Calculating carbon emissions from personal travelling: insights from a top-down analysis of key calculators

Bekaroo, Girish; Roopowa, Divesh; Zakari, Abubakar; Niemeier, Deb

doi:10.1007/s11356-020-11179-z

Cited by 5 publications

(4 citation statements)

References 66 publications

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“…; thus, regional urbanization is expected to have a positive effect on the carbon emission intensity. 5 Greening level (Gr it ), represented by the per capita park green area (square meter/person). The greater the value of Gr it , the higher the greening level.…”

Section: Variable Selectionmentioning

confidence: 99%

“…With the increase in the attention being paid by various countries to carbon emission reduction, studies on this issue have gradually become more common in the field of environmental economics. Existing studies on carbon emission reduction mainly approach the issue from four perspectives: firstly, they measure carbon emissions using different methods [4][5][6]; secondly, most studies focus on the relations between regional economic development and carbon emissions, and the conclusions vary depending on the subject [7][8][9][10][11]; thirdly, recent studies have analyzed the factors affecting regional carbon emissions, finding that population size [12,13], industrial structure [14,15], environmental regulation [16,17] and urbanization [18,19] all have a significant impact; fourthly, the distributional characteristics in geography and space of carbon emissions have been analyzed, with most studies finding that the regional carbon emissions show spatial heterogeneity [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

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Impact of the Marketization of Industrial Land Transfer on Regional Carbon Emission Intensity: Evidence from China

Peng

Wang

2023

Land

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With the implementation of deep-market-oriented reforms in China, an accurate interpretation of the effect and transmission mechanism of the marketization of industrial land transfer on carbon emission reduction can provide references for further elevating the role of land policy in China’s low-carbon economic transition. Based on the balanced panel data of China’s provincial level from 2009 to 2020, this paper uses carbon emission intensity to quantify emission reduction targets, and studies the effects of the marketization of industrial land transfer on regional carbon emission intensity, as well as its internal mechanism, by describing the typical characteristics. Moreover, this paper analyzes the moderating role of environmental governance and conducts area heterogeneity analysis. The main results show that (1) the marketization of industrial land transfer can significantly reduce regional carbon emission intensity, and the negative effect is stronger in the mid-west compared with the effect in the east. (2) Environmental governance can play a positive moderating role in the relationship between the marketization of industrial land transfer and the carbon emission intensity. (3) Industry selection is the internal mechanism by which the effect of the marketization of industrial land transfer on regional carbon emission intensity operates, and the mechanism is represented more prominently in the mid-west. The main conclusions provide inspiration for land policy regulation in relation to carbon emission reduction. China’s local governments should implement specific strategies to improve the market-based operation mechanism of land, attracting industries with high energy efficiency and low carbon emissions, and strengthening the intensity of environmental governance.

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Section: Variable Selectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impact of the Marketization of Industrial Land Transfer on Regional Carbon Emission Intensity: Evidence from China

Peng

Wang

2023

Land

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“…Published literature focuses on presenting developed tools and disseminating findings related to application of carbon footprint calculators in various sectors, rather than addressing how to embed intelligence in such tools. A recent study conducted a top-down analysis of personal travelling-based carbon calculators to examine limitations of such tools and recommend features to improve such tools [11]. Among the existing travel-based carbon calculators, CarbonoCero calculates the tons of CO2 emitted by the flights of its users [12] where end-users are required to enter the airport of embarkation and final destination, number of passengers/seats, and the class they would be flying in, i.e.…”

Section: Related Workmentioning

confidence: 99%

“…Consequently, such calculators are tedious for the users who only wish to determine their travel-based carbon emissions, as these tools also require various other details that are inconsequential to transport. In addition to requiring extensive manual input from users, some of these calculators also request specific technical details, such as one's vehicle engine model and year, which may be discouraging to users and hinder them from utilizing such tools [11]. Due to these restrictions, there is a necessity for the creation of a newer calculator that is solely transport based and automates most of the input, ultimately facilitating carbon footprint calculation by incorporating technologies such as GPS.…”

Section: Introductionmentioning

confidence: 99%

An Automated Personal Carbon Footprint Calculator for Estimating Carbon Emissions from Transportation Use

Ajufo

Bekaroo

2021

Proceedings of the International Conference on Artificial Intelligence and Its Applications

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Employee mobility and service-related management in the carbon footprint of services—German case studies

Pelzeter

2022

Int J Life Cycle Assess

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Purpose In a service society, the assessment of climate-relevant environmental impacts of services is of increased importance. In the few Product Category Rules (PCRs) for cleaning services available to date, it is noticeable that employee mobility and service-related management are excluded from the assessment. This practice is critically questioned in the following study. The aim is to show that a calculation of the carbon footprint of services that integrates employee mobility and service-related management provides a better basis for finding ways to reduce their environmental impact. Methods Key figures on the CO2e emissions of services are examined in exemplary case studies using the example of cleaning, maintenance and reception with regard to the possible share of emissions caused by employee mobility and service-related management activities. For the case studies located in Germany, characteristic values of the equipment, operating materials or mobility used for the service are obtained from available Environmental Product Declarations (EPDs). In the absence of EPDs, a simplified estimate is made according to the VERUM method based on the proportion of materials in the product. The case studies compare the carbon footprint of a service by omitting and including employee mobility and service-related management. Results The analysed case studies show an impact share between 32 and 69% for employee mobility and between 10 and 26% for service-related management activities in an integrated carbon footprint of services. The emissions caused by employee mobility and service-related management therefore have a dimension that should not be neglected. Conclusions From these findings, the necessity is derived to include the emissions from the mobility of operational staff and service-related management in future PCRs for services in order to improve the comparability of services. Optimisation efforts of companies must also start at these points of the service organisation.

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Calculating carbon emissions from personal travelling: insights from a top-down analysis of key calculators

Cited by 5 publications

References 66 publications

Impact of the Marketization of Industrial Land Transfer on Regional Carbon Emission Intensity: Evidence from China

Impact of the Marketization of Industrial Land Transfer on Regional Carbon Emission Intensity: Evidence from China

An Automated Personal Carbon Footprint Calculator for Estimating Carbon Emissions from Transportation Use

Employee mobility and service-related management in the carbon footprint of services—German case studies

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