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Interpreting employee telecommuting adoption: An economics perspective

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  • Jin-Ru Yen

Abstract

Travel demand is derived from activities at the trip destination; therefore, media that have the potential to provide services previously only supported by transportation will have a chance to be chosen by passengers. The idea of telecommuting is considered the most promising substitute of work trips and thus a good strategy of transportation demand management. From a microeconomics perspective, demand for goods or services can be interpreted as a function of prices and generalized income. Therefore, telecommuting adoption is viewed as a trade-off among the prices of telecommuting itself, substitutes, and complements, as well as generalized income and situational constrains incurred by the employee. The underlying rationale is interpreted by elasticity analysis of aggregate telecommuting demand, based on an adoption model, with respect to various decision variable. The results indicate that the elasticity with respect to the price that the employee may incur in order to telecommute is the largest one, and the elasticity with respect to the living space at home is the second one. Additionally, all of the elasticities found in the group of employees currently commuting by private transportation are greater than the corresponding ones found in the group of transit riders. These findings are expected to have significant implications of transportation policies. Copyright Kluwer Academic Publishers 2000

Suggested Citation

  • Jin-Ru Yen, 2000. "Interpreting employee telecommuting adoption: An economics perspective," Transportation, Springer, vol. 27(1), pages 149-164, February.
    • Handle: RePEc:kap:transp:v:27:y:2000:i:1:p:149-164
    DOI: 10.1023/A:1005200513201
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    Citations

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    Cited by:

    1. Minh Hieu Nguyen & Jimmy Armoogum, 2021. "Perception and Preference for Home-Based Telework in the COVID-19 Era: A Gender-Based Analysis in Hanoi, Vietnam," Sustainability, MDPI, vol. 13(6), pages 1-16, March.
    2. Thomas de Graaff & Piet Rietveld, 2004. "ICT and Substitution Between Out-of-Home and at-Home Work: The Importance of Timing," Environment and Planning A, , vol. 36(5), pages 879-896, May.
    3. Irene Manzini Ceinar & Ilaria Mariotti, 2021. "Teleworking In Post-Pandemic Times:May Local Coworking Spaces Be The Future Trend?," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 15(1), pages 52-76, JUNE.
    4. Georges A. Tanguay & Ugo Lachapelle, 2019. "Potential Impacts of Telecommuting on Transportation Behaviours, Health and Hours Worked in Québec," CIRANO Project Reports 2019rp-07, CIRANO.
    5. Pnina Plaut, 2004. "Non-commuters: the people who walk to work or work at home," Transportation, Springer, vol. 31(2), pages 229-255, May.
    6. de Abreu e Silva, João & Melo, Patrícia C., 2018. "Does home-based telework reduce household total travel? A path analysis using single and two worker British households," Journal of Transport Geography, Elsevier, vol. 73(C), pages 148-162.
    7. de Graaff, Thomas & Rietveld, Piet, 2007. "Substitution between working at home and out-of-home: The role of ICT and commuting costs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(2), pages 142-160, February.
    8. Markus Moos & Andrejs Skaburskis, 2007. "The Characteristics and Location of Home Workers in Montreal, Toronto and Vancouver," Urban Studies, Urban Studies Journal Limited, vol. 44(9), pages 1781-1808, August.
    9. Minh Hieu Nguyen, 2021. "Factors influencing home-based telework in Hanoi (Vietnam) during and after the COVID-19 era," Transportation, Springer, vol. 48(6), pages 3207-3238, December.

    More about this item

    Keywords

    ordinal-probit model; telecommuting;

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