Preprint Article Version 1 This version is not peer-reviewed

A New Fuzzy Rule-based Model to Partition a Complex Urban System in Homogeneous Urban Contexts

Version 1 : Received: 2 October 2018 / Approved: 4 October 2018 / Online: 4 October 2018 (11:55:09 CEST)

A peer-reviewed article of this Preprint also exists.

Cardone, B.; Di Martino, F. A New Geospatial Model Integrating a Fuzzy Rule-Based System in a GIS Platform to Partition a Complex Urban System in Homogeneous Urban Contexts. Geosciences 2018, 8, 440. Cardone, B.; Di Martino, F. A New Geospatial Model Integrating a Fuzzy Rule-Based System in a GIS Platform to Partition a Complex Urban System in Homogeneous Urban Contexts. Geosciences 2018, 8, 440.

Journal reference: Geosciences 2018, 8, 440
DOI: 10.3390/geosciences8120440

Abstract

We present a new unsupervised method aimed to obtain a partition of a complex urban system in homogenous urban areas, called urban contexts. The area of study is initially partitioned in microzones, homogeneous portion of the urban system, that are the atomic reference elements for the census data. With the contribution of domain experts, we identify the physical, morphological, environmental and socio-economic indicators need to identify synthetic characteristics of urban contexts and create the fuzzy rule set necessary to determine the type of urban context. We implement the set of spatial analysis processes necessary to calculate the indicators for microzone and apply a Mamdani fuzzy rule system to classify the microzones. Finally, the partition of the area of study in urban contexts is obtained by dissolving continuous microzones belonging to the same type of urban context. Tests are performed on the Municipality of Pozzuoli (Naples - Italy); the reliability of out model is measured by comparing the results with the ones obtained by detailed analysis.

Subject Areas

urban system; urban context; microzone, fuzzy rule set; Mamdani fuzzy system; spatial database, GIS

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