The study highlights that simply mapping neighborhoods that were originally redlined fails to capture the full scope of contemporary environmental and social disparities. Jola Ajibade, co-lead author and associate professor of environmental sciences at Emory University, notes that most U.S. cities have expanded significantly beyond their original centers. This expansion, combined with processes like gentrification, creates new and uneven landscapes of risk and opportunity that are not visible when looking solely at historical maps. Kevan B. Moffett, co-lead author and associate professor of environmental hydrology at Washington State University, Vancouver, contributed to the analysis of these shifting dynamics.

To understand the historical context, the researchers reviewed the practices of the Federal Home Loan Bank Board and the Home Owners’ Loan Corporation in 1935. These agencies created residential security maps to guide real-estate investments, ranking neighborhoods with color codes. Green indicated the most desirable areas for investment, while red indicated the highest risk for mortgage support. These redlined areas largely included African-American and other racial minority households, typically located in older city centers. This practice restricted home ownership and wealth creation for these populations, establishing a baseline of disadvantage that persisted for generations.

For the current analysis, the team utilized publicly available socio-economic data alongside more than 100 environmental and health indicators. They compared a modern map of Portland with the former borders of the HOLC residential security maps. This method allowed them to identify where environmental and health inequities persist, where they are shifting, and how different neighborhoods experience varying levels of risk and benefit. The study is a data and statistical analysis rather than an experimental trial, focusing on observational patterns within the metropolitan area.

The findings reveal a pattern of persistent privilege in affluent, predominantly white neighborhoods. Whether these areas were historically redlined or not, they generally enjoy cleaner environments, more tree cover, better access to healthcare, and lower disaster risk. However, the study also notes that these affluent areas within the city core experienced high levels of air pollution, suggesting that wealth does not always insulate residents from all environmental hazards. This nuance challenges the simplistic view that economic status alone determines environmental quality.

In contrast, poorer neighborhoods, many of which are located outside the former HOLC zones, face the worst environmental conditions. These areas are characterized by limited access to nature, aging infrastructure, and higher levels of pollution. Residents in these communities also face greater disaster risk and higher rates of chronic health conditions, including diabetes, obesity, and disability. The study indicates that the burden of environmental hazards is disproportionately concentrated in these lower-income areas, regardless of their historical redlining status.

The research also identifies distinct patterns in gentrifying areas. Neighborhoods that were once redlined but have since gentrified show improvements in transit and community resources. However, these areas also experience hotter streets, less tree cover, and increased pollution. While wealthier newcomers may have the resources to offset some health risks, long-time residents often lack the same capacity to protect themselves. This dynamic highlights the complex interplay between economic change and environmental exposure in transitioning neighborhoods.

Another key finding concerns communities that host displaced families. As gentrification forces residents to move, they often relocate to areas that are greener and less polluted. However, these receiving communities frequently lack essential services such as healthcare, quality schools, and reliable transit. This isolation threatens the long-term well-being of displaced families, suggesting that moving to a cleaner environment does not necessarily improve overall quality of life if social infrastructure is lacking. The study emphasizes that displacement creates new forms of inequality that are not captured by traditional redlining analyses.

The authors stress that their findings add complexity to the understanding of how socio-economic and environmental factors shape health and quality of life. Ajibade states that policymakers and planners must look beyond the narrow lens of redlining to build healthier and more equitable cities. The study offers a data-driven approach to identifying where inequities persist and how targeted investments in tree planting, housing improvements, health interventions, and disaster-risk reduction can make the biggest difference. While the research focused on Portland, the team hopes that these methods will be applied to other cities across the United States to address similar challenges.

The work was supported by the National Science Foundation. The study underscores the need for a more comprehensive approach to urban planning that accounts for the evolving nature of inequality. By integrating historical context with modern data, the researchers provide a framework for understanding how past discrimination interacts with current economic and environmental trends. This approach allows for a more accurate assessment of where interventions are needed most, ensuring that efforts to reduce inequality are both targeted and effective in the face of changing urban landscapes.

Subject of Research: Urban Planning and Environmental Health

Article Title: Today’s urban inequality goes far beyond legacy of ‘redlining,’ study shows

Article References: Today’s urban inequality goes far beyond legacy of ‘redlining,’ study shows. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: urban inequality, redlining, environmental justice, gentrification, Portland, PNAS, Emory University, Washington State University, Today, urban, inequality, goes

The study does not examine Flock cameras directly. Instead, it draws its evidence from two other contested urban technologies: facial recognition systems in Portland, Oregon, and autonomous vehicles in Tempe, Arizona. By tracing how those communities confronted the promised benefits of new tools against risks to privacy, equity, transparency and civil liberties, the researchers built a framework that applies directly to the current Flock controversy. The choice of cases was deliberate. Both technologies arrived in cities amid claims of improved safety and efficiency, and both raised documented concerns about bias, accuracy and the control of sensitive data. The paper, co-authored by Farah Najar Arevalo of Arizona State University and Devon McAslan of Chalmers University of Technology in Sweden, was published on 18 August 2026 under the title Public value mapping in the smart city: Assessing emerging urban technologies.

Timing matters in this research. Miller notes that the technologies investigated in the study were emerging slowly when the work began, before and during the COVID-19 pandemic. Since then, the pace of adoption has accelerated dramatically. These technologies, like facial recognition and Flock, were emerging in baby steps then, and the pace has only ramped up, Miller observes. That acceleration places municipal governments in a difficult position. Cities and towns face pressure from technology companies and law enforcement agencies to adopt systems that promise gains in public safety or operational efficiency, often without the staff or technical expertise needed to understand the full range of trade-offs involved.

That capacity gap is central to the problem the study identifies. Many local governments do not have the capacity or sometimes the expertise to think through how emerging technologies might affect a whole set of values that the community may have, Miller explains. A city might adopt a surveillance system to fight crime, for example, without fully considering its implications for privacy, freedom of expression, racial equity, or how the information it gathers could be shared beyond the agency that collected it. In practice, procurement decisions are frequently made department by department, with police or public works offices evaluating a tool narrowly on its stated function while the broader civic consequences go unexamined until a controversy erupts.

The Portland case illustrates those tensions in concrete detail. Researchers found that facial recognition cameras could offer public-safety benefits, but there was significant uncertainty about the extent of those benefits in an urban environment. At the same time, there were documented concerns about racial and gender bias in the technology, questions about its accuracy, and a lack of transparency about how data would be collected, managed and shared. The uncertainty cut both ways: the promised gains could not be verified, while the potential harms were grounded in documented evidence about how facial recognition performs across demographic groups. That asymmetry proved decisive in how the community weighed its options.

Ultimately, Portland’s response was to ban facial recognition technology in public spaces. The outcome carries a broader lesson for cities confronting Flock cameras and similar systems: technologies marketed as inevitable can be constrained when the community evaluates them through the lens of public values. The ban did not emerge from a single moment of opposition but from a process in which residents and officials examined what the technology was designed to do and what else it might change. That distinction, between a tool’s intended purpose and its full range of effects, is the analytical core of public value mapping and the reason the researchers believe it generalizes across technologies and jurisdictions.

Miller is careful to caution that public value mapping is not a scorecard that automatically tells a community whether to approve or reject a technology. Instead, it is intended to bring government officials and residents together to identify what they value, examine potential benefits and harms, and consider what policies could produce a better outcome. The method treats values such as privacy, equity, transparency and civil liberties not as obstacles to innovation but as legitimate design criteria that a technology deployment either respects or violates. In that sense, it resembles a structured civic deliberation more than a technical audit, and it deliberately shifts the conversation from the artifact itself to the governance choices surrounding it.

Applied to the Flock debate, the framework suggests asking a series of questions before debating the pros and cons of the cameras themselves. What public safety problems actually exist in the community? What privacy sacrifices are people willing to accept? Who controls the data the cameras generate? How long is it retained? Who can access it? And, crucially, do the answers align with the community’s stated values? These questions expose the fault lines that often remain hidden in polarized debates, where opponents and supporters talk past each other about the device rather than about the data governance regime built around it. The study asserts that those conversations should take place across government silos and with the public before a controversy erupts, not after.

The stakes of getting this process right are considerable. License plate reader networks create searchable databases of vehicle movements, and controversies over data-sharing agreements between municipalities, private companies and out-of-state law enforcement agencies have made Flock cameras a national flashpoint over privacy, surveillance and policing. A framework that forces explicit answers to questions of retention, access and control could change how such contracts are negotiated, disclosed and audited. It could also reshape the market itself, since vendors respond to the procurement standards that cities set. If communities demand transparency about data flows as a condition of adoption, the terms of deployment shift from a take-it-or-leave-it pitch to a negotiated public arrangement.

Miller says the goal is not to reject innovation but to approach it deliberately, ensuring that technological advancements do not come at the expense of values a community is trying to protect. Technology, he argues, is not destiny: communities can have a say in how it is adopted, regulated and used. We shape technologies every day in all sorts of ways, Miller adds. The question is, can we do so with more intention? For hundreds of cities now weighing Flock cameras, facial recognition and the next wave of smart-city tools, that question may define whether emerging surveillance infrastructure is governed by default settings written elsewhere or by the deliberate choices of the people it watches.

Subject of Research: Public value mapping for assessing emerging urban surveillance and smart city technologies

Article Title: Flock cameras put cities at a crossroads. New research offers a roadmap

Article References: Flock cameras put cities at a crossroads. New research offers a roadmap. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: Flock cameras, public value mapping, surveillance, facial recognition, automated license plate readers, urban technology governance, privacy, civil liberties, smart cities, Portland, Tempe, technology policy