Teleworking effects on transportation behaviour in a post-Covid-19 context: 10 case studies from Montréal, Canada
Bibliographic record
Abstract
"Over the last thirty years, advances in internet communication technologies have enabled information-based economic sectors to decentralize their work activities, enabling their employees to adopt teleworking practices on an occasional basis. Simultaneously, growing concerns over the effects of energy consumption on global warming and climate change have led some researchers to explore the potential of teleworking as a travel demand management strategy, based on the assumption that it eliminates commute-related trips on teleworking days. With the onset of the COVID-19 pandemic, a significant proportion of knowledge workers in Canada and around the world started working from home in March 2020, which presented a unique opportunity to study the potential transportation and mobility effects of telework when undertaken at a larger scale. As such, this memoire presents the results of ten qualitative interviews with workers in Montreal who have been teleworking since the onset of the pandemic, which aimed to understand how, and to what extent, this practice has altered their transportation habits, in light of recent studies and empirical research. As it turns out, teleworking can have diverging or neutral effects on transportation behaviour depending on a multitude of other factors. For instance, while it seems to be associated with a reduction in vehicle miles traveled (VMT) for workers with long commute distances who previously drove to work, for others, full time telework has enable a flexibility that has increased demand for leisure trips to rural areas which requires the acquisition of a private vehicle. Further, for full time teleworkers who previously commuted by public transport, telework has resulted in the abandonment of this mode of transport, which could have long term consequencesfor its financing. Long term mobility outcomes will also depend heavily on the weekly frequency (e.g., two-three days/week) at which telework is implemented for different workers, in the future. Ultimately, planners should implement adequate land use and transport policies in parallel to the uptake of telework in order to promote more sustainable transport habits."@eng
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".