Urbanization, legacies of elite capture, and multi-dimensional exclusions in Ghana: towards just housing and neighborhood policies in African cities

Persisting housing challenges in Africa’s cities are often theorized as driven by rapid demographic expansion outstripping housing supply or by the urbanization of poverty which puts the cost of adequate and serviced housing beyond the reach of many urban dwellers. This theorization links the problem of inadequate supply and low quality of housing to ahistorical, apolitical factors such as the size and income/poverty characteristics of Africa’s urban population and ignores legacies of elite capture and multi-dimensional exclusions reflected in policies and practices. Yet these policies and practices shape urban governance and who gains access to land, housing finance and ultimately serviced housing and neighborhoods. Drawing on a review of policies, media sources and literature on housing in Ghana and taking a critical postcolonial institutional theoretic approach, we argue that a more complete conceptualization of Africa’s urban housing crises should involve a close look at the regressive historical patterns of urban investments and persisting elite biases in institutions managing land, finance and housing. This re-framing of housing problems creates a more holistic framework and better articulates the unjust foundations of regressive and exclusionary policies and practices. Further, it highlights elite capture and multi-dimensional exclusions that perpetuate current housing and service failure in African cities. An explicit focus on power, exclusion and injustice is necessary to formulate and advocate alternative policies that are more likely to produce inclusive livable housing and neighborhoods. These include moratoriums on evictions, expanded slum upgrading, progressive property and land taxation, more inclusive planning systems, better regulation of rental housing and improved delivery of land and finance for transit oriented affordable public and rental housing

The electric vehicle transition: a blessing or a curse for improving extractive industries and mineral supply chains?

Concern is growing that new mineral demand pressures associated with transport electrification will exacerbate existing supply chain sustainability and resiliency risks and escalate global environmental injustices. In response, private and public actors in the extractive sector have signaled that they are retooling mineral production, sourcing and stewardship governance systems, practices, and processes to meet the sustainability demands of the electric vehicle (EV) transition. Currently, however, the specific components of many of these initiatives remain less well known, with little scholarly review of their potential to address the longstanding systemic deficiencies in mineral supply chains. Instead, research and policy conversations are oriented largely towards what can be described as a demand-reduction approach, focused on minimizing the intensity of metal mining as a strategy for ensuring the sustainability imperatives of the transition. This Perspective argues that 1) the EV transition offers a critical impetus for tackling head-on longstanding systemic deficiencies in responsible global mineral production, sourcing, and stewardship 2) addressing the deficiencies will also better position mineral demand-reduction measures to yield their intended sustainability outcomes and 3) historically, new initiatives introduced to reform the extractive sector rarely address the root problems that first gave impetus to the initiatives. Accordingly, questions about retooling existing mineral procurement governance systems, practices and processes should be an integral part of EV transition research. It recommends moving research, policy, action, and investment towards prioritizing addressing persisting systemic deficiencies in global mineral supply chains as part of strategies for ensuring ethical transport decarbonization

Accessibility across transport modes and residential developments in Nairobi

A key goal of urban transportation planning is to provide people with access to a greater number of opportunities for interaction with people and places. Measures of accessibility are gaining attention globally for use in planning, yet few studies measure accessibility in cities in low-income countries, and even fewer incorporate semi-formal bus systems, also called paratransit. Drawing on rich datasets available for Nairobi, Kenya this analysis quantifies place-based accessibility for walking, paratransit, and driving using three different measures: a mobility measure quantifying how many other locations in Nairobi can be reached in 60 min, a contour measure quantifying the number of health facilities that can be reached in 60 min, and a gravity measure quantifying the number of health facilities weighted by a time-decay function. Health facilities are used because they are an essential service that people need physical access to and as a representation of the spatial distribution of activities more broadly. The findings show that place-based accessibility is highest for driving, then paratransit, then walking, and that there are high levels of access to health facilities near the Central Business District (CBD) for all modes. Additionally, paratransit accessibility is comparatively better in the contour and gravity measures, which may mean that paratransit is efficiently providing access based on the spatial distribution of services. The contour measure results are also compared across different residential levels, which are grouped based on neighborhood characteristics and ordered by income. Counterintuitively, the wealthiest areas have very low levels of place-based accessibility for all modes, while poor areas have comparatively better walking access to health facilities. Interestingly, the medium low residential level, characterized in part by tenement apartment buildings, has significantly higher accessibility than other residential types. One way to reduce inequality in access across income groups is to increase spatial accessibility for the modes used by low- and middle-income households, for example with policies that prioritize public transport and non-motorized travel, integrate paratransit with land use development, and provide safe, efficient, and affordable options

Compound risks and complex emergencies require new approaches to preparedness

Increasingly, we face compounding and interrelated environmental, socioeconomic, and political crises. Yet our approaches to these problems are often siloed, fragmented, and inadequate. The current pandemic, for instance, continues to collide with a number of other threats to human life and livelihoods. These include violent conflicts, displacement, insect swarms, droughts, heat waves, and structural inequality in the form of racism and gender discrimination. We believe we are at a critical juncture, faced with a need and responsibility to redesign institutions to be proactive, agile, and socially just when confronted with increasingly likely compound risks

Advancing equitable partnerships: frontline community visions for coastal resiliency knowledge co-production, social cohesion, and environmental justice

Community-based organizations (CBOs) in frontline coastal communities grapple with social and environmental injustices compounded by climate change risks. In response, CBOs have developed deep expertise in climate adaptation tailored to their local communities. Yet these groups are often effectively excluded from resilience planning processes that are top-down and involve perfunctory and often performative consultations. This paper asks: What do community leaders seek from adaptation planning, and how do they recommend such processes be improved? Drawing on the experiences of ten CBOs in coastal New York and New Jersey, the majority representing BIPOC environmental justice communities, this article advances community-driven priorities for coastal resilience planning outcomes and processes. We conducted structured 60–90-minute interviews with ten CBO leaders between February-March 2022, collaboratively completed an iterative content analysis of the interview data and community plans, and workshopped core findings in multiple sessions and conversations with participating CBOs through early 2024. CBO leaders had consensus on resilience planning priorities: they oppose top-down approaches where planners bring a predetermined agenda, and seek true partnership through a relational approach that values grassroots perspectives to co-produce equitable and just strategies to address climate risk. Recommendations for decision-makers center on the need to build on existing community-led plans, invest in community leadership within planning processes, act with transparency to foster trust, partnership and co-planning with communities, and self-evaluate their practice. Lessons for researchers seeking to support community leadership within resilience planning include the need to establish lasting and mutually supportive relationships with community partners to enable knowledge co-production

Spatial variation of fine particulate matter levels in Nairobi before and during the COVID-19 curfew: implications for environmental justice

Abstract: The temporary decrease of fine particulate matter (PM2.5) concentrations in many parts of the world due to the COVID-19 lockdown spurred discussions on urban air pollution and health. However there has been little focus on sub-Saharan Africa, as few African cities have air quality monitors and if they do, these data are often not publicly available. Spatial differentials of changes in PM2.5 concentrations as a result of COVID also remain largely unstudied. To address this gap, we use a serendipitous mobile air quality monitoring deployment of eight Sensirion SPS 30 sensors on motorbikes in the city of Nairobi starting on 16 March 2020, before a COVID-19 curfew was imposed on 25 March and continuing until 5 May 2020. We developed a random-forest model to estimate PM2.5 surfaces for the entire city of Nairobi before and during the COVID-19 curfew. The highest PM2.5 concentrations during both periods were observed in the poor neighborhoods of Kariobangi, Mathare, Umoja, and Dandora, located to the east of the city center. Changes in PM2.5 were heterogeneous over space. PM2.5 concentrations increased during the curfew in rapidly urbanizing, the lower-middle-class neighborhoods of Kahawa, Kasarani, and Ruaraka, likely because residents switched from LPG to biomass fuels due to loss of income. Our results indicate that COVID-19 and policies to address it may have exacerbated existing air pollution inequalities in the city of Nairobi. The quantitative results are preliminary, due to sampling limitations and measurement uncertainties, as the available data came exclusively from low-cost sensors. This research serves to highlight that spatial data that is essential for understanding structural inequalities reflected in uneven air pollution burdens and differential impacts of events like the COVID pandemic. With the help of carefully deployed low-cost sensors with improved spatial sampling and at least one reference-quality monitor for calibration, we can collect data that is critical for developing targeted interventions that address environmental injustice in the African context

Meta-analysis of genome-wide association studies from the CHARGE consortium identifies common variants associated with carotid intima media thickness and plaque

Carotid intima media thickness (cIMT) and plaque determined by ultrasonography are established measures of subclinical atherosclerosis that each predicts future cardiovascular disease events. We conducted a meta-analysis of genome-wide association data in 31,211 participants of European ancestry from nine large studies in the setting of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. We then sought additional evidence to support our findings among 11,273 individuals using data from seven additional studies. In the combined meta-analysis, we identified three genomic regions associated with common carotid intima media thickness and two different regions associated with the presence of carotid plaque (P < 5 × 10 -8). The associated SNPs mapped in or near genes related to cellular signaling, lipid metabolism and blood pressure homeostasis, and two of the regions were associated with coronary artery disease (P < 0.006) in the Coronary Artery Disease Genome-Wide Replication and Meta-Analysis (CARDIoGRAM) consortium. Our findings may provide new insight into pathways leading to subclinical atherosclerosis and subsequent cardiovascular events

Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis.

Multiple sclerosis is a common disease of the central nervous system in which the interplay between inflammatory and neurodegenerative processes typically results in intermittent neurological disturbance followed by progressive accumulation of disability. Epidemiological studies have shown that genetic factors are primarily responsible for the substantially increased frequency of the disease seen in the relatives of affected individuals, and systematic attempts to identify linkage in multiplex families have confirmed that variation within the major histocompatibility complex (MHC) exerts the greatest individual effect on risk. Modestly powered genome-wide association studies (GWAS) have enabled more than 20 additional risk loci to be identified and have shown that multiple variants exerting modest individual effects have a key role in disease susceptibility. Most of the genetic architecture underlying susceptibility to the disease remains to be defined and is anticipated to require the analysis of sample sizes that are beyond the numbers currently available to individual research groups. In a collaborative GWAS involving 9,772 cases of European descent collected by 23 research groups working in 15 different countries, we have replicated almost all of the previously suggested associations and identified at least a further 29 novel susceptibility loci. Within the MHC we have refined the identity of the HLA-DRB1 risk alleles and confirmed that variation in the HLA-A gene underlies the independent protective effect attributable to the class I region. Immunologically relevant genes are significantly overrepresented among those mapping close to the identified loci and particularly implicate T-helper-cell differentiation in the pathogenesis of multiple sclerosis