Decision Science for Housing and Community Development: Localized and Evidence-Based Responses to Distressed Housing and Blighted Communities

Name: Decision Science for Housing and Community Development: Localized and Evidence-Based Responses to Distressed Housing and Blighted Communities
ISBN: 9781118974995

by Johnson, Michael P. · Wiley

Publisher: Wiley
Published: 2016
Pages: 374
ISBN-13: 9781118974995
Format: print
Language: English

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A multidisciplinary approach to problem-solving in community-based organizations using decision models and operations research applications A comprehensive treatment of public-sec…

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Book Summary

This textbook bridges operations research and community development, offering decision models and evidence-based strategies to address distressed housing and blight. It equips practitioners with quantitative and qualitative tools to design effective, localized responses. Ideal for planners, data scientists, and community organizers seeking to improve urban neighborhoods through collaborative, analytic approaches.

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About Decision Science for Housing and Community Development: Localized and Evidence-Based Responses to Distressed Housing and Blighted Communities

Decision Science for Housing and Community Development is a comprehensive textbook that applies operations research and management science to public-sector urban problems. It focuses on distressed housing, foreclosures, and blight, providing decision models and analytic methods to help community-based organizations act quickly and effectively. The book covers decision theory, mathematical programming for housing acquisition and redevelopment, and case studies using community-engaged research. It emphasizes evidence-based responses that reflect stakeholder values and improve social outcomes. By bridging theory and practice, it fosters collaboration between decision scientists and community practitioners, enabling localized solutions that enhance organizational capacity and promote healthy, sustainable communities.

Who should read Decision Science for Housing and Community Development: Localized and Evidence-Based Responses to Distressed Housing and Blighted Communities?

This book is essential for urban planners, community development practitioners, policy analysts, and operations researchers working on housing and neighborhood revitalization. It suits graduate students in public policy, urban planning, and operations research, as well as data scientists and decision analysts collaborating with community organizations. Advocates and local government officials seeking evidence-based strategies for addressing blight and distressed housing will also find it invaluable.

Pros & Cons

Pros

✓ Provides a multidisciplinary approach combining operations research with community development practice.
✓ Offers practical decision models and case studies applicable to real-world housing challenges.
✓ Emphasizes evidence-based responses that can improve organizational capacity and social outcomes.
✓ Includes both quantitative and qualitative analytic methods for comprehensive problem-solving.
✓ Bridges the gap between theory and practice, fostering collaboration between data scientists and practitioners.

Cons

✗ May be too technical for readers without a background in operations research or statistics.
✗ Focuses primarily on U.S. urban contexts, which may limit applicability elsewhere.
✗ Assumes some familiarity with community development concepts, which could challenge novices.
✗ Case studies may not cover all types of distressed housing scenarios.
✗ The dense academic style might be challenging for casual readers.

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Frequently asked questions

Is this book suitable for practitioners without a strong math background?

While the book includes mathematical programming, it also provides qualitative methods and case studies. Practitioners with limited math may need to focus on conceptual sections or seek collaboration with analysts.

Does the book include real-world examples?

Yes, it features case studies and community-engaged research principles that illustrate applications of decision models in real community development contexts.

What types of decision models are covered?

The book covers prescriptive and exploratory decision modeling, including mathematical programming for foreclosed housing acquisition and redevelopment, as well as decision theory and descriptive analysis.

Is this book focused on U.S. housing policy?

Yes, the content is primarily grounded in U.S. urban housing and community development contexts, though the methods may be adaptable to other settings.

How can this book help community-based organizations?

It provides analytic approaches to increase organizational capacity for evidence-based responses, enabling practitioners to design and implement effective strategies for addressing distressed housing and blight.

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