Decision Science for Housing and Community Development

Michael P. Johnson , Jeffrey M. Keisler , Senay Solak , David A. Turcotte , Armagan Bayram 지음

Wiley 2015년 09월 28일 출간

작품소개

책소개

A multidisciplinary approach to problem-solving in community-based organizations using decision models and operations research applications A comprehensive treatment of public-sector operations research and management science, Decision Science for Housing and Community Development: Localized and Evidence-Based Responses to Distressed Housing and Blighted Communities addresses critical problems in urban housing and community development through a diverse set of decision models and applications. The book represents a bridge between theory and practice and is a source of collaboration between decision and data scientists and planners, advocates, and community practitioners. The book is motivated by the needs of community-based organizations to respond to neighborhood economic and social distress, represented by foreclosed, abandoned, and blighted housing, through community organizing, service provision, and local development. The book emphasizes analytic approaches that increase the ability of local practitioners to act quickly, thoughtfully, and effectively. By doing so, practitioners can design and implement responses that reflect stakeholder values associated with healthy and sustainable communities; that benefit from increased organizational capacity for evidence-based responses; and that result in solutions that represent improvements over the status quo according to multiple social outcome measures. Featuring quantitative and qualitative analytic methods as well as prescriptive and exploratory decision modeling, the book also includes: Discussions of the principles of decision theory and descriptive analysis to describe ways to identify and quantify values and objectives for community development Mathematical programming applications for real-world problem solving in foreclosed housing acquisition and redevelopment Applications of case studies and community-engaged research principles to analytics and

목차

PREFACE xiii FOREWORD xvii ACKNOWLEDGMENTS xxiii AUTHOR BIOGRAPHIES xxv LIST OF FIGURES xxix LIST OF TABLES xxxv 1 Introduction: Community-Based Organizations, Neighborhood-Level Development, and Decision Modeling 1 1.1 Challenges and Opportunities for Housing and Community Development in the US 1 1.2 Community Development in the United States 6 1.3 Big Data, Analytics and Community Development 9 1.4 The Foreclosure Crisis: Problem, Impacts, and Responses 11 1.5 Community-Based Operations Research: A Novel Approach to Support Local Development 13 1.6 Why This Book Now? 19 1.7 Book Description 21 1.8 Conclusion 24 SECTION 1 POLICY AND PRACTICE IN FORECLOSED HOUSING AND COMMUNITY DEVELOPMENT 27 2 Foreclosed Housing Crisis and Policy and Planning Responses 29 2.1 Roots of the Foreclosed Housing Crisis 29 2.2 Impacts of the Crisis 32 2.2.1 Foreclosure Rates 33 2.2.2 Home Equity and Wealth 34 2.2.3 Health, Education, and Household Mobility 36 2.2.4 Disamenities and Spillover Effects 37 2.2.5 Market-Level Consequences 38 2.3 Responses to the Crisis 39 2.4 Effectiveness of Foreclosure Responses 41 2.5 Opportunities for Decision Modeling Responses to the Foreclosed Housing Crisis 43 3 Community Partners and Neighborhood Characteristics 45 3.1 Introduction 45 3.2 Methodology 46 3.2.1 Data Gathering Summary 46 3.2.2 Triangulation 47 3.2.3 Analysis 48 3.3 Selection of Cases 49 3.4 Case 1: The Neighborhood Developers 50 3.4.1 Organization Type and Mission 50 3.4.2 Organization Service Area and Population 55 3.4.3 Organization Engagement with Foreclosure Crisis 55 3.4.4 Organization Technical Capacity and Familiarity with Project&'s Analytic Methods 58 3.5 Case 2: Coalition f

작가정보

저자(글) Michael P. Johnson

저자(글) Jeffrey M. Keisler

저자(글) Senay Solak

저자(글) David A. Turcotte

저자(글) Armagan Bayram