IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i14p5781-d386124.html
   My bibliography  Save this article

Influence of Community Design and Sociodemographic Characteristics on Teleworking

Author

Listed:
  • Mohammad Abu Afrahim Bhuiyan

    (Department of Civil & Environmental Engineering, Islamic University of Technology, Board Bazar, Gazipur 1704, Bangladesh)

  • Shakil Mohammad Rifaat

    (Department of Civil & Environmental Engineering, Islamic University of Technology, Board Bazar, Gazipur 1704, Bangladesh)

  • Richard Tay

    (School of Accounting, Information Systems and Supply Chain, RMIT University, Melbourne 3000, Australia)

  • Alex De Barros

    (Department of Civil Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada)

Abstract

The traffic on the roads in many countries has been increasing in recent decades, and the increases in congestion and carbon emission are contributing significantly to climate change. To minimize these adverse effects, the use of more sustainable travel modes, such as public transit, walking, bicycling, carpool and ridesharing, has been widely promoted. Apart from these travel modes, alternatives, such as teleworking, which reduces commute trips, should also be promoted. The objective of this study is to identify different neighborhood design and social characteristics that are associated with teleworking. In this case study, a multiple regression model is applied to 2011 census data and road infrastructure data of 185 communities from the city of Calgary in Canada. In addition, a random intercept model is estimated to account for unobserved heterogeneity. We find that different street patterns, geographical size, land use, mass rapid transit, and road types have a significant effect on teleworking or working-at-home and should be considered when designing new communities. We also find several significant sociodemographic characteristics, including family size, marital status, children, housing type and language. Policy implications based on this research are then provided.

Suggested Citation

  • Mohammad Abu Afrahim Bhuiyan & Shakil Mohammad Rifaat & Richard Tay & Alex De Barros, 2020. "Influence of Community Design and Sociodemographic Characteristics on Teleworking," Sustainability, MDPI, vol. 12(14), pages 1-10, July.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:14:p:5781-:d:386124
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/14/5781/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/14/5781/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Rye, Tom, 2002. "Travel plans: do they work?," Transport Policy, Elsevier, vol. 9(4), pages 287-298, October.
    3. Pendyala, Ram M. & Kitamura, Ryuichi & Chen, Cynthia & Pas, Eric I., 1997. "An activity-based microsimulation analysis of transportation control measures," Transport Policy, Elsevier, vol. 4(3), pages 183-192, July.
    4. Anne Aguilera, 2005. "Growth in Commuting Distances in French Metropolitan Areas - The case of Paris," ERSA conference papers ersa05p255, European Regional Science Association.
    5. Gärling, Tommy & Eek, Daniel & Loukopoulos, Peter & Fujii, Satoshi & Johansson-Stenman, Olof & Kitamura, Ryuichi & Pendyala, Ram & Vilhelmson, Bertil, 2002. "A conceptual analysis of the impact of travel demand management on private car use," Transport Policy, Elsevier, vol. 9(1), pages 59-70, January.
    6. Meyer, Michael D., 1999. "Demand management as an element of transportation policy: using carrots and sticks to influence travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(7-8), pages 575-599.
    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. Pirdavani, Ali & Bellemans, Tom & Brijs, Tom & Kochan, Bruno & Wets, Geert, 2014. "Assessing the road safety impacts of a teleworking policy by means of geographically weighted regression method," Journal of Transport Geography, Elsevier, vol. 39(C), pages 96-110.
    9. Mosabbir Pasha & Shakil Rifaat & Richard Tay & Alex de Barros, 2016. "Urban design and planning influences on the share of trips taken by cycling," Journal of Urban Design, Taylor & Francis Journals, vol. 21(4), pages 471-480, July.
    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. João de Abreu e Silva, 2022. "Residential preferences, telework perceptions, and the intention to telework: insights from the Lisbon Metropolitan Area during the COVID‐19 pandemic," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(S1), pages 142-161, November.

    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. Kuldeep Kavta & Arkopal K. Goswami, 2021. "A methodological framework for a priori selection of travel demand management package using fuzzy MCDM methods," Transportation, Springer, vol. 48(6), pages 3059-3084, December.
    2. Habibian, Meeghat & Kermanshah, Mohammad, 2013. "Coping with congestion: Understanding the role of simultaneous transportation demand management policies on commuters," Transport Policy, Elsevier, vol. 30(C), pages 229-237.
    3. Chen, Peng & Yang, Xiankui, 2023. "Revisit employer-based travel demand management: A longitudinal analysis," Transport Policy, Elsevier, vol. 131(C), pages 22-31.
    4. Guzman, Luis A. & Arellana, Julian & Alvarez, Vilma, 2020. "Confronting congestion in urban areas: Developing Sustainable Mobility Plans for public and private organizations in Bogotá," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 321-335.
    5. Yen, Barbara T.H. & Mulley, Corinne & Meza, Gerardo, 2023. "Understanding the potential policy transfer of gamification schemes for behaviour change in public transport and road safety," Research in Transportation Economics, Elsevier, vol. 99(C).
    6. Cairns, S. & Newson, C. & Davis, A., 2010. "Understanding successful workplace travel initiatives in the UK," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(7), pages 473-494, August.
    7. Bueno, Paola Carolina & Gomez, Juan & Peters, Jonathan R. & Vassallo, Jose Manuel, 2017. "Understanding the effects of transit benefits on employees’ travel behavior: Evidence from the New York-New Jersey region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 1-13.
    8. Nelson, John D. & Balbontin, Camila & Hensher, David A. & Beck, Matthew, 2023. "A comparative analysis of University Sustainable Travel Plans – Experience from Australia," Transport Policy, Elsevier, vol. 141(C), pages 197-208.
    9. Malayath, Manoj & Verma, Ashish, 2013. "Activity based travel demand models as a tool for evaluating sustainable transportation policies," Research in Transportation Economics, Elsevier, vol. 38(1), pages 45-66.
    10. Lee-Gosselin, Martin & Miranda-Moreno, Luis F., 2009. "What is different about urban activities of those with access to ICTs? Some early evidence from Québec, Canada," Journal of Transport Geography, Elsevier, vol. 17(2), pages 104-114.
    11. Michael J. Clay * & Patricia L. Mokhtarian, 2004. "Personal travel management: the adoption and consideration of travel-related strategies," Transportation Planning and Technology, Taylor & Francis Journals, vol. 27(3), pages 181-209, June.
    12. Jun Guan Neoh & Maxwell Chipulu & Alasdair Marshall, 2017. "What encourages people to carpool? An evaluation of factors with meta-analysis," Transportation, Springer, vol. 44(2), pages 423-447, March.
    13. Juan Zhu & Xinyi Niu & Cheng Shi, 2019. "The Influencing Factors of a Polycentric Employment System on Jobs-Housing Matching—A Case Study of Hangzhou, China," Sustainability, MDPI, vol. 11(20), pages 1-18, October.
    14. Julia L. O. Beckel & Gwenith G. Fisher, 2022. "Telework and Worker Health and Well-Being: A Review and Recommendations for Research and Practice," IJERPH, MDPI, vol. 19(7), pages 1-32, March.
    15. Paul Downward & Simona Rasciute, 2011. "An Economic Analysis of the Subjective Health and Well-being of Physical Activity," Chapters, in: Plácido Rodríguez & Stefan Késenne & Brad R. Humphreys (ed.), The Economics of Sport, Health and Happiness, chapter 2, Edward Elgar Publishing.
    16. Apostolos Giantsidis, 2014. "Mobility Management in small and medium cities: The case of Serres," ERSA conference papers ersa14p390, European Regional Science Association.
    17. Van Malderen, Laurent & Jourquin, Bart & Pecheux, Claude & Thomas, Isabelle & Van De Vijver, Elien & Vanoutrive, Thomas & Verhetsel, Ann & Witlox, Frank, 2013. "Exploring the profession of mobility manager in Belgium and their impact on commuting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 55(C), pages 46-55.
    18. Allahviranloo, Mahdieh & Recker, Will, 2013. "Daily activity pattern recognition by using support vector machines with multiple classes," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 16-43.
    19. Goulden, Murray & Ryley, Tim & Dingwall, Robert, 2014. "Beyond ‘predict and provide’: UK transport, the growth paradigm and climate change," Transport Policy, Elsevier, vol. 32(C), pages 139-147.
    20. Vrchota Jaroslav & Frantíková Zuzana & Vlčková Miroslava, 2019. "Why Some SME’s in the Czech Republic Adopt Telework and Others Not?," European Countryside, Sciendo, vol. 11(4), pages 599-615, December.

    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:gam:jsusta:v:12:y:2020:i:14:p:5781-:d:386124. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.