Staying on the Smart Side. Measuring the Smart Communities

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SIS Scientific Meeting 2014 Cagliari Jun 11,13 Staying On The Smart Side. Measuring The Smart Communities Mariagrazia Dotoli, Vincenzo Patruno, Luigi Ranieri, Aldo Scarnera

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A novel framework for measuring city smartness and city performances

Transcript of Staying on the Smart Side. Measuring the Smart Communities

Page 1: Staying on the Smart Side. Measuring the Smart Communities

SIS Scientific Meeting 2014 Cagliari Jun 11,13

Staying On The Smart Side.

Measuring The Smart Communities Mariagrazia Dotoli, Vincenzo Patruno, Luigi Ranieri, Aldo Scarnera

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A Smart City enable us to monitor,

understand, analyze, and plan the

city improving efficiency, reducing

costs, generate savings, improving

equity and quality of life for its

citizens

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City Indicators

Decision support tool for policy makers (to

define city policies)

Better communicate city performance to city

users (citizens, visitors) and potential

investors

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Measuring the smartness

of a city

is a complex issue. There does not exist

a set of indicators for measuring the

performance of a city that is valid in each

context and for each purpose

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A harmonized approach is preferable and

encouraged so that an effective comparison

is allowed on a national or international

basis

today no universal rule exists in the choice

of an appropriate set of indicators, neither a

methodological taxonomy and classification

has occurred so far

but

http://www.smart-cities.eu/download/smart_cities_final_report.pdf

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Es: Green spaces per person (m²)

http://www.icitylab.it/

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Cc-by 2014 Vincenzo Patruno

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Cc-by 2014 Vincenzo Patruno

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Poetto, CA - Cc-by 2014 Vincenzo Patruno

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The idea is to propose a novel conceptual

framework for smart city indicators

classification, which puts both the human

perspective and the technological content at

the heart of the classification and selection

process

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Objective

refers to indicators which look at the city

physical infrastructure (e.g. public transport network capillarity), urban assets (e.g.

green space share) and conditions of the general context (e.g.

air quality).

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includes indicators which tend to measure

the citizens satisfaction and well-being.

The subjective indicators represent a useful

addition and complement to the objective

ones. (Es: satisfaction with quality of schools, satisfaction with

transparency of bureaucracy. )

Subjective

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The importance of the subjective indicators

is to allow to achieve a more complete and

articulated vision of the measured system

than by the single use of objective

indicators

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http://www.smart-cities.eu/download/smart_cities_final_report.pdf

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Cinema attendance

per inhabitant;

Museums visits per

inhabitant;

Theatre attendance

per inhabitant.

Smart Living:

Satisfaction with quality

of health system;

Satisfaction with

personal housing

situation;

Satisfaction with access

to educational system;

Satisfaction with quality

of educational system.

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The framework is being tested as a tool for

developing indicators to monitor the smart city

initiatives in the municipality of Bari (Italy).

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@vincpatruno

[email protected]

Aggràssias!

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1. traditional tools: indicators are computed by analysis and

manipulation of the observed variables and data in a

traditional repository;

2. innovative tools based on data sensing and mining of

physical infrastructure: indicators computation is based on

the collection and analytics of machine-sensed data (e.g.

smart grid energy consumption through power meter);

3. innovative tools based on data sensing and mining of

social infrastructure: indicators are computed collecting

the digital footprints and applying to them complex

analytics as knowledge discovery and data mining (e.g.,

service satisfaction level deduced from social networks).