Choice modelling is an increasingly important technique for forecasting and valuation, with applications in fields such as transportation, health and environmental economics. for this reason it has attracted attention from leading academics and practitioners and methods have advanced substantially in recent years. This Handbook, composed of contributions from senior figures in the field, summarises the essential analytical techniques and discusses the key current research issues. It will be of interest to academics, students and practitioners in a wide range of areas
We examine the impact of individual-specific information processing strategies (IPSs) on the inclusi...
Developments in data and modeling paradigms in choice analysis are occurring at a fast pace. A revie...
Individuals processing the information in a stated choice experiment are asked to evaluate a set of ...
It has long been recognized that humans draw from a large pool of processing aids to help manage the...
Discrete choice modelling has become the preferred empirical context to study individuals’ preferenc...
Alternative-based approaches to decision making generate overall values for each option in a choice ...
Empirical findings from behavioural decision research suggest that individuals employ a range of str...
Empirical findings from behavioural decision research suggest that individuals employ a range of str...
Empirical findings from behavioural decision research suggest that individuals employ a range of str...
Individuals processing the information in a stated choice experiment are asked to evaluate a set of ...
Choice analysts increasingly use a mix of revealed preference and stated choice data paradigms to id...
In this paper, we examine the impact of individual specific information processing strategies (IPS) ...
With the growing reliance on Stated Choice (SC) data, researchers are increasingly interested in und...
With the growing reliance on Stated Choice (SC) data, researchers are increasingly interested in und...
In recent years we have seen an explosion of research seeking to understand the role that rules and ...
We examine the impact of individual-specific information processing strategies (IPSs) on the inclusi...
Developments in data and modeling paradigms in choice analysis are occurring at a fast pace. A revie...
Individuals processing the information in a stated choice experiment are asked to evaluate a set of ...
It has long been recognized that humans draw from a large pool of processing aids to help manage the...
Discrete choice modelling has become the preferred empirical context to study individuals’ preferenc...
Alternative-based approaches to decision making generate overall values for each option in a choice ...
Empirical findings from behavioural decision research suggest that individuals employ a range of str...
Empirical findings from behavioural decision research suggest that individuals employ a range of str...
Empirical findings from behavioural decision research suggest that individuals employ a range of str...
Individuals processing the information in a stated choice experiment are asked to evaluate a set of ...
Choice analysts increasingly use a mix of revealed preference and stated choice data paradigms to id...
In this paper, we examine the impact of individual specific information processing strategies (IPS) ...
With the growing reliance on Stated Choice (SC) data, researchers are increasingly interested in und...
With the growing reliance on Stated Choice (SC) data, researchers are increasingly interested in und...
In recent years we have seen an explosion of research seeking to understand the role that rules and ...
We examine the impact of individual-specific information processing strategies (IPSs) on the inclusi...
Developments in data and modeling paradigms in choice analysis are occurring at a fast pace. A revie...
Individuals processing the information in a stated choice experiment are asked to evaluate a set of ...