City Of Boston Research Articles

Implementation of Neighborhood-Level Wastewater-Based Epidemiology to Measure and Mitigate Inequities in SARS-CoV-2 Infection in Boston, Massachusetts.

Starting October 2022, the Boston Public Health Commission implemented a neighborhood-level wastewater-based epidemiology program to inform strategies to reduce COVID-19 inequities. We collected samples twice weekly at 11 neighborhood sites, covering approximately 18% of Boston, Massachusetts's population. Results from the program's first year revealed inequities unobservable in regional wastewater data both between the City of Boston and the greater Boston area and between Boston neighborhoods. We report program results and neighborhood-specific recommendations and resources to help residents interpret and use our findings. (Am J Public Health. Published online ahead of print August 8, 2024:e1-e5. https://doi.org/10.2105/AJPH.2024.307749).

Under The Law: Recent developments in the quest for racial diversity in K-12 schools

In June 2023, the Supreme Court held that the admissions systems at the University of North Carolina (UNC) and Harvard University were racially discriminatory, effectively ending affirmative action. Are race-neutral admissions policies at selective K-12 schools next? Bob Kim considers two circuit court cases — Coalition for TJ v. Fairfax County School Board and Boston Parent Coalition for Academic Excellence v. City of Boston — in which plaintiffs alleged that schools’ race-neutral admissions policies were discriminatory against Asian American students. In both cases, courts found that the cases were not discriminatory. Although how the Supreme Court might rule if it hears these cases is unclear, the bar for finding policies discriminatory is high, requiring not only a desire to increase diversity but also an intent to harm a particular racial group.

Municipal Compost Public Health, Waste Management, and Urban Agriculture: A Decadal Study of Fugitive Pb in City of Boston, Massachusetts, USA.

Compostable materials constitute roughly half of waste generated globally, but only 5% of waste is actually processed through composting, suggesting that expanding compost programs may be an effective way to process waste. Compostable waste, if properly collected and processed, has value-added end use options including: residential and park landscaping, remediation of brownfield sites, and as growing media in urban agriculture (UA). Since 2001, our lab has partnered with The Food Project, a non-profit focused on youth leadership development through urban farming. From 2006 to 2022 we collected compost materials that were delivered to the farm from a variety of local sources and analyzed a suite of biogeochemical properties including lead (Pb) concentrations, organic carbon, and grain size distribution. Pb concentrations of Boston's municipal compost always exceeded the current City of San Francisco soil and compost purchase standard (80μg/g). In 2012 Boston's composting program was halted when it exceeded the 400μg/g Environmental Protection Agency's Pb in soil benchmark. Urban Pb is geomobile and must be managed to minimize resuspension and transport of fines whose Pb concentration is often elevated compared to bulk compost. Consequently, urban farmers have to source lower Pb compost from suburban suppliers at significantly greater cost. Over a 15 year period and through several city vendor contracts, Pb concentrations in municipal compost remain at levels that warrant continued surveillance and risk assessment.

RESEARCH TO STRENGTHEN, INNOVATE, AND TRANSFORM AGE-FRIENDLY COMMUNITY PRACTICE

Abstract There is much research being conducted to better understand and advance age-friendly community practice. This symposium presents research from leading age-friendly researchers and practitioners across the United States. Drs. Black and Oh provide an analysis of the nation’s sectoral efforts based on progress reported by the age-friendly communities. Drs. Hernandez and Coyle will describe the research and community engagement that led to the development of an aging equity conceptual framework and examples of how it is being operationalized in the City of Boston. Drs. Greenfield and doctoral student Pope will present on a scoping review of studies in the U.S. and Canada on the range of ways in which the public sector participates in age-friendly community efforts. Drs. Coyle and Oh and doctoral students Gleason and Somerville present on a study that explored factors inhibiting communities from officially joining the age-friendly network. Dr. Perry reports on efforts to elevate the voice of older adults on social justice issues pertaining to aging in place in the domain of housing. Individual abstracts provide further detail on each study’s methods and findings.

Abstract PR003: An examination of tobacco and alcohol outlet density in Boston to identify priority areas for cancer prevention efforts using environmental justice mapping

Abstract Background. Inequitable access to health-harming substances in the built environment can create and exacerbate race and SES-based disparities in cancer incidence and mortality. Availability and density of tobacco and alcohol outlets is associated with increased experimentation, initiation, and regular use of alcohol and tobacco products. Prior studies examining the sale of tobacco and alcohol indicate that these outlets tend to be concentrated in communities of color and low-income areas. Massachusetts has highlighted environmental justice (EJ), one’s right to be protected from hazards and live in clean, health-promoting environments, as a priority issue and identified block group populations who are at most risk of environmental burdens. The objective of this study was to (a) examine the distribution of tobacco and alcohol outlets in environmental justice block groups in Boston, and (b) compare outlet density in more deprived neighborhoods to more privileged neighborhoods. Methods. Publicly available licensing lists for tobacco and alcohol retailers with geocoded data were obtained from the City of Boston’s open data hub. Lists were de-duplicated so that retailers that sell both tobacco and alcohol products were only represented once. The environmental justice block group layer (2020) was downloaded from Mass.gov. EJ block groups meet one or more of the following criteria: ‘high minority’ (>40% non-white population), ‘low-income’, or ‘high English isolation.’ ArcGIS Pro software was used to spatially join retailer data to Boston block groups and calculate tobacco and alcohol outlet density (the number of retailers per 1,000 people). Sociodemographic and cancer mortality data from the Health of Boston Report was used to classify neighborhoods as ‘more privileged’ (Back Bay, Beacon Hill, North End, West End) or ‘more deprived’ (Dorchester, Hyde Park, Mattapan, Roslindale, Roxbury). Results. Of the 560 Boston block groups analyzed, 458 (81.8%) were considered environmental justice block groups with 60% of EJ block groups classified as ‘high minority’. There were 931 retailers that sell tobacco or alcohol products for off-premises consumption in Boston, with 86% of these retailers (n=811) located in EJ block groups. On average, tobacco and alcohol outlet density was greater in EJ block groups compared to non-EJ block groups (2.09 vs 1.25 retailers per 1,000 residents). Nearly half (48%) of environmental justice block groups in Boston are located in the most deprived neighborhoods compared to only 3.7% in the most privileged neighborhoods. Tobacco outlet density is significantly higher in deprived neighborhoods compared to privileged neighborhoods (1.25 vs 0.98, p < 0.01). However, alcohol density is lower in more deprived block groups compared to more privileged ones (0.35 vs 0.74, p < 0.01). Conclusion. Environmental justice mapping can be used as a tool to identify areas where cancer prevention efforts may be enhanced by modifying the built environment to reduce clusters of alcohol and tobacco outlets. Citation Format: Lindsay Kephart. An examination of tobacco and alcohol outlet density in Boston to identify priority areas for cancer prevention efforts using environmental justice mapping [abstract]. In: Proceedings of the 16th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2023 Sep 29-Oct 2;Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(12 Suppl):Abstract nr PR003.

Geographical Influences on Job–Housing Balance: A Study of Coastal Urban Areas in Boston

As cities expand, residents are experiencing increasing commuting distances and a growing trend of job–housing separation, which is often associated with traffic congestion, inefficiency in commuting, and air pollution. In the process of studying the urban job–housing balance, most scholars focus on exploring socio-economic indicators, overlooking the more fundamental characteristics—the geographical features and barriers of the city. This paper delves into the intricate dynamics of the job–housing balance in urban areas, focusing on the city of Boston, characterized by its unique geographic and demographic tapestry. Through the job–housing distribution data of over 3 million residents in Boston and a measurement of spatial proximity to natural barriers, we explore the impact of geographic barriers on residential and employment distributions. Our findings reveal a pronounced divergence in employees’ preferences for job and housing locations, with tracts in the margin areas showing higher aggregation of job distributions and those near geographic barriers exhibiting a low job–housing ratio (JHR) index. Using regression models, our study determined that for every 1% increase in proximity to the Atlantic Ocean on Boston’s right side, job opportunities would decrease by 0.102%, and the JHR would experience a reduction of 0.246%. Our findings prove the importance of the effects of natural barriers on the job–housing balance and provide insights into traffic congestion and the uneven distribution of housing supply prices and have significant implications for urban planning and policy formulation, particularly in coastal cities. By exploring the multifaceted nature of urban residency and employment and the role of geographical constraints therein, this paper contributes valuable perspectives for fostering equitable and sustainable urban development.

Facilitating exit from encampments: combining low-barrier transitional housing with stabilizing treatment for substance related problems

BackgroundTent encampments in the neighborhood surrounding Boston Medical Center (BMC) grew to include 336 individuals at points between 2019 and 21, prompting public health concerns. BMC, the City of Boston, and Commonwealth of Massachusetts partnered in 2/2022 to offer low-barrier transitional housing to encampment residents and provide co-located clinical stabilization services for community members with substance use disorders (SUDs) experiencing homelessness.MethodsTo meet the needs of some of the people who had been living in encampments, BMC established in a former hotel: 60 beds of transitional housing, not contingent upon sobriety; and a low-barrier SUD-focused clinic for both housing residents and community members, offering walk-in urgent care, SUD medications, and infection screening/prevention; and a 24/7 short-stay stabilization unit to manage over-intoxication, withdrawal, and complications of substance use (e.g., abscesses, HIV risk, psychosis). A secure medication-dispensing cabinet allows methadone administration for withdrawal management. Housing program key metrics include retention in housing, transition to permanent housing, and engagement in SUD treatment and case management. Clinical program key metrics include patient volume, and rates of initiation of medication for opioid use disorder.ResultsHousing: Between 2/1/22–1/31/2023, 100 people entered the low-barrier transitional housing (new residents admitted as people transitioned out); 50 former encampment residents and 50 unhoused people referred by Boston Public Health Commission. Twenty-five residents transferred to permanent housing, eight administratively discharged, four incarcerated, and four died (two overdoses, two other substance-related). The remaining 59 residents remain housed; none voluntarily returned to homelessness. One hundred residents (100%) engaged with case management, and 49 engaged with SUD treatment. Clinical: In the first 12 months, 1722 patients (drawn from both the housing program and community) had 7468 clinical visits. The most common SUDs were opioid (84%), cocaine (54%) and alcohol (47%) and 61% of patients had a co-occurring mental health diagnosis in the preceding 24-months. 566 (33%) patients were started on methadone and accepted at an Opioid Treatment Program (OTP).ConclusionsDuring the 1st year of operation, low-barrier transitional housing plus clinical stabilization care was a feasible and acceptable model for former encampment residents, 49% of whom engaged with SUD treatment, and 25% of whom transitioned to permanent housing.

Real options analysis for valuation of climate adaptation pathways with application to transit infrastructure.

Climate change and sea-level rise (SLR) are expected to increase the frequency and intensity of coastal flood events, posing risks to coastal communities and infrastructure. While regional climate adaptation investments can provide substantive flood protection, existing plans often neglect uncertainty in future climate conditions and adaptation performance, consequently neglecting the option value of flexibly implementing proposed projects. Addressing this gap, we develop and employ a generalizable real options analysis (ROA) valuation framework that considers how uncertainty in adaptation project costs, SLR, flood severity, and flood losses inform the full range of adaptation performance outcomes. We further propose and apply a novel, computationally efficient flood loss sampling algorithm to estimate the consequences of randomly arriving coastal flood events. We apply this ROA framework to assess the option value of flexibly timing adaptation investments over time, investigating an adaptation pathway proposed by the City of Boston from the perspective of the regional transit system manager. Our results suggest that flexible implementation can provide significant option value in the near- to mid-term (>30 years), with the highest option values under low-probability, high-consequence scenarios. Our results also suggest adaptation pathway performance in the latter half of the 21st century is most sensitive to uncertainty in SLR, flood loss estimates, and flood frequency, underscoring the importance of uncertainty quantification in the long-term valuation of adaptation investments.

Cities in Transition and Urban Innovation Ecosystems: Place and Innovation Dynamics in the Case of Boston and Cambridge (USA)

Urban transition is gaining relevance in the academic and policy debate for rethinking urban development strategies toward resilience and sustainability. The transformative power of innovation and knowledge is called upon to speed up the process. In this paper, we address the issue of urban transition by exploring how the urban innovation ecosystem is a crucial factor in operationalizing city transition strategies. For this scope, we propose a methodological approach to identify the city-level innovation ecosystem by connecting innovation dynamics with urban transformation. The objective is to highlight how transition dynamics are spurred by the urban innovation ecosystem in its maturity stage. Therefore, the paper proposes a case study of the Boston area (the cities of Boston and Cambridge, USA) where it is possible to detect a mature urban innovation ecosystem. The case analysis unveiled the urban characterizing factors of the innovation ecosystem. Here, the concentration of innovation activities stimulates the demand for urban transformations, which are managed through urban planning and zoning and specific supportive policy-planning initiatives.

Between Fires

May 01 2023 Between Fires Melissa Q. Teng Melissa Q. Teng Melissa Q. Teng is a graduate student in the Department of Urban Studies and Planning at MIT, as well as an Artist-in-Residence at the City of Boston. Search for other works by this author on: This Site Google Scholar Author and Article Information Melissa Q. Teng Melissa Q. Teng is a graduate student in the Department of Urban Studies and Planning at MIT, as well as an Artist-in-Residence at the City of Boston. Online ISSN: 2572-7338 Print ISSN: 1091-711X © 2023 Melissa Q. Teng2023Melissa Q. Teng Thresholds (2023) (51): 26–29. https://doi.org/10.1162/thld_a_00786 Cite Icon Cite Permissions Share Icon Share Facebook Twitter LinkedIn MailTo Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Melissa Q. Teng; Between Fires. Thresholds 2023; (51): 26–29. doi: https://doi.org/10.1162/thld_a_00786 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThresholds Search Advanced Search This content is only available as a PDF. © 2023 Melissa Q. Teng2023Melissa Q. Teng Article PDF first page preview Close Modal You do not currently have access to this content.

Spatial access to cooling centers in the city of Boston

Spatial access to cooling centers in the city of Boston

Systematic Social Observation at Scale: Using Crowdsourcing and Computer Vision to Measure Visible Neighborhood Conditions

Analysis of neighborhood environments is important for understanding inequality. Few studies, however, use direct measures of the visible characteristics of neighborhood conditions, despite their theorized importance in shaping individual and community well-being, because collecting data on the physical conditions of places across neighborhoods and cities and over time has required extensive time and labor. The authors introduce systematic social observation at scale (SSO@S), a pipeline for using visual data, crowdsourcing, and computer vision to identify visible characteristics of neighborhoods at a large scale. The authors implement SSO@S on millions of street-level images across three physically distinct cities—Boston, Detroit, and Los Angeles—from 2007 to 2020 to identify trash across space and over time. The authors evaluate the extent to which this approach can be used to assist with systematic coding of street-level imagery through cross-validation and out-of-sample validation, class-activation mapping, and comparisons with other sources of observed neighborhood characteristics. The SSO@S approach produces estimates with high reliability that correlate with some expected demographic characteristics but not others, depending on the city. The authors conclude with an assessment of this approach for measuring visible characteristics of neighborhoods and the implications for methods and research.

Mapping Connections between Neighborhoods in Response to Community-Based Social Needs

Geographic proximity might not be the only factor influencing the connections between neighborhoods within the same city. Most likely, the community’s needs and behaviors play a role in facilitating or hindering any connections between these urban areas. Accordingly, relationships between communities may differ or be similar based on their respective characteristics. This paper aims to demonstrate that communities are close based on the needs they share, regardless of their ethnicity or geographic location. In this study, a time series analysis of neighborhoods’ needs is explored to gain a deeper understanding of the communities’ network. The study takes into account the co-occurrence of complaints/reports from residents regarding the same issue. The dataset was retrieved from the Boston Area Research Initiative (BARI) and the 311 system that describe the features of neighborhoods regarding non-emergency issues. Subsequently, the connection between neighborhoods in the City of Boston was analyzed using a mixture of PCA, K-means, association rule mining, and a network creation tool. Moreover, clustering coefficients and degrees of centrality were used as significant factors in identifying the members of groups and marking crucial nodes in the network. A series of graphs were generated to show how the neighborhoods are linked based on their socioeconomic concerns. The results prove that even geographically disconnected neighborhoods within Boston have similar social needs, despite their distance from one another. Furthermore, it revealed that some neighborhoods can act as linking bridges for other neighborhoods, while others may be isolated within the network graph. This study has increased awareness of urban aspects. The authorities may consider other dimensions than the traditional ones regarding neighborhood development and addressing problems. Finally, it helps to identify common characteristics between neighborhoods, which facilitates the policy making process.

Beyond the Boundaries of Childhood: African American Children in the Antebellum North

Beyond the Boundaries of Childhood: African American Children in the Antebellum North

The Poe Centenary in Boston

The Poe Centenary in Boston

Historic redlining, social mobility, and firearm violence.

Much of the recorded medical literature focuses on individual-level factors that contribute to firearm violence. Recently, studies have highlighted higher incidence of firearm violence in historically redlined and marginalized areas, but few have gone on to study the downstream associations causing these differences. This study aims to understand the effects of historic redlining and current income mobility on firearm violence. Using a retrospective cross-sectional design, shooting incidents were spatially joined with redlining vector files and linked to income mobility data (how much a child makes in adulthood). Participants included all assault and homicide incidents involving a firearm in the city of Boston, between 2016 and 2019. The exposure of interest was redlining designation as outlined by the Home Owner's Loan Corporation (HOLC) in the 1930s and income mobility, stratified by race, defined as the income of a child in their 30s compared with where they grew up (census tract level). The outcome measured was shooting rate per census block. We find that increases in Black income mobility (BIM) and White income mobility (WIM) are associated with significant decreases in rates of firearm incidents in all HOLC designations; however, there is a larger decrease with increasing BIM (relative risk, 0.47 per unit increase in BIM [95% confidence interval, 0.35-0.64]; relative risk, 0.81 per unit increase in WIM [95% confidence interval, 0.71-0.93]). Plotting predicted rates of firearm violence in each HOLC designation at different levels of BIM, there were no significant differences in shooting rates between historically harmful and beneficial classifications above $50,000 of BIM. Despite level of WIM, there were continued disparities between harmful and beneficial HOLC classification. These findings highlight the importance of structural racism in the form of redlining and discriminatory housing policies, and the preclusion from economic mobility therein, on the incidence of firearm violence today. Prognostic and Epidemiological; Level IV.

Combined Eco-Routing and Power-Train Control of Plug-In Hybrid Electric Vehicles in Transportation Networks

We study the problem of eco-routing for Plug-In Hybrid Electric Vehicles (PHEVs) to minimize the overall energy consumption cost. We propose an algorithm which can simultaneously calculate an energy-optimal route (eco-route) for a PHEV and an optimal power-train control strategy over this route. In order to show the effectiveness of our method in practice, we use a HERE Maps API to apply our algorithms based on traffic data in the city of Boston with more than 110,000 links. Moreover, we validate the performance of our eco-routing algorithm using speed profiles collected from a traffic simulator (SUMO) as input to a high-fidelity energy model to calculate energy consumption costs. Our results show significant energy savings (around 12%) for PHEVs with a near real-time execution time for the algorithm.

Rhythm of the streets: a street classification framework based on street activity patterns

As the living tissue connecting urban places, streets play significant roles in driving city development, providing essential access, and promoting human interactions. Understanding street activities and how these activities vary across different streets is critical for designing both efficient and livable streets. However, current street classification frameworks primarily focus on either streets’ functions in transportation networks or their adjacent land uses rather than actual activity patterns, resulting in coarse classifications. This research proposes an activity-based street classification framework to categorize street segments based on their temporal street activity patterns, which is derived from high-resolution de-identified and privacy-enhanced mobility data. We then apply the proposed framework to 18,023 street segments in the City of Boston and reveal 10 distinct activity-based street types (ASTs). These ASTs highlight dynamic street activities on streets, which complements existing street classification frameworks, which focus on the static or transportation characteristics of the street segments. Our results show that a street classification framework based on temporal street activity patterns can identify street categories at a finer granularity than current methods, which can offer useful implications for state-of-the-art urban management and planning. In particular, we find that our classification distinguishes better those streets where crime is more prevalent than current functional or contextual classifications of streets.

Integration of multi-objective spatial optimization and data-driven interpretation to direct the city-wide sustainable promotion of building-based decentralized water technologies

Decentralized water technologies such as rainwater harvesting (RWH) and greywater recycling (GWR) can supplement centralized urban water systems, helping reduce water withdrawal and improve water reliability. These benefits only emerge when decentralized water technologies are widely implemented. Several decision-supporting frameworks have been developed to identify suitable locations for deploying decentralized water technologies in a city. Yet, the support remains inadequate regarding: (1) the evaluation of the trade-off between environmental benefits and economic costs in selecting locations, and (2) the interpretation of the transition of optimal selections from low to high investment to assist in the promotion. This study presents an integrated analytic framework that combines multi-objective optimization and data-driven interpretation to direct the city-wide sustainable promotion of building-based decentralized water technologies. We select single-family houses in the city of Boston and apply the framework to study the promotion of building-based RWH and GWR. The framework starts with multi-objective spatial optimization to identify the non-dominant optimal selections (i.e., Pareto-front) of houses and technologies at the trade-off between maximizing energy savings and minimizing financial investment. Then, we evaluate the impact of the initial selection setting and the community-based maximum water saving constraint on the Pareto-optimal front. The spatial optimization shows that RWH is much more applicable than GWR for single-family house communities in Boston. When interpreting the Pareto-front, two clusters of census blocks stand out based on the change in the percentages of houses selected to invest RWH and GWR in each census block along with different investment levels. One cluster demonstrates its priority of being first selected to deploy RWH. Using Random Forest, critical features explain why one cluster should be selected first for promotion, including the larger demand for non-potable water use, longer distance from the centralized facilities, and larger rooftop for collecting rainwater. Finally, we discuss possible future improvements of the proposed spatial optimization and interpretation framework. Overall, our study can be useful to promote decentralized water technologies in cities.

Mapping the gaps between cooling benefits of urban greenspace and population heat vulnerability

We provide a novel method to assess the heat mitigation impacts of greenspace though studying the mechanisms of ecosystems responsible for benefits and connecting them to heat exposure metrics. We demonstrate how the ecosystem services framework can be integrated into current practices of environmental health research using supply/demand state-of-the-art methods of ecological modeling of urban greenspace. We compared the supply of cooling ecosystem services in Boston measured through an indicator of high resolution evapotranspiration modeling, with the demand for benefits from cooling measured as a heat exposure risk score based on exposure, hazard and population characteristics. The resulting evapotranspiration indicator follows a pattern similar to conventional greenspace indicators based on vegetation abundance, except in warmer areas such as those with higher levels of impervious surface. We identified demand-supply mismatch areas across the city of Boston, some coinciding with affordable housing complexes and long term care facilities. This novel ES-framework provides cross-disciplinary methods to prioritize urban areas where greenspace interventions can have the most impact based on heat-related demand.