Stimulate public transport and active/shared transport modes
Combat congestion, climate change, and improve public health
Disciplinary Perspectives
Psychology, economics, geography
Differences in determinants and mechanisms
Interconnectedness between disciplines
Understanding Travel Behavior
1. Importance of interdisciplinary approach
2. Psychology, economics, and geography perspectives
3. Factors influencing travel choices
Macro-level Influences
Economic growth, demographic changes
Societal developments affect NOA factors
BEHAVIOURAL CHOICES FROM A PSYCHOLOGICAL PERSPECTIVE
1. Theoretical Perspectives in Psychology
2. Integration into Framework
3. Shortcomings
4. Motivational Factors
Perceived Feasibility
Perception affects choices
People may lack information on alternatives
Conceptual Model of Travel Behaviour
NOA Model Needs, Opportunities, Abilities
Influences travel behavior
Changes in response to alterations in NOA factors
Travel Behavior Statistics
Key indicators driving licenses, car ownership, trips, kilometers/day
Differentiated by gender, age, income
Multilevel Perspective
Spatial scales influence manifestations of changes
Neighbourhood, city, region, country, continent
Theoretical Perspectives on Motivational Factors
Weighing various individual costs and benefits
Moral and normative concerns
Affect and symbolic factors
Value-Belief-Norm (VBN) Theory
Problem awareness rooted in personal values
Self-transcendence values linked to favorability of reducing car use
Norm Activation Model (NAM)
People engage in behaviors based on moral obligation
Personal norms activated by problem awareness and outcome efficacy
Theory of Planned Behavior (TPB)
Assumes behavior results from intentions
Influenced by attitudes, subjective norms, perceived behavioral control
Reflects costs, benefits, social norms, and feasibility
Integrative Perspective
Goal-framing theory suggests multiple goals influence behavior
Hedonic, gain, and normative goal-frames coincide with theoretical frameworks
Affect and Symbolic Factors
Travel behavior influenced by instrumental, symbolic, and affective motives
Car use related to symbolic and affective motives more strongly than instrumental
Contextual Factors
1. Direct Effect of Contextual Factors
2. Indirect Effect of Contextual Factors
3. Moderation of Relationship
4. Determination of Dominant Motivation
Characteristics of Habits
Habits are formed when behavior consistently leads to positive outcomes
They involve a goal to be achieved, repetition of the same action, and are mediated by mental processes
Behavior becomes automatically elicited by contextual cues associated with the goal-directed behavior
Measurement of Habit Strength
Habit strength is measured by assessing how choices are made in familiar situations, rather than simply focusing on the frequency of behavior
This approach, known as the response-frequency measure, has been successfully used in studies on travel behavior
Temporary measures inducing alternative travel modes
Resulted in long-term reductions in car use, particularly among habitual car drivers
Lifestyle changes
Moving, changing jobs, having children, or the COVID-19 pandemic can prompt reconsideration of habitual behavior
Measurement of Habit Strength
Assessed by how choices are made in familiar situations, rather than simply focusing on the frequency of behavior
Preferences of consumers
Form the basis of analysis, and individuals are assumed to make choices by comparing options based on desirability
Complete and Consistent Ranking
Consumers are assumed to arrive at a complete and consistent ranking of alternatives, enabling comparisons among different options
Behavioral Economics Integration
Economic models assume that individuals make choices based on rational considerations to maximize overall satisfaction
Utility Functions and Preferences
Utility functions represent consumer preferences, where attributes of alternatives are weighted according to their importance
Budget Allocation and Trade-offs
Consumers allocate monetary and time budgets over alternative uses, considering not only the price of goods or services but also the time required for consumption
Demand Function for Travel
Optimization of utility by consumers results in a demand function for kilometers traveled, showing how travel demand varies with the price per kilometer and the time needed to travel, among other factors
Generalized Costs
Encompass both monetary and time-related costs, with an increasing share of time costs in generalized transport costs as people become wealthier
Sophisticated Models
Separate VOT from values of schedule delays and travel time uncertainty to better capture complex decision-making scenarios
Variability of VOT
Different travelers have different values of time, which can also vary depending on circumstances and trip purposes
Value of Travel Time
Represents the trade-off consumers make between price and speed when comparing different travel options
Cross-Price Elasticity
Measures the sensitivity of demand for one good to changes in the price of another good
Travel Time Elasticity
Measures the sensitivity of demand for travel time
Own Price Elasticity
Measures the sensitivity of demand for a good or service to changes in its own price
Price Elasticity
The sensitivity of demand with respect to price changes: own price elasticity and cross-price elasticity