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

Authors

  • Rambod Vakilian MSc, Civil Engineering Faculty, K. N. Toosi University of Technology, Tehran, Iran.
  • Ali Edrisi Assistant Professor, Civil Engineering Faculty, K. N. Toosi University of Technology, Tehran, Iran.

DOI:

https://doi.org/10.15649/2346075X.772

Keywords:

Teleworking, Transportation Demand, Logistic Regression, Latency, Travel Time

Abstract

This research estimates the extent of using teleworking to mean the feasibility and appropriateness of this method of work for employees and professors according to their characteristics and features of career. The study population included university staff and professors in Tehran and data collection was carried out through 447 questionnaires. A logistic regression model was used to investigate the transport demand caused by teleworking. The results showed that various factors including history and percentage of telework and after that, the time delay of home-to-work and trave distance affected the model of transportation demand of professor’s members. For the staffing community, it had the greatest impact on teleworking, history and percentage of telework, followed by travel distances, latency from work to home, and latency from home to work.

Author Biographies

Rambod Vakilian, MSc, Civil Engineering Faculty, K. N. Toosi University of Technology, Tehran, Iran.

MSc, Civil Engineering Faculty, K. N. Toosi University of Technology, Tehran, Iran.

Ali Edrisi, Assistant Professor, Civil Engineering Faculty, K. N. Toosi University of Technology, Tehran, Iran.

Assistant Professor, Civil Engineering Faculty, K. N. Toosi University of Technology, Tehran, Iran.

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Revista Innovaciencia Facultad de Ciencias Exactas, Físicas y Naturales

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Published

2019-10-25

How to Cite

Vakilian, R. ., & Edrisi, A. . (2019). Modeling factors affecting the choice of telework and its impact on demand in transportation networks. Innovaciencia, 7(2). https://doi.org/10.15649/2346075X.772

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Section

Original research and innovation article

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