Public Systems Modeling
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Public Systems Modeling
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.
Integrated Urban Systems Modeling: Theory and Applications
Author: Tschangho John Kim
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
A wide range of books on urban systems models are available today for the student of urban planning, geography, and economics. There are few, if any, books, however, that deal with integrated urban systems modeling from the operational viewpoint. The term "integrated" is used here in the same sense as the "general equilibrium", in contrast to such approaches as "sequential" or "partial equilibrium". In fact, the main thesis of this book is that the characteristics of ur ban activity that best distinguish it from rural activity are (1) the intensive use of urban land and (2) urban congestion. On this basis, models that are introduced in this book are three- dimensional in character and produce urban land use configurations with explicit optimal density of urban pro duction activities along with optimal levels of transportation congestion. It is also assumed that both public and private sectors play significant roles in shaping urban forms, structures, and functions in mixed economic systems. From this viewpoint, models developed in this book address two integrated decision-making procedures: one by the public sector, which provides urban infrastructure and public services, and the other one by the private sector, which uses provided infrastructure and public services in pursuing parochial interests.
Enabling Collaborative Governance through Systems Modeling Methods
This volume constitutes a first approximation for the use of systems approaches and dynamic performance management as tools for collaborative governance. The chapters examine models and simulations used in some specific systems approaches, which contribute to facilitating problem focus and collective understanding of collaborative governance, especially in the area of performance management. The explicit connection between resources and outcomes promoted by this view helps managers to understand better how to improve policy and to create positive outcomes that create public value.