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Purpose – To investigate the potential future role of information delivery in terms of reducing transport-related emissions. The assumed response of travellers to information and the notions of content and context are provided, together with factors that can determine an individual's propensity to seek and engage with travel information.

Methodology/approach – A review of information use, the behavioural stages of change and context design is undertaken, incorporating a research case study in the use of framing.

Findings – Recent theoretical and empirical insights into behavioural change provide new insights into the role of information in reducing transport-related emissions. Traveller information offers many benefits to the user and could be influential in affecting travel behaviour change, although there are socio-psychological factors outside the control of information service designers that also need to be considered, such as the ‘stage of change’ people are at in relation to a change in behaviour.

Originality/value – The chapter examines how travel information could go beyond the provision of trip choice data and incorporate contextual elements to make it more effective. Concepts related to the Transtheoretical Model (stages of change) and the latest thinking in behavioural economics are discussed in relation to an increase in the likelihood of environmental travel alternatives being considered and chosen.

We take Cumulative Prospect Theory (CPT) seriously by rigorously estimating structural models using the full set of CPT parameters. Much of the literature only estimates a subset of CPT parameters, or more simply assumes CPT parameter values from prior studies. Our data are from laboratory experiments with undergraduate students and MBA students facing substantial real incentives and losses. We also estimate structural models from Expected Utility Theory (EUT), Dual Theory (DT), Rank-Dependent Utility (RDU), and Disappointment Aversion (DA) for comparison. Our major finding is that a majority of individuals in our sample locally asset integrate. That is, they see a loss frame for what it is, a frame, and behave as if they evaluate the net payment rather than the gross loss when one is presented to them. This finding is devastating to the direct application of CPT to these data for those subjects. Support for CPT is greater when losses are covered out of an earned endowment rather than house money, but RDU is still the best single characterization of individual and pooled choices. Defenders of the CPT model claim, correctly, that the CPT model exists “because the data says it should.” In other words, the CPT model was borne from a wide range of stylized facts culled from parts of the cognitive psychology literature. If one is to take the CPT model seriously and rigorously then it needs to do a much better job of explaining the data than we see here.

I examined the association between economic, savings, and psychological factors on participation in traditional Individual Retirement Accounts (IRAs) (1983–1985). The data were panels of tax returns representing households qualifying for the maximum IRA contribution and whose only sources of income were employment and investments. Along with traditional economic variables, my regressions included psychological factors such as framing effects based on adaptive expectations. Although both economic and psychological constructs were important in explaining savings behavior, the latter were shown as more salient. Households having less favorable than expected withholding positions increased IRA participation, a finding corroborating prior research. Savings propensity (SAVE) and past participation were the most important factors linked to IRAs. Unexpected investment income was significantly related to IRA participation, providing evidence that deductible IRA contributions represent new savings rather than reshuffled old savings. The policy implications of this study suggest that savings plans redesigned to encourage greater retirement savings should include tax benefits that are in temporal proximity to the desired savings behavior.

We review the experimental evidence on risk aversion in controlled laboratory settings. We review the strengths and weaknesses of alternative elicitation procedures, the strengths and weaknesses of alternative estimation procedures, and finally the effect of controlling for risk attitudes on inferences in experiments.

Purpose – This chapter focuses on individual differences in anxiety, by reviewing its neurobiology, cognitive effects, with an emphasis on decision-making, and recent developments in neuroeconomics.

Methodology – A review and discussion of anxiety and decision-making research.

Practical implications – This chapter argues that by making the step from emotional states to individual differences in emotion, neuroeconomics can extend its neurobiological roots and outreach its current clinical relevance.

Value of chapter – This chapter contributes to the literature on individual differences in emotion and their effects on decision-making, which is increasingly important in mainstream behavioral economics and neuroeconomics.

This study examines contextual influences on taxpayers’ perceptions of a vague “low” probability of detection and the relationship between taxpayers’ perceptions and their likelihood to take questionable tax deductions. As such, we tie psychological theories that explain differential interpretations of qualitative probability phrases (base rate and support theories) to the taxpayer perception literature. Consistent with our hypotheses, taxpayers’ interpretations of “low” differ both between and within subjects, depending on the context in which deductions are presented. On average, our taxpayer subjects are less likely to take questionable deductions perceived to have a higher probability of detection than those perceived to have a lower detection probability. Our results contribute to existing literature by demonstrating that knowledge of subjects’ assessments of an event's probability is integral to designing experiments and drawing conclusions regarding observed behavior. This appears necessary even when researchers provide assessments of detection probabilities and/or employ scenarios for which systematic differences in probability perceptions are not inherently obvious.

This chapter explores Prospect Theory — a descriptive model of modelling individual choice making under risk and uncertainty, and its applications to a range of travel behaviour contexts.

The chapter provides background on Prospect Theory, its basic assumptions and formulations, and summarises some of its theoretical developments, applications and evidence in the field of transport research.

A body of empirical evidence has accumulated showing that the principle of maximisation of expected utility provides limited explanation of travel choices under risk and uncertainty. Prospect Theory can be seen as an alternative and promising framework for travel choice modelling (although not without theoretical and practical controversy). These findings are supported by empirical observations reported in the literature reviewed in this chapter.

The chapter provides a detailed account of the design and results of accumulated research in travel behaviour research that is based on Prospect Theory’s observations, insights and formulations. The potential of Prospect Theory for particular decision-making in travel behaviour research is articulated, main findings are presented and discussed, and limitations are identified, leading to further research needs.