Books in Decision sciences

Our decision sciences titles care essential reading for students and professionals, and cover key topics in decision support systems, and global logistics, among other areas of research and practice

Books Journals

1-10 of 321 results in All results

Multiple Criteria Decision Making / Aiding in Transportation and Logistics

1st Edition
October 1, 2029
Jacek Zak
English

Transportation and Logistics Problem-Solving Through Multiple Criteria Decision Making is the first book that solves complex transportation and logistical problems through MCDM, presenting advanced methodology in an accessible format. Today’s transportation and logistics professionals are tasked daily with critical decisions affecting facility location, fleet management, crew assignment and scheduling, and portfolio optimization. Transportation and Logistics Problem-Solving Through Multiple Criteria Decision Making provides the methodological framework to solve these multiple, criteria-based decision problems. It equips readers with set of concrete rules, methods and procedures that make MCDM principles practical and applicable for transportation and logistics. Transportation and Logistics Problem-Solving Through Multiple Criteria Decision Making models and solves the various MCDM categories, including choice, ranking, and classification, with an application of applicable solution procedures. The book covers deterministic and non-deterministic, as well as static and dynamic situations, presenting original mathematical formulations of multiple criterial transportation and logistical problems. It reviews applied methods, such as meta-heuristic, hybrid, rough-set, interactive, and exact procedures, and customizes them to solve specific transportation situations. The book shows the vast majority of transportation and logistics decisions have a multiple criteria core, and explains how to use this knowledge to arrive at the best decisions possible.

Mobility Patterns, Big Data and Transport Analytics

2nd Edition
June 1, 2025
Constantinos Antoniou + 2 more
English

Mobility Patterns, Big Data and Transport Analytics, 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. It features prominent international experts who provide overviews on new analytical frameworks, applications and concepts in mobility analysis and transportation systems. The fields covered by this book are evolving rapidly and this new edition updates the 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 and limitations for realistic transportation applications, and transportation systems analysis that are related to complex processes and phenomena. It 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.

Smart Infrastructure Management

1st Edition
June 1, 2025
Shi Qiu + 3 more
English

People and businesses rely on transportation networks every day, but what happens when critical assets break unexpectedly, or worse, when they pollute our environment and threaten our natural resources? Smart Infrastructure Management is an up-to-date, inter-disciplinary exploration of this intricate and dynamic landscape, with the overarching aim of providing theoretical and practical understanding of state-of-the-art technologies that can effectively support a variety of stakeholders in the decision-making process throughout the entire lifecycle of an infrastructure project.The volume examines the evolutionary trajectory, inherent challenges, and pivotal methodologies for modern-day infrastructure management, with a narrative that traverses the complex frameworks of different domains to coordinate a transformative, fully integrated approach. Data collection and sensors, spatial modeling and simulation tools, asset management, preventative or predictive maintenance measures, computational techniques, cybersecurity, decision support systems, and the transformative influence of smart cities contribute to the book’s breadth and depth. Real-world case studies are strategically interwoven throughout, offering tangible examples of encouragingly successful implementations and valuable lessons learnt. The appeal of the investigation is thus expanded from researchers and students to professionals across diverse fields, ensuring that actionable strategies are incorporated in industry practice too — paramount for the improvement of infrastructure capabilities in step with society’s ever-changing needs.

Handbook of the Economics of Conflict

1st Edition
Volume 1
November 1, 2024
Massimo Morelli + 3 more
English
Hardback
9 7 8 - 0 - 3 2 3 - 9 8 8 9 1 - 9
eBook
9 7 8 - 0 - 3 2 3 - 9 8 8 9 2 - 6

Handbook of the Economics of Conflict highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Chapters in this release include Conflict Initiation and the Coase Theorem, Misperceptions and the dynamics of conflict, Power Mismatch, Shocks and Conflict, On the Salience of Ethnic Conflict, Polarization and Conflict, Trade Policy in the Shadow of War: A Quantitative Toolkit for Geoeconomics, Conflict in History, Strategic militarization, Propaganda and Conflict, Climate and Conflict, and The Psychology of Conflict.

Multi-Criteria Decision-Making Analysis for Civil Engineering Applications

1st Edition
October 1, 2024
Hossein Bonakdari + 2 more
English
Paperback
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eBook
9 7 8 - 0 - 4 4 3 - 2 2 2 8 3 - 2

Multi-Criteria Decision-Making Analysis for Civil Engineering Applications helps civil engineers by outlining state-of-the-art tactics for quantitative decision-making to optimally select the appropriate approach when faced with operational issues, or to prioritize projects among multiple options. Authored by recognized experts in the field, the volume proves to be a balanced reference book that’s essential not just for civil engineers, but also for a wide variety of audiences in interconnected disciplines.Decision-making is a key factor to achieve success in any discipline, especially in a field which requires handling large amounts of information and is based on calculations as civil engineering. Most processes and procedures are a compendium of many different tasks and requirements of each project under development, also involving a great variety of specific factors and numerical values to be considered. Making decisions in such environments can often be an arduous endeavor, and that is why the need for analytical criteria capable of assisting with untangling complex scenarios has arisen preponderantly.

Decision Support Systems for Sustainable Computing

1st Edition
May 23, 2024
Muhammet Deveci
English
Paperback
9 7 8 - 0 - 4 4 3 - 2 3 5 9 7 - 9
eBook
9 7 8 - 0 - 4 4 3 - 2 3 5 9 8 - 6

Decision Support Systems for Sustainable Computing investigates recent technological advances in decision support systems models designed to solve real world applications. The book provides a broad overview of digital technology transformation as applied to the circular economy, which is seeking to drive improvements in scientific research, communication, logistics, automation, production, and the improved sustainability of these processes and products. The book explores applications of decision support for sustainable development across supply chain management, business intelligence, agriculture, aviation, communications, and finance.

Stampede Theory

1st Edition
April 26, 2023
Philip Feldman
English
Paperback
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eBook
9 7 8 - 0 - 4 4 3 - 1 3 7 3 6 - 5

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
9 7 8 - 0 - 4 4 3 - 1 8 4 2 4 - 6
eBook
9 7 8 - 0 - 4 4 3 - 1 8 4 2 5 - 3

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
9 7 8 - 0 - 3 2 3 - 9 5 8 9 2 - 9
eBook
9 7 8 - 0 - 4 4 3 - 1 8 4 2 3 - 9

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
9 7 8 - 0 - 4 4 3 - 1 8 4 2 8 - 4
eBook
9 7 8 - 0 - 4 4 3 - 1 8 4 2 9 - 1

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.