Modeling Factors Affecting the Choice of Telework and its Impact on Demand in Transportation Networks

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 collect...

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Main Authors: Vakilian Rambod, Edrisi Ali
Format: Article
Language:English
Published: Sciendo 2020-06-01
Series:Civil and Environmental Engineering
Subjects:
Online Access:https://doi.org/10.2478/cee-2020-0003
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author Vakilian Rambod
Edrisi Ali
author_facet Vakilian Rambod
Edrisi Ali
author_sort Vakilian Rambod
collection DOAJ
description 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 travel distance, affected the model of transportation demand of professor’s members. For the staffing community, it had the most significant impact on teleworking, history and percentage of telework, followed by travel distances, latency from work to home, and latency from home to work.
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spelling doaj.art-eefa807031ed494393cb80275a23c8ef2022-12-22T02:40:39ZengSciendoCivil and Environmental Engineering1336-58352199-65122020-06-01161212910.2478/cee-2020-0003cee-2020-0003Modeling Factors Affecting the Choice of Telework and its Impact on Demand in Transportation NetworksVakilian Rambod0Edrisi Ali1Civil Engineering Faculty, K. N. Toosi University of Technology, Tehran, Iran.Civil Engineering Faculty, K. N. Toosi University of Technology, Tehran, Iran.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 travel distance, affected the model of transportation demand of professor’s members. For the staffing community, it had the most significant impact on teleworking, history and percentage of telework, followed by travel distances, latency from work to home, and latency from home to work.https://doi.org/10.2478/cee-2020-0003teleworkingtransportation demandlogistic regressionlatencytravel time
spellingShingle Vakilian Rambod
Edrisi Ali
Modeling Factors Affecting the Choice of Telework and its Impact on Demand in Transportation Networks
Civil and Environmental Engineering
teleworking
transportation demand
logistic regression
latency
travel time
title Modeling Factors Affecting the Choice of Telework and its Impact on Demand in Transportation Networks
title_full Modeling Factors Affecting the Choice of Telework and its Impact on Demand in Transportation Networks
title_fullStr Modeling Factors Affecting the Choice of Telework and its Impact on Demand in Transportation Networks
title_full_unstemmed Modeling Factors Affecting the Choice of Telework and its Impact on Demand in Transportation Networks
title_short Modeling Factors Affecting the Choice of Telework and its Impact on Demand in Transportation Networks
title_sort modeling factors affecting the choice of telework and its impact on demand in transportation networks
topic teleworking
transportation demand
logistic regression
latency
travel time
url https://doi.org/10.2478/cee-2020-0003
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