Description
Demand for Emerging Transportation Systems
Modeling Adoption, Satisfaction, and Mobility Patterns
Coordinators: Antoniou Constantinos, Efthymiou Dimitrios, Chaniotakis Emmanouil
Language: EnglishSubject for Demand for Emerging Transportation Systems:
Keywords
Accessibility; Agent-based simulation; Analysis methods; Automated vehicles; Autonomous vehicles; Bayesian inference; Benchmarking; Bikesharing; Carsharing; Customer satisfaction; Data analysis; Data aspects; Demographics; Diverse data sources; Dynamic traffic assignment; Emerging data; Factor analysis; Factors affecting adoption; Impacts; Individual mobility; Inter- and intraconsumer heterogeneity; Mobility as a service; Mobility modes adoption; Mobility on demand; Modal split; On-demand mobility; Online calibration; Optimization; Ordered regression modeling; Personalization; Planning; Prediction; Public policy; Public transit; Public transport; Public transportation; Public–private partnerships; Quadrant analysis; Shared fleets; Shared mobility; Smart mobility; Social inclusion; Station location; Structural equation modeling; Transit smart card data; Transport modeling; Trasport survey; Travel behavior
312 p. · 15x22.8 cm · Paperback
Description
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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.
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 ?yrinopoulos
- Factors Affecting the Adoption of Vehicle Sharing Systems
Dimitrios ?fthymiou, 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
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.
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.
- 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