It is known that the transportation sector accounts for a considerable share of the emissions and the primary energy consumption of the countries as a whole, thus determining an increasing attention towards the decarbonisation pathways of the transportation sectors. The energy consumption at the country-scale can be interpreted as the integral of the socio-demographic layer and the behavior spectrum. Thus, ad-hoc policy schemes need to rely on multi-scale approaches, describing the household-scale and, subsequently, scaling-up towards the country- scale. In this long-term aim and perspective, the present communication contributes to the existing discussion regarding relationships between the household/socio-demographic characteristics and the transportation patterns. In particular, focusing on the Italian case study, this communication explores the relationships between the household/socio-demographic variables and the carbon dioxide emissions related to the private transportation sector. To this end, this paper build on micro-data obtained by the Italian Institute of statistics and it applies a four-step statistical method to select suitable variables, explore the significant determinants and perform an household segmentation. It is found that the geographic area (in terms of the macro-scale as well as the micro-scale geographic locations) as well as income-related variables are likely to be factors influencing the carbon dioxide emissions related to the private transportation sector.

The socio-demographic dimensions of the private transportation emissions

Besagni G.;
2021-01-01

Abstract

It is known that the transportation sector accounts for a considerable share of the emissions and the primary energy consumption of the countries as a whole, thus determining an increasing attention towards the decarbonisation pathways of the transportation sectors. The energy consumption at the country-scale can be interpreted as the integral of the socio-demographic layer and the behavior spectrum. Thus, ad-hoc policy schemes need to rely on multi-scale approaches, describing the household-scale and, subsequently, scaling-up towards the country- scale. In this long-term aim and perspective, the present communication contributes to the existing discussion regarding relationships between the household/socio-demographic characteristics and the transportation patterns. In particular, focusing on the Italian case study, this communication explores the relationships between the household/socio-demographic variables and the carbon dioxide emissions related to the private transportation sector. To this end, this paper build on micro-data obtained by the Italian Institute of statistics and it applies a four-step statistical method to select suitable variables, explore the significant determinants and perform an household segmentation. It is found that the geographic area (in terms of the macro-scale as well as the micro-scale geographic locations) as well as income-related variables are likely to be factors influencing the carbon dioxide emissions related to the private transportation sector.
2021
Carbon dioxide emissions
Private transportation sector
Residential sector
Sociodemographics
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1179529
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