Urban Freight Analytics: Big Data, Models, and Artificial Intelligence

Urban Freight Analytics examines the development and application of decision support tools for evaluating and implementing city logistics solutions, including IoT, ICT, and ITS. It provides a comprehensive study of modelling and evaluation approaches to urban freight transport, with case studies from Japan, the US, Europe, and Australia. It also considers future directions in urban freight analytics, such as hyperconnected city logistics based on the Physical Internet, digital twins, gamification, and emerging technologies.

Format: Hardback
Length: 170 pages
Publication date: 14 September 2023
Publisher: Taylor & Francis Ltd

Urban Freight Analytics delves into the intricate realm of developing and implementing decision support tools for assessing and implementing city logistics solutions. As emerging technologies like the Internet of Things (IoT), Information and Communication Technologies (ICT), and Intelligent Transport Systems (ITS) gain prominence, there is a pressing need for innovative analytical methods to effectively plan and operate these cutting-edge systems.

This comprehensive book offers a thorough exploration of modelling and evaluation approaches to urban freight transport. It includes case studies from Japan, the US, Europe, and Australia, showcasing the experiences of cities that have successfully implemented city logistics. These case studies highlight the use of analytical methods that address the complex challenges associated with adopting advanced technologies such as autonomous vehicles and drones in urban freight transport.

Furthermore, the book considers future directions in urban freight analytics, encompassing hyperconnected city logistics based on the Physical Internet (PI), digital twins, gamification, and emerging technologies like connected and autonomous vehicles in urban areas. An integrated modelling platform is described that encompasses multiple stakeholders or agents, including emerging organizations like PI companies and entities like crowd-shippers, as well as traditional stakeholders such as shippers, receivers, carriers, administrators, and residents.

This book serves as a valuable resource for researchers, practitioners, policymakers, and students interested in advancing the field of urban freight transport. It provides procedures for evaluating city logistics technologies and policy measures, offering an overview of advanced modelling approaches, including agent-based models and machine learning. It also highlights the essential features of optimisation and simulation models applied to city logistics, discussing how models incorporating more uncertainty and dynamic data can be used to improve sustainability and efficiency.

By leveraging the power of analytics, cities can unlock the full potential of urban freight transport, enhancing the livability, productivity, and sustainability of their urban environments.

Weight: 422g
Dimension: 161 x 242 x 19 (mm)
ISBN-13: 9781032199368