In the countries of Latin America and the Caribbean, national governments are overwhelmed by the quantitative and qualitative housing deficits. In most countries it would take at least 50 years of sustained investments to just ease the quantitative deficit. The solution seems like a gigantic task. This situation requires a more active role of the municipalities in the provision … [Read more...] about Municipalities and social housing: urban financing tools to alleviate the deficit
Urban machine learning model: automatic classification of buildings and structures
City planners often lack updated digital maps of existing buildings and structures. The Building Detection Model can automatically generate a basic map of buildings from satellite images. It uses semantic segmentation, which is the process of assigning each pixel in an image into a category; in this case, the categories are ‘building’ or ‘not building’. This allows planners to … [Read more...] about Urban machine learning model: automatic classification of buildings and structures
Smarter and More Sustainable Cities in Latin America? We Must Learn to Buy Better
In a roundtable on the most pressing challenges for our cities, a colleague challenged us with the following question: “Do you believe that cities can buy their sustainability?” Between stunned looks and expressions of disbelief, we could not reach a conclusion. The truth is that, as Latin America is one of the most urbanized regions of the world, every decision taken by a … [Read more...] about Smarter and More Sustainable Cities in Latin America? We Must Learn to Buy Better
Open code: urban growth prediction by analyzing satellite images
While urban growth prediction models are not new, they have historically required significant resources in time, expertise, and calculations. That’s why we have developed this open code of urban growth prediction. The model automates this process, allowing urban planners to spatially extrapolate the growth of their city under different scenarios (e.g., future population size, … [Read more...] about Open code: urban growth prediction by analyzing satellite images
OpenStreetMap Extraction tool: generating neighborhood-level maps
Considering the digital revolution, Latin American and Caribbean cities should be poised to generate, analyze, and disseminate urban data. Yet, all too often, our partners do not have the tools necessary for delivering urban services to informal areas, identifying and allocating lands best suited for development while protecting at-risk areas, and working with individual … [Read more...] about OpenStreetMap Extraction tool: generating neighborhood-level maps