Smart Urban Mobility
Transport Planning in the Age of Big Data and Digital Twins
- 1 Edición - 8 de febrero de 2023
- Última edición
- Autor: Ivana Cavar Semanjski
- Idioma: Inglés
Smart Urban Mobility: Transport Planning in the Age of Big Data and Digital Twins explores the data-driven paradigm shift in urban mobility planning and examines how well-e… Leer más
Descripción
Descripción
Smart Urban Mobility: Transport Planning in the Age of Big Data and Digital Twins explores the data-driven paradigm shift in urban mobility planning and examines how well-established practices and strong data analytics efforts can be better aligned to fit transport planning practices and "smart" mobility management needs. The book provides a comprehensive survey of the major big data and technology resources derived from smart cities research which are collectively poised to transform urban mobility. Chapters highlight the important aspects of each data source affecting applicability, along with the outcomes of smart mobility measures and campaigns.
Transport planners, urban policymakers, public administrators, city managers, data scientists, and consulting companies managing smart city interventions and data-driven urban transformation projects will gain a better understanding of this up-and-coming research from this book’s detailed overview and numerous practical examples and best practices for operational deployment.
Transport planners, urban policymakers, public administrators, city managers, data scientists, and consulting companies managing smart city interventions and data-driven urban transformation projects will gain a better understanding of this up-and-coming research from this book’s detailed overview and numerous practical examples and best practices for operational deployment.
Puntos claves
Puntos claves
- Addresses key principles underlying smart mobility, as well as opportunities and challenges of integrating big data-driven insights into transport planning and smart cities
- Presents practical advice on how to implement smart mobility advances, providing a benchmark reference by best practice examples in the field
- Examines synthesis of existing gaps, limitations, and big data potential beyond traditional data needs for transport planning, as well as examples of the best practices
De interès para
De interès para
Transport planners, urban policymakers, public administrators, city managers, data scientists, and consulting companies managing smart city interventions and data-driven urban transformation projects
Índice
Índice
1. Introduction to smart urban mobility
2. The new challenge of smart urban mobility
3. Small and big data for mobility studies
4. Transport planning and big data
5. Data driven mobility management
6. Digital Twins and mobility management
7. Future prospects for smart urban mobility
2. The new challenge of smart urban mobility
3. Small and big data for mobility studies
4. Transport planning and big data
5. Data driven mobility management
6. Digital Twins and mobility management
7. Future prospects for smart urban mobility
Reseñas
Reseñas
"This book focuses on the data-driven paradism-shift in urban mobility planning, on the needs of transport planners and smart mobility decisions makers. It offers an overview of the main big data sources, much more."—Wonderpedia USA
Detalles del producto
Detalles del producto
- Edición: 1
- Última edición
- Publicado: 16 de febrero de 2023
- Idioma: Inglés
Sobre el autor
Sobre el autor
IS
Ivana Cavar Semanjski
Prof. Ivana Cavar Semanjski has over 20 years of work experience in mobility-related research. During this time, she has participated in more than 20 scientific projects, working with multidisciplinary teams on transport planning issues. She is affiliated with the Faculty of Engineering and Architecture, ISyE, at Ghent University, Belgium. She has published over 100 papers and has edited and co-authored seven books. She is also an expert evaluator at the European Commission for mobility planning- and urban data analytic- related topics, sharing her knowledge and passion for mobility data analytics with policy makers, industry partners, and researchers.
Afiliaciones y experiencia
Faculty of Engineering and Architecture, Department of Industrial Systems Engineering and Product Design, Ghent University, Ghent, BelgiumVer libro en ScienceDirect
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