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Mathematics can assist cities in addressing unstructured neighborhoods
OAK RIDGE, Tenn., Aug. 29, 2018—New mathematical models developed by the Department of Energy’s Oak Ridge National Laboratory with collaborators at Sam Houston State University and the University of Chicago can help guide changes to the layout of poor urban neighborhoods to improve access to resources with minimum disruption and cost.
The researchers established a novel way to mathematically analyze poor and informally developed urban communities, revealing obstacles between unplanned areas and the infrastructure that provides resources for basic human necessities. In their paper published in Science Advances, they used satellite imagery and municipal data to develop mathematical algorithms that reveal slums and planned neighborhood are fundamentally different.
Their models clearly identify distinctions between the informal arrangement of underserviced urban areas and the formal structure of city neighborhoods. In two case studies, the researchers used real-world data to show that the physical layout of some unplanned neighborhoods does not allow space for sewer lines, roads or water pipes.
Of the estimated four billion people currently living in urban areas worldwide, approximately one billion reside in slums. With inadequate infrastructure for health, sanitation and access to emergency services, these areas are becoming humanitarian and sustainability issues in the wake of rapid urbanization. Christa Brelsford, an ORNL Liane Russell Fellow and lead author, believes this research can transform the future of slums.
“For me, this research was an opportunity to look at cities from a new and exciting mathematical perspective,” Brelsford said. “By putting these tools in the hands of local community organizations and residents, efforts for accessible infrastructure empower residents to make decisions about their neighborhoods and communities.”
“Anything we can do to improve lives from a human rights perspective is both good for the world and also supports U.S. national security, because the more people have their basic needs met, the more secure we all are,” she added.
Although underserved communities are the first application, the researchers’ algorithm provides a mathematical way of describing all cities. The team used a novel topological technique, based on connections between places, to characterize the first-time slums rather than a traditional geometric approach.
“By understanding the fundamental topology—the relationship between places of residence and work to urban infrastructure networks—we can determine parts of cities remain only incipiently connected,” said coauthor Luís Bettencourt, director of the Mansueto Institute for Urban Innovation at the University of Chicago.
“It is a situation that can be mapped, measured and resolved with minimal interference to create new people-centered urban planning solutions and cities that have history and character,” he added.
The study, published as “Towards Cities without Slums: Topology and the Spatial Evolution of Neighborhoods,” was supported by a Bill & Melinda Gates Foundation grant (OPP1076282) to Slum Dwellers International, which has collected census style urban data, and the Santa Fe Institute, SFI, which has extensive experience developing a new science of cities.
Other funding sources include ORNL’s Laboratory Directed Research and Development program, the MacArthur Foundation (13-105749-000-USP) and the Army Research Office Minerva program AQ11 (W911NF1210097).
Coauthors included Taylor Martin of Sam Houston State University and Joe Hand of SFI. Brelsford is part of ORNL’s Computational Sciences and Engineering Division.
UT-Battelle manages ORNL for DOE’s Office of Science. The Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit science.energy.gov. – By Shelby Whitehead
Caption 1: Christa Brelsford, Liane B. Russell Fellow of Oak Ridge National Laboratory, discusses that topology--not geometry--dictates the essential spatial form of cities, which can lead to analytical tools to identify slum neighborhoods that could be used to address deficits in infrastructure and services. Credit: Butch Newton and Christa Brelsford/Oak Ridge National Laboratory, U.S. Dept. of Energy; Nicholas de Monchaux, UC Berkeley; and Luis Bettencourt, University of Chicago
Caption 2: This video demonstrates the topological equivalence between cities or sections of cities, so long as there are the same number of blocks. The research team shows how part of Hell’s Kitchen in Manhattan can be deformed first into the Summerlin neighborhood in Las Vegas, Nevada, and finally into a small part of Dharavi in Mumbai. Credit: Nicholas de Monchaux, UC Berkeley; Christa Brelsford/Oak Ridge National Laboratory, U.S. Dept. of Energy, and Luis Bettencourt, University of Chicago
Video 3: https://youtu.be/foB8fzWLG9o
Caption 3: Ncediswa Notywala describes how community organizers are integrating map based technology with local knowledge in order to support slum dwellers in their cities and communities, as they solve their own problems through better information and better social and economic connectivity. Credit: Anni Beukes and James Tayler for Know Your City TV, a project of Slum Dwellers International (SDI)
Caption 1: This graphic of a South African neighborhood is overlaid with colors that indicate the number of obstacles between a home and access to resources. Credit: Christa Brelsford/Oak Ridge National Laboratory, U.S. Dept. of Energy; Luis Bettencourt, University of Chicago
Caption 2: Christa Brelsford of ORNL, left, and Taylor Martin of Sam Houston State University hope to improve humanity using the novel algorithm they developed to describe all cities. Credit: Carlos Jones/Oak Ridge National Laboratory, U.S. Dept. of Energy
Caption 3: Taylor Martin of Sam Houston State University, left, and Christa Brelsford of ORNL discuss a graphic of an urban area with colors that indicate the number of obstacles between a home and access to resources. Credit: Carlos Jones/Oak Ridge National Laboratory, U.S. Dept. of Energy
Caption 4: Luis Bettencourt of the University of Chicago, left, and ORNL’s Christa Brelsford collaborate at the Santa Fe Institute. Credit: Laura Egley Taylor