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Information Technology, Work Patterns and Intra-metropolitan Location: A Case Study

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  • Genevieve Giuliano

    (School of Urban Planning and Development, University of Southern California, Los Angeles, CA 90089-0042, USA, giuliano@almaak.usc.edu)

Abstract

Continued advances in information and communications technology are fundamentally changing the structure of the workplace and the organisation of work. Temporary work and self-employment are increasing, while job tenure is declining. This paper examines how these changes may affect both commuting patterns and metropolitan form. The growing number of workers who do not have a long-term attachment to a specific employer are termed 'contingent workers'. Using 1990 Public Use Micro Sample data for the Los Angeles region, the paper compares the commuting and location patterns of contingent and non-contingent workers. Results are quite mixed: residential location patterns do not differ significantly across worker categories, but commute length varies by category, with the self-employed having the shortest commutes.

Suggested Citation

  • Genevieve Giuliano, 1998. "Information Technology, Work Patterns and Intra-metropolitan Location: A Case Study," Urban Studies, Urban Studies Journal Limited, vol. 35(7), pages 1077-1095, June.
    • Handle: RePEc:sae:urbstu:v:35:y:1998:i:7:p:1077-1095
    DOI: 10.1080/0042098984493
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    References listed on IDEAS

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    1. John E. Keith & David L. Barkley, 1991. "THE LOCATION OF NONMETROPOLITAN HIGH†TECH INDUSTRIES: A Comparison of Regional Determinants," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 3(1), pages 60-77, January.
    2. Giuliano, Genevieve, 1991. "Is Jobs-Housing Balance a Transportation Issue?," University of California Transportation Center, Working Papers qt4874r4hg, University of California Transportation Center.
    3. Genevieve Giuliano & Kenneth A. Small, 1993. "Is the Journey to Work Explained by Urban Structure?," Urban Studies, Urban Studies Journal Limited, vol. 30(9), pages 1485-1500, November.
    4. Roberta Capello, 1994. "Towards New Industrial And Spatial Systems: The Role Of New Technologies," Papers in Regional Science, Wiley Blackwell, vol. 73(2), pages 189-208, April.
    5. Lonnie Golden & Eileen Appelbaum, 1992. "What Was Driving the 1982–88 Boom In Temporary Employment?," American Journal of Economics and Sociology, Wiley Blackwell, vol. 51(4), pages 473-493, October.
    6. Crane, Randall, 1996. "The Influence of Uncertain Job Location on Urban Form and the Journey to Work," Journal of Urban Economics, Elsevier, vol. 39(3), pages 342-356, May.
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    Cited by:

    1. Saim Muhammad & Henk F.L. Ottens & Tom De Jong, 2008. "Modelling The Impact Of Telecommuting On Future Urbanisation In The Netherlands," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 99(2), pages 160-177, April.
    2. He, Mingwei & Zhao, Shengchuan & He, Min, 2016. "Tolerance threshold of commuting time: Evidence from Kunming, China," Journal of Transport Geography, Elsevier, vol. 57(C), pages 1-7.
    3. J. Ignacio, Giménez-Nadal & Jose Alberto, Molina & Jorge, Velilla, 2017. "Leisure and effort at work: incorporating self-employment into urban markets," MPRA Paper 77972, University Library of Munich, Germany.
    4. Muhammad, Saim & de Jong, Tom & Ottens, Henk F.L., 2008. "Job accessibility under the influence of information and communication technologies, in the Netherlands," Journal of Transport Geography, Elsevier, vol. 16(3), pages 203-216.
    5. 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.

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