Many cities are continuously working towards enhancing the quality of life for citizens. This includes addressing problems such as access to basic services including waste management and clean water, energy, housing, transportation and more. In addition to all these vital initiatives, they are helping to improve the livability of their neighborhoods by addressing nuisances like noise pollution.
In this part of the Geospatial Keynote from HxGN LIVE 2017, Mladen discusses how cities are looking to address growing levels of noise pollution. Many cities still use traditional GIS techniques to understand the impacts of noise pollution, but they are not getting the accurate information they need in a quick enough amount of time to properly address the issue.
Mladen shows an example of a typical GIS solution used in Stuttgart, Germany. Stuttgart has a 245 km rail network that runs through the city and contributes to noise pollution. The example from his keynote shows multiple static layers of data stacked on top of each other. But by the time you collect, analyze, map, and portray the data, it is months – or even years – out of date.
Next, Mladen discusses the possibilities when you combine new content, dynamic feeds, live GPS feeds, and analytics to create a new information experience. Moving beyond a static GIS, you are able to see a 3D representation that more accurately depicts real life and helps determine the impacts from noise pollution with relation to the building height and what floor you live on. You’re also able to determine the impacts of air pollution from traffic that builds up while the trains are running.