A GIS-Based Fuzzy Multiclassification Framework Applied for Spatiotemporal Analysis of Phenomena in Urban Contexts

被引:2
|
作者
Cardone, Barbara [1 ]
Di Martino, Ferdinando [1 ,2 ]
机构
[1] Univ Napoli Federico II, Dipartimento Architettura, Via Toledo 402, I-80134 Naples, Italy
[2] Univ Napoli Federico II, Ctr Ric Interdipartimentale Alberto Calza Bini, Via Toledo 402, I-80134 Naples, Italy
关键词
multiple classification; categories; fuzzy partition; fuzzy relevance; GIS-based framework;
D O I
10.3390/info13050248
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this research, we propose a GIS-based framework implementing a fuzzy-based document classification method aimed at classifying urban areas by the type of criticality inherent or specific problems highlighted by citizens. The urban study area is divided into subzones; for each subzone, the reports of citizens relating to specific criticalities are analyzed and documents are created, and collected by topic and by temporal extension. The framework implements a model applied to the multiclassification of the documents in which the topic to be analyzed is divided into categories and a dictionary of terms connected to each category is built to measure the relevance of the category in the document. The framework produces, for each time frame, thematic maps of the relevance of a category in a time frame in which a subzone of the study area is classified based on the classification of the corresponding document. The framework was experimented on to analyze and monitor over time the relevance of disruptions detected by users in entities that make up urban areas, such as: roads, private buildings, public buildings and transport infrastructures, lighting networks, and public green areas. The study area is the city of Naples (Italy), partitioned in ten municipalities. The results of the tests show that the proposed framework can be a support for decision makers in analyzing the relevance of categories into which a topic is partitioned and their evolution over time.
引用
收藏
页数:14
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