On Sustainability of Urban Italian Mobility

被引：0

作者：

Schoier, Gabriella ^{[1
]}

Borruso, Giuseppe ^{[1
]}

Dedemo, Beatrice ^{[1
]}

机构：

[1] Univ Trieste, DEAMS Dept Econ Business Math & Stat Sci Bruno de, Tigor 22, I-34100 Trieste, Italy

来源：

COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2021, PT VI | 2021年 / 12954卷

关键词：

Spatial data mining; MFA; FactoMineR; Big data; MULTIPLE FACTOR-ANALYSIS;

D O I：

10.1007/978-3-030-86979-3_46

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The aim of this paper is to analyze the problem of the sustainability of the urban transport in Italian provinces. After defining what we mean for sustainable mobility we individuate some indicators to obtain a measure of it. The methodology used in this paper is the Multiple Factor Analysis (MFA). This method is applied to tables in which a set of individuals is described by a set of variables and the variables are organized into groups. We have applied the MFA to the choosen indicators for Italian cities in the year 2019. This method of analysis allows to identify two main dimensions that describe more than 58% of the variability of sustainability of transports in Italian cities.

引用

页码：658 / 669

页数：12

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