The Effect of Economic, Social and Psychological Factors on Transport Behavior of Polish Citizens. A Conjoint Analysis Approach

Inhaltsverzeichnis (Table of Contents)

• Introduction
• CHAPTER 1 Challenges of Mobility
  • 1.1. The Genesis and Consequences of Car-Based Mobility Systems
  • 1.2. Sustainability and Sustainable Mobility
  • 1.3. Sustainable Mobility of Today and the Future
• CHAPTER 2 Rationality and Irrationality
  • 2.1. Behavioral Decision Making
  • 2.2. Socio-Cognitive Models
  • 2.3. Models Focusing on Habits and Feelings
  • 2.4. Norms and Prosocial Behavior
  • 2.5. Behavior and the Acceptance of Innovations
  • 2.6. Five Psychological Perspectives Explaining Behavior
  • 2.7. Human Motivation Directing Behavior
  • 2.8. Personality and Emotions Directing Behavior
• CHAPTER 3 Methodology
  • 3.1. Preference Theories and Variants of Conjoint Analysis
  • 3.2. Discussion of the Variants of the Conjoint Analysis
  • 3.3. Modeling Strategies and Estimation Techniques
  • 3.4. Discussion of the Modeling Strategies and Estimation Techniques
  • 3.5. Study Design
  • 3.6. Data Collection and Sampling
• CHAPTER 4 Results
  • 4.1. Results on Socio-Demographics and Travel Aspects
  • 4.2. Results on Experienced Feelings (Mental State and Life Circumstances)
  • 4.3. Results related to Life Situation and Mental State (Experienced Feelings)
  • 4.4. Results on Attitudes and Personality and PLS-SEM Model
• Conclusions

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

The main objective of this PhD dissertation is to investigate to what extent statements made by respondents about a hypothetical situation correspond to their actual behavior. The research focuses on the transport behavior of Polish citizens, specifically examining the influence of economic, social, and psychological factors on their mode choice decisions. The dissertation aims to contribute to the understanding of how these factors impact sustainable transportation planning.

• The role of individual and societal factors in shaping transport behavior.
• The impact of psychological processes, such as emotions, habits, and personality traits, on mode choice.
• The effectiveness of transport policy instruments in promoting sustainable mobility.
• The potential of innovative mobility concepts, such as car-sharing and autonomous driving, to influence behavior change.
• The importance of considering well-being and flow experiences in sustainable transportation planning.

Zusammenfassung der Kapitel (Chapter Summaries)

The first chapter delves into the challenges of modern mobility, focusing on the consequences of car-based systems, such as climate change, noise pollution, and traffic accidents. It also explores the evolution of the concept of sustainability and outlines different approaches to achieving sustainable mobility. The chapter highlights the importance of considering a multi-disciplinary approach, encompassing technology, public transportation, land-use planning, and behavior change.

Chapter two examines the theories behind decision-making, contrasting rational choice theory with behavioral economics. The chapter delves into various utility theories and discusses the role of cognitive biases, emotions, and habits in shaping decisions. It presents several models, including the Theory of Planned Behavior (TPB) and the Engel-Blackwell-Miniard (EBM) model, which provide frameworks for understanding how individual and environmental factors influence consumer behavior.

Chapter three explores the methodology employed in the dissertation, focusing on the use of conjoint analysis. The chapter discusses different variants of conjoint analysis, including Traditional Conjoint Analysis (TCA), Choice-Based Conjoint Analysis (CBCA), Adaptive Conjoint Analysis (ACA), and Hybrid Conjoint Analysis. It also outlines different modeling strategies and estimation techniques, such as Logit models and Structural Equation Modeling (SEM), and explains the rationale for choosing PLS-SEM for data analysis.

Chapter four presents the results of the study, analyzing socio-demographic data, travel aspects, experienced feelings, and personality traits of the respondents. The chapter uses statistical methods, including ANOVA, chi-square tests, and factor analysis, to explore the relationships between different variables. It also presents the path diagram and path estimates of the PLS-SEM model, highlighting the significant relationships identified between various factors and mode choice behavior.

Schlüsselwörter (Keywords)

The core concepts and keywords of this PhD dissertation are: transport behavior, sustainable mobility, conjoint analysis, EBM model, psychological factors, emotions, habits, personality, transport policy instruments, employer incentives, and well-being.