Transportation Operations Management provides the analytical tools and industry-wide context necessary to understand and address the critical real-world problems in transportation operations and planning that shippers, carriers, and third-party logistics providers face every day.The book examines operational problems from all transportation modes—air, motor carrier, water vessel, pipeline, and rail—to show how these interact in the real world of today's carriers and shippers. The book also outlines and analyzes key issues such as designing efficient domestic and international transportation networks; choosing optimal locations within market spaces; designing infrastructure to manage network congestion; leveraging intermodalism for operational flexibility; leveraging techniques for costing, pricing, and revenue management; using tracking technology for decisionmaking; maintaining regulatory compliance in operations; and managing environmental stewardship.Paying particular attention to the influence of the logistical constraints of time, physical space, and location, the book reveals the key role of transportation in strategic and tactical decision-making. The book uses mathematical techniques such as the theory of capacity management, the microeconomics of costing and pricing, risk management, linear optimization, productivity measurement, queueing theory, and complex scheduling. The book also uses real-world problems with their actual marketplace constraints in technology, geography, and government regulations to provide an applied context to the techniques examined. - Applies the latest analytical techniques to address real-world situations domestically and internationally, from industry and government, demonstrating the interplay between business and government, and planning vs day-to-day operations - Includes case studies that demonstrate the opportunities and constraints regarding how workable solutions to an operations management problem can be structured - Includes learning aids such as chapter objectives, in-depth discussion of techniques, and keypoints made in prose, mathematically, and diagrammatically

Transportation systems analysis is a multidisciplinary field which draws on engineering, economics, operations research, political science, psychology, management, and other disciplines. The major text synthesizes from these fields an approach that is intellectually coherent and comprehensive. Numerous details are provided to indicate how major concepts can be applied in practice to particular modes and problems. But the major objective of this book is to provide the reader with a basic framework onto which many different areas of specialization can be added by later coursework and practical experience. Fundamentals of Transportation Systems Analysis identifies concepts that are truly fundamental to serious work in the planning, design, or management of transportation systems. It also emphasizes, through more detailed treatment, certain topics, such as transportation demand and performance and the processes of evaluation and choice, that are inadequately treated in the available literature. A unique feature of the book is its emphasis on multimodal solutions to transportation problems. The student is taught to view the transportation system as a unified whole and to evaluate it within the context of the overall social, economic, and political system of a given region. According to Professor Manheim, "The challenge of transportation systems analysis is to intervene, delicately and deliberately, in the complex fabric of a society to use transport effectively, in coordination with other public and private actions, to achieve the goals of that society."

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.

Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems (ITS), including the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. It presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies. All fundamentals/concepts presented in this book are explained in the context of ITS. Users will learn everything from the basics of different ITS data types and characteristics to how to evaluate alternative data analytics for different ITS applications. They will discover how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Data Analytics for Intelligent Transportation Systems will prepare an educated ITS workforce and tool builders to make the vision for safe, reliable, and environmentally sustainable intelligent transportation systems a reality. It serves as a primary or supplemental textbook for upper-level undergraduate and graduate ITS courses and a valuable reference for ITS practitioners. - Utilizes real ITS examples to facilitate a quicker grasp of materials presented - Contains contributors from both leading academic and commercial domains - Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications - Includes exercise problems in each chapter to help readers apply and master the learned fundamentals, concepts, and techniques - New to the second edition: Two new chapters on Quantum Computing in Data Analytics and Society and Environment in ITS Data Analytics

This book provides an overview of the key transportation management processes from a shipper’s perspective. It enables managers to gain quick insight in the added value of transportation as a strategic differentiator, its key drivers, and guidelines on how to use them in an effective and efficient decision-making process. It explains how to identify and eliminate waste using basic Lean tools and proven concepts. The reader is guided on how to start implementing the Lean methodology and best practices in the industry to realize significant savings. Companies such as Adidas and Amazon are using transportation to increase sales by delivering purchased products faster than the competition. These companies do not treat transportation as a cost center. They are not focusing on reducing transportation spending. They allow customers to buy any product that is available in any store or warehouse and have it delivered to their homes. By delivering faster than the competition, they increase sales. At the same time, they lower their total supply chain costs as faster deliveries lead to fewer returns. Reduction of returns means higher sales and lower transportation costs for returns. The result is higher profits while creating more value for the customer. Transportation is moving from a cost center towards a profit center. The traditional logistics service providers are perceived to not innovate fast enough. Top management must understand the transportation management basics and use it in their strategic decision-making. They should be involved in discussions on how to organize the transport management function in the best way and how to use it as a service differentiator. Transportation is more than the efficient movement of supplies, sub-assemblies and final products. In addition, it is more than the key performance indicators on the business-balanced scorecard. Transportation management professionals fail to catch top management’s attention due to the use of technical language. It is more difficult to understand transportation key performance indicators such as loading degree, net and gross pick-up and delivery reliability. It is easier to get top management attention when talking about lost sales due to stock-outs, lost tenders due to long delivery times, high inventory holding and scrap costs.

Logistics Transportation Systems compiles multiple topics on transportation logistics systems from both qualitative and quantitative perspectives, providing detailed examples of real-world logistics workflows. It explores the key concepts and problem-solving techniques required by researchers and logistics professionals to effectively manage the continued expansion of logistics transportation systems, which is expected to reach an estimated 25 billion tons in the United States alone by 2045. This book provides an ample understanding of logistics transportation systems, including basic concepts, in-depth modeling analysis, and network analysis for researchers and practitioners. In addition, it covers policy issues related to transportation logistics, such as security, rules and regulations, and emerging issues including reshoring. This book is an ideal guide for academic researchers and both undergraduate and graduate students in transportation modeling, supply chains, planning, and systems. It is also useful to transportation practitioners involved in planning, feasibility studies, consultation and policy for transportation systems, logistics, and infrastructure. - Provides real-world examples of logistics systems solutions for multiple transportation modes, including seaports, rail, barge, road, pipelines, and airports - Covers a wide range of business aspects, including customer service, cost, and decision analysis - Features key-term definitions, concept overviews, discussions, and analytical problem-solving