Mapping the Travel Behavior Genome

Mapping the Travel Behavior Genome covers the latest research on the biological, motivational, cognitive, situational, and dispositional factors that drive activity-travel behavior. Organized into three sections, Retrospective and Prospective Survey of Travel Behavior Research, New Research Methods and Findings, and Future Research, the chapters of this book provide evidence of progress made in the most recent years in four dimensions of the travel behavior genome. These dimensions are Substantive Problems, Theoretical and Conceptual Frameworks, Behavioral Measurement, and Behavioral Analysis. Including the movement of goods as well as the movement of people, the book shows how traveler values, norms, attitudes, perceptions, emotions, feelings, and constraints lead to observed behavior; how to design efficient infrastructure and services to meet tomorrow’s needs for accessibility and mobility; how to assess equity and distributional justice; and how to assess and implement policies for improving sustainability and quality of life.

Mapping the Travel Behavior Genome examines the paradigm shift toward more dynamic, user-centric, demand-responsive transport services, including the "sharing economy," mobility as a service, automation, and robotics. This volume provides research directions to answer behavioral questions emerging from these upheavals.

• Offers a wide variety of approaches from leading travel behavior researchers from around the world
• Provides a complete map of the methods, skills, and knowledge needed to work in travel behavior
• Describes the state of the art in travel behavior research, providing key directions for future research

Transportation graduate students, scholars, practitioners, consultants, and policy-analysts interested in travel and human behavior research

1. Introduction and the Genome of Travel Behavior

Retrospective and Prospective Survey of Travel Behavior Research
2. OUR IATBR: 45 years contributing to travel behavior research
3. Travel demand models, the next generation: Boldly going where no-one has gone before
4. Behavioral travel behavior research 1982-2018.
5. Consumer choice modeling: The promises and the cautions

New Research Methods and Findings
6. Environmental Correlates of Travel Behavior from Destination Attractiveness and Activity Timing Perspectives
7. How attitudes affect on-demand mobility usage – an example from China
8. Influence of pricing on mode choice decision integrated with latent variable: The case of Jakarta greater area
9. An empirical assessment of the impact of incorporating attitudinal variables on model transferability
10. Panel approach: Travel behavior and psycho-attitudinal factors evolution
11. Long-distance and intercity travel: Who participates in global mobility?
12. To play but not for travel: Utilitarian versus hedonic bikers in Cagliari, Italy
13. Influence of childhood experiences and present life circumstances on elderly wellbeing: A hybrid multiple ordered probit model with analytical estimation approach
14. Exploring the positive utility of travel and mode choice: Subjective well-being and travel-based multitasking during the commute
15. Travel, social networks and time use: Modeling complex real-life behavior
16. A flexible activity scheduling conflict resolution framework
17. Daily activity-travel patterns of different american generations: An exploratory analysis utilizing multiple waves of american heritage time use survey and national household travel survey datasets
18. Modeling activity-travel behavior of non-workers grouped by their daily activity patterns
19. Sequence Analysis of Place-Travel Fragmentation in California
20. Choice Modeling Perspectives on the Use of Interpersonal Social Networks and Social Interactions in Activity and Travel Behavior
21. Impacts of built environment and travel behavior on high school students’ life satisfaction and future life plans: A preference-based case study in depopulated areas of Japan
22. A collective household model of driving cessation of older adults
23. Who has more say on your daily time use? A quantitative intra-household time-use altruism analysis
24. Data-oriented sequential modeling of pedestrian behavior in urban spaces based on dynamic-activity domains
25. Open source data–driven method to identify most influencing spatiotemporal factors. An example of station–based bike sharing
26. Modeling the interactions between mobility options in the surrounding of bikesharing stations

Automation
27. Analysis of behavioral responses in connected and autonomous vehicle environment
28. Estimating impact of autonomous driving on value of travel time savings for long-distance trips using revealed and stated preference methods
29. Stated ownership and intended in-vehicle time use of privately-owned autonomous vehicles
30. Assessment of fast charging station locations - An integrated model based approach
31. Innovative pricing policies for urban traffic: A field experiment

IATBR2018 Research Workshops
32. Workshop Summary and Research Themes