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Job accessibility under the influence of information and communication technologies, in the Netherlands

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  • Muhammad, Saim
  • de Jong, Tom
  • Ottens, Henk F.L.

Abstract

Information and communication technologies (ICTs) are enabling people to access opportunities in virtual space without facing the friction of distance and travel time alongside the long-existing opportunities in physical space. Hence, society is now dealing with hybrid space circumstances, in which new meanings of distance and accessibility are developing. In physical space, accessibility is measured on the basis of the spatial separation between the locations of opportunities and opportunity seekers. In virtual space, spatial separation loses its importance, but the nature of jobs (whether they can be accessed in virtual space or not) and the personal capabilities of workers (having ICT skills or not) gain more importance. This study explores how this virtual component can be incorporated into existing accessibility models. The influence of the use of ICTs on job accessibility is analysed with two models, the Hansen and the Shen model. The outcomes of this measuring exercise show that job accessibility in hybrid space is likely to improve, but this improvement shows distinct patterns of regional variation. Of the two accessibility measuring models, the classic Hansen potential-accessibility approach performs best in quantifying job accessibility in hybrid space.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:jotrge:v:16:y:2008:i:3:p:203-216
    DOI: 10.1016/j.jtrangeo.2007.05.005
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    Cited by:

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    2. Cheng, Jianquan & Bertolini, Luca, 2013. "Measuring urban job accessibility with distance decay, competition and diversity," Journal of Transport Geography, Elsevier, vol. 30(C), pages 100-109.
    3. Lättman, Katrin & Olsson, Lars E. & Friman, Margareta, 2016. "Development and test of the Perceived Accessibility Scale (PAC) in public transport," Journal of Transport Geography, Elsevier, vol. 54(C), pages 257-263.
    4. Zhong, Shaopeng & Bushell, Max, 2017. "Built environment and potential job accessibility effects of road pricing: A spatial econometric perspective," Journal of Transport Geography, Elsevier, vol. 60(C), pages 98-109.
    5. 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.
    6. Cavallaro, Federico & Dianin, Alberto, 2022. "Combining transport and digital accessibilities in the evaluation of regional work opportunities," Journal of Transport Geography, Elsevier, vol. 98(C).
    7. Tijs Neutens & Tim Schwanen & Frank Witlox & Philippe De Maeyer, 2010. "Equity of Urban Service Delivery: A Comparison of Different Accessibility Measures," Environment and Planning A, , vol. 42(7), pages 1613-1635, July.
    8. Sedigheh Lotfi & M. Koohsari, 2009. "Analyzing Accessibility Dimension of Urban Quality of Life: Where Urban Designers Face Duality Between Subjective and Objective Reading of Place," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 94(3), pages 417-435, December.
    9. Alberto Dianin & Elisa Ravazzoli & Georg Hauger, 2021. "Implications of Autonomous Vehicles for Accessibility and Transport Equity: A Framework Based on Literature," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    10. Bartosz BARTOSIEWICZ & Szymon WIŚNIEWSKI, 2015. "The use of modern information technology in research on transport accessibility," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 10(3), pages 87-98, September.
    11. Bert van Wee & Caspar Chorus & Karst T. Geurs, 2012. "ICT and accessibility: research synthesis and future perspectives," Chapters, in: Karst T. Geurs & Kevin J. Krizek & Aura Reggiani (ed.), Accessibility Analysis and Transport Planning, chapter 3, pages 37-53, Edward Elgar Publishing.
    12. Lingqian Hu, 2017. "Job accessibility and employment outcomes: which income groups benefit the most?," Transportation, Springer, vol. 44(6), pages 1421-1443, November.
    13. Nicholas S. Caros & Jinhua Zhao, 2022. "Preparing urban mobility for the future of work," Papers 2201.01321, arXiv.org.
    14. de Vos, Duco & van Ham, Maarten & Meijers, Evert J., 2019. "Working from Home and Commuting: Heterogeneity over Time, Space, and Occupations," IZA Discussion Papers 12578, Institute of Labor Economics (IZA).
    15. Julsrud, Tom Erik & Hjorthol, Randi & Denstadli, Jon Martin, 2012. "Business meetings: do new videoconferencing technologies change communication patterns?," Journal of Transport Geography, Elsevier, vol. 24(C), pages 396-403.
    16. Elmira Jamei & Melissa Chan & Hing Wah Chau & Eric Gaisie & Katrin Lättman, 2022. "Perceived Accessibility and Key Influencing Factors in Transportation," Sustainability, MDPI, vol. 14(17), pages 1-22, August.
    17. Merlin, Louis A. & Hu, Lingqian, 2017. "Does competition matter in measures of job accessibility? Explaining employment in Los Angeles," Journal of Transport Geography, Elsevier, vol. 64(C), pages 77-88.

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