Data Analytics: Paving the Way to Sustainable Urban Mobility - Proceedings of 4th Conference on Sustainable Urban Mobility (CSUM2018), 24 - 25 May, Skiathos Island, Greece (Paperback, 1st ed. 2019)

This book aims at showing how big data sources and data analytics can play an important role in sustainable mobility. It is especially intended to provide academicians, researchers, practitioners and decision makers with a snapshot of methods that can be effectively used to improve urban mobility. The different chapters, which report on contributions presented at the 4th Conference on Sustainable Urban Mobility, held on May 24-25, 2018, in Skiathos Island, Greece, cover different thematic areas, such as social networks and traveler behavior, applications of big data technologies in transportation and analytics, transport infrastructure and traffic management, transportation modeling, vehicle emissions and environmental impacts, public transport and demand responsive systems, intermodal interchanges, smart city logistics systems, data security and associated legal aspects. They show in particular how to apply big data in improving urban mobility, discuss important challenges in developing and implementing analytics methods and provide the reader with an up-to-date review of the most representative research on data management techniques for enabling sustainable urban mobility

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Advances in Intelligent Systems and Computing, 879
Release date:	December 2018
First published:	2019
Editors:	Eftihia G. Nathanail • Ioannis D. Karakikes
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	868
Edition:	1st ed. 2019
ISBN-13:	978-3-03-002304-1
Categories:	Books > Earth & environment > The environment > Environmental economics > Sustainability Books > Earth & environment > Regional & area planning > Transport planning & policy > General Books > Computing & IT > Applications of computing > Databases > Data mining Promotions
LSN:	3-03-002304-4
Barcode:	9783030023041

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