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Urban Sci. 2018, 2(3), 91; https://doi.org/10.3390/urbansci2030091

Measuring Urban Renewal: A Dual Kernel Density Estimation to Assess the Intensity of Building Renovation—Case Study in Lisbon

1
ISTAR-IUL, Instituto Universitário de Lisboa (ISCTE-IUL) Avenida das Forças Armadas, 1649-026 Lisboa, Portugal
2
ISTAR-IUL and VITRUVIUS FABLAB and DINAMIA-IUL, Instituto Universitário de Lisboa (ISCTE-IUL), Avenida das Forças Armadas, 1649-026 Lisboa, Portugal
*
Author to whom correspondence should be addressed.
Received: 31 July 2018 / Revised: 15 September 2018 / Accepted: 17 September 2018 / Published: 19 September 2018
(This article belongs to the Special Issue Formalizing Urban Methodologies)
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Abstract

In the cities of post-industrialized countries, renovation is the main part of building construction activity and has a major urban impact. Measuring this ongoing phenomenon and its distribution is of great usefulness for municipality urban planning and public policies. In this context, it is essential to introduce tools and processes that can allow for describing and predict how building renovation evolves. Open databases have become a valuable resource for observing processes and interactions in urban context. Data-driven analysis methods were used to directly interact with open city data, thus aiming to propose an alternative building renovation approach based on data gathering, parametric modeling, and visualization. Kernel Density Estimation (KDE) is an efficient tool that overcomes incomplete data, as not all renovation is reported to city halls. This article presents a preliminary study on a method of measuring building renovation intensity using the city of Lisbon building permit alphanumerical and spatial database as a case study. View Full-Text
Keywords: building renovation; dual kernel density estimation; Lisbon building renovation; dual kernel density estimation; Lisbon
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Brandão, F.J.S.; Correia, R.M.; Paio, A. Measuring Urban Renewal: A Dual Kernel Density Estimation to Assess the Intensity of Building Renovation—Case Study in Lisbon. Urban Sci. 2018, 2, 91.

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