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Mapping the Travel Behavior Genome

  • ID: 4772208
  • Book
  • 360 Pages
  • Elsevier Science and Technology
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Mapping the Travel Behavior Genome covers the latest research on the motivational, cognitive, situational and disposition factors that drive activity-travel behavior. Organized into five themes, including psychometrics, pattern recognition, human interaction, new data collection/surveys, and modeling and simulation, the book provides insights into the diversity of travel behaviors. Including the movement of goods and the movement of people, the book shows how traveler values, norms, attitudes and constraints lead to observed behavior, how to design efficient infrastructure and services to meet tomorrow's needs for accessibility and mobility, and how to implement policies for improving sustainability.

In addition, the book examines the paradigm shift towards more dynamic, user-centric, demand responsive transport services, including the sharing economy, mobility as a service, automation and robotics. Finally, it identifies who gains and who loses from these innovations while quantifying their social, economic and environmental impacts.

  • 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
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Retrospective and Prospective Survey of Travel Behavior Research 1. OUR IATBR: 45 years of travel behavior 2. Travel demand models, the next generation: Boldly going where no-one has gone before 3. Behavioral travel behavior research 1982-2018. 4. Environmental Correlates of Travel Behavior from a Destination Attractiveness and Activity Timing Perspectives 5. Mobility as a service 6. Consumer choice modeling: The promises and the cautions

Attitudes, Values and Behavior 7. Battle of the generations. How mobility attitudes and behaviour differ (or not) over generations 8. How Attitudes Effect On-Demand Mobility Usage
an Example from China 9. Influence of pricing on mode choice decision integrated with latent variable: The case of Jakarta greater area 10. An empirical assessment of the impact of incorporating attitudinal variables on model transferability 11. Panel approach: Travel behavior and psycho-attitudinal factors evolution

Happiness 12. Long-Distance and Intercity Travel: Who participates in Global Mobility? 13. To play but not for travel: Utilitarian versus hedonic bikers in Cagliari, Italy 14. Influence of Childhood Experiences and Present Life Circumstances on Elderly Wellbeing: A Hybrid Multiple Ordered Probit model with Analytical Estimation Approach 15. Exploring the positive utility of travel and mode choice: Subjective well-being and travel-based multitasking during the commute

Time Use 16. Travel, social networks and time use: Modelling complex real-life behaviour 17. A flexible activity scheduling conflict resolution framework 18. 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 19. Modelling activity-travel behavior of non-workers grouped by their daily activity patterns 20. Activity-travel fragmentation in California

Human Interaction 21. Choice Modeling Perspectives on the Use of Interpersonal Social Networks and Social Interactions in Activity and Travel Behavior 22. Joint influence of built environment and travel behavior of young people on their future life and migration choices: A case of study in rural Japan 23. A life-oriented agent-based Longer-term Household decision simulator 24. A collective household model of driving cessation of older adults 25. Who has more say on your daily time use? A quantitative intra-household time-use altruism analysis

Active Travel 26. Data-oriented sequential modeling of pedestrian behavior in urban spaces based on dynamic-activity domains 27. Open source data-driven method to identify most influencing spatiotemporal factors. An example of station-based bike sharing 28. Modelling the interactions between mobility options in the surrounding of bikesharing stations

Automation 29. Investigating adoption behavior of advanced vehicle technologies 30. Analysis of behavioral responses in connected and autonomous vehicle environment 31. Estimating impact of autonomous driving on value of travel time savings for long-distance trips using revealed and stated preference methods 32. Stated ownership and intended in-vehicle time use of privately-owned autonomous vehicles

Electrification 33. The impact of new mobility technologies and government polices on vehicle willingness to purchase in Australia 34. Assessment of fast charging station locations
An integrated model based approach

Policy Implications 35. Exploring the Relationships between the Use of Uber and Lyft and Other Components of Travel Behavior in California 36. Innovative pricing policies for urban traffic: A field experiment

Workshop Reports 37. IATBR2018 Workshop reports summary on Mobility as a Service, Time Use and Travel, Transport for Healthy, Happy, and Holistic Living, Automation and Self-Driving, Data-Driven Learning and Travel, Life-Course and Dynamics, Big Data and Travel, and Connected Freight

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Goulias, Konstadinos G.
Konstadinos Goulias is Professor of Transportation in the Geography Department and Co-Director of the GeoTrans Laboratory at the University of California- Santa Barbara, Editor-in-Chief of Transportation Letters, and Vice-Chair of the International Association for Travel Behavior Research. He is co-editor of Transportation Systems Planning: Methods and Applications and the author or co-author of more than 270 papers and reports in travel behavior dynamics, geographic information science, and microsimulation.
Davis, Adam W.
Adam W. Davis is a postdoctoral researcher in the Institute of Transportation Studies at the University of California Davis. He holds a PhD and MA from the Department of Geography at the University of California Santa Barbara and a BA in Geography from University of California Berkeley. His research is on travel behavior, spatial computational methods, spatial perception, and network-based analysis. He also worked as a research geographer with USGS and as an environmental analyst. Adam has authored and co-authored more than 25 research papers and reports to sponsors.
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