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  1. Rising infrastructure inequalities accompany urbanization and economic development

    Abstract Impending global urban population growth is expected to occur with considerable infrastructure expansion. However, our understanding of attendant infrastructure inequalities is limited, highlighting a critical knowledge gap in the sustainable development implications of urbanization. Using satellite data from 2000 to 2019, we examine country-level population-adjusted biases in infrastructure distribution within and between regions of varying urbanization levels and derive four key findings. First, we find long-run positive associations between infrastructure inequalities and both urbanization and economic development. Second, our estimates highlight increasing infrastructure inequalities across most of the countries examined. Third, we find greater future infrastructure inequality increases in the global south, where inequalities will rise more in countries with substantial urban primacy. Fourth, we find that infrastructure inequality may evolve differently than economic inequalities. Overall, advancing sustainable development vis-à-vis urbanization and economic development will require intentional infrastructure planning for spatial equity.

  2. Infrastructure inequality is a characteristic of urbanization

    Urbanization can challenge sustainable development if it produces unequal outcomes. Infrastructure is an important urbanization dimension, providing services to support diverse urban activities. However, it can lock in unequal outcomes due to its durable nature. This paper studies inequalities in infrastructure distributions to derive insights into the structure and characteristics of unequal outcomes associated with urbanization. We analyzed infrastructure inequalities in two emerging economies in the Global South: India and South Africa. We developed and applied an inequality measure to understand the structure of inequality in infrastructure provisioning (based on census data) and infrastructure availability (based on satellite nighttime lights [NTLs] data). Consistent with differences in economic inequality, results show greater inequalities in South Africa than in India and greater urban inequalities than rural inequalities. Nevertheless, inequalities in urban infrastructure provisioning and infrastructure availability increase from finer to coarser spatial scales. NTL-based inequality measurements additionally show that inequalities are more concentrated at coarse spatial scales in India than in South Africa. Finally, results show that urban inequalities in infrastructure provisioning covary with urbanization levels conceptualized as a multidimensional phenomenon, including demographic, economic, and infrastructural dimensions. Similarly, inequalities in urban infrastructure availability increase monotonically with infrastructure development levels and urban population size. Together, these findings underscore infrastructure inequalities as a feature of urbanization and suggest that understanding urban inequalities requires applying an inequality lens to urbanization.

  3. Satellite Data Applications for Sustainable Energy Transitions

    Transitioning to a sustainable energy system poses a massive challenge to communities, nations, and the global economy in the next decade and beyond. A growing portfolio of satellite data products is available to support this transition. Satellite data complement other information sources to provide a more complete picture of the global energy system, often with continuous spatial coverage over targeted areas or even the entire Earth. We find that satellite data are already being applied to a wide range of energy issues with varying information needs, from planning and operation of renewable energy projects, to tracking changing patterns in energy access and use, to monitoring environmental impacts and verifying the effectiveness of emissions reduction efforts. While satellite data could play a larger role throughout the policy and planning lifecycle, there are technical, social, and structural barriers to their increased use. We conclude with a discussion of opportunities for satellite data applications to energy and recommendations for research to maximize the value of satellite data for sustainable energy transitions.

  4. Global scenarios of urban density and its impacts on building energy use through 2050

    Here, urban areas play a significant role in planetary sustainability. While the scale of impending urbanization is well acknowledged, we have a limited understanding on how urban forms will change and what their impact will be on building energy use. Using both top-down and bottom-up approaches and scenarios, we examine building energy use, specifically, for heating and cooling. We also assess associated cobenefits and trade-offs with human well-being. Globally, the energy use for heating and cooling by midcentury will reach anywhere from about 45 EJ/yr to 59 EJ/yr (respectively, increases of 5% to 40% over the 2010 estimate). Most of this variability is due to the uncertainty in future urban forms of rapidly growing cities in Asia and, particularly, in China. Compact urban development overall leads to less energy use in urban environments. Delaying the retrofit of the existing built environment leads to more savings in building energy use. Potential for savings in the energy use is greatest in China when coupled with efficiency gains. Advanced efficiency makes the least difference compared to the business-as-usual scenario in energy use for heating and cooling in South Asia and Sub-Saharan Africa but significantly contribute to energy savings in North America and Europe. A systemic effort that focuses on both urban form and energy-efficient technologies, but also accounts for potential co-benefits and trade-offs, can contribute to both local and global sustainability. Particularly in mega-urban regions, such efforts can improve local environments for billions of urban residents and contribute to mitigating climate change by reducing energy use in urban areas and associated greenhouse gas emissions.


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"Seto, Karen C."

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