Evidence map›Paper›PMID 34518723›Full record

ArticleEnergy (Oxford, England)2022

A multi-disciplinary approach to estimate the medium-term impact of COVID-19 on transport and energy: A case study for Italy.

Davide Bazzana, Jed J Cohen, Nicolò Golinucci, Manfred Hafner, Michel Noussan, Johannes Reichl, Matteo Vincenzo Rocco, Alessandro Sciullo, Sergio Vergalli

Abstract read
In one paragraph

Article in Energy (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Davide BazzanaFondazione Eni Enrico Mattei, Milano, Italy.
Jed J CohenSalt River Project, Integrated System Planning and Support, Tempe, Arizona, USA.
Nicolò GolinucciFondazione Eni Enrico Mattei, Milano, Italy.
Manfred HafnerFondazione Eni Enrico Mattei, Milano, Italy.
Michel NoussanFondazione Eni Enrico Mattei, Milano, Italy.
Johannes ReichlEnergieinstitut an der Johannes Kepler Universität Linz, Linz, Austria.
Matteo Vincenzo RoccoPolitecnico di Milano, Milano, Italy.
Alessandro SciulloIRES Piemonte - Istituto di Ricerche Economico Sociali del Piemonte, Torino, Italy.
Sergio VergalliFondazione Eni Enrico Mattei, Milano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this paper is to estimate the potential impacts of different COVID-19 scenarios on the Italian energy sector through 2030, with a specific focus on transport and industry. The analysis takes a multi-disciplinary approach to properly consider the complex interactions of sectors across Italy. This approach includes the assessment of economic conditions using macroeconomic and input-output models, modelling the evolution of the energy system using an energy and transport model, and forecasting the reaction of travel demand and modal choice using econometric models and expert interviews. Results show that the effect of COVID-19 pandemic may lead to mid-term effects on energy consumption. The medium scenario, which assumes a stop of the emergency by the end of 2021, shows that energy-related emissions remain 10% lower than the baseline in the industry sector and 6% lower in the transport sector by 2030, when compared with a pre-COVID trend. Policy recommendations to support a green recovery are discussed in light of the results.

Indexed as

CO2 emissionsCOVID-19Energy systemsIntegrated-modelsItalyMulti-disciplinary

Identifiers

PMID34518723
PMCPMC8426115

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.