I found an interesting post from Frank Jacobs on how to create a fingerprint of a city. It is based on a paper from Rémi Louf and Marc Barthelemy that was published in arXiv in October 2014. From the post: Thanks to Big Data, a new “Science of Cities” is emerging. Urban processes that until now could
Every city has its neighborhoods, cliques and clubs, the hidden lines that join and divide people in the same town. What can we learn about cities by looking at what people share online? Starting with his own home town of Baltimore, Dave Troy has been visualizing what the tweets of city dwellers reveal about who
João Barros, the former national director of the Carnegie Mellon Portugal program, and Susana Sargento, a professor at Portugal’s University of Aveiro, have launched Veniam, a startup that harnesses public transportation fleets to deliver Wi-Fi access to citizens. More and more cars are equipped with internet access, and the internet-of-things adds more devices to the internet
The Ericson Consumer Labs recently published a new report on how the internet facilitates smart choices in city life. The online study was conducted in September 2014 with 9,030 iPhone and Android smartphone users aged between 15 and 69. Respondents were from Beijing, Delhi, London, NewYork, Paris, Rome, São Paulo, Stockholm and Tokyo, representing 61 million citizens. The
WaagSociety published their CitySDK Cookbook. About the CitySDK: CitySDK is a “service development kit” for cities and developers that aims at harmonizing application programming interfaces (APIs) across cities. CitySDK APIs enable new services and applications to be rapidly developed, scaled and reused through providing a range of tools and information for both cities and developers. CitySDK
The Tagesschau (a german news show) published a slide show of the most expensive high rises in the world. It is an interesting overview of great architecture. The subtitles are in German only, but the pictures alone are worth it.
New predictive technologies and analytics are on the rise and also cities can profit from them. These technologies incorporate such elements as big data and machine learning to identify patterns that governments can use to make predictions in various aspects of everyday life. So how can cities and jurisdictions can use them to anticipate the