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Smart Urban Mobility

Transport Planning in the Age of Big Data and Digital Twins

"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

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. Les mer

1421,-
Paperback
Sendes innen 7 virkedager
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.

Detaljer

Forlag
Elsevier Science Publishing Co Inc
Innbinding
Paperback
Språk
Engelsk
ISBN
9780128207178
Utgivelsesår
2023
Format
24 x 19 cm

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"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

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