Like most of the US, California grapples with road safety. With ever larger cars clogging busy urban roads California seeks innovative solutions to curb traffic crashes and reduce congestion.
Among many efforts to improve the road network and our behavior, significant opportunities might be found in the application of artificial intelligence (AI) to these problems. By utilizing AI's capabilities to analyze road networks, dangerous driving behavior, and other crucial factors, we might be on the brink of a revolution in road safety practices.
Last week, DCR was honored to be invited to be part of a discussion, between a Finnish Smart City business and research delegation and the City of LA, to talk about opportunities to decarbonize Los Angeles. The event took place at the Finnish Consulate in Los Angeles. In the words of the Finnish delegation, an important aim of their visit was to "introduce Finnish solutions that decarbonize cities, focusing on energy, the electrification of transit, green construction and smart building management, and lastly digitalization to combine and leverage data for improving city services and planning."
Highways, freeways and railways are physical barriers, often dividing our communities – splitting a city in parts. The question is if such division has an effect on the demographic and socioeconomic composition. One may also wonder if such differences were already in place before the road was built, and if they are possibly accentuated over time?
Below are statistical comparisons for a selection of cities, in California, where a freeway cuts through in roughly equal parts (A and B).
Understanding the patterns and trends for real estate valuations is important for: city planning, identifying demographic imbalances and in revealing investment opportunities. Visualizing this data in maps provides accessible insights that are otherwise difficult to gain.
