Blockchain and Supply Chain Management, Second Edition combines discussions of blockchain and supply chains, linking technologies such as artificial intelligence, Internet of Things, satellite imagery, and machine vision. The book examines blockchain’s basic concepts, relevant theories, and its roles in meeting key supply chain objectives. The book addresses problems related to inefficiency, opacity, and fraud, helping the digitization process, simplifying the value creation process, and facilitating collaboration. The book is balanced between blockchain and supply chain application and theory, covering the latest technological, organizational and regulatory developments in blockchain from a supply chain perspective.The book discusses the opportunities, barriers, and enablers of blockchain in supply chain policy, along with legal and ethical implications. The second edition has been thoroughly updated with a new chapter on the luxury good industry supply chains, as well as updated data and statistics; new examples, case studies, and In-Focus boxes; and added regularly updates throughout the book.As supply chain management faces massive disruption with the dynamic changes in global trade, the impact of Covid-19, and technological innovation, scholars, students, and researchers, as well as practitioners such as analysts, consultants, executives, engineers, and managers, will find this a valuable resource for addressing problems related to inefficiency, opacity, and fraud, helping the digitization process, simplifying the value creation process, and facilitating collaboration.
Planning and Operation of Container Terminals provides methodologies to optimize the design of container handling systems. The book offers various optimization models and details how to apply the models. In addition, it captures key points of academic research to provide a thorough and up-to-date guide on this rapidly changing field. Sections cover various aspects of terminal operation and propose key issues for their optimization. In addition, the relationships among various operational problems are described, along with tactics for the efficient utilization of resources. Students and professionals alike will find this a useful resource for getting up-to-speed in this dynamic field. The efficiency of a container terminal highly depends on the design of handling systems and operation methods of the terminal. In recent decades, the development of ports has become large-scale, modern and automatic, so it is necessary to learn about the design and operation of modern ports quickly and to understand the research hotspots, research frontiers and research status in the current field, as well as the use and innovation of research methods.
Geographic Information Systems for Intermodal Transportation: Methods, Models, Applications examines the basic concepts and applications of Geographic Information Systems for Transportation. The book discusses the unique characteristics of each transportation mode-- highway, railway, waterway and airway—as well as the combined intermodal transportation network. The book shows how GIS generates vehicle routes and shorted paths, develops transportation demand models, analyzes spatial data, and how three-dimensional modelling is applied to the intermodal transportation.
Big Data and Mobility as a Service explores MaaS platforms that can be adaptable to the ever-evolving mobility environment. It looks at multi-mode urban crowd data to assess urban mobility characteristics, their shared transportation potential, and their performance conditions and constraints. The book analyzes the roles of multimodality, travel behavior, urban mobility dynamics and participation. Combined with insights on using big data to analyze market and policy decisions, this book is an essential tool for urban transportation management researchers and practitioners.
The Role of Infrastructure for a Safe Transition to Automated Driving contextualizes the latest vehicle and road automation research and technology, focusing on the future role of road infrastructures. The book analyzes the problems an uncontrolled transition will pose and examines ways forward, covering risk, safety, and the influence of human factors in automated vehicles. Automated transport researchers, traffic engineers, and transport and city planners will find the book to be a great resource for addressing the complexity of the period during which both human-driven and automated cars will coexist. This integrated vision of different approaches to vehicle automation will help move the technology forward in a thought-provoking manner.
Disruption in Transportation, as some experts say, is here; so is this book at this critical inflection point in the history of transportation planning, engineering, and operations. With a focus on improving safety and maximizing available systems to accommodate all modes of travel, this work brings together an array of topics and themes on transportation technologies under the banner of Connected and Automated Vehicles (CAV). The emerging technology implementing entities, industry leaders, original equipment manufacturers, standard development organizations, researchers, and others are singularly focused on a global multilogue to promote Safety, Mobility, Environment, and Economic Development (SMEEd). These discussions are technologically interdisciplinary and procedurally cross-functional, hence the need for CAV: Developing Policies, Designing Programs, and Deploying Projects. This book is aimed at the policy-maker who wants to know the high-level detail; the planner who chooses to pursue the most efficient path to implementation; the professional engineer who needs to design a sustainable system; the practitioner who considers deployable frameworks; the project manager who oversees the system deployment; the private sector consultant who develops and delivers a CAV program; and the researcher who evaluates the project benefits and documents lessons learned. This book makes a business case for implementing CAV technologies to achieve SMEEd goals; presents the possibilities and challenges to deploying emerging technologies; identifies the institutional roles and responsibilities; and develops a policy framework for mainstreaming CAV.
Autonomous Vehicles: Technologies, Regulations, and Societal Impacts explores both the autonomous driving concepts and the key hardware and software enablers, Artificial intelligence tools, needed infrastructure, communication protocols, and interaction with non-autonomous vehicles. It analyses the impacts of autonomous driving using a scenario-based approach to quantify the effects on the overall economy and affected sectors. The book assess from a qualitative and quantitative approach, the future of autonomous driving, and the main drivers, challenges, and barriers. The book investigates whether individuals are ready to use advanced automated driving vehicles technology, and to what extent we as a society are prepared to accept highly automated vehicles on the road. Building on the technologies, opportunities, strengths, threats, and weaknesses, Autonomous Vehicles: Technologies, Regulations, and Societal Impacts discusses the needed frameworks for automated vehicles to move inside and around cities. The book concludes with a discussion on what in applications comes next, outlining the future research needs.
The widespread adoption of smartphones, ridesharing and carsharing have disrupted the transport sector. In cities around the world, new mobility services are both welcomed and challenged by regulators and incumbent operators. Mobility as a Service (MaaS), an ecosystem designed to deliver collaborative and connected mobility services in a society increasingly embracing a sharing culture, is at the center of this disruption. Understanding Mobility as a Service (MaaS): Past, Present and Future examines such topics as: How likely MaaS will be implemented in one digital platform app Whether MaaS will look the same in all countries The role multi-modal contract brokers play Mobility regulations and pricing models MaaS trials, their impacts and consequences Written by the leading thinkers in the field for researchers, practitioners, and policy makers, Understanding Mobility as a Service (MaaS): Past, Present and Future serves as a single source on all the current and evolving developments, debates, and challenges.
The Future of Intelligent Transport Systems considers ITS from three perspectives: users, business models and regulation/policy. Topics cover in-vehicle applications, such as autonomous driving, vehicle-to-vehicle/vehicle-to-infrastructure communication, and related applications, such as personalized mobility. The book also examines ITS technology enablers, such as sensing technologies, wireless communication, computational technology, user behavior as part of the transportation chain, financial models that influence ITS, regulations, policies and standards affecting ITS, and the future of ITS applications. Users will find a holistic approach to the most recent technological advances and the future spectrum of mobility.
Autonomous Vehicles and Future Mobility presents novel methods for examining the long-term effects on individuals, society, and on the environment for a wide range of forthcoming transport scenarios, such as self-driving vehicles, workplace mobility plans, demand responsive transport analysis, mobility as a service, multi-source transport data provision, and door-to-door mobility. With the development and realization of new mobility options comes change in long-term travel behavior and transport policy. This book addresses these impacts, considering such key areas as the attitude of users towards new services, the consequences of introducing new mobility forms, the impacts of changing work related trips, and more. By examining and contextualizing innovative transport solutions in this rapidly evolving field, the book provides insights into the current implementation of these potentially sustainable solutions. It will serve as a resource of general guidelines and best practices for researchers, professionals and policymakers.