytically and numerically the optimised performance of different urban public transport modes for three objectives: total cost minimisation, profit maximisation, and welfare maximisation. We find that under optimal operation, buses provide lower waiting time and operator costs,...

An efficient and effective freight transport strategy can be aided by early professional contributions from key stakeholders. One broad group who have historically been given limited opportunity to influence the drafting of a freight strategy, are commercial road users and shippers who...

Research in the field of artificial intelligence systems has been exploring the use of artificial neural networks (ANN) as a framework within which many traffic and transport problems can be studied. One appeal of ANN is their use of pattern association and error correction to represent a...

Individuals when faced with choices amongst a number of alternatives often adopt a variety of processing rules, ranging from simple linear to complex non-linear treatment of each attribute defining the offer of each alternative. In this paper we investigate the presence of asymmetry in...