From Attitude to Satisfaction: Introducing the Travel Mode Choice Cycle

Many studies analysing the relationship between attitudes and travel behaviour have found that travel attitudes have an important impact on travel mode choice. More recently, studies focusing on how people experience travel have shown that travel satisfaction is influenced by the chosen travel mode. The desire and intention of using a travel mode – which can be considered as important predictors of mode choice – have, however, received limited attention. Furthermore, existing studies mostly have a narrow scope and lack integration of the above constructs. In this paper, we introduce the travel mode choice cycle (TMCC), a comprehensive model aiming to link attitude, desire, intention, behaviour, and satisfaction by integrating prominent social-psychological attitude theories such as the theory of planned behaviour, the model of goal-directed behaviour, and the theory of cognitive dissonance. We argue that the constructs of the TMCC are strongly interrelated such that they can affect each other in direct and indirect ways. The proposed cycle provides valuable insights for policymakers to stimulate the use of desired travel modes, such as public transport and active travel. We end this paper by providing suggestions for future studies to simultaneously investigate the relationships specified by the TMCC

The Image of the City Out of the Underlying Scaling of City Artifacts or Locations

Two fundamental issues surrounding research on the image of the city respectively focus on the city's external and internal representations. The external representation in the context of this paper refers to the city itself, external to human minds, while the internal representation concerns how the city is represented in human minds internally. This paper deals with the first issue, i.e., what trait the city has that make it imageable? We develop an argument that the image of the city arises from the underlying scaling of city artifacts or locations. This scaling refers to the fact that, in an imageable city (a city that can easily be imaged in human minds), small city artifacts are far more common than large ones; or alternatively low dense locations are far more common than high dense locations. The sizes of city artifacts in a rank-size plot exhibit a heavy tailed distribution consisting of the head, which is composed of a minority of unique artifacts (vital and very important), and the tail, which is composed of redundant other artifacts (trivial and less important). Eventually, those extremely unique and vital artifacts in the top head, i.e., what Lynch called city elements, make up the image of the city. We argue that the ever-increasing amount of geographic information on cities, in particular obtained from social media such as Flickr and Twitter, can turn research on the image of the city, or cognitive mapping in general, into a quantitative manner. The scaling property might be formulated as a law of geography. Keywords: Scaling of geographic space, face of the city, cognitive maps, power law, and heavy tailed distributions.Comment: 13 pages, 9 figures, 2 table

Of Black Swans and Tossed Coins: Is the Description-Experience Gap in Risky Choice Limited to Rare Events?

When faced with risky decisions, people tend to be risk averse for gains and risk seeking for losses (the reflection effect). Studies examining this risk-sensitive decision making, however, typically ask people directly what they would do in hypothetical choice scenarios. A recent flurry of studies has shown that when these risky decisions include rare outcomes, people make different choices for explicitly described probabilities than for experienced probabilistic outcomes. Specifically, rare outcomes are overweighted when described and underweighted when experienced. In two experiments, we examined risk-sensitive decision making when the risky option had two equally probable (50%) outcomes. For experience-based decisions, there was a reversal of the reflection effect with greater risk seeking for gains than for losses, as compared to description-based decisions. This fundamental difference in experienced and described choices cannot be explained by the weighting of rare events and suggests a separate subjective utility curve for experience

Assessing planning decisions by activity type during the scheduling process

Existing activity-based models still make assumptions about scheduling decision processes that are not well-informed by empirical evidence. In this article, a step forward is taken to better understand the activity-scheduling process and to improve activity-based models. In particular, different planning decision mechanisms depending on several activity type classifications are explored. First, models describing the planning of several aggregate activity types are considered. For these activities, three planning decisions are studied: location, planning time horizon and rescheduling. The 'with whom' planning decision is also studied when subtypes of recreational/entertainment activities are investigated in depth. Significant differences are found in modelling results for each activity type and subtype and each planning decision. These results confirm the existence of different mechanisms underlying the activity-travel decision process when activity types and subtypes are considered. Important conclusions related to the improvement of microsimulation models are highlighted.Ruiz Sánchez, T.; Roorda, MJ. (2011). Assessing planning decisions by activity type during the scheduling process. Transportmetrica. 7(6):417-442. doi:10.1080/18128602.2010.520276S4174427

"If only I had taken the other road...": Regret, risk and reinforced learning in informed route-choice

This paper presents a study of the effect of regret on route choice behavior when both descriptional information and experiential feedback on choice outcomes are provided. The relevance of Regret Theory in travel behavior has been well demonstrated in non-repeated choice environments involving decisions on the basis of descriptional information. The relation between regret and reinforced learning through experiential feedbacks is less understood. Using data obtained from a simple route-choice experiment involving different levels of travel time variability, discrete-choice models accounting for regret aversion effects are estimated. The results suggest that regret aversion is more evident when descriptional information is provided ex-ante compared to a pure learning from experience condition. Yet, the source of regret is related more strongly to experiential feedbacks rather than to the descriptional information itself. Payoff variability is negatively associated with regret. Regret aversion is more observable in choice situations that reveal risk-seeking, and less in the case of risk-aversion. These results are important for predicting the possible behavioral impacts of emerging information and communication technologies and intelligent transportation systems on travelers' behavior. © 2012 Springer Science+Business Media, LLC

On the assessment of landmark salience for human navigation

In this paper, we propose a conceptual framework for assessing the salience of landmarks for navigation. Landmark salience is derived as a result of the observer’s point of view, both physical and cognitive, the surrounding environment, and the objects contained therein. This is in contrast to the currently held view that salience is an inherent property of some spatial feature. Salience, in our approach, is expressed as a three-valued Saliency Vector. The components that determine this vector are Perceptual Salience, which defines the exogenous (or passive) potential of an object or region for acquisition of visual attention, Cognitive Salience, which is an endogenous (or active) mode of orienting attention, triggered by informative cues providing advance information about the target location, and Contextual Salience, which is tightly coupled to modality and task to be performed. This separation between voluntary and involuntary direction of visual attention in dependence of the context allows defining a framework that accounts for the interaction between observer, environment, and landmark. We identify the low-level factors that contribute to each type of salience and suggest a probabilistic approach for their integration. Finally, we discuss the implications, consider restrictions, and explore the scope of the framework