daniel otero peña landscape research, urban design, architecture, and teaching.
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mexico city resource efficiency Advancing Urban Metabolism studies through GIS data. Mexico City, Mexico. 2019 - 2021
Institutions: UCLouvain + University of Reading ///. Research team: Daniel Otero Peña, Daniela Perrotti, and Eugene Mohareb ///. Publication: Journal of Industrial Ecology.
Based on the premise that integrating spatially explicit Urban Metabolism (UM) data in urban planning can leverage resource-efficient development and management of open space networks, this research project presents a methodological strategy to integrate geographic information systems (GIS) data analysis within a UM framework. To this end, a GIS-based UM assessment of Mexico City was performed at the city scale, including data on vulnerable communities, communal lands, and indigenous areas. After mapping selected GIS layers, a detailed resource-efficiency analysis was performed through the compilation of a Borough Pattern Scan, based on quantification of resource use, total areas of resource infrastructure, and public open spaces. The results of our multiscale spatially explicit analysis provide an improved understanding of borough metabolic profiles, which can leverage a more resource-efficient development of open space networks in Mexico City.
Tenochtitlan mural by Diego Rivera, 1945.
Water flows and infrastructure in Mexico City.
Borough pattern scan analysis by type of flow.
More information here.
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