Computing 15MinCityIndexes on the Basis of Open Data and Services

Despite of the large discussions in the area of city strategies, the effective compliance assessment of each city area with respect to 15-Minute City concepts are still not clear in terms of computation. A huge amount of aspects have to be taken into account, such as: Housing, Govern, Safety, Culture and Cults Services, Environment, Slow Mobility, Fast Mobility, Sport, Economy/sustainability, Food, Health, Education, Services, Entertainment. Each of them may be assessed by taking into account a large number of factors and features. In this paper, 15MinCityIndexes model and its computability approach have been proposed. The proposed model is based on 13 different functions and addressed several features. In addition, the model has been produced by using a method that can be exploited to add more factors and details to the model when other kind of data may be available instead of those we found in our case. It has been produced and validated on Florence metro area which includes multiple cities and rural areas. The model and tools are accessible on a public online dashboard. The 15MinCityIndex approach described in this paper conquered the first place award and grant of the international ENEL-X open data challenge 2020.