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: psychometrics; pattern recognition; human interaction; new data collection/surveys; and modeling & simulation, Mapping the Travel Behavior Genome provides insights into the diversity of travel behaviors. Including the movement of goods as well as the movement of people, the book shows how traveler values, norms, attitudes, and constraints lead to observed behaviour, how to design efficient infrastructure and services to meet tomorrow's needs for accessibility and mobility, and how to implement policies for improving sustainability. The book focuses on analysing modeling of travel demand, analysing policy needs, data collection, and both theoretical and computational approaches. Mapping the Travel Behavior Genome examines the paradigm shift towards more dynamic, user-centric, demand responsive transport services, including the ?sharing economy,? Mobility as a Service, automation, and robotics. It identifies who gains and who loses from these innovations while quantifying their social, economic, and environmental impacts. Mapping the Travel Behavior Genome provides a comprehensive approach to research directions to answer travel behavior questions emerging from new market forces and disruptive technologies. Offers a wide variety of approaches from leading travel behavior researchers from around the worldProvides a complete map of the methods, skills, and knowledge needed to work in travel behaviorDescribes the state-of-the-art in travel behavior research, providing key directions for future research INDICE: 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. Perceived changes in in-vehicle time use in the era of 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
- ISBN: 978-0-12-817340-4
- Editorial: Elsevier
- Encuadernacion: Rústica
- Páginas: 360
- Fecha Publicación: 01/11/2019
- Nº Volúmenes: 1
- Idioma: Inglés