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Urban Freight Analytics examines the key concepts associated with the development and application of decision support tools for evaluating and implementing city logistics solutions. New analytical methods are required for effectively planning and operating emerging technologies including the Internet of Things (IoT), Information and Communication Technologies (ICT), and Intelligent Transport Systems (ITS). The book provides a comprehensive study of modelling and evaluation approaches to urban freight transport. It includes case studies from Japan, the US, Europe, and Australia that illustrate the experiences of cities that have already implemented city logistics, including analytical methods that address the complex issues associated with adopting advanced technologies such as autonomous vehicles and drones in urban freight transport. Also considered are future directions in urban freight analytics, including hyperconnected city logistics based on the Physical Internet (PI), digital twins, gamification, and emerging technologies such as connected and autonomous vehicles in urban areas. An integrated modelling platform is described that considers multiple stakeholders or agents, including emerging organisations such as PI companies and entities such as crowd-shippers as well as traditional stakeholders such as shippers, receivers, carriers, administrators, and residents. This book Presents procedures for evaluating city logistics technologies and policy measures Provides an overview of advanced modelling approaches, including agent-based model and machine learning Highlights the essential features of optimisation and simulation models applied to city logistics Discusses how models incorporating more uncertainty and dynamic data can be used to improve the sustainability and resilience of urban freight systems The book is ideal for graduate students in civil and environmental engineering and logistics management, urban planners, transport engineers, and logistics specialists.
Urban Freight Transportation Systems offers new insights into the complexities of today's urban freight transport system. It provides a much needed multidisciplinary perspective from researchers in not only transportation, but also engineering, business management, planning and the law. The book examines numerous critical issues, such as strategies for delivery, logistics and freight transport spatial patterns, urban policy assessment, innovative transportation technologies, urban hubs, and the role factories play in the urban freight transport system. The book offers a novel conceptual approach for addressing the problems of production, logistics and traffic in an urban context. As most of the world's population now live in cities, thus significantly increasing commercial traffic, there are numerous challenges for efficiently and sustainably delivering goods into cities. This book provides solutions and tactics to those challenges.
This title addresses the need to develop new freight transport models and scientific tools to provide sound solutions that consider the wide range of internal and external impacts. The international contributions push forward frontiers in freight transport modelling and analysis.
This book presents papers based on the presentations and discussions at the international workshop on Big Data Smart Transportation Analytics held July 16 and 17, 2016 at Tongji University in Shanghai and chaired by Professors Ukkusuri and Yang. The book is intended to explore a multidisciplinary perspective to big data science in urban transportation, motivated by three critical observations: The rapid advances in the observability of assets, platforms for matching supply and demand, thereby allowing sharing networks previously unimaginable. The nearly universal agreement that data from multiple sources, such as cell phones, social media, taxis and transit systems can allow an understanding of infrastructure systems that is critically important to both quality of life and successful economic competition at the global, national, regional, and local levels. There is presently a lack of unifying principles and methodologies that approach big data urban systems. The workshop brought together varied perspectives from engineering, computational scientists, state and central government, social scientists, physicists, and network science experts to develop a unifying set of research challenges and methodologies that are likely to impact infrastructure systems with a particular focus on transportation issues. The book deals with the emerging topic of data science for cities, a central topic in the last five years that is expected to become critical in academia, industry, and the government in the future. There is currently limited literature for researchers to know the opportunities and state of the art in this emerging area, so this book fills a gap by synthesizing the state of the art from various scholars and help identify new research directions for further study.
City distribution plays a key role in supporting urban lifestyles, helping to serve and retain industrial and trading activities, and contributing to the competitiveness of regional industry. This book aims to improve knowledge in this area by recognizing and evaluating the problems within the urban freight transport system.
Freight Transport Modelling is a unique new reference book that provides insight into the state-of-the-art of freight modelling. Focusing on models used to support public transport policy analysis, Freight Transport Modelling systematically introduces the latest freight transport modelling approaches and describes the main methods and techniques used to arrive at operational models. As freight transport has grown exponentially in recent decades, policymakers now need to include freight flows in quantitative evaluations of transport systems. Whereas early freight modelling practice was inspired by passenger transport models, by now it has developed its separate stream of methods and techniques inspired by disciplines such as economic geography and supply chain management. Besides summarizing the latest achievements in fundamental research, this book describes the state of practice and advises practitioners on how to cope with typical challenges such as limitations in data availability. - Uniquely focused book exploring the key issues and logistics of freight transport modelling - Highlights the latest approaches and describes the main methods and techniques used to arrive at operational models - Summarizes fundamental research into freight transport modeling, as well as current practices and advice for practitioners facing day-to-day challenges
Because it deals with sustainably supplying cities and reducing congestion and pollution related to goods transport in urban areas, city logistics is an important field in transportation sciences. These logistics systems need to be sustainable and reliable to ensure the continued flow of goods. Logistics and Transport Modeling in Urban Goods Movement is a pivotal reference source that provides vital research on the main approaches and techniques used in urban goods transport modelling while addressing planning and management issues. Highlighting topics such as urban logistics, vehicle routing, and greenhouse emissions, this book is ideally designed for civil/transport engineers, planners, transport economists, geographers, computer scientists, practitioners, professionals, researchers, and students seeking current research on urban goods modelling.
Approximately 80 per cent of European and American citizens live in an urban environment. Due to their large populations and extensive commercial establishments, urban areas require large quantities of goods and services for commercial and domestic use. This results in increasing levels of demand for freight transport services. Freight transport in towns and cities is a major contributor to environmental impacts, particularly to local air pollution and noise. Urban Logistics addresses public policy makers, freight transport companies and receivers of supplies, providing them with the information and guidance to affect change in the logistics of the city. Urban Logistics is written by an outstanding team of international editors combining their expertise and using their research from leading business schools in Sweden and the US. There are also valuable contributions from academics and industry experts from companies and universities from all over the world. The book includes clear examples of initiatives that work and business case developments, as well as toolkits for policymakers and managers who are devising new initiatives. There is an in-depth examination of different aspects of urban logistics, such as retail logistics for cities, urban food supply chains, services and the special logistics requirements involved, construction, waste management and e-commerce and home delivery. There is also a focus on networks and partnerships and an analysis of innovation as a new constant.
"The emerging technologies of Information and Communication Technologies, Internet of Things, artificial intelligence, autonomous vehicles, and robots and drones, plus collaboration among stakeholders, can be used with data to model, plan and evaluate an efficient and sustainable urban freight transport system. This can incorporate the Physical Internet, autonomous vehicles, delivery robots, and dynamic road pricing and can manage network disruption. With case studies from several global cities, this book forms a graduate textbook in transport and logistics, and a reference for urban planning and logistics management practitioners"--
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