The document proposes developing an interactive liveability map to visualize and compare neighborhoods across cities. The map would use public and private data sources to measure indicators of vitality and liveability for neighborhoods. Vitality would examine density, land use diversity, and transportation access. Liveability would measure satisfaction of services like education and healthcare by comparing supply to demand. The visualization would allow comparisons across neighborhoods and cities through customizable graphs and maps.

1. Neighbourhood
Liveability Map
ESTER PANTALEO
Consultant for the Digital Transformation Team
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- under development -

2. Resources
• public datasets
• data from social media, sensors and
mobile phones
Data analytics
• Indicators
For the Public Administrations
• evidence-informed policymaking
• monitoring data, geographical areas,
ratio supply/demand of services
• study the impact of policies
For citizens
• accessibility to data (transparency)
—
Idea

3. What
• Interactive visualization with maps and
graphs (e.g., histograms) of
neighbourhoods in different cities
• Dashboard for each neighbourhood
How
• Comparable across neighbourhoods,
across cities
• Scalable (to new cities)
• Interpretable (of course)
• Usable with heterogeneous data sources
—
Idea

4. Demo Visualisation
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5. Measuring vitality
“To promote urban life in large cities, the physical environment
should be characterized by diversity at both the district and
street level. Diversity, in turn, requires four essential conditions:
(i) mixed land uses, that is, districts should serve more than
two primary functions, and that would attract people who have
different purposes;
(ii) small blocks, which promote contact opportunities among
people;
(iii) buildings diverse in terms of age and form, which make
it possible to mix high-rent and low-rent tenants;
(iv) sufficient dense concentration of people and buildings”*
Layers
• density of employed people
• average number of storeys in
buildings
• … relative proportion of 3-rd places
• … intersections density
• … closeness to highways
—
Vitality
* “The Death and Life of Great Italian Cities: A Mobile Phone Data Perspective” (by Bruno Kessler Foundation, Sorbonne Universités, Bell
Labs Cambridge, Università di Trento)

6. Measuring liveability
• liveability: average level of demand
satisfaction of a service in a
neighbourhood (ratio supply/demand)
• demand
• geolocalized (sezioni di censimento ISTAT)
• eventually stratified by age (scuola
primaria, scuole secondarie)
• supply (service)
• geolocalized
• eventually with a scale (e.g., school
capacity)
• propagation and normalisation (gaussian
kernel, L1, L2, L∞ norm depending on the
service)
Layers
• transportation
• health (Pharmacies)
• education (Schools)
• …
—
Liveability

7. Ester Pantaleo
Consultant for the Digital
Transformation Team
esterpantaleo@gmail.com
Davide Veronese
Consultant for the Digital
Transformation Team
d.v.davideveronese@gmail.com
Maria Claudia Bodino
Digital Transformation Team
mariaclaudia@teamdigitale.governo.it
Cristina Menghini
Consultant for Digital Transformation
Team
cricri.menghini@gmail.com
Grazie!
Contribute to this project!
• as a user (or a PA)
• with datasets
• with data models
• with questions that need answers
through data
Google Group - Open Data & Analytics
https://groups.google.com/a/
teamdigitale.governo.it/forum/?hl=it#!forum/
data
Twitter
#DatiPubblici #DAF
Website
http://teamdigitale.governo.it

8. italia/daf-mappa-quartiere
esterpantaleo/daf-server
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Github