Demand for Emerging Transportation Systems

Modeling Adoption, Satisfaction, and Mobility Patterns
Erscheinungsjahr 2019
ISBN: 978-0-12-815018-4
Verlag: Elsevier Science Publishing Co Inc

Buch, Englisch, 312 Seiten, Format (B × H): 228 mm x 153 mm, Gewicht: 496 g

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.

Zielgruppe

1) Academic researchers and graduate students in transportation modeling, planning and systems 2) Transportation practitioners involved in planning, feasibility studies, consultation and policy for transportation systems or infrastructure, 3) Transportation public officials such as city managers, policy directors, etc.

Autoren/Hrsg.

Antoniou, Constantinos

Efthymiou, Dimitrios

Chaniotakis, Emmanouil

Fachgebiete

• Geowissenschaften Geographie | Raumplanung Regional- & Raumplanung Verkehrsplanung, Verkehrspolitik
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Transport- und Verkehrswirtschaft
• Technische Wissenschaften Bauingenieurwesen Verkehrsingenieurwesen, Verkehrsplanung

Über Autor(innen)

Chaniotakis, Emmanouil
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.

Antoniou, Constantinos
Constantinos Antoniou is a Professor and Chair of Transportation Systems Engineering at the Technical University of Munich, Germany. He was previously an Associate Professor at the National Technical University of Athens, Greece. His research focuses on modelling and simulation of transportation systems, Intelligent Transport Systems (ITS), calibration and optimization applications, road safety and sustainable transport system. Antoniou has been involved in a large number of projects, primarily in Europe and the US, and has authored more than 500 scientific publications, including in Elsevier's Transportation Research Part C: Emerging Technologies (for which he serves on the editorial board) and Transportation Research Part A: Policy and Practice (for which he serves as an Associate Editor).

Efthymiou, Dimitrios
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.