Rethinking Environmental Justice in Sustainable Cities: Insights from Agent-Based Modeling / Edition 1

Rethinking Environmental Justice in Sustainable Cities: Insights from Agent-Based Modeling / Edition 1

ISBN-10:
1138066699
ISBN-13:
9781138066694
Pub. Date:
03/10/2017
Publisher:
Taylor & Francis
ISBN-10:
1138066699
ISBN-13:
9781138066694
Pub. Date:
03/10/2017
Publisher:
Taylor & Francis
Rethinking Environmental Justice in Sustainable Cities: Insights from Agent-Based Modeling / Edition 1

Rethinking Environmental Justice in Sustainable Cities: Insights from Agent-Based Modeling / Edition 1

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Overview

As the study of environmental policy and justice becomes increasingly significant in today’s global climate, standard statistical approaches to gathering data have become less helpful at generating new insights and possibilities. None of the conventional frameworks easily allow for the empirical modeling of the interactions of all the actors involved, or for the emergence of outcomes unintended by the actors. The existing frameworks account for the "what," but not for the "why."

Heather E. Campbell, Yushim Kim, and Adam Eckerd bring an innovative perspective to environmental justice research. Their approach adjusts the narrower questions often asked in the study of environmental justice, expanding to broader investigations of how and why environmental inequities occur. Using agent-based modeling (ABM), they study the interactions and interdependencies among different agents such as firms, residents, and government institutions. Through simulation, the authors test underlying assumptions in environmental justice and discover ways to modify existing theories to better explain why environmental injustice occurs. Furthermore, they use ABM to generate empirically testable hypotheses, which they employ to check if their simulated findings are supported in the real world using real data.

The pioneering research on environmental justice in this text will have effects on the field of environmental policy as a whole. For social science and policy researchers, this book explores how to employ new and experimental methods of inquiry on challenging social problems, and for the field of environmental justice, the authors demonstrate how ABM helps illuminate the complex social and policy interactions that lead to both environmental justice and injustice.


Product Details

ISBN-13: 9781138066694
Publisher: Taylor & Francis
Publication date: 03/10/2017
Series: Routledge Studies in Public Administration and Environmental Sustainability
Edition description: New Edition
Pages: 250
Product dimensions: 6.00(w) x 9.00(h) x (d)

About the Author

Heather E. Campbell is Chair of the Department of Politics and Policy and Field Chair for Policy at the Claremont Graduate University, School of School of Social Science, Policy, and Evaluation.

Yushim Kim is an Associate Professor at the School of Public Affairs at Arizona State University (ASU) in Phoenix. She is interested in complexity-informed research, methods, and applications in the field of public policy and management. She has published refereed articles on environmental justice, public health emergencies, and social welfare fraud.

Adam Eckerd is an Assistant Professor at the Center for Public Administration and Policy (CPAP) in the School of Public and International Affairs at Virginia Tech. He conducts research on the complex relationship between government decisions and social outcomes, particularly with respect to environmental justice, public participation, and nonprofit organizations.

Table of Contents

Selected Contents: 1. Introduction 2. Environmental Justice Research and Agent-Based Modeling 3. An Agent-Based Model For Environmental Justice: The Ej Abm 4. Economic Rationality, Political Rationality, Or Racial Targeting: Focusing On Firm Behavior 5. Residential Choice Constraints 6. Race, Class, And Environmental Disparities 7. Residential Mobility 8. Local Zoning 9. Polluted-Site Remediation 10. All Politics Are Spatial: Integrating An Agent-Based Model With Spatially Explicit Landscape Data Hal T. Nelson, Nicholas L. Cain, And Zining Yang 11. Conclusions

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