IDEAS home Printed from https://ideas.repec.org/a/sae/urbstu/v50y2013i12p2441-2459.html
   My bibliography  Save this article

Telecommuting, Household Commute and Location Choice

Author

Listed:
  • Pengyu Zhu

Abstract

Previous empirical studies have made contributions to the understanding of the impact of telecommuting on individual travel patterns. There has been much less research that has examined the impact of telecommuting on commute travel at the household level. Using data from the 2001 and 2009 US National Household Travel Surveys, this study focuses on one-worker and two-worker households and investigates how telecommuting affects household one-way commute distance and duration. The results show that telecommuting increases the commute distance and duration for both one-worker households and two-worker households. It is also found that, in two-worker households, the telecommuting status of one worker does not increase the commute distance and duration of the other worker. These findings suggest that telecommuting (two-worker) households tend to choose locations involving a longer total one-way commute than non-telecommuting households, and this difference is largely due to the longer commute of their telecommuting members.

Suggested Citation

  • Pengyu Zhu, 2013. "Telecommuting, Household Commute and Location Choice," Urban Studies, Urban Studies Journal Limited, vol. 50(12), pages 2441-2459, September.
  • Handle: RePEc:sae:urbstu:v:50:y:2013:i:12:p:2441-2459
    DOI: 10.1177/0042098012474520
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0042098012474520
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0042098012474520?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Mohammad R. Tayyaran & Ata M. Khan & Donald A. Anderson, 2003. "Impact of telecommuting and intelligent transportation systems on residential location choice," Transportation Planning and Technology, Taylor & Francis Journals, vol. 26(2), pages 171-193, April.
    2. James H. Stock, 2010. "The Other Transformation in Econometric Practice: Robust Tools for Inference," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 83-94, Spring.
    3. Ory, David T & Mokhtarian, Patricia L, 2005. "The Impact of Telecommuting on Commute Time, Distance, and Speed of State of California Workers," Institute of Transportation Studies, Working Paper Series qt8rg6h7gv, Institute of Transportation Studies, UC Davis.
    4. Patricia L Mokhtarian & Gustavo O Collantes & Carsten Gertz, 2004. "Telecommuting, Residential Location, and Commute-Distance Traveled: Evidence from State of California Employees," Environment and Planning A, , vol. 36(10), pages 1877-1897, October.
    5. Timmermans, Harry J.P. & Zhang, Junyi, 2009. "Modeling household activity travel behavior: Examples of state of the art modeling approaches and research agenda," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 187-190, February.
    6. Edward L. Glaeser & Janet E. Kohlhase, 2004. "Cities, regions and the decline of transport costs," Advances in Spatial Science, in: Raymond J. G. M. Florax & David A. Plane (ed.), Fifty Years of Regional Science, pages 197-228, Springer.
    7. Pengyu Zhu, 2012. "Are telecommuting and personal travel complements or substitutes?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(2), pages 619-639, April.
    8. Sangho Choo & Patricia Mokhtarian & Ilan Salomon, 2005. "Does telecommuting reduce vehicle-miles traveled? An aggregate time series analysis for the U.S," Transportation, Springer, vol. 32(1), pages 37-64, January.
    9. Edward E Leamer & Michael Storper, 2001. "The Economic Geography of the Internet Age," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 32(4), pages 641-665, December.
    10. Plaut, Pnina O., 2006. "The intra-household choices regarding commuting and housing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(7), pages 561-571, August.
    11. Hall, Alastair R & Rudebusch, Glenn D & Wilcox, David W, 1996. "Judging Instrument Relevance in Instrumental Variables Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 37(2), pages 283-298, May.
    12. 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.
    13. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    14. Kato, Hironori & Matsumoto, Manabu, 2009. "Intra-household interaction in a nuclear family: A utility-maximizing approach," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 191-203, February.
    15. Zhang, Junyi & Kuwano, Masashi & Lee, Backjin & Fujiwara, Akimasa, 2009. "Modeling household discrete choice behavior incorporating heterogeneous group decision-making mechanisms," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 230-250, February.
    16. William Alonso, 1960. "A Theory Of The Urban Land Market," Papers in Regional Science, Wiley Blackwell, vol. 6(1), pages 149-157, January.
    17. John Shea, 1997. "Instrument Relevance in Multivariate Linear Models: A Simple Measure," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 348-352, May.
    18. Patricia L. Mokhtarian, 1998. "A Synthetic Approach to Estimating the Impacts of Telecommuting on Travel," Urban Studies, Urban Studies Journal Limited, vol. 35(2), pages 215-241, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kim, Seung-Nam & Choo, Sangho & Mokhtarian, Patricia L., 2015. "Home-based telecommuting and intra-household interactions in work and non-work travel: A seemingly unrelated censored regression approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 197-214.
    2. 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.
    3. Shin, Eun Jin, 2019. "Self-employment and travel behavior: A case study of workers in central Puget Sound," Transport Policy, Elsevier, vol. 73(C), pages 101-112.
    4. 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.
    5. Kontou, Eleftheria & Murray-Tuite, Pamela & Wernstedt, Kris, 2017. "Duration of commute travel changes in the aftermath of Hurricane Sandy using accelerated failure time modeling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 170-181.
    6. Aguilera, Anne & Lethiais, Virginie & Rallet, Alain & Proulhac, Laurent, 2016. "Home-based telework in France: Characteristics, barriers and perspectives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 1-11.
    7. Melo, Patrícia C. & de Abreu e Silva, João, 2017. "Home telework and household commuting patterns in Great Britain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 1-24.
    8. Hong, Jinhyun & Thakuriah, Piyushimita Vonu, 2018. "Examining the relationship between different urbanization settings, smartphone use to access the Internet and trip frequencies," Journal of Transport Geography, Elsevier, vol. 69(C), pages 11-18.
    9. Pengyu Zhu & Liping Wang & Yanpeng Jiang & Jiangping Zhou, 2018. "Metropolitan size and the impacts of telecommuting on personal travel," Transportation, Springer, vol. 45(2), pages 385-414, March.
    10. Czamanski, Daniel & Broitman, Dani, 2017. "Information and communication technology and the spatial evolution of mature cities," Socio-Economic Planning Sciences, Elsevier, vol. 58(C), pages 30-38.
    11. Sergejs Gubins & Jos Ommeren & Thomas Graaff, 2019. "Does new information technology change commuting behavior?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(1), pages 187-210, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pengyu Zhu & Liping Wang & Yanpeng Jiang & Jiangping Zhou, 2018. "Metropolitan size and the impacts of telecommuting on personal travel," Transportation, Springer, vol. 45(2), pages 385-414, March.
    2. Pengyu Zhu, 2012. "Are telecommuting and personal travel complements or substitutes?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(2), pages 619-639, April.
    3. Kim, Seung-Nam & Choo, Sangho & Mokhtarian, Patricia L., 2015. "Home-based telecommuting and intra-household interactions in work and non-work travel: A seemingly unrelated censored regression approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 197-214.
    4. Pengyu Zhu, 2016. "Residential segregation and employment outcomes of rural migrant workers in China," Urban Studies, Urban Studies Journal Limited, vol. 53(8), pages 1635-1656, June.
    5. Hu, Yang & van Wee, Bert & Ettema, Dick, 2023. "Intra-household decisions and the impact of the built environment on activity-travel behavior: A review of the literature," Journal of Transport Geography, Elsevier, vol. 106(C).
    6. Ozbilen, Basar & Wang, Kailai & Akar, Gulsah, 2021. "Revisiting the impacts of virtual mobility on travel behavior: An exploration of daily travel time expenditures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 49-62.
    7. Beck, Matthew J. & Hensher, David A., 2022. "Working from home in Australia in 2020: Positives, negatives and the potential for future benefits to transport and society," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 271-284.
    8. 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.
    9. Andrew Hook & Victor Court & Benjamin K Sovacool & Steven Sorrell, 2020. "A Systematic Review of the Energy and Climate Impacts of Teleworking," Working Papers hal-03192905, HAL.
    10. Melo, Patrícia C. & de Abreu e Silva, João, 2017. "Home telework and household commuting patterns in Great Britain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 1-24.
    11. Nicholas S. Caros & Jinhua Zhao, 2022. "Preparing urban mobility for the future of work," Papers 2201.01321, arXiv.org.
    12. Khandker Nurul Habib & Ph. D. & PEng, 2020. "On the Factors Influencing the Choices of Weekly Telecommuting Frequencies of Post-secondary Students in Toronto," Papers 2004.04683, arXiv.org.
    13. Sergejs Gubins & Jos Ommeren & Thomas Graaff, 2019. "Does new information technology change commuting behavior?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(1), pages 187-210, February.
    14. Vieira, Flávio & MacDonald, Ronald & Damasceno, Aderbal, 2012. "The role of institutions in cross-section income and panel data growth models: A deeper investigation on the weakness and proliferation of instruments," Journal of Comparative Economics, Elsevier, vol. 40(1), pages 127-140.
    15. Boto-García, David & Mariel, Petr & Baños-Pino, José Francisco, 2023. "Intra-household bargaining for a joint vacation," Journal of choice modelling, Elsevier, vol. 47(C).
    16. Donald W.K. Andrews & James H. Stock, 2005. "Inference with Weak Instruments," NBER Technical Working Papers 0313, National Bureau of Economic Research, Inc.
    17. Paul A. Bekker & Jan van der Ploeg, 2000. "Instrumental Variable Estimation Based on Grouped Data," Econometric Society World Congress 2000 Contributed Papers 1862, Econometric Society.
    18. Alla Koblyakova & Larisa Fleishman & Orly Furman, 2022. "Accuracy of Households’ Dwelling Valuations, Housing Demand and Mortgage Decisions: Israeli Case," The Journal of Real Estate Finance and Economics, Springer, vol. 65(1), pages 48-74, July.
    19. Danielsson, Jon & Love, Ryan, 2004. "Feedback trading," LSE Research Online Documents on Economics 24760, London School of Economics and Political Science, LSE Library.
    20. Chandra Bhat & Konstadinos Goulias & Ram Pendyala & Rajesh Paleti & Raghuprasad Sidharthan & Laura Schmitt & Hsi-Hwa Hu, 2013. "A household-level activity pattern generation model with an application for Southern California," Transportation, Springer, vol. 40(5), pages 1063-1086, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:urbstu:v:50:y:2013:i:12:p:2441-2459. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: http://www.gla.ac.uk/departments/urbanstudiesjournal .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.