Demand for Emerging Transportation Systems: Modeling Adoption, Satisfaction, and Mobility Patterns comprehensively examines the concepts and factors affecting user quality-of-service satisfaction. The book provides an introduction to the latest trends in transportation, followed by a critical review of factors affecting traditional and emerging transportation system adoption rates and user retention. This collection includes a rigorous introduction to the tools necessary for analyzing these factors, as well as Big Data collection methodologies, such as smartphone and social media analysis. Researchers will be guided through the nuances of transport and mobility services adoption, closing with an outlook of, and recommendations for, future research on the topic. This resource will appeal to practitioners and graduate students.
1. Part A. Introduction - p. xvi 2. Chapter 1. Introduction - p. 3 3. Part B. A critical review of (emerging?) transportation systems - p. 8 4. Chapter 2. Review of factors affecting transportation systems adoption and satisfaction - p. 11 5. Chapter 3. Mobility on demand (MOD) and mobility as a service (MaaS): early understanding of shared mobility impacts and public transit partnerships - p. 37 6. Chapter 4. Implications of vehicle automation for accessibility and social inclusion of people on low income, people with physical and sensory disabilities, and older people - p. 61 7. Part C. Methods - p. 73 8. Chapter 5. Data aspects of the evaluation of demand for emerging transportation systems - p. 77 9. Chapter 6. Location planning for one-way carsharing systems considering accessibility improvements: the case of super-compact electric cars - p. 101 10. Chapter 7. Uncovering spatiotemporal structures from transit smart card data for individual mobility modeling - p. 123 11. Chapter 8. Planning shared automated vehicle fleets: Specific modeling requirements and concepts to address them - p. 151 12. Part D. Applications - p. 168 13. Chapter 9. Public transport - p. 171 14. Chapter 10. Factors affecting the adoption of vehicle sharing systems - p. 189 15. Chapter 11. Carsharing: An overview on what we know - p. 211 16. Chapter 12. SMART mobility via prediction, optimization and personalization - p. 227 17. Chapter 13. Urban air mobility - p. 267 18. Part E. Outlook - p. 284 19. Chapter 14. Conclusions - p. 287 20. Index - p. 291
Demand for Emerging Transportation Systems: Modeling Adoption, Satisfaction, and Mobility Patterns comprehensively examines the concepts and factors affecting user quality-of-service satisfaction. The book provides an introduction to the latest trends in transportation, followed by a critical review of factors affecting traditional and emerging transportation system adoption rates and user retention. This collection includes a rigorous introduction to the tools necessary for analyzing these factors, as well as Big Data collection methodologies, such as smartphone and social media analysis. Researchers will be guided through the nuances of transport and mobility services adoption, closing with an outlook of, and recommendations for, future research on the topic. This resource will appeal to practitioners and graduate students.
1. Part A. Introduction - p. xvi 2. Chapter 1. Introduction - p. 3 3. Part B. A critical review of (emerging?) transportation systems - p. 8 4. Chapter 2. Review of factors affecting transportation systems adoption and satisfaction - p. 11 5. Chapter 3. Mobility on demand (MOD) and mobility as a service (MaaS): early understanding of shared mobility impacts and public transit partnerships - p. 37 6. Chapter 4. Implications of vehicle automation for accessibility and social inclusion of people on low income, people with physical and sensory disabilities, and older people - p. 61 7. Part C. Methods - p. 73 8. Chapter 5. Data aspects of the evaluation of demand for emerging transportation systems - p. 77 9. Chapter 6. Location planning for one-way carsharing systems considering accessibility improvements: the case of super-compact electric cars - p. 101 10. Chapter 7. Uncovering spatiotemporal structures from transit smart card data for individual mobility modeling - p. 123 11. Chapter 8. Planning shared automated vehicle fleets: Specific modeling requirements and concepts to address them - p. 151 12. Part D. Applications - p. 168 13. Chapter 9. Public transport - p. 171 14. Chapter 10. Factors affecting the adoption of vehicle sharing systems - p. 189 15. Chapter 11. Carsharing: An overview on what we know - p. 211 16. Chapter 12. SMART mobility via prediction, optimization and personalization - p. 227 17. Chapter 13. Urban air mobility - p. 267 18. Part E. Outlook - p. 284 19. Chapter 14. Conclusions - p. 287 20. Index - p. 291
