Public Systems Modeling: Methods for Identifying and Evaluating Alternative Plans and Policies

This book provides readers with an introduction to modeling plans and policies that address public sector issues and problems, using deterministic and probabilistic optimization and simulation modeling methods. It is written for students in public policy and social sciences, as well as decision-makers in the public sector, and demonstrates the development and use of these tools to evaluate alternative plans and policies.

Format: Hardback
Length: 328 pages
Publication date: 17 June 2022
Publisher: Springer Nature Switzerland AG

This open-access book provides readers with a comprehensive exploration of diverse modeling approaches that address public sector challenges and problems. Authored for upper-level undergraduate and graduate students in public policy and social sciences, as well as public sector decision-makers, it showcases and compares the development and application of various deterministic and probabilistic optimization and simulation modeling methods for analyzing planning and management issues. By employing these modeling tools, stakeholders can effectively identify and assess alternative plans and policies, considering their physical, economic, environmental, and social impacts. Acquiring proficiency in the mathematical modeling techniques introduced in this book equips students with valuable skills for making informed public policy recommendations and decisions.

The book begins by introducing the fundamental concepts and principles of modeling, including the definition of a problem, the selection of appropriate modeling techniques, and the development of models. It then delves into specific modeling methods, such as linear programming, dynamic programming, and agent-based modeling, and discusses their applications in various public sector domains, such as transportation, healthcare, and urban planning.

Throughout the book, real-world case studies and examples are used to illustrate the practical implications of modeling and demonstrate how it can be used to inform decision-making processes. The authors also provide detailed explanations of the mathematical concepts and algorithms underlying each modeling method, making the book accessible to students with a range of backgrounds, including those without a strong mathematical background.

In conclusion, this book serves as a valuable resource for students, researchers, and practitioners interested in developing and applying modeling techniques to address public sector issues. By providing a comprehensive overview of diverse modeling approaches and their applications, it equips readers with the skills and knowledge necessary to make informed decisions and contribute to the betterment of society.

Weight: 667g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030939854
Edition number: 1st ed. 2022