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A Complex Network Approach for the Estimation of the Energy Demand of Electric Mobility

Overview of attention for article published in Scientific Reports, January 2018
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Article details
Title
A Complex Network Approach for the Estimation of the Energy Demand of Electric Mobility
Published in
Scientific Reports, January 2018
DOI 10.1038/s41598-017-17838-5
Pubmed ID
Authors
Abstract

We study how renewable energy impacts regional infrastructures considering the full deployment of electric mobility at that scale. We use the Sardinia Island in Italy as a paradigmatic case study of a semi-closed system both by energy and mobility point of view. Human mobility patterns are estimated by means of census data listing the mobility dynamics of about 700,000 vehicles, the energy demand is estimated by modeling the charging behavior of electric vehicle owners. Here we show that current renewable energy production of Sardinia is able to sustain the commuter mobility even in the theoretical case of a full switch from internal combustion vehicles to electric ones. Centrality measures from network theory on the reconstructed network of commuter trips allows to identify the most important areas (hubs) involved in regional mobility. The analysis of the expected energy flows reveals long-range effects on infrastructures outside metropolitan areas and points out that the most relevant unbalances are caused by spatial segregation between production and consumption areas. Finally, results suggest the adoption of planning actions supporting the installation of renewable energy plants in areas mostly involved by the commuting mobility, avoiding spatial segregation between consumption and generation areas.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 17 24%
Researcher 10 14%
Student > Doctoral Student 6 8%
Student > Master 6 8%
Student > Bachelor 4 6%
Other 6 8%
Unknown 23 32%
Readers by discipline
Readers by discipline Count As %
Engineering 19 26%
Energy 6 8%
Physics and Astronomy 4 6%
Computer Science 3 4%
Arts and Humanities 3 4%
Other 12 17%
Unknown 25 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 January 2018.
All research outputs
#20,838,766
of 32,879,975 outputs
Outputs from Scientific Reports
#94,361
of 178,160 outputs
Outputs of similar age
#280,832
of 486,397 outputs
Outputs of similar age from Scientific Reports
#2,414
of 4,231 outputs
Altmetric has tracked 32,879,975 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 178,160 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 486,397 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,231 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.