{"title":"私人交通排放的社会人口维度","authors":"G. Besagni, M. Borgarello","doi":"10.3280/efe2020-001002","DOIUrl":null,"url":null,"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 increas-ing 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 ap-proaches, 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 ex-isting discussion regarding relationships between the household/socio-demographic character-istics 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.","PeriodicalId":38445,"journal":{"name":"Economics and Policy of Energy and the Environment","volume":"1 1","pages":"13-24"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The socio-demographic dimensions of the private transportation emissions\",\"authors\":\"G. Besagni, M. Borgarello\",\"doi\":\"10.3280/efe2020-001002\",\"DOIUrl\":null,\"url\":null,\"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 increas-ing 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 ap-proaches, 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 ex-isting discussion regarding relationships between the household/socio-demographic character-istics 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.\",\"PeriodicalId\":38445,\"journal\":{\"name\":\"Economics and Policy of Energy and the Environment\",\"volume\":\"1 1\",\"pages\":\"13-24\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Economics and Policy of Energy and the Environment\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3280/efe2020-001002\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Economics, Econometrics and Finance\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economics and Policy of Energy and the Environment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3280/efe2020-001002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
The socio-demographic dimensions of the private transportation emissions
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 increas-ing 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 ap-proaches, 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 ex-isting discussion regarding relationships between the household/socio-demographic character-istics 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.