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Work design, flexible work arrangements and travel behaviour: policy implications

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  • Brewer, Ann M.

Abstract

This paper examines the assumptions of work design and its impact on how work is conceived and designed, the important linkages to travel behaviour to and from work and subsequent impacts on traffic mix in urban areas. These issues have not been substantively addressed by management or government and are forming a barrier to FWA. The focus of this paper is to look at the broader framework of work design in the context of the emergence of distributed work, diffusion of communications technology, and their influence on introducing real flexibility into work and its potential impact on travel behaviour. Specifically the study investigates the extent to which place, distance and time, the limiting dimensions in travel behaviour, serve as a major barrier to flexible work design and work scheduling. Flexible work arrangements will only become a reality by developing acceptable employment policies both at government and corporate levels. The paper concludes by analysing two policy options.

Suggested Citation

  • Brewer, Ann M., 1998. "Work design, flexible work arrangements and travel behaviour: policy implications," Transport Policy, Elsevier, vol. 5(2), pages 93-101, April.
    • Handle: RePEc:eee:trapol:v:5:y:1998:i:2:p:93-101
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    References listed on IDEAS

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    1. Zhang, Zheng & Fujii, Hidemichi & Managi, Shunsuke, 2014. "How does Commuting Behavior Change Due to Incentives? An Empirical Study of the Beijing Subway System," MPRA Paper 54691, University Library of Munich, Germany.
    2. Laurent Van Malderen & Bart Jourquin & Isabelle Thomas & Thomas Vanoutrive & Ann Verhetsel & Frank Witlox, 2011. "Employer Mobility Plans: Acceptability, Efficiency And Costs," ERSA conference papers ersa10p291, European Regional Science Association.
    3. Hensher, David A., 1998. "The imbalance between car and public transport use in urban Australia: why does it exist?," Transport Policy, Elsevier, vol. 5(4), pages 193-204, October.
    4. Zhiyi Gan & Jinhua Gan & Zhiqing E. Zhou & Hanying Tang, 2024. "Organizational Benefits of Commuting Support: The Impact of Flexible Working Hours on Employees’ OCB through Commuting Control," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 174(1), pages 75-89, August.
    5. Andrea Alonso & Andrés Monzón & Rocío Cascajo, 2018. "Measuring Negative Synergies of Urban Sprawl and Economic Crisis over Public Transport Efficiency," International Regional Science Review, , vol. 41(5), pages 540-576, September.
    6. Christy Collins & Arianne De Blaeij, 2005. "Trends in commuter and leisure travel in The Netherlands 1991-2001 - Mode choice and travel time," ERSA conference papers ersa05p615, European Regional Science Association.
    7. Caballini, Claudia & Agostino, Matteo & Dalla Chiara, Bruno, 2021. "Physical mobility and virtual communication in Italy: Trends, analytical relationships and policies for the post COVID-19," Transport Policy, Elsevier, vol. 110(C), pages 314-334.
    8. Nicholas S. Caros & Jinhua Zhao, 2022. "Preparing urban mobility for the future of work," Papers 2201.01321, arXiv.org.
    9. Sundo, Marloe B. & Fujii, Satoshi, 2005. "The effects of a compressed working week on commuters' daily activity patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(10), pages 835-848, December.

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