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 identify and evaluate alternative plans and policies.

Format: Paperback / softback
Length: 328 pages
Publication date: 17 June 2023
Publisher: Springer Nature Switzerland AG

This book is an open-access resource that provides readers with a comprehensive exploration of diverse modeling approaches for formulating plans and policies that address public sector challenges and issues. Authored with the intended audience of upper-level undergraduate and graduate students in public policy and social sciences, as well as public sector decision-makers, it serves as a valuable guide in demonstrating and comparing the development and application of various deterministic and probabilistic optimization and simulation modeling methods for analyzing planning and management dilemmas. By employing these modeling tools, stakeholders can effectively identify and assess alternative plans and policies, considering their physical, economic, environmental, and social implications. Acquiring proficiency in the mathematical modeling techniques introduced in this book equips students with valuable skills that will be instrumental in their roles as informed public policy advisors or decision-makers.

This book is an open-access resource that provides readers with a comprehensive exploration of diverse modeling approaches for formulating plans and policies that address public sector challenges and issues. Authored with the intended audience of upper-level undergraduate and graduate students in public policy and social sciences, as well as public sector decision-makers, it serves as a valuable guide in demonstrating and comparing the development and application of various deterministic and probabilistic optimization and simulation modeling methods for analyzing planning and management dilemmas. By employing these modeling tools, stakeholders can effectively identify and assess alternative plans and policies, considering their physical, economic, environmental, and social implications. Acquiring proficiency in the mathematical modeling techniques introduced in this book equips students with valuable skills that will be instrumental in their roles as informed public policy advisors or decision-makers.

This book is an open-access resource that provides readers with a comprehensive exploration of diverse modeling approaches for formulating plans and policies that address public sector challenges and issues. Authored with the intended audience of upper-level undergraduate and graduate students in public policy and social sciences, as well as public sector decision-makers, it serves as a valuable guide in demonstrating and comparing the development and application of various deterministic and probabilistic optimization and simulation modeling methods for analyzing planning and management dilemmas. By employing these modeling tools, stakeholders can effectively identify and assess alternative plans and policies, considering their physical, economic, environmental, and social implications. Acquiring proficiency in the mathematical modeling techniques introduced in this book equips students with valuable skills that will be instrumental in their roles as informed public policy advisors or decision-makers.

Weight: 522g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030939885
Edition number: 1st ed. 2022