Working from home and its implications for strategic transport modelling based on the early days of the COVID-19 pandemic

Hensher, David A.; Beck, Matthew J.; Wei, Edward

doi:10.1016/j.tra.2021.03.027

Cited by 76 publications

(50 citation statements)

References 17 publications

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“… The increased importance of “mobility management” ( A 3 ) comes as a result of incorporated measures that enable avoiding the necessity to travel (e.g., from home to work or school) and the MaaS concept. Work from home is an especially visible alternative in common practice ( Hensher et al, 2021 ). Besides, a significant number of companies will continue to utilize remote working after the COVID-19 pandemic since it offers cost reduction.…”

Section: Resultsmentioning

confidence: 99%

Adapting Urban Transport Planning to the COVID-19 Pandemic: An Integrated Fermatean Fuzzy Model

Šimić

Ivanović

Djoric

et al. 2022

Sustainable Cities and Society

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The critical worldwide problem of adapting urban transport planning to COVID-19 is for the first time comprehensively addressed and solved in this study. It primarily aims to help transport planners increase the resilience of transport systems. Firstly, a multi-level decision-making hierarchy structure based on four main criteria and 17 sub-criteria is introduced for relevant stakeholders to provide a practical framework for assessing existing transport plans. Then, a three-stage integrated Fermatean fuzzy model for adapting urban transport planning to the pandemic is presented. The model hybridizes the method based on the removal effects of criteria (MEREC) and combined compromise solution (CoCoSo) method into a unique methodological framework under the Fermatean fuzzy environment. A case study provides decision-making guidelines on how to adapt transport plans to COVID-19 in the real-world context of Belgrade, Serbia. The research findings show that the pandemic significantly changed the priorities of transport planning strategies and measures. “Non-motorized travel” is now the best alternative since its numerous short-term measures lead to better transport service. The major advantages of the introduced model are higher flexibility and a more precise fusion of experts’ preference information. The integrated Fermatean fuzzy model could be used for adapting other emerging problems to COVID-19.

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Section: Resultsmentioning

confidence: 99%

Adapting Urban Transport Planning to the COVID-19 Pandemic: An Integrated Fermatean Fuzzy Model

Šimić

Ivanović

Djoric

et al. 2022

Sustainable Cities and Society

View full text Add to dashboard Cite

show abstract

“…They found that mobility in the following locations declined during the pandemic: transit stations, pharmacies, retail, grocery stores, and recreation. In an Australian survey-based study in March of 2020, Hensher et al (2021) estimated the number of days people work from home based on the characteristics of their jobs and employers, and investigated its subsequent impacts on their commuting trips. Their study found that low-income group workers were less likely to be able to work from home, while females and younger workers were more likely to be able to work from home.…”

Section: Covid-19 Impacts On the Transportation Industrymentioning

confidence: 99%

The impacts of the COVID-19 pandemic on transportation employment: A comparative analysis

Mack

Agrawal

Wang

2021

Transportation Research Interdisciplinary Perspectives

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The COVID-19 pandemic caused a variety of social, economic, and environmental changes. This paper examines the employment-related impacts of the pandemic on workers in the transportation industry compared to other industries, and within different transportation sectors. We estimated random effects logistic regression models to test the following three hypotheses using the monthly Current Population Survey micro-data. One, the transportation industry experienced a greater incidence of unemployment than other industries. Two, there is heterogeneity in employment impacts within the transportation sector. Three, specific sectors within the transportation industry experienced more employment impacts than other essential industries, as designated by the Centers for Disease Control and Prevention (CDC) Phase 1a vaccination guidelines. Model results highlight that workers in the transportation sector were 20.6% more likely to be unemployed because of the pandemic than workers in non-transportation industries. Model results also indicate large intra-sector heterogeneities in employment impacts within the transportation sector. Taxi and limousine drivers were 28 times more likely to be unemployed compared to essential workers. Scenic and sightseeing transportation workers were 23.8 times more likely to be unemployed compared to essential workers. On the other end of the spectrum, however, postal workers and pipeline workers were 84% and 67% less likely to be unemployed compared to essential workers, respectively. From a policy perspective, these results suggest that attention to several aspects of transportation work are needed in the coming years to prepare for future interruptions to the transportation industry.

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“…Firstly, remote working and online learning may induce the cancellation of many systematic trips [4,8,9,46,50] since individuals have the possibility to carry out the corresponding activities at home [7,29,51]. Although factors influencing both remote working and the prediction of its adoption were investigated by many authors [7,10,13,29,51,52], only a few previous works focused on the impact of online learning and students' behaviours on travel demand, but without any predictive analysis. Due to the COVID-19 pandemic, students experienced drastic changes in their lives [15].…”

Section: Introductionmentioning

confidence: 99%

“…Bin et al [8] used data from different countries to calibrate binary regressions forecasting the likelihood of travel habits observed during the pandemic period being maintained; however, they did not consider travel options and safety measures. Hensher et al [51] predicted the number of remote working days and weekly commuting trips in Australia when restrictions are relaxed, but without including health risk mitigation measures on travel means.…”

Section: Introductionmentioning

confidence: 99%

Travel Demand Prediction during COVID-19 Pandemic: Educational and Working Trips at the University of Padova

2021

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The diffusion of the COVID-19 pandemic has induced fundamental changes in travel habits. Although many previous authors have analysed factors affecting observed variations in travel demand, only a few works have focused on predictions of future new normal conditions when people will be allowed to decide whether to travel or not, although risk mitigation measures will still be enforced on vehicles, and innovative mobility services will be implemented. In addition, few authors have considered future mandatory trips of students that constitute a great part of everyday travels and are fundamental for the development of society. In this paper, logistic regression models were calibrated by using data from a revealed and stated-preferences mobility survey administered to students and employees at the University of Padova (Italy), to predict variables impacting on their decisions to perform educational and working trips in the new normal phase. Results highlighted that these factors are different between students and employees; furthermore, available travel alternatives and specific risk mitigation measures on vehicles were found to be significant. Moreover, the promotion of the use of bikes, as well as bike sharing, car pooling and micro mobility among students can effectively foster sustainable mobility habits. On the other hand, countermeasures on studying/working places resulted in a slight effect on travel decisions.

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Working from home and its implications for strategic transport modelling based on the early days of the COVID-19 pandemic

Cited by 76 publications

References 17 publications

Adapting Urban Transport Planning to the COVID-19 Pandemic: An Integrated Fermatean Fuzzy Model

Adapting Urban Transport Planning to the COVID-19 Pandemic: An Integrated Fermatean Fuzzy Model

The impacts of the COVID-19 pandemic on transportation employment: A comparative analysis

Travel Demand Prediction during COVID-19 Pandemic: Educational and Working Trips at the University of Padova

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