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Impact of telecommuting and intelligent transportation systems on residential location choice

Author

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  • Mohammad R. Tayyaran
  • Ata M. Khan
  • Donald A. Anderson

Abstract

The impacts of telecommuting and intelligent transportation systems (ITS) on urban development patterns were investigated in terms of households' residential location choice decisions. A discrete choice modelling approach framework was used. A stated preference (SP) logit analysis was carried out to estimate the parameters of the utility function. An attitude survey of employees of selected public and private sector organizations in the Ottawa-Carleton Region (Canada) yielded the required data for model estimation. In addition to obtaining background information, the survey elicited SP responses by presenting a number of hypothetical residential choice scenarios defined according to the principles of SP experimental design. Results show that telecommuting and ITS measures are highly significant factors in the residential choice model. This leads to the conclusion that these reinforce dispersed residential patterns and encourage moves towards outlying sites. Implications of this conclusion for urban land development planning are noted.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:transp:v:26:y:2003:i:2:p:171-193
    DOI: 10.1080/715020598
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    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.
    2. Pengyu Zhu, 2013. "Telecommuting, Household Commute and Location Choice," Urban Studies, Urban Studies Journal Limited, vol. 50(12), pages 2441-2459, September.
    3. 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.
    4. Mouratidis, Kostas & Peters, Sebastian, 2022. "COVID-19 impact on teleactivities: Role of built environment and implications for mobility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 251-270.
    5. Levinson, David & El-Geneidy, Ahmed, 2009. "The minimum circuity frontier and the journey to work," Regional Science and Urban Economics, Elsevier, vol. 39(6), pages 732-738, November.
    6. Raffael Argiolu & Rob van der Heijden & Ilona Bos & Vincent Marchau, 2008. "Intelligent Transport Systems and Preferences for Office Locations," Environment and Planning A, , vol. 40(7), pages 1744-1759, July.
    7. Biancamaria Torquati & Giulia Giacchè & Tiziano Tempesta, 2020. "Landscapes and Services in Peri-Urban Areas and Choice of Housing Location: An Application of Discrete Choice Experiments," Land, MDPI, vol. 9(10), pages 1-21, October.

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