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Duration and Frequency of Telecenter Use: Once a Telecommuter, Always a Telecommuter?

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  • Varma, Krishna
  • Ho, Chaang-Iuan
  • Stanek, David
  • Mokhtarian, Patricia

Abstract

The study of temporal patterns of telecommuting is essential in understanding the adoption of telecommuting and, hence, the impacts of telecommuting on the demand for equipment and services as well as the demand for travel. This research examines, in the context of center-based telecommuting, how often individuals telecommute, the duration of their telecommuting participation, and causes of attrition among telecommuters. It also presents related findings from previous studies of home-based telecommuting. Attrition at the telecenters studied was relatively high, with 50% of all telecommuters quitting within the first 9 months. The average telecommuting frequency across the sample was 22% or about 1.1 days per week. Nearly 64% of the participants telecommuted less than 1 day per week on average. The relationship between frequency and duration appears to be complex, with partially counteracting trends. The results suggest that there is a stable segment of the sample (stayers) who are committed higher-frequency telecommuters, but that within the segment having a propensity to quit, there is a slight but statistically significant tendency for higher-frequency telecommuters to quit sooner. The motivations of participants for quitting the program were investigated. The most frequent type of reason given was job-related (cited by more than a third of all quitters). Other important reasons were supervisor-related (16%) and closure of the center (12%). No one cited dissatisfaction with telecommuting as a reason for quitting, and most quitters expressed a desire to continue telecommuting from the center.

Suggested Citation

  • Varma, Krishna & Ho, Chaang-Iuan & Stanek, David & Mokhtarian, Patricia, 1998. "Duration and Frequency of Telecenter Use: Once a Telecommuter, Always a Telecommuter?," Institute of Transportation Studies, Working Paper Series qt61t9j2vb, Institute of Transportation Studies, UC Davis.
    • Handle: RePEc:cdl:itsdav:qt61t9j2vb
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    1. Mokhtarian, Patricia L. & Salomon, Ilan, 1997. "Modeling the desire to telecommute: The importance of attitudinal factors in behavioral models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(1), pages 35-50, January.
    2. P L Mokhtarian & I Salomon, 1996. "Modeling the Choice of Telecommuting: 2. A Case of the Preferred Impossible Alternative," Environment and Planning A, , vol. 28(10), pages 1859-1876, October.
    3. P L Mokhtarian & I Salomon, 1996. "Modeling the Choice of Telecommuting: 3. Identifying the Choice Set and Estimating Binary Choice Models for Technology-Based Alternatives," Environment and Planning A, , vol. 28(10), pages 1877-1894, October.
    4. Mokhtarian, Patricia & Varma, Krishna, 1998. "The Trade-Off Between Trips and Distance Traveled in Analyzing the Emissions Impacts of Center-Based Telecommuting," Institute of Transportation Studies, Working Paper Series qt43b756qg, Institute of Transportation Studies, UC Davis.
    5. Mokhtarian, Patricia L. & Handy, Susan L. & Salomon, Ilan, 1995. "Methodological issues in the estimation of the travel, energy, and air quality impacts of telecommuting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 29(4), pages 283-302, July.
    6. Mokhtarian, Patricia L. & Salomon, Ilan & Saxena, Somitra & Sampath, Srikanth & Cheung, Peter & Le, Kate & Bagley, Michael, 1996. "Adoption of Telecommuting in Two California State Agencies," University of California Transportation Center, Working Papers qt2v63b7b8, University of California Transportation Center.
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    6. Mokhtarian, Patricia & Varma, Krishna, 1998. "The Trade-Off Between Trips and Distance Traveled in Analyzing the Emissions Impacts of Center-Based Telecommuting," Institute of Transportation Studies, Working Paper Series qt43b756qg, Institute of Transportation Studies, UC Davis.
    7. Huseyin Yener, 2022. "Evaluating employee attitudes on working home style during Covid-19 pandemic," Technium Social Sciences Journal, Technium Science, vol. 28(1), pages 497-504, February.
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    11. Tang, Wei & Mokhtarian, Patricia L & Handy, Susan L, 2008. "The Role of Neighborhood Characteristics in the Adoption and Frequency of Working at Home: Empirical Evidence from Northern California," Institute of Transportation Studies, Working Paper Series qt13x2q3rb, Institute of Transportation Studies, UC Davis.
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