Evidence map›Paper›PMID 41503287›Full record

ArticleTransportation research. Part A, Policy and practice2025

Within-day variation in the rebound effect from fuel efficiency standards and implications for road congestion.

Cody Nehiba

Abstract read
In one paragraph

Article in Transportation research. Part A, Policy and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Cody NehibaNational Center for Environmental Economics, US Environmental Protection Agency, 1200 Pennsylvania Avenue, N.W. Washington DC, 20460, United States of America.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Travel demand and congestion fluctuate throughout the day, but temporal heterogeneity in travel demand elasticities is often overlooked. I estimate within-day variation in the fuel economy elasticity of travel demand, illustrating the timing of the rebound effect - when higher fuel efficiency standards increase mileage by decreasing per-mile costs. Using multiple empirical strategies and data sets, I find that drivers are most elastic during peak demand periods that coincide with morning and evening commuting hours. Mode switching for shorter commute trips in areas with low-cost alternatives appears to drive much of the within-day heterogeneity. Further, accounting for temporal heterogeneity in the rebound effect has the potential to determine whether the congestion costs of a fuel economy improvement exceed the pollution benefits.

Indexed as

CongestionD62Energy efficiencyFuel economy standardsQ41Q58R41Rebound effectTravel demand

Identifiers

PMID41503287
PMCPMC12771549

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.