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Travel Behaviour and Society
Article . 2020 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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A bottom-up study on the relationships between transportation expenditures and socio-demographic variables: Evidences from the Italian case study

Authors: Besagni G.; Borgarello M.;

A bottom-up study on the relationships between transportation expenditures and socio-demographic variables: Evidences from the Italian case study

Abstract

Abstract A precise understanding of the relationships between the household characteristics and the transportation expenditures is of paramount importance to support bottom-up policies, aiming at defining decarbonisation pathways keeping into account the household budget constraints. Despite the considerable amount of research activities carried out during the last decades, an agreement regarding the factors influencing the transportation expenditures is far from being reached. This paper contributes to the present-day discussion, focusing on the Italian case study, by analyzing the relationships between the private, public and total transportation expenditure and the socio-demographic and geographical dimensions. The impact that the household characteristics have on the transportation expenditures have been explored by coupling (a) the ordinary least squares method, to determine the relationship between the variables, (b) the variance inflation factor, to check for multicollinearity issues, (c) the least absolute shrinkage and selection operator, to select variable. Subsequently, a segmentation of the Italian households is proposed, by using a segmentation-tree approach and the outcomes of the previous analysis. 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 transportation expenditures. These observations may serve as bottom-layer for the forthcoming studies regarding decarbonisation of the transportation sector, considering also the household budget constraints.

Country
Italy
Related Organizations
Keywords

Household segmentation, Lasso regression, Transportation expenditure, Socio-demographics, Residential sector, Multicollinearity

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    11
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Top 10%
Green