Evidence map›Paper›PMID 34840440›Full record

ArticleTransportation research. Part A, Policy and practice2022

The impact of working from home on modal commuting choice response during COVID-19: Implications for two metropolitan areas in Australia.

David A Hensher, Camila Balbontin, Matthew J Beck, Edward Wei

Open access · greenAbstract read
In one paragraph

Article in Transportation research. Part A, Policy and practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
18.4field-weighted citation impact, top 1% of its field
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

16 citing papers in PubMed, 86 citations in OpenAlex.

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  11. Potential long-term effects of Covid-19 on telecommuting and environment: An Italian case-study.Transportation research. Part D, Transport and environment · 2022
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  13. Advanced modelling of commuter choice model and work from home during COVID-19 restrictions in Australia.Transportation research. Part E, Logistics and transportation review · 2022
    Article
  14. Article
  15. Managing public transit during a pandemic: The trade-off between safety and mobility.Transportation research. Part C, Emerging technologies · 2022
    Article
  16. Article
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 at 1 institution in 1 country.

David A HensherInstitute of Transport and Logistics Studies (ITLS), The University of Sydney Business School, Sydney, NSW 2006, Australia.
Camila BalbontinInstitute of Transport and Logistics Studies (ITLS), The University of Sydney Business School, Sydney, NSW 2006, Australia.
Matthew J BeckInstitute of Transport and Logistics Studies (ITLS), The University of Sydney Business School, Sydney, NSW 2006, Australia.
Edward WeiInstitute of Transport and Logistics Studies (ITLS), The University of Sydney Business School, Sydney, NSW 2006, Australia.
University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The need to recognise and account for the influence of working from home on commuting activity has never been so real as a result of the COVID-19 pandemic. Not only does this change the performance of the transport network, it also means that the way in which transport modellers and planners use models estimated on a typical weekday of travel and expand it up to the week and the year must be questioned and appropriately revised to adjust for the quantum of working from home. Although teleworking is not a new phenomenon, what is new is the ferocity by which it has been imposed on individuals throughout the world, and the expectation that working from home is no longer a temporary phenomenon but one that is likely to continue to some non-marginal extent given its acceptance and revealed preferences from both many employees and employ where working from home makes good sense. This paper formalises the relationship between working from home and commuting by day of the week and time of day for two large metropolitan areas in Australia, Brisbane and Sydney, using a mixed logit choice model, identifying the influences on such choices together with a mapping model between the probability of working from home and socioeconomic and other contextual influences that are commonly used in strategic transport models to predict demand for various modes by location. The findings, based on Wave 3 (approximately 6 months from the initial outbreak of the pandemic) of an ongoing data collection exercise, provide the first formal evidence for Australia in enabling transport planners to adjust their predicted modal shares and overall modal travel activity for the presence of working from home.

Indexed as

Australian experienceCommuter mode choiceCOVID-19ElasticitiesMixed logit modelSegment mapping for WFH propensityValue of timeWorking from home

Identifiers

PMID34840440
PMCPMC8608599
OpenAlexW3215234628

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.