Elsevier Smart Urban Mobility: Transport Planning in the Age of Big Data and Digital Twins

Product Description 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. Review Creates a bridge between big data research and urban transport planning for smarter mobility and smarter cities From the Back Cover <i>Smart Urban Mobility: Transport Planning in the Age of Big Data and Digital Twins</i> 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.<br><br>The work is supported by numerous practical examples and best practices for operational deployment that cover the domain of sensing technologies in a variety of applications. About the Author 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.