Urban Freight Transportation Management and Planning: Practice and Theory provides the reader with a solid understanding of the role of urban freight activity on metropolitan economies, the externalities produced by freight activity, and effective public sector initiatives to mitigate or eliminate altogether negative externalities. This book addresses key topics related to urban freight and solutions for key challenges from a practitioner perspective.The authors systematically and pedagogically provide key and easy-to-digest information on a range of topics, including local economies and the role of supply chains and freight activity; technical procedures to estimate freight generation and freight trip generation; technical details about the wide range of initiatives that could address freight issues; and effective urban freight management and planning process (including both transportation and land-use). They also discuss simplified techniques to model and understand freight activity to support decision-making, and they incorporate key elements of sustainability and technology in different sections to provide an up-to-date view on how these relevant topics affect and are affected by urban freight.This book is a valuable resource for practitioners as well as researchers and graduate students interested in gaining a thorough understanding of the realities of urban freight systems, supply chains, and urban freight management, policy, and planning.
Mobility Patterns, Big Data and Transport Analytics: Tools and Applications for Modeling, Second Edition provides a guide to the new analytical framework and its relation to big data, focusing on capturing, predicting, visualizing, and controlling mobility patterns—a key aspect of transportation modeling. The book features prominent international experts who provide overviews on new analytical frameworks, applications, and concepts in mobility analysis and transportation systems. Fields covered are evolving rapidly, and this new edition updates existing material and provides new chapters that reflect recent developments in the field (such as the emergence of active, transfer and reinforcement learning).Users will find a detailed, mobility ‘structural’ analysis and a look at the extensive behavioral characteristics of transport, observability requirements, limitations for realistic transportation applications, and transportation systems analysis that are related to complex processes and phenomena. This book bridges the gap between big data, data science, and transportation systems analysis with a study of big data’s impact on mobility and an introduction to the tools necessary to apply new techniques.
Digital Transformation in Retail Supply Chain Management for Logistics 5.0 explains how these technologies are reshaping retail supply chain management. The book elucidates on the digital tools and strategies organizations can employ to optimize their retail supply chain management, minimize costs, enhance customer satisfaction, and achieve sustainability objectives through industry 5.0-enabled technologies. It innovatively blends the details of recent advancements across retail supply chains and supply chain-related digital transformations. Its cutting-edge perspective makes it an invaluable asset for industry professionals, policymakers, business owners, managers, researchers, practitioners, academicians, instructors, and students in retail, logistics supply chain management, digital business, and innovation.The book explores the nuances of the Supply Network 5.0, discussing the synergy between humans and machines, especially in the context of robotic process automation systems and artificial intelligence tools in the “new normal” of retail supply chain management. In addition, it specifically addresses textile products, FMCG, online products, construction, food and beverages, the shoe industry, SMEs, and other manufacturing sectors. Other sections delves into the often-overlooked environmental sustainability ramifications of the Fifth Industrial Revolution.
Reliable Decision-Making for Sustainable Transportation explores decision-making methods that incorporate expert and decision-maker opinions for improved reliability. The book examines fuzzy sets that capture ambiguity and enable a more comprehensive analysis of stakeholder perspectives, focusing on transportation case studies to demonstrate techniques for weighing criteria, ranking alternatives, and selecting optimal and reliable decisions. It seeks to advance transportation planning, traffic engineering, road safety, and sustainability by integrating state-of-the-art decision support systems that leverage AI and multiple stakeholder viewpoints.This approach will benefit researchers and professionals across transportation, decision sciences, supply chain management, and operations looking for innovative ways to model uncertainty and decision-maker reliability and providing methodologies and frameworks for more robust group decisions.
Net-Zero Transit: The Future of Eco-Friendly Transportation thoroughly examines the possible future of environmentally friendly transportation, presenting creative approaches and tactics to attain a transit sector with no net emissions. The book explores the convergence of technology, politics, and consumer behavior to provide a comprehensive perspective on achieving environmentally friendly transportation worldwide. The authors illustrate the practicality and advantages of adopting environmentally friendly transportation systems through the examination of real-life examples and the analysis of data.The authors offer practical assistance for establishing sustainable practices in the transit sector by emphasizing successful efforts and innovative solutions. In addition, they provide valuable perspectives on possible obstacles and hurdles that may occur throughout the shift towards achieving net-zero emissions, as well as suggestions for effectively addressing and surmounting them. It uses theoretical analysis and case studies to explore the benefits and challenges of transitioning to a zero-net-carbon transportation system. The economic, social, and environmental impacts of transitioning to net-zero transit are discussed, including the role of government policies, public-private partnerships, and community engagement. The analytical framework of this book encompasses several scenarios, such as the implementation of carbon policy, carbon pricing, carbon offset programs, climate-conscious car-flight-marine pooling, climate-conscious car-flight-marine green gridlock, pedal-walking power progress, and future-proof transportation. It employs real historical datasets from different countries and regions across the globe to forecast future emissions from various transportation modes using a range of machine learning techniques.This book is an invaluable resource for legislators, industry experts, and individuals seeking to promote environmentally friendly transportation solutions and contribute positively to the environment. Its detailed analysis offers actionable insights to policymakers and stakeholders in the transportation industry, enabling them to make well-informed decisions regarding measures to reduce emissions.
Intelligent Urban Mobility: Decision Support Systems for Sustainable Transportation explores the role of technology in enabling greener, more accessible transportation in cities worldwide. This book provides insights into leveraging decision support systems to drive positive change, focusing on applied soft computing techniques, artificial intelligence, and fuzzy systems algorithms to help researchers and professionals seeking to mitigate congestion and emissions through sustainable mobility initiatives. Bridging theory and real-world practice, this book provides information on future studies to drive progress in redesigning city transportation to reduce environmental impact and carbon emissions, highlighting innovative models and frameworks for the analysis of mobility options and planning sustainable transport systems. Researchers, graduate students, and professionals in transportation, urban planning, civil engineering, and decision sciences interested in advancing sustainable urban mobility will find this to be a welcome reference offering technical guidance and expert perspectives on the application of decision support systems to evaluate and optimize planning for sustainable transit options.
Human Factors in Traffic Safety for Highway and Traffic Engineers provides human factors principles and findings to allow nonexperts to consider the road user’s capabilities and limitations more effectively into the practice of design, operations, and safety. It provides data and insights on the needs, capabilities, and limitations of road users, including perception and effects of visual demands, cognition, and influence of expectations on driving behavior. It bridges the gap between human factors research and practical application, presenting complex psychological insights in an accessible manner.This book begins with Part 1 explaining the significance of the traffic safety problem and giving an overview of the importance of human factors in highway design and traffic engineering. Part 2 focuses on driver information perception and processing, including perception of depth and speed, driver’s visual search, how road users search for information, and how mental and information load affects drivers’ performance. Part 3 provides results of investigations of traffic crash causation and reviews major driver errors. Part 4 then describes key principles of road users’ considerations during highway design and traffic operation. Finally, Part 5 focuses on safety analysis and assessment and describes in detail the existing methods to evaluate human factors during safety assessments.This is a valuable resource for professionals in highway and traffic engineering, researchers, policymakers, urban planners, and students to understand how human factors contribute to traffic incidents and how to mitigate these through design and operational strategies.
Technological Innovations and Industry 5.0: A Supply Chain Perspective provides a complete review of Industry 5.0, its guiding principles, and its possible effects on supply chains. Examining the difficulties and possibilities presented by the incorporation of cutting-edge technologies into supply chain management, it guides the reader through decision making to application.Robotics, artificial intelligence, the Internet of Things, and data analytics are increasingly changing how supply chains operate. This book presents the core ideas and potential impacts on, and risks to, supply chain structure. It includes analysis of the latest research as well as providing a sound understanding of relevant techniques and modeling for real-world advances. Evaluation approaches of decision support frameworks for circularity, sustainability, and supply chain performance are also included.This book is an invaluable resource for anyone seeking alternative solutions to address supply chain issues and meet sustainability and customer demands by leveraging advancements in technology.
People and businesses rely on transportation networks every day, but what happens when critical assets fail unexpectedly or pollute our environment? Smart Infrastructure Management provides an interdisciplinary exploration of this intricate and dynamic landscape, enriching the theoretical and practical understanding of state-of-the-art technologies that can productively support various stakeholders in the decision-making process throughout the entire lifecycle of infrastructure projects.The volume examines the evolutionary trajectory, inherent challenges, and pivotal methodologies of modern infrastructure management, with a narrative that spans several domains to coordinate a fully integrated approach. Key topics include data collection and sensors, spatial modeling and simulation tools, asset management, preventative or predictive maintenance measures, computational techniques, cybersecurity, and decision support systems. The transformative impact of smart cities is also explored, emphasizing their role in enhancing infrastructure capabilities.With real-world case studies systematically featured to illustrate successful implementations and valuable lessons learned, this investigation appeals not only to researchers and students but also to professionals across diverse fields, ensuring that effective strategies are integrated into industry practices, which are essential for improving infrastructure capabilities in line with society’s ever-changing needs.
Handbook on New Paradigms in Smart Charging for E-Mobility: Global Trends, Policies and Practices provides a complete package for understanding and developing smart chargers for e-mobility applications. It discusses various concepts required for developing charging infrastructure and usage of different kinds of storage technologies, power electronics converters, controllers, communication requirements, grid infrastructure, sustainable technologies, policy frameworks, and all other related crucial aspects of E-mobility.Each part of the book covers a subdomain of e-mobility, beginning with an introductory chapter reviewing existing literature; the subsequent chapters are arranged to each follow the previous one. Other available books focus on specific technical subdomains of e-mobility, but none provides the wider outlook to meet the requirements of all audiences. This book uniquely brings together topics that are not otherwise easily accessible or available to these audiences.This book will be beneficial for engineers, scientists, and researchers, providing them with a comprehensive standard benchmark work to explore the evolving aspects of charging infrastructure for E-mobility. Further, it will also help policymakers, practitioners and government entities to formulate policies for successful implementations of E-motility for their masses. The techno-socio-economic focus will serve as standard literature for all.