Enhancing the quality and social impacts of urban planning through community-engaged operations research
Bibliographic Data
| ID | 21247652 |
|---|---|
| Authors | Tayo Fabusuyi (0000-0002-5828-1912, University of Michigan, corresponding author), Michael P Johnson (0000-0002-5675-8019, University of Massachusetts Boston) |
| Year | 2022 |
| Volume | 49 |
| Issue | 4 |
| Pages | 1167-1183 |
| Publication date | 2022-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning B Urban Analytics and City Science (JOURNAL) |
| Journal identifiers | ISSN: 2399-8083 • E-ISSN: 2399-8091 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/23998083211054851 |
| OpenAlex | W3210436132 |
| Language | EN |
| Citations received | 1 |
| References cited | 48 |
While inquiry in operations research (OR) modeling of urban planning processes is long-standing, on the whole, the OR discipline has not influenced urban planning practice, teaching and scholarship at a level of other domains such as public policy and information technology. Urban planning presents contemporary challenges that are complex, multi-stakeholder, data-intensive, and ill structured. Could an OR approach which focuses on the complex, emergent nature of cities, the institutional environment in which urban planning strategies are designed and implemented and which puts citizen engagement and a critical approach at the center enable urban planning to better meet these challenges? Based on a review of research and practice in OR and urban planning, we argue that a prospective and prescriptive approach to planning that is inductive in nature and embraces “methodological pluralism” and mixed methods can enable researchers and practitioners develop effective interventions that are equitable and which reflect the concerns of community members and community serving organizations. We discuss recent work in transportation, housing, and community development that illustrates the benefits of embracing an enhanced OR modeling approach both in the framing of the model and in its implementation, while bringing to the fore three cautionary themes. First, a mechanistic application of decision modeling principles rooted in stylized representations of institutions and systems using mathematics and computational methods may not adequately capture the central role that human actors play in developing neighborhoods and communities. Second, as innovations such as the mass adoption of automobiles decades ago led to auto-centric city design show, technological innovations can have unanticipated negative social impacts. Third, the current COVID pandemic shows that approaches based on science and technology alone are inadequate to improving community lives. Therefore, we emphasize the important role of critical approaches, community engagement and diversity, equity, and inclusion in planning approaches that incorporate decision modeling
Environmental design and planning · Interdependence · Knowledge management · Land use · Land-use planning · Management science · Political science · Public relations · Social science · Sociology · Sociotechnical system · Stakeholder · Transportation planning · Urban planning · Computer Science · Engineering · Transportation and Mobility Innovations · Transportation Planning and Optimization · Urban Transport and Accessibility
The Urban Commons
Artificial Unintelligence
Declaration of Independence for Cyberspace
Requiem for Large-Scale Models
Urban planning, public participation and digital technology
Foundations of transdisciplinarity
Big data, smart cities and city planning
Datafied and Divided
Maintain, demolish, re-purpose
Systems approaches to urban planning
A Ladder Of Citizen Participation
On Urban Failure
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,25 |
| Citation span | 2022 - 2022 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |