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Elsevier

Libros en Ciencias Sociales

  • Integrating Activity-Based Models with Mobile Phone Data

    Advances in Traffic Modeling and Multi-Agent Simulation
    • 1 Edición
    • Fei Yang + 2 más
    • Inglés
    Integrating Activity-Based Models with Mobile Phone Data: Advances in Traffic Modeling and Multi-Agent Simulation analyzes the path from the observation to prediction using traffic big data. The book explores the refined identification method of individual travel chains in the diversified and complex urban travel environment, reconstructing the structure and algorithms of Activity-based Models or ABM based on the characteristics identified by mobile phone signaling data. Final sections develop an activity decision-making and microscopic behavior simulation platform. Users will find this to be a resource that supports urban and regional traffic management optimization and traffic planning using traffic big data.

  • Securing Electric Mobility

    • 1 Edición
    • Aparna Kumari
    • Inglés
    Electric vehicles (EVs) continue to capture a growing share of the smart car market across the globe. Like most new technologies, e-mobility comes with a learning curve. Securing Electric Mobility provides readers with in-demand knowledge relating to the dynamically evolving intersection between information & communication technology and vehicle engineering.The edited volume offers in-depth understanding of the distinct features of EV cybersecurity. It opens with a description of the fundamental elements of EVs, their interconnectedness, their cyber-physical characteristics and resulting vulnerabilities. It then dissects the digital threat landscape to increase awareness of all possible risks posed by cyberattacks on electric vehicles, and from there it systematically covers data management, regulatory frameworks, existing solutions and emerging cybersecurity protocols and methodologies that are enhanced by blockchain, artificial intelligence, Internet-of-Things integration, machine learning, and real-time monitoring systems. The value of this thorough overview is strengthened further through the inclusion of real-word case studies, which prove the effectiveness of the adopted approaches to safeguard vehicle control systems, owners’ personal data, and the broader cyber-physical network and related equipment.This book proves to be an indispensable, state-of-the-art resource for academia and industry alike as it encourages further transformative, interdisciplinary investigations into the security-assurance complexities that guide EVs’ resilience evolution.

  • Rethinking Rural

    Data-Driven Approaches for Sustainable Development
    • 1 Edición
    • Luca Salvati
    • Inglés
    Rethinking Rural: Data-Driven Approaches for Sustainable Development offers a comprehensive, interdisciplinary exploration of sustainable rural development through a quantitative lens. Drawing on official statistics, spatial analysis, and refined indicators, this edited volume brings together leading scholars from ecology, economics, and planning to rethink the environmental-econom... nexus shaping rural territories. With a focus on Europe and the Mediterranean, but applicable globally, the book emphasizes continuous, spatially explicit monitoring of socioecological and socioeconomic complexities to inform effective, place-specific policies that enhance sustainability and resilience.Structure... in three parts, the book first presents integrated perspectives on rural system evolution, including climate change impacts, land use, and socioeconomic drivers across diverse contexts such as Mediterranean landscapes and Colombia’s deforestation. The second part details traditional and advanced tools for monitoring rural environments, from territorial indicators to wildfire and habitat assessment. The final section addresses planning and policy challenges, evaluating natural disaster management, resilience strategies, environmental degradation costs, and socio-demographic influences on tourism insurance.

  • Autonomous Driving and Mixed Traffic Dynamics

    Modeling, Simulation, and Control
    • 1 Edición
    • Michail Makridis + 1 más
    • Inglés
    Autonomous Driving and Mixed Traffic Dynamics: Modeling, Simulation, and Control provides an introduction to autonomous vehicles (AV) in road transport systems, along with discussions on the critical similarities and differences with human drivers. Focusing on key concepts in traffic dynamics and AI-based modeling, the book also offers a comprehensive discussion of the unique dynamics introduced by AVs and their impacts on congestion, safety, energy, and their role in sustainable future intelligent transportation systems. Sections delve into traditional driving behaviors, examining the basics of car-following, driver characteristics, lateral movement, and how well AI models generalize these behaviors.Further sections covers shifts to autonomous driving systems, analyzing their operational principles and providing comparative evidence with human drivers. Assessments on the performance of traditional car-following models against artificial intelligence developments that highlight strengths and weaknesses for each approach are also included. Final sections integrate human drivers and AVs into broader traffic flow theories, presenting findings on how autonomous driving impacts traffic patterns, look at the role of AI and modeling, explore the pros and cons of various methods and data sources, and discuss real-world traffic management applications, combining AI and traditional models for traffic estimation, control, and ensuring fair, disruption-resilient outcomes.

  • Smart Cities of AI Robots and Autonomous Vehicles

    The Vision for 2030
    • 1 Edición
    • Paras Chawla + 2 más
    • Inglés
    Smart Cities of AI Robots and Autonomous Vehicles: The Vision for 2030 explores the transformative potential and challenges of integrating AI-powered robots and autonomous vehicles in urban landscapes, envisioning a futuristic smart city landscape by 2030. It examines how artificial intelligence (AI) robots and self-driving cars will transform daily life, healthcare, education, industry, agriculture, and transportation.

  • Hospital and Healthcare Security

    • 7 Edición
    • Tony W. York
    • Inglés
    Hospital and Healthcare Security, Seventh Edition reflects the current state of healthcare security, particularly in data security and privacy, patient-generated violence, new technologies, and regulatory changes. The book explains the basics and higher expertise concerns, such as the roles of design, emergency management, and policy. Conveying a wide spectrum of topics in an easy-to-comprehend format, it provides a thorough understanding of how the modern healthcare security program should be structured, resourced, and integrated around the principles of people, processes, and technology. This industry-leading resource includes best practices, security master planning, and how to layer in protection philosophies in policies and procedures. Due to rapid changes in violence in healthcare, regulatory requirements, litigation, accreditation standards, advancements in technology, and new healthcare security issues and topics, the new edition contains approximately 25-30% new and updated data and corresponding examples. It is deemed by healthcare executives, accrediting agencies, and industry associations to set the standard of care for healthcare security systems and programs.

  • Mobility Patterns, Big Data and Transport Analytics

    Tools and Applications for Modeling
    • 2 Edición
    • Constantinos Antoniou + 2 más
    • Inglés
    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.

  • New Transportation Modes and ‘Old’ Transportation Modes that are in the Process of Renewing Themselves

    • 1 Edición
    • Volumen 17
    • Inglés
    New Transportation Modes and ‘Old’ Transportation Modes that are in the Process of Renewing Themselves, Volume 17 highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Topics in this new release include The environmental impact of high-speed rail, Past, Present and Future States of Research on Autonomous Electric Vehicles, Urban Air mobility, Micromobility, Mobility as a Service, Aviation, Sustainable city logistics, Autonomous vehicles, Light Rail, Bus Rapid Transit, and more.

  • Spatial Analysis for Complex Territorial Systems

    Geo-information Technologies and European Official Statistics
    • 1 Edición
    • Luca Salvati
    • Inglés
    Spatial Analysis for Complex Territorial Systems: Geo-information Technologies and European Official Statistics offers a multidisciplinary exploration of spatial analysis, geo-information technologies, and official statistics, focusing on their applications in environmental, economic, and planning challenges in Europe and the Mediterranean. Comprising 16 insightful chapters authored by leading scholars from Southern and Eastern Europe, Ireland, and the United States, the book delves into the complexities of socio-ecological monitoring through data integration and refined statistical indicators. Key topics include climate monitoring, land degradation, settlement patterns, and disaster resilience, providing a comprehensive understanding of local contexts and policy implications.The book begins with contributions from a traditional ecological, agronomic, and environmental vision, then continues with a set of studies with stricter socio-demographic and economic focus. It then discusses how other quantitative approaches (e.g., based on big data and primary surveys) may clarify the role of policies and planning, addressing sustainable development goals in the ‘kaleidoscopic’ European landscapes. Conclusions confirm the urgent need of integrating the vast potential of geo-information techniques, together with spatial analysis and official statistics, into more flexible sustainable development strategies that reflect local conditions and spatially explicit background contexts.

  • Highway Safety Analytics and Modeling

    • 2 Edición
    • Dominique Lord + 2 más
    • Inglés
    Highway Safety Analytics and Modeling, Second Edition comprehensively covers the key elements for effective transportation engineering and policy decisions based on highway safety data analysis in a single reference. It includes all aspects of the decision-making process, from collecting and assembling data to developing models and evaluating results. It discusses the challenges of working with crash and naturalistic data, identifies problems, and proposes well-researched methods to solve them. It examines the nuances associated with safety data analysis and shows how to best use the information to develop countermeasures, policies, and programs to reduce the frequency and severity of traffic crashes.This thoroughly updated second edition updates the material contained in the book based on the latest advancements in highway safety research as well as feedback from readers. It includes entirely new sections on topics such as digital twins as a source of data, model validation, extreme value models, temporal instability, joint crash frequency and severity modeling, sample size, quasi-induced exposure method, autonomous vehicle safety estimate, and more.This book serves as a valuable reference for students, researchers, and practitioners alike. It provides more examples and exercises to help in using the book for courses, and it continues to complement the Highway Safety Manual (HSM) published by the American Association of State Highway and Transportation Officials (AAHSTO), thus helping in the training of engineers and practitioners to better understand the concepts and methods outlined in the forthcoming HSM.

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