Supporting shrinkage : better planning and decision-making for legacy cities / Michael P. Johnson.

Format:

Book

Author/Creator:

Johnson, Michael P., author.

Language:

English

Subjects (All):

City planning--Social aspects.

City planning.

Shrinking cities.

Physical Description:

1 online resource (278 pages)

Place of Publication:

Albany : State University of New York, [2021]

Summary:

Demonstrates how residents can play a leading role in the positive transformation of their communities in the face of economic and population decline.

Contents:

Intro

Contents

List of Tables and Figures

Acknowledgments

Chapter 1 Planning, Technology, and Shrinking Cities

1.1 Introduction: Policy, Planning Context, and Book Goals

1.2 Shrinking Cities and Distressed Communities

Shrinking Cities

Race, Ethnicity, Shrinkage, and Distress

Social Justice, Equity, and Shrinkage

Vacancy and Abandonment

1.3 Sample Cities for This Book

1.4 Policy and Planning Technologies

Smart Cities

Big Data

Planning Support Systems

Data Analytics and Decision Science

1.5 The Roadmap for the Book

Notes

Chapter 2 What Can Data and Technology Do for Shrinking Cities and Distressed Communities?

2.1 Planning Preliminaries

Traditional Rationalists

Corbusian Modernists

Incrementalists

Neo-Traditionalists/New Urbanists

"Just City" Proponents

Communicative/Collaborative Paradigm

Contemporary Trends

Where do Data, Models, and Technology Come in?

2.2 The Glass Is Half-Full: How Data and Technologies Can Support Sustainable and Equitable Urban Planning

Quality of Life

Technology-Enhanced Community Engagement

Web-Supported Democratic Participation

Analytics and Decision Modeling

Civic Games and Simulations

Social Media

Geographic Information Systems, Participatory GIS, and Extensions

Community-Based Research and Technology Design

Community-Engaged Operations Research and Community Data Analytics

Geodesign

New Models for Researcher-Community Collaborations

2.3 The Glass Is Half-Empty: Limits to the Benefits of Data and Technologies in Urban Areas

Political Disengagement, Social Isolation, and Unequal Technology Access of Minority and Underserved Communities

Lack of Recognition of Privilege, Inequity, and Community Exclusion in Planning Support Technologies

Lack of Trust.

Unclear Beneficiaries of Big Data and Smart Cities

Third Spaces Are Not Available to All

Excessive Costs

Limited Resources and Technical Capacity

2.4 Can Data and Technology Do More Good than Harm for Shrinking Cities and Distressed Communities?

Chapter 3 Three Shrinking Cities: History, Practice, Data, and Technology

3.1 Rationale for Selecting Cities

Themes of Sample Cities

3.2 Flint

Demographics and Continuing Shrinkage in Flint

Shrinkage Responses and Policy

Assessment

3.3 Baltimore

Demographics in Baltimore

Housing Segregation in Baltimore

Policy Responses

Development Revitalization and Relocation

Urban Greening and Sustainability Efforts

Comprehensive Strategies

Challenges and Critiques of Baltimore's Abandoned Housing Strategy

3.4 Fall River

A History of Fall River's Rise and Fall

What the Numbers Tell Us

3.5 Across Three Shrinking Cities: What Can We Learn?

Chapter 4 Data and Modeling Preliminaries: An Application to Fall River, Massachusetts

4.1 Introduction

4.2 Data Analytics and Decision Modeling for Smart Shrinkage

4.3 Neighborhood-Level Decision Making for Vacant Land Management

Note

Chapter 5 Shrinking City Data and Decision Modeling: Baltimore, Maryland

5.1 Introduction

5.2 Demolition, Vacant Land Re-use, and Growing Greener in Baltimore

5.3 Examining Vacant Land Management Practice: A Pilot Study

East Baltimore Clusters Selected by the City

East Baltimore Clusters Not Selected by the City

Cluster Selection and Redevelopment: The Big Picture

5.4 A Values-Oriented Approach: What Really Matters?

5.5 Prescriptive Decision Modeling for Vacant Land Management

5.6 Man versus Machine

Process Comparison

Comparison Summary

5.7 Conclusion

Notes.

Chapter 6 Technology, Data, and Community-Building Where People Matter

6.1 Community Engagement and Problem Solving in a Spatial Context

6.2 What Should a Planning Support Application for Shrinking Cities and Distressed Communities Do?

6.3 What Could It Look Like?

6.4 How Should We Design It?

6.5 How Could It Be Used?

6.6 Will It Make a Difference?

6.7 Reflection

Benefits

Costs

6.8 Conclusion

Chapter 7 Lessons Learned: How Can Data, Models, and Technology Support Shrinking Cities and Distressed Communities?

7.1 Introduction

7.2 What Do We Need to Know to Help Communities Facing Shrinkage and Distress Thrive?

7.3 Barriers to Best Uses of Data, Models, and Technology

7.4 Opportunities for Tech-Aware Development in Shrinking Cities and Distressed Communities

7.5 Looking Forward

Works Cited

About the Authors

Index.

Notes:

Description based on print version record.

ISBN:

9781438483474

1438483473

OCLC:

1262372752