Evidence map›Paper›PMID 37095105›Full record

ArticleNature communications2023

The effect of sustainable mobility transition policies on cumulative urban transport emissions and energy demand.

Lisa Winkler, Drew Pearce, Jenny Nelson, Oytun Babacan

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Micro-PEMS Based on OBD and MOX Sensors.Sensors (Basel, Switzerland) · 2026
    Article
  2. Rethinking energy transition strategies for the European Union amid rising energy prices.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

4 authors.

Lisa WinklerDepartment of Physics, Imperial College London, London, UK. lisa.winkler17@alumni.imperial.ac.uk.ORCID http://orcid.org/0000-0002-6861-0046
Drew PearceDepartment of Physics, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-4533-1463
Jenny NelsonDepartment of Physics, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-1048-1330
Oytun BabacanGrantham Institute - Climate Change and the Environment, Imperial College London, London, UK. oytun.babacan@brunel.ac.uk.ORCID http://orcid.org/0000-0001-9141-8872

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing urban transport sector presents towns and cities with an escalating challenge in the reduction of their greenhouse gas emissions. Here we assess the effectiveness of several widely considered policy options (electrification, light-weighting, retrofitting, scrapping, regulated manufacturing standards and modal shift) in achieving the transition to sustainable urban mobility in terms of their emissions and energy impact until 2050. Our analysis investigates the severity of actions needed to comply with Paris compliant regional sub-sectoral carbon budgets. We introduce the Urban Transport Policy Model (UTPM) for passenger car fleets and use London as an urban case study to show that current policies are insufficient to meet climate targets. We conclude that, as well as implementation of emission-reducing changes in vehicle design, a rapid and large-scale reduction in car use is necessary to meet stringent carbon budgets and avoid high energy demand. Yet, without increased consensus in sub-national and sectoral carbon budgets, the scale of reduction necessary stays uncertain. Nevertheless, it is certain we need to act urgently and intensively across all policy mechanisms available as well as developing new policy options.

Identifiers

PMID37095105
PMCPMC10125996

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.