A pair of surviving rowhomes surrounded by vacant lots at dusk in Baltimore. The city has some 17,000 vacant buildings. (Patrick Semansky/AP)
Budavari and Phil Garboden, a doctoral student in sociology and applied math, are working on a statistical tool to predict abandonment. They’re combining publicly available data with GIS technology to create a database of the city’s housing stock. This will serve as a base to do high-level statistical analyses that can help officials make better, data-driven evaluations of current and future interventions. It could help Baltimore study, among other things, when and why homes are abandoned, and at what point a vacant home starts affecting nearby properties.
Source: Can Big Data Predict Housing Abandonment? – CityLab
Reducing blight and preventing its spread is best achieved when the solution incorporates the interest and input of active and engaged citizens. Whether it’s reporting abandoned houses to local authorities via an app or participating in public meetings to find the best way cities or neighborhoods can utilize vacant lots, solving these problems is best served from the bottom-up.
Technology is helping citizen engagement find a solution to urban decay. And many cities are starting to harness innovative civic tech products to begin to repair and rebuild some of the country’s most severely affected areas.
via Restoring the Concrete Jungle: How to Address Urban Blight in 2015 – TechWire.net.