Skip to main content
View Cart

Books in Social sciences and humanities

BooksJournals

  • Smart Urban Mobility

    Transport Planning in the Age of Big Data and Digital Twins
    • 1st Edition
    • Ivana Cavar Semanjski
    • English
    Smart Urban Mobility: Transport Planning in the Age of Big Data and Digital Twins explores the data-driven paradigm shift in urban mobility planning and examines how well-established practices and strong data analytics efforts can be better aligned to fit transport planning practices and "smart" mobility management needs. The book provides a comprehensive survey of the major big data and technology resources derived from smart cities research which are collectively poised to transform urban mobility. Chapters highlight the important aspects of each data source affecting applicability, along with the outcomes of smart mobility measures and campaigns.Transport planners, urban policymakers, public administrators, city managers, data scientists, and consulting companies managing smart city interventions and data-driven urban transformation projects will gain a better understanding of this up-and-coming research from this book’s detailed overview and numerous practical examples and best practices for operational deployment.

  • Making a Collection Count

    A Holistic Approach to Library Collection Management
    • 3rd Edition
    • Holly Hibner + 1 more
    • English
    Making a Collection Count, A Holistic Approach to Library Collection Management, Third Edition is unique in its focus on collection quality, including topics on making the most of a library collection budget, performing physical inventory, and gathering/using data and statistics about collection use. Beyond collection development, this title looks at the entire lifecycle of the collection and those with responsibilities at each step.

  • Handbook of Mobility Data Mining, Volume 2

    Mobility Analytics and Prediction
    • 1st Edition
    • Haoran Zhang
    • English
    Handbook of Mobility Data Mining, Volume Two: Mobility Analytics and Prediction introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book introduces how to design MDM platforms that adapt to the evolving mobility environment and new types of transportation and users. This helpful guide provides a basis for how to simulate and predict mobility data. After an introductory theory chapter, the book then covers crucial topics such as long-term mobility pattern analytics, mobility data generators, user information inference, Grid-based population density prediction, and more. The book concludes with a chapter on graph-based mobility data analytics. The information in this work is crucial for researchers, engineers, operators, company administrators, and policymakers in related fields, to comprehensively understand current technologies' infra-knowledge structure and limitations.

  • Handbook of Mobility Data Mining, Volume 3

    Mobility Data-Driven Applications
    • 1st Edition
    • Haoran Zhang
    • English
    Handbook of Mobility Data Mining: Volume Three: Mobility Data-Driven Applications introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations. The book introduces how to design MDM platforms that adapt to the evolving mobility environment—and new types of transportation and users—based on an integrated solution that utilizes sensing and communication capabilities to tackle significant challenges faced by the MDM field. This third volume looks at various cases studies to illustrate and explore the methods introduced in the first two volumes, covering topics such as Intelligent Transportation Management, Smart Emergency Management—detailing cases such as the Fukushima earthquake, Hurricane Katrina, and COVID-19—and Urban Sustainability Development, covering bicycle and railway travel behavior, mobility inequality, and road and light pollution inequality.

  • Handbook of Mobility Data Mining, Volume 1

    Data Preprocessing and Visualization
    • 1st Edition
    • Haoran Zhang
    • English
    Handbook of Mobility Data Mining, Volume One: Data Preprocessing and Visualization introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations. Further, the book introduces how to design MDM platforms that adapt to the evolving mobility environment, new types of transportation, and users based on an integrated solution that utilizes sensing and communication capabilities to tackle significant challenges faced by the MDM field. This volume focuses on how to efficiently pre-process mobile big data to extract and utilize critical feature information of high-dimensional city people flow. The book first provides a conceptual theory and framework, then discusses data sources, trajectory map-matching, noise filtering, trajectory data segmentation, data quality assessment, and more, concluding with a chapter on privacy protection in mobile big data mining.

  • The New Public Health

    • 4th Edition
    • Theodore H. Tulchinsky + 2 more
    • English
    **Selected for Doody’s Core Titles® 2024 in Public Health**The New Public Health has established itself as a solid textbook throughout the world. Translated into seven languages, this work distinguishes itself from other public health textbooks, which are either highly locally oriented or, if international, lack the specificity of local issues relevant to students' understanding of applied public health in their own setting.Fully revised, the Fourth Edition of The New Public Health provides a unified approach to public health appropriate for graduate students and advance undergraduate students especially for courses in MPH, community health, preventive medicine, community health education programs, community health nursing programs. It is also a valuable resource for health professionals requiring an overview of public health.

  • Handbook of the Economics of Education

    • 1st Edition
    • Volume 6
    • English
    The Handbook of the Economics of Education describes the research frontier in key topical areas and sets the agenda for further work. Modern analysis in the economics of education has made tremendous strides in understanding fundamental issues related to the production of human capital and the impact of varying institutional features of education systems. By bringing together some of the world’s leading scholars, this volume provides a unique view of scholarship in the area. The international perspectives of the editors – Hanushek at Stanford, Machin at LSE, and Woessmann at Munich – leads to a volume with something for all researchers. Topics range from the economics of early childhood education to inequality in society to cash transfers in developing countries.

  • Recent Advancement of IoT Devices in Pollution Control and Health Applications

    • 1st Edition
    • Swapnila Roy + 2 more
    • English
    Recent Advancement of IoT Devices in Pollution Control and Health Applications covers current developments in Internet of Things (IoT)-based pollution control, solid waste management, transportation, and healthcare systems. Because of its effects on physical and biological entities of the environment, the issue of environmental pollution and action has become a global concern. This guide highlights how environmental and health data from connected devices can be stored, analyzed, and eventually used—from developing indices for the state of environmental pollution, to diagnosing and treating patients and the role of IoT-based technology for pollution control.

  • Artificial Intelligence and Machine Learning in Smart City Planning

    • 1st Edition
    • Vedik Basetti + 3 more
    • English
    Artificial Intelligence and Machine Learning in Smart City Planning shows the reader practical applications of AIML techniques and describes recent advancements in this area in various sectors. Owing to the multidisciplinary nature, this book primarily focuses on the concepts of AIML and its methodologies such as evolutionary techniques, neural networks, machine learning, deep learning, block chain technology, big data analytics, and image processing in the context of smart cities. The text also discusses possible solutions to different challenges posed by smart cities by presenting cutting edge AIML techniques using different methodologies, as well as future directions for those same techniques.

  • Sustainable Investing

    Socio-Economic Impacts of Exchange-Traded Funds
    • 1st Edition
    • Adam Marszk + 1 more
    • English
    Sustainable Investing: Socio-Economic Impacts of Exchange-Traded Funds examines the social and economic effects of sustainable investing ETFs and their impacts on the global financial system. The book presents the key issues with regard to sustainable investing, discussing exchange-traded funds mechanisms and categories in comparison to competing investment funds. The book outlines the theoretical determinants of ETF markets development and the effects of their diffusion, both at the investor and firm levels, as well as financial system, entire economy, and society levels. The book presents various possible implementations of sustainable investing, and covers the methodological aspects of their identification and categorization. Hybrid investment products—such as exchange-traded funds that combine the investment features of mutual funds with the trading features of stocks—are one of the most rapidly growing categories of investment funds with their total global value reaching almost $5 trillion. The book examines the linkages between ETFs and the FinTech sector in the context of sustainable development, as well as global sustainable development policies in relation to their effects on the popularity of sustainable investing. The book concludes with a discussion of the significance for other entities that may be affected, such as policy makers and recipients of funds invested through sustainable investment strategies.

Related subjects