ArticleTransport policy2022
Australia 6 months after COVID-19 restrictions part 2: The impact of working from home.
Article in Transport policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed, 51 citations in OpenAlex.
- Feeding Practices Used by Australian Parents of Young Children Living With Food Insecurity and Household Chaos.Maternal & child nutrition · 2025Article
- Accounting for the spatial incidence of working from home in an integrated transport and land model system.Transportation research. Part A, Policy and practice · 2023Article
- Telework and MaaS adoption in a post-pandemic scenario. Evidence from municipal employees of Padua, Italy.Case studies on transport policy · 2023Article
- A social-ecological model of working from home during COVID-19.Transportation · 2023Article
- The impact of COVID-19 and working from home on the workspace retained at the main location office space and the future use of satellite offices.Transport policy · 2023Article
- Factors influencing delays and overtime during surgery: a descriptive analytics for high volume arthroplasty procedures.Frontiers in surgery · 2023Article
- Desire to work from home: Results of an Irish study.Journal of transport geography · 2022Article
- The impact of working from home on modal commuting choice response during COVID-19: Implications for two metropolitan areas in Australia.Transportation research. Part A, Policy and practice · 2022Article
- Impact of COVID-19 on the number of days working from home and commuting travel: A cross-cultural comparison between Australia, South America and South Africa.Journal of transport geography · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper (Part 2 in the paper series), building on earlier studies examining the Australian response, extends on findings related to travel activity, commuting, and attitudes towards COVID-19 measures (Part 1 in the paper series). In this paper we focus in detail on the impact of, and experiences with, working from home (WFH), perhaps the largest of the positive unintended consequence of the pandemic, with respect to transport, and a key lens through which the changing patterns in travel activity and attitudes discussed in Part 1 need to be understood. We conclude that through the widespread adoption of WFH as a result of nationwide public health orders, there is evidence emerging that WFH is now seen as an appealing instrument of change by employees and employers, there is growing support to continue to support WFH into the future. This represents a significant potential contribution to the future management of the transport network, especially in larger metropolitan areas. We also discuss policy implications of this result and what the international community may take from the Australian experience.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.