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Books in Social sciences

The Social Sciences collection forms a definitive resource for those entering, researching, or teaching in any of the many disciplines making up this interdisciplinary area of study. Written by experts and researchers from both Academic and Commercial domains, titles offer global scope and perspectives.

Key subject areas include: Library and Information Science; Transportation; Urban Studies; Geography, Planning, and Development; Security; Emergency Management.

  • Measuring Sustainable Development Goals Performance

    • 1st Edition
    • Sten Thore + 1 more
    • English
    Measuring Sustainable Development Goals Performance provides a quantitative and analytical framework for evaluating social, economic, and environmental policies aiming at the UN sustainable development goals (SDGs). Continuing their earlier work on multidimensional analysis, the authors demonstrate how nations can be ranked in terms of their performance in meeting a given set of SDGs, providing numerical calculation of SDGs deficit. Their calculations show that even before the arrival of the COVID-19 virus, there existed in several large Western nations undetected pockets of SDG deficits, such as in the care for the elderly, personal safety, and hygiene. Extending the calculations to cover COVID-19 data for 2020, it turns out that the same deficit nations also suffered excess death rates caused by the virus.This book offers a balanced and holistic paradigm for evaluating progress of the SDGs, assisting the convergence of national and international efforts toward economic development, social progress, and environmental protection.

  • The Air Transportation Industry

    Economic Conflict and Competition
    • 1st Edition
    • Rosario Macario + 1 more
    • English
    The aviation sector consists of various actors such as airlines, ground handling companies, and others all with conflicting priorities. In order to understand how these actors position themselves in an increasingly competitive market, The Air Transportation Industry: Economic Conflict and Competition analyzes all the market segments in detail, examining such issues as which industrial economic structure drives decisions, the main economic problems, the consequences for negotiations between different actors, impacts on the global aviation market, and much more. This book covers the entire aviation sector including strategies, regulation, resilience, privatization, airport slot management, and more. It examines how economic and strategic struggles underlie the current market structure, both for aviation as a whole and for the constituent actors as carriers, authorities, and handlers. It examines the ways market and nonmarket approaches impact the competitiveness of the air transport industry, offering a complete mapping of the economic actions between actors of the air transport industry. This volume will help readers gain insight into the possible strategic choices and the mutual competitive strength within the future aviation market.

  • Research Data Management and Data Literacies

    • 1st Edition
    • Koltay Tibor
    • English
    Research Data Management and Data Literacies help researchers familiarize themselves with RDM, and with the services increasingly offered by libraries. This new volume looks at data-intensive science, or ‘Science 2.0’ as it is sometimes termed in commentary, from a number of perspectives, including the tasks academic libraries need to fulfil, new services that will come online in the near future, data literacy and its relation to other literacies, research support and the need to connect researchers across the academy, and other key issues, such as ‘data deluge,’ the importance of citations, metadata and data repositories. This book presents a solid resource that contextualizes RDM, including good theory and practice for researchers and professionals who find themselves tasked with managing research data.

  • Port Planning and Management Simulation

    • 1st Edition
    • Wenyuan Wang + 1 more
    • English
    Port Planning and Management Simulation examines port planning simulation applications, showing how they supports better port decision-making. Using a clear organizational format based on actual port system structure and operation processes, the book provides practical and theoretical insights on port planning and management. The book describes the water, land, collecting and distributing components of the port system, focusing on management, development, and risk mitigation. It examines the key challenges based on discrete system simulation theory that is less affected by local or national regulations. It compares various simulation scenarios for optimal port operational strategy. It quantifies port emissions, analyzes the impact of different reduction strategies, and presents operational strategies for green port planning developmentmand management. Port Planning and Management Simulation provides guidance for carrying out deep analysis in a complex and dynamic system, providing an integrated solution framework based on simulation techniques for improving efficiency and cost savings of the port system.

  • Psychopathy and Criminal Behavior

    Current Trends and Challenges
    • 1st Edition
    • Paulo Barbosa Marques + 2 more
    • English
    Psychopathy and Criminal Behavior: Current Trends and Challenges fills a gap in the market by covering new topics and angles not addressed in other literature. The book's authors approach the interaction of psychopathy with different types of crime, reflecting on comorbidity with other disorders, symptoms and emotional function. In addition to examining questions of prevention and treatment, they present new developments with solid theory and scientific evidence, also addressing forensic realities. This is a must-have guide for practitioners, students or anyone interested in psychopathy, criminal behavior and the various avenues of treatment.

  • Road Traffic Modeling and Management

    Using Statistical Monitoring and Deep Learning
    • 1st Edition
    • Fouzi Harrou + 3 more
    • English
    Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing road traffic monitoring and management. The book examines commonly used traffic analysis methodologies as well the emerging methods that use deep learning methods. Other sections discuss how to understand statistical models and machine learning algorithms and how to apply them to traffic modeling, estimation, forecasting and traffic congestion monitoring. Providing both a theoretical framework along with practical technical solutions, this book is ideal for researchers and practitioners who want to improve the performance of intelligent transportation systems.

  • Big Data and Mobility as a Service

    • 1st Edition
    • Haoran Zhang + 2 more
    • English
    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.

  • Driving Science Information Discovery in the Digital Age

    • 1st Edition
    • Svetla Baykoucheva
    • English
    New digital technologies have transformed how scientific information is created, disseminated—and discovered. The emergence of new forms of scientific publishing based on open science and open access have caused a major shift in scientific communication and a restructuring of the flow of information. Specialized indexing services and search engines are trying to get into information seekers’ minds to understand what users are actually looking for when typing all these keywords or drawing chemical structures. Using artificial intelligence (AI), machine learning, and semantic indexing, these "discovery agents" are trying to anticipate users’ information needs. In this highly competitive environment, authors should not sit and rely only on publishers, search engines, and indexing services to make their works visible. They need to communicate about their research and reach out to a larger audience. Driving Science Information Discovery in the Digital Age looks through the "eyes" of the main "players" in this "game" and examines the discovery of scientific information from three different, but intertwined, perspectives: Discovering, managing, and using information (Information seeker perspective) Publishing, disseminating, and making information discoverable (Publisher perspective) Creating, spreading, and promoting information (Author perspective).

  • Empowering Underrepresented Students in Science

    STEM Students Speak
    • 1st Edition
    • Sonji Johnson-Anderson + 2 more
    • English
    Empowering Underrepresented Students in Science: STEM Students Speak chronicles the best practices of a STEM retention program for underrepresented minority students (URM) at a public university. Written mostly as an engaging series of vignettes, this story invites its audience to examine the “underbelly” of this successful program. It reveals to readers what lies at the heart of creating and sustaining a STEM retention program that is as inviting as it is vital. The program’s practice of reflection helps to build students’ self-efficacy and self-understanding. This book addresses the problem of merely throwing resources at a program to have it only achieve mild success. Most STEM retention/support programs offer a litany of “things” they think are necessary for students, especially traditionally underserved students, to survive in STEM. We contend that our program goes beyond merely throwing money at a need, to critically assessing the need through the lens of inclusive practices. Our program attempts to engage with the whole selves of the students we serve.

  • Implementing Data-Driven Strategies in Smart Cities

    A Roadmap for Urban Transformation
    • 1st Edition
    • Didier Grimaldi + 1 more
    • English
    Implementing Data-Driven Strategies in Smart Cities is a guidebook and roadmap for practitioners seeking to operationalize data-driven urban interventions. The book opens by exploring the revolution that big data, data science, and the Internet of Things are making feasible for the city. It explores alternate topologies, typologies, and approaches to operationalize data science in cities, drawn from global examples including top-down, bottom-up, greenfield, brownfield, issue-based, and data-driven. It channels and expands on the classic data science model for data-driven urban interventions – data capture, data quality, cleansing and curation, data analysis, visualization and modeling, and data governance, privacy, and confidentiality. Throughout, illustrative case studies demonstrate successes realized in such diverse cities as Barcelona, Cologne, Manila, Miami, New York, Nancy, Nice, São Paulo, Seoul, Singapore, Stockholm, and Zurich. Given the heavy emphasis on global case studies, this work is particularly suitable for any urban manager, policymaker, or practitioner responsible for delivering technological services for the public sector from sectors as diverse as energy, transportation, pollution, and waste management.

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