Modeling factors affecting the choice of telework and its impact on demand in transportation networks

Vakilian, Rambod; Edrisi, Ali

doi:10.15649/2346075x.772

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…As Lane Count and complexity increases, drivers wait for larger margins of safety before gauging adequate entry space. Thus, any capacity analysis would need to calibrate to local driver risk tolerance and vehicle speeds, which can vary by roundabout type (30) . R. Guo (31) conducted a study in which different methods were used to determine the size of the critical interval, such as the Raff method, the Ashworth method, and the maximum likelihood method.…”

Section: Discussionmentioning

confidence: 99%

Variable’s prediction of gap acceptance roundabout capacity model – Critical gap

Majid,

Ali

2023

Innovaciencia

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Introduction: The research relevance is determined by the assessment of the capacity of roundabouts and their efficiency are extremely important topics in transport engineering research. As road networks are constantly growing in size and complexity, congestion and insufficient flow capacity are becoming serious problems for traffic. The research aims to determine the critical interval at a certain roundabout using several statistical methods and to compare the results obtained by each of them, respectively. Material and Methods: The statistical methods used in the study included the Ruff, Wu, Troutbeck, Ashworth, and standard deviation methods. Results and Discussion: The results of the study show that the difference between the five methods is minimal, although each method has its characteristics. The analysis of the critical interval for the left and right bands showed that different methods may vary in their estimates, but the overall picture remains within acceptable convergence. The difference between the Wu method and the other methods was found to be negligible, except for the Ashworth method, which has a significant difference in the definition of the critical interval. Conclusion: Thus, all five methods can generally be used to calculate the critical interval at roundabouts. However, due to its simplicity and reliability, the Wu method was recommended for use. The practical significance of the study is that the results provide important guidance and information for the design and management of roundabouts. Estimation of the critical spacing is key to determining the optimal traffic flow regime, which affects safety, flow capacity and convenience for drivers.

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Section: Discussionmentioning

confidence: 99%

Variable’s prediction of gap acceptance roundabout capacity model – Critical gap

Majid,

Ali

2023

Innovaciencia

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“…From the very beginning they identified the need for flexible work to be incorporated into travel demand models (Handy and Mokhtarian, 1996b). More recent empirical research includes studies of how flexible work has affected road congestion in Australia (Cleary et al, 2010), Norway (Julsrud et al, 2012), Iran (Vakilian and Edrisi, 2019), and Sweden (Bieser et al, 2021).…”

Section: Transportation Sciencementioning

confidence: 99%

Preparing urban mobility for the future of work

Caros¹,

Zhao²

2022

Preprint

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A gradual growth in flexible work over many decades has been suddenly and dramatically accelerated by the COVID-19 pandemic. The share of flexible work days in the United States is forecasted to grow from 4% in 2018 to over 26% by 2022. This rapid and unexpected shift in the nature of work will have a profound effect on the demand for, and supply of, urban transportation. Understanding how people make decisions around where and with whom to work will be critical for predicting future travel patterns and designing mobility systems to serve flexible commuters. To that end, this paper establishes a formal taxonomy for describing possible flexible work arrangements, the stakeholders involved and the relationships between them. An analytical framework is then developed for adapting existing transportation models to incorporate the unique dynamics of flexible work location choice. Several examples are provided to demonstrate how the new taxonomy and analytical framework can be applied across a broad set of scenarios. Finally, a critical research agenda is proposed to create both the empirical knowledge and methodological tools to prepare urban mobility for the future of work.

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Modeling factors affecting the choice of telework and its impact on demand in transportation networks

Cited by 2 publications

References 14 publications

Variable’s prediction of gap acceptance roundabout capacity model – Critical gap

Variable’s prediction of gap acceptance roundabout capacity model – Critical gap

Preparing urban mobility for the future of work

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