Books in Decision sciences and social sciences

1-10 of 17 results in All results

Stampede Theory

• 1st Edition
• April 26, 2023
• Philip Feldman
• English
• Paperback 978-0-443-13735-8

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• eBook 978-0-443-13736-5

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Stampede Theory: Human Nature, Technology, and Runaway Social Realities explores the biological, evolutionary and technological systems that drive troubling patterns of behavior among groups while also proposing actions to combat harm. The book discusses different ways that living beings coordinate and how the emergence of communication technologies has changed behaviors. As the problem of echo chambers and misinformation grows, it is crucial to understand underlying causes and provide solutions—this book does just that by pulling from multiple fields to produce a coherent story about how social realities are created and how they can create resilient communities or reinforce damaging beliefs. This interdisciplinary approach rests on three primary pillars: 1) How information systems affect the distribution of ideas, information, influence and belief; 2. Technology-mediated communication between individuals and groups, from stories pressed into clay tablets to “likes” on social media; 3) The sociology of behavioral bias in groups ranging from teams to nations. Because of its interdisciplinary foundations, the book includes chapters that address behavioral economics, cults, artificial intelligence, and the individual psychology of belief.  This will be a valuable resource for a range of readers, from political and social scientists to decision-makers in government and business, scientists in the fields of machine learning and AI, and more.

Handbook of Mobility Data Mining, Volume 2

• 1st Edition
• January 27, 2023
• Haoran Zhang
• English
• Paperback 978-0-443-18424-6

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• eBook 978-0-443-18425-3

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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

• 1st Edition
• January 26, 2023
• Haoran Zhang
• English
• Paperback 978-0-323-95892-9

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• eBook 978-0-443-18423-9

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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

• 1st Edition
• January 26, 2023
• Haoran Zhang
• English
• Paperback 978-0-443-18428-4

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• eBook 978-0-443-18429-1

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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.

Global Logistics Network Modelling and Policy

• 1st Edition
• September 8, 2020
• Ryuichi Shibasaki + 2 more
• English
• Paperback 978-0-12-814060-4

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• eBook 978-0-12-814061-1

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Global Logistics Network Modelling and Policy provides guidelines on quality policy, covering investments, management and planning for port and hinterland infrastructure, roads, railways and inland waterway ports. The book first describes the authors’ concept and formulation models, followed by a description and analysis of the applied data. As shipping companies fiercely compete in an effort to achieve greater efficiency and impact infrastructure policy and plan for the entire supply chain, they need tactics that drive quality transportation policy and new ways to model and simulate worldwide cargo movements, all while estimating demand and capacity of systems. This book provides quantitative tools for modeling, analysis, and simulation of worldwide, inter-modal cargo movement – helping forecast the impacts of logistics and related policies in each region of the world. It covers useful applications for every region of the world, allowing policymakers to tailor results for their own specific uses.

International Trade and Transportation Infrastructure Development

• 1st Edition
• April 24, 2020
• Juan Carlos Villa + 2 more
• English
• Paperback 978-0-12-815741-1

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• eBook 978-0-12-816256-9

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International Trade and Transportation Infrastructure Development: Experiences in North America and Europe examines the impact of trade agreements, such as the North American Trade Agreement (NAFTA) and the European Union Customs Union, and their relationship to transportation systems and infrastructure in member countries. It analyzes historical trade by mode, evaluating modal shifts due to trade policy and disputes, and their implications for all involved nations. This book also examines both supply and demand trends, reviewing transportation processes, and the stakeholders involved. Capacity development, funding mechanisms, and operational characteristics of each mode are detailed in relation to the policies that influence them. The book reviews recent trends and the impact of disruptive technologies, as well as future potential regulatory changes, with relation to upcoming infrastructure plans, project funding, and operations. This book is an ideal reference for transportation practitioners involved in planning, feasibility studies, consultation and policy for international transportation systems or infrastructure. Academic researchers and graduate students in transportation planning, international relations, and trade will also find this book useful.

Demand for Emerging Transportation Systems

• 1st Edition
• November 28, 2019
• Constantinos Antoniou + 2 more
• English
• Paperback 978-0-12-815018-4

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• eBook 978-0-12-815019-1

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Demand for Emerging Transportation Systems: Modeling Adoption, Satisfaction, and Mobility Patterns comprehensively examines the concepts and factors affecting user quality-of-service satisfaction. The book provides an introduction to the latest trends in transportation, followed by a critical review of factors affecting traditional and emerging transportation system adoption rates and user retention. This collection includes a rigorous introduction to the tools necessary for analyzing these factors, as well as Big Data collection methodologies, such as smartphone and social media analysis. Researchers will be guided through the nuances of transport and mobility services adoption, closing with an outlook of, and recommendations for, future research on the topic. This resource will appeal to practitioners and graduate students.

Airport Capacity Constraints and Strategies for Mitigation

• 1st Edition
• November 15, 2019
• Marc C. Gelhausen + 2 more
• English
• Paperback 978-0-12-812657-8

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• eBook 978-0-12-812658-5

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When predicting the future of air traffic development, it is imperative for researchers and planners tohave the most accurate information about airport capacity constraints. Airport capacity constraintsand strategies for mitigation: A global perspective analyses airport capacity constraints with empiricalmethods that forecast future capacities and capacity shortfalls.The book discusses in detail the importance of airport capacity constraints on air traffic development,especially for international hubs, along with mitigation strategies for already congested airports. It analysesempirical data to provide greater insight into the problems of airport congestion and capacity shortage.The authors present detailed global traffic forecasts for the years 2030 and 2040, and mitigation strategiesfor overcoming the problem of limited airport capacity.As expanding current airports becomes increasingly difficult, and time consuming – especially for hubs– the study of current and future airport capacity constraints becomes ever more needed. This bookprovides detailed information about how to correctly assess and quantify the problem of limited airportcapacity, while offering strategies for overcoming these issues for a healthy global air traffic network.

Air Route Networks Through Complex Networks Theory

• 1st Edition
• November 6, 2019
• Jose M. Sallan + 1 more
• English
• Paperback 978-0-12-812665-3

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• eBook 978-0-12-812666-0

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Air Route Networks through Complex Networks Theory connects theory research with network connectivity analysis, providing practitioners with the tools they need to develop more efficient, resilient and profitable air route networks. The book helps airline route planners and executives create more robust route networks that are less vulnerable to disruptions, such as node isolation. The book further explores errors and attacks in complex networks, strategies for detecting critical nodes and cascading failure models to assess and maximize robustness. The book explains how to measure air route network connectivity with complex network representations. Air transport is among the most dynamic and toughest competition industries in today’s global economy. The quality of air route network design is a key strategic factor in an airline’s viability. These robust networks provide for more stable and secure carrier operations vs. those based simply on existing supply and demand volumes. Node-specific and network-specific representations are covered, along with in-depth coverage of connectivity in special and temporal networks. These collective tools serve as a guide for practitioners seeking to apply complex network theory to the airline industry.

The Accelerating Transport Innovation Revolution

• 1st Edition
• April 17, 2019
• George Giannopoulos + 1 more
• English
• Paperback 978-0-12-813804-5

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• eBook 978-0-12-813805-2

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The Accelerating Transport Innovation Revolution: A Global, Case Study-based Assessment of Current Experience, Cross-sectorial Effects and Socioeconomic Transformations, offers a comprehensive view of current state-of-the-art and practices around the world to create innovation on a revolutionary scale and connect research to commercial exploitation of its results. It offers a fascinating new model of the innovation process based on theories of biological ecosystems, general systems theory and basins of attraction (represented through space-time graphs well known in mathematics). Furthermore, it considers – through a number of dedicated chapters - key issues and elements of innovation ecosystems, such as: Causal Factors and system constraints affecting the development and sustainability of innovation ecosystems (Chapter 4); Review of innovation organization and governance in key countries and regions (Chapter 5); the role of technological "Spillovers" (Chapter 6); Collection and use of data for innovation monitoring and benchmarking (Chapter 7); Intellectual Property protection between competing ecosystems (Chapter 8); Economics of innovation (Chapter 9); Public and private sector involvement in Transport innovation creation (Chapter 10); the role of the individual entrepreneur - innovator in energizing change (Chapter 11). Finally, in Chapter 12, there is a thorough summary of key findings. This book uses a paradigmatic approach to augment the innovation ecosystem model of innovation that integrates beliefs and learning into the innovation ecosystems model. It therefore includes ten case studies from the U.S., Europe and Asia, detailing how innovation is created across continents and different ecosystems and what are the critical lessons to be learned. It does this, effectively, at five different levels of analysis i.e. the individual innovator / entrepreneur level, the organization level (government agency or company), the regional ecosystem level, the nation-state level and the global – systemic or international level. Each level of analysis, reveals unique features of the innovation landscape and the ten case studies allow the reader to assess when and where specific "enablers" are facilitating innovation especially on a revolutionary scale. The need for the book came from the realization that despite the billions of dollars spent on various research programs over the past 20 years (especially in the public sector), there have been few clear and tangible efforts directed at exploring how innovation production increasingly occurs and the critical factors necessary to sustain large-scale, revolutionary change as the future unfolds. Thus, a primary theme of the book is that understanding how research results translate into market innovation and implementation, especially understanding the nature of revolutionary innovation, is as important as the creation of innovations themselves. While the focus of the book is on Transportation, the concepts and recommendations presented apply to other fields too.