Demand for Emerging Transportation Systems
Modeling Adoption, Satisfaction, and Mobility Patterns
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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.
Key Features
- Examines the dynamics affecting adoption rates for public transportation, vehicle-sharing, ridesharing systems and autonomous vehicles
- Covers the rationale behind travelers’ continuous use of mobility services and their satisfaction and development
- Includes case studies, featuring mobility stats and contributions from around the world
Readership
Academic researchers and graduate students in transportation modeling, planning and systems. Transportation practitioners involved in planning, feasibility studies, consultation and policy for transportation systems or infrastructure. Transportation public officials such as city managers, policy directors, etc.
Table of Contents
Part A: Introduction
Introduction
Constantinos Antoniou, Emmanouil Chaniotakis and Dimitrios Efthymiou
Part B. A critical review of (emerging?) transportation systems.
- Review of factors affecting transportation systems adoption & satisfaction.
Yannis Tyrinopoulos and Constantinos Antoniou
- Mobility on Demand (MOD) and Mobility as a Service (MaaS): Early Understanding of Shared Mobility Impacts and Public Transit Partnerships.
Susan Shaheen and Adam Cohen
- Implications of vehicle automation for accessibility and social inclusion of people on low income, people with physical and sensory disabilities and older people.
Dimitris Milakis and Bert van Wee
Part C. Methods.
- Data Aspects of the Evaluation of Demand for Emerging Transportation Systems.
Emmanouil Chaniotakis, Dimitrios Efthymiou and Constantinos Antoniou
- Location Planning for One-way Car Sharing Systems Considering Accessibility Improvements: the case of super-compact electric cars.
Tomoki Nishigaki, Jan-Dirk Schmöcker, Toshiyuki Nakamura, Nobuhiro Uno, Masahiro Kuwahara, Akira Yoshioka
- Uncovering Spatiotemporal Structures from Transit Smart Card Data for Individual Mobility Modeling.
Zhao Zhao, Haris N. Koutsopoulos and Jinhua Zhao
- Planning Shared Automated Vehicle Fleets: Specific Modelling Requirements and Concepts to Address Them.
Francesco Ciari, Maxim Janzen and Cezary Ziemlicki
Part D. Applications
- Public Transport
Yannis Τyrinopoulos
- Factors Affecting the Adoption of Vehicle Sharing Systems
Dimitrios Εfthymiou, Emmanouil Chaniotakis and Constantinos Antoniou
- Carsharing - an overview on what we know
Stefan Schmöller and Klaus Bogenberger
- Smart Mobility via Prediction, Optimization and Personalization
Bilge Atasoy, Carlos Lima de Azevedo, Arun Prakash Akkinepally, Ravi Seshadri, Fang Zhao, Maya Abou-Zeid and Moshe Ben-Akiva
- Adoption, Modeling, and Effects of Urban Air Mobility
Raoul Rothfeld, Anna Straubinger, Mengying Fu, Christelle Al Haddad and Constantinos Antoniou
Part E. Outlook
15. Synthesis/Discussion/Conclusion
Emmanouil Chaniotakis, Dimitrios Efthymiou and Constantinos Antoniou
Product details
- No. of pages: 312
- Language: English
- Copyright: © Elsevier 2019
- Published: November 28, 2019
- Imprint: Elsevier
- Paperback ISBN: 9780128150184
- eBook ISBN: 9780128150191
About the Editors
Constantinos Antoniou
Constantinos Antoniou is a Professor and Chair of Transportation Systems Engineering at the Technical University of Munich. His research focuses on modelling and simulation of transportation systems, Intelligent Transport Systems, calibration and optimization applications, road safety and sustainable transport system. Dr. Antoniou has been involved in a large number of projects, primarily in Europe and the US, and has authored more than 250 scientific publications, including in Elsevier’s Transportation Research Part C: Emerging Technologies (for which he serves as an editorial board member), and Journal of Transport Geography. He is also the author of a book on dynamic traffic assignment models (On-line calibration for Dynamic Traffic Assignment models- Theory, methods and application - VDM Verlag).
Affiliations and Expertise
Professor and Chair of Transportation Systems Engineering, Technical University of Munich
Dimitrios Efthymiou
Dimitrios Efthymiou is a Senior Program Manager in Amazon and Research Affiliate in the Department of Civil, Geo and Environmental Engineering at the Technical University of Munich. His research focuses on urban analytics, transportation data analytics, spatial econometric models, discrete choice analysis, real estate price analytics, and sustainable transport systems. He has been involved in a number of research and consulting projects in Europe, and his research has been published in many journals, including Elsevier’s Journal of Transport Geography, and Transportation Research Part A: Policy and Practice.
Affiliations and Expertise
Senior Program Manager in Amazon and Research Affiliate in the Department of Civil, Geo and Environmental Engineering at the Technical University of Munich.
Emmanouil Chaniotakis
Emmanouil (Manos) Chaniotakis is Lecturer (Assistant Professor) at University College London (UCL). His research focuses on modelling and simulation of transportation systems, demand modeling, and machine learning in Transportation. He has been involved in various European and national projects and his research has been published in many journals, including Elsevier’s Transportation Research Part A: Policy and Practice and Transportation Research Part B: Methodological.
Affiliations and Expertise
Lecturer
MaaSLab, Energy Institute, University College London, London, United Kingdom
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