Mapping the Travel Behavior Genome

<p>1. Introduction and the genome of travel behavior<br><br>Part I: Retrospective and Prospective Survey of Travel Behavior Research<br>2. OUR IATBR: 45 years contributing to travel behavior research<br>3. Travel demand models, the next generation: boldly going where no-one has gone before<br>4. Travel behavior and psychology: life time achievement 1982-2018<br>5. Consumer choice modeling: the promises and the cautions<br><br>Part II: New Research Methods and Findings<br>6. Environmental correlates of travel behavior from a destination attractiveness and activity timing perspectives<br>7. The role of attitudes in on-demand mobility usage - an example from Shanghai<br>8. Influence of pricing on mode choice decision integrated with latent variable: the case of Jakarta Greater Area <br>9. An empirical assessment of the impact of incorporating attitudinal variables on model transferability<br>10. Panel approach: travel behavior and psycho-attitudinal factors evolution <br>11. Long-distance and intercity travel: who participates in global mobility? <br>12. To play but not for travel: utilitarian versus hedonic and non-cyclists in Cagliari, Italy <br>13. Influence of childhood experiences and present life circumstances on elderly wellbeing: a hybrid multiple ordered probit model with analytical estimation approach <br>14. Exploring the positive utility of travel and mode choice: subjective well-being and travel-based multitasking during the commute<br>15. Travel, social networks and time use: modeling complex real-life behavior<br>16. A flexible activity scheduling conflict resolution framework<br>17. Explore daily activity-travel behavior of the elderly using multiyear survey data<br>18. Modeling activity-travel behavior of non-workers grouped by their daily activity patterns<br>19. Sequence analysis of place-travel fragmentation in California<br>20. Choice modeling perspectives on the use of interpersonal social networks and social interactions in activity and travel behavior<br>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<br>22. A collective household model of driving cessation of older adults<br>23. Who has more say on your daily time use? A quantitative intra-household time-use altruism analysis <br>24. Data-oriented sequential modeling of pedestrian behavior in urban spaces based on dynamic-activity domains<br>25. Open source data–driven method to identify most influencing spatiotemporal factors. An example of station–based bike sharing <br>26. Modeling the interactions between mobility options in the surrounding of bikesharing stations <br>27. Virtual immersive reality based analysis of behavioural responses in connected and autonomous vehicle environment<br>28. Estimating impact of autonomous driving on value of travel time savings for long-distance trips using revealed and stated preference methods<br>29. Stated ownership and intended in-vehicle time use of privately-owned autonomous vehicles<br>30. Assessment of fast charging station locations - an integrated model based approach <br>31. Innovative pricing policies for commuting: a field experiment<br><br>Part III: IATBR2018 Research Workshops<br>32. Workshop summary and research themes<br>Introduction and background<br>Workshop on automation and self-driving<br>Workshop on mobility as a service<br>Workshop on time use and travel<br>Workshop on data-driven learning and travel<br>Workshop on transport for healthy, happy, and holistic living<br>Workshop on life-course and dynamics<br>Workshop on big data and travel<br>Workshop on connected freight</p> <p> </p>