Quantifying how a zone is residential

A Multi-Criteria Decision Making approach


  • simone guarino Università Campus Bio-Medico di Roma
  • Camilla Fioravanti Università Campus Bio-Medico di Roma
  • Gabriele Oliva
  • Roberto Setola Università Campus Bio-Medico di Roma
  • Giovanni DeAngelis Space Systems Solutions
  • Marcello Coradini Space Systems Solutions



Parole chiave:

covid-19, pandemic, geomatics, residential area, eumap, multicriteria


The COVID-19 pandemic has had an unprecedented impact on various aspects of our lives, including education, work
dynamics, and social interactions. Dealing with the provision of building utilities in such circumstances has become a formidable challenge. During lockdowns, it becomes crucial to allocate resources strategically, giving priority to residential areas over commercial and financial districts based on population density. Identifying residential areas is of utmost importance
not only for effective emergency response during natural disasters but also for ensuring fair distribution of electricity and
gas when resources are scarce. However, accurately delineating residential zones is challenging due to the intricate nature of
urban landscapes.
This paper aims to discuss a comprehensive indicator that utilizes open-source intelligence and incorporates a multi-criteria
decision-making framework to assess the likelihood of an area being residential.

This indicator will greatly assist in optimizing resource allocation for power, gas, and water distribution. To demonstrate
the effectiveness of the proposed approach, a case study conducted in Nicosia, Cyprus, is presented.

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Come citare

guarino, simone, Fioravanti, C., Oliva, G., Setola, R., DeAngelis, G., & Coradini, M. (2023). Quantifying how a zone is residential : A Multi-Criteria Decision Making approach. GEOmedia, 27(3). https://doi.org/10.48258.3