Overview
- Is open access and introduces the use of various modeling tools for public policy analyses
- Written for students and public decision makers
- Applies deterministic and probabilistic models to various public sector planning and management issues
- This book is is open access which means you have free and unlimited access
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 318)
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Table of contents (18 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This is an open access book discusses readers to various methods of modeling plans and policies that address public sector issues and problems. Written for public policy and social sciences students at the upper undergraduate and graduate level, as well as public sector decision-makers, it demonstrates and compares the development and use of various deterministic and probabilistic optimization and simulation modeling methods for analyzing planning and management issues. These modeling tools offer a means of identifying and evaluating alternative plans and policies based on their physical, economic, environmental, and social impacts. Learning how to develop and use the mathematical modeling tools introduced in this book will give students useful skills when in positions of having to make informed public policy recommendations or decisions.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Public Systems Modeling
Book Subtitle: Methods for Identifying and Evaluating Alternative Plans and Policies
Authors: Daniel P. Loucks
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-3-030-93986-1
Publisher: Springer Cham
eBook Packages: Political Science and International Studies, Political Science and International Studies (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2022
Hardcover ISBN: 978-3-030-93985-4Published: 17 June 2022
Softcover ISBN: 978-3-030-93988-5Published: 18 June 2023
eBook ISBN: 978-3-030-93986-1Published: 16 June 2022
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 1
Number of Pages: X, 328
Number of Illustrations: 48 b/w illustrations, 166 illustrations in colour
Topics: Public Policy, Operations Research/Decision Theory, Optimization, Economic Theory/Quantitative Economics/Mathematical Methods