A Simulation Model for Renewal Programming

Robinson, Ira M.; Wolfe, Harry B.; Barringer, Robert L.

doi:10.1080/01944366508978154

Cited by 19 publications

(2 citation statements)

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“…This mindset was the norm even after WWII, a trend accelerated by government mandated plans that were often used as a precondition for receiving tax payer dollars (Rosenhead, 2009) and by the U.S. Housing Act of 1949 that saw federal government dollars directed at urban renewal projects (Lang and Sohmer, 2000). In instances when these plans have strong OR flavor, they have typically emphasized top-down models that are heavy on the mathematics—an example is the widely referenced San Francisco community renewal simulation project (Arthur, 1966; Ernst, 1966; Greenberger et al, 1976; Robinson et al, 1965). Such an approach precludes residents from having a voice in the process.…”

Section: Urban Planning and Operations Research Interfacementioning

confidence: 99%

Enhancing the quality and social impacts of urban planning through community-engaged operations research

Fabusuyi

Johnson

2021

Environment and Planning B: Urban Analytics and City Science

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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.

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Section: Urban Planning and Operations Research Interfacementioning

confidence: 99%

Enhancing the quality and social impacts of urban planning through community-engaged operations research

Fabusuyi

Johnson

2021

Environment and Planning B: Urban Analytics and City Science

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“…By the end of 1965, ADL gave the model over to the planning department and exited the CRP as an active participant (ADL, 1965). Nonetheless, the simulation model constructed in San Francisco garnered considerable public commentary and attention among practitioners who had worked on behalf of the CRP as well as academics, planning professionals, and advocates of electronic computation alike as a means of urban government (Crecine, 1968; Dyckman, 1964; Robinson et al., 1965; Wolfe and Ernst, 1967). In no uncertain terms, the CRP’s turn to computer simulation offered—no matter how incomplete—a governing tool that captured the hearts and minds of innumerable public figures with an interest in urban politics.…”

Section: Simulation: Community Renewal Programmingmentioning

confidence: 99%

Simulating renewal: Postwar technopolitics and technological urbanism

Elrick

2020

Environ Plan D

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This article traces the terms and practices underwriting emergent forms of urban government to technical efforts to simulate markets after the Second World War. With an eye toward contemporary techno-utopian schemes and city-building initiatives, I argue that the basis of technological approaches to urban rule today—a conception of cities as complex socio-economic systems amenable to market-driven optimization—was forged by postwar administrators and technicians in response to the vicissitudes of uneven development. To advance this claim, I examine the history of San Francisco’s Community Renewal Program, an early modeling initiative sponsored in the US by the federal government. After situating it in the context of racialized housing markets and policies, I probe the Community Renewal Program’s attempt to build a computer model capable of forecasting the effects of redevelopment on housing markets. Though the Community Renewal Program model ultimately proved unviable as a planning tool, expert appraisals of it at the time simultaneously confirmed the characterization of cities as systems of market signals and affirmed in principle the ability to model and thus manage them given an appropriate technological infrastructure. In this light, current municipal design and development projects premised on interactive and remote-sensing technologies express something of the technocratic politics and optimism of the mid-20th century.

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Ursachen sozialer Ungleichgewichte bei der Deckung von Wohnbedarfenund Beurteilung der Sanierung als Maßnahme zur Behebung dieser Ungleichgewichte

Wullkopf¹

1967

Wohnungssanierung Als Wirtschaftspolitisches Problem

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A Simulation Model for Renewal Programming

Cited by 19 publications

References 0 publications

Enhancing the quality and social impacts of urban planning through community-engaged operations research

Enhancing the quality and social impacts of urban planning through community-engaged operations research

Simulating renewal: Postwar technopolitics and technological urbanism

Ursachen sozialer Ungleichgewichte bei der Deckung von Wohnbedarfenund Beurteilung der Sanierung als Maßnahme zur Behebung dieser Ungleichgewichte

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