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Employers Transport Plans: Do They Change The Commuting Behaviour Of Workers?

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  • Laurent Van Malderen
  • Bart Jourquin
  • Isabelle Thomas

Abstract

In recent years, the interest of companies for mobility has steadily increased through both public policies aiming at involving the companies in the mobility issue and business objectives mobility can achieve. As a result, a growing number of companies have implemented an Employer Transport Plan (ETP). However, the research literature has brought only a limited attention to ETPs. In addition, existing studies on commuting are often based on the analysis of one specific mode of transport. Hence, the aim of this paper is to find out whether ETPs change the commuting behaviour of workers by simultaneously analysing the modal shares of each mode of transport use to commute in Belgium. To achieve this objective data of the Belgian ‘home to work travels’ diagnosis is used. This diagnosis is performed ever 3 years by the FPS Mobility and Transport and is mandatory: each company located in Belgium and employing at least 100 workers have to fill in a mobility questionnaire. Two diagnoses (in 2005 and in 2008) are available to date, and are used in this research. The database contains information on the modal split and its evolution at 4459 workplaces, as well as on the ETP which was implemented by those workplaces at both dates. Spatial econometrics techniques are then used in order to explain the modal splits at each workplace. In fact, spatial autocorrelation has been detected in the data and spatial econometrics allow taking into account similar unobserved environmental characteristics. A single equation (SE) is firstly estimated to explain the modal share of each mode of transport. Statistical tests are performed on these SE in order to find out the model specification and the weight matrices to be used. Then, the modal shares are simultaneously estimated thanks to a Seemingly Unrelated Regression (SUR). The results show that the estimated coefficients of the SUR model do not differ from those estimated in the SEs and that the promotion of alternative modes of transport increases their use. The SUR model will also be estimated with an adding-up constraint in order to ensure that the sum of the estimated modal shares do not exceed hundred percents. The results of this model will then be compared with the SE and SUR models.

Suggested Citation

  • Laurent Van Malderen & Bart Jourquin & Isabelle Thomas, 2012. "Employers Transport Plans: Do They Change The Commuting Behaviour Of Workers?," ERSA conference papers ersa12p1048, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa12p1048
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    1. J. Paul Elhorst & Sandy Fréret, 2009. "Evidence Of Political Yardstick Competition In France Using A Two‐Regime Spatial Durbin Model With Fixed Effects," Journal of Regional Science, Wiley Blackwell, vol. 49(5), pages 931-951, December.
    2. Stanislav Stakhovych & Tammo H.A. Bijmolt, 2009. "Specification of spatial models: A simulation study on weights matrices," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 389-408, June.
    3. Rye, Tom & Ison, Stephen, 2005. "Overcoming barriers to the implementation of car parking charges at UK workplaces," Transport Policy, Elsevier, vol. 12(1), pages 57-64, January.
    4. Kingham, S. & Dickinson, J. & Copsey, S, 2001. "Travelling to work: will people move out of their cars," Transport Policy, Elsevier, vol. 8(2), pages 151-160, April.
    5. 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.
    6. Vandenbulcke, Grégory & Dujardin, Claire & Thomas, Isabelle & Geus, Bas de & Degraeuwe, Bart & Meeusen, Romain & Panis, Luc Int, 2011. "Cycle commuting in Belgium: Spatial determinants and 're-cycling' strategies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(2), pages 118-137, February.
    7. Adjemian, Michael K. & Cynthia Lin, C.-Y. & Williams, Jeffrey, 2010. "Estimating spatial interdependence in automobile type choice with survey data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(9), pages 661-675, November.
    8. De Witte, Astrid & Macharis, Cathy & Mairesse, Olivier, 2008. "How persuasive is 'free' public transport?: A survey among commuters in the Brussels Capital Region," Transport Policy, Elsevier, vol. 15(4), pages 216-224, July.
    9. J. Elhorst & Jan Oosterhaven, 2006. "Forecasting the impact of transport improvements on commuting and residential choice," Journal of Geographical Systems, Springer, vol. 8(1), pages 39-59, March.
    10. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    11. Jesús Mur & Fernando López & Marcos Herrera, 2010. "Testing for Spatial Effects in Seemingly Unrelated Regressions," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(4), pages 399-440.
    12. Van Malderen, Laurent & Jourquin, Bart & Thomas, Isabelle & Vanoutrive, Thomas & Verhetsel, Ann & Witlox, Frank, 2012. "On the mobility policies of companies: What are the good practices? The Belgian case," Transport Policy, Elsevier, vol. 21(C), pages 10-19.
    13. Nozick, Linda K. & Borderas, Hector & Meyburg, Arnim H., 1998. "Evaluation of travel demand measures and programs: a data envelopment analysis approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(5), pages 331-343, September.
    14. Zhou, Bin (Brenda) & Kockelman, Kara M., 2009. "Predicting the distribution of households and employment: a seemingly unrelated regression model with two spatial processes," Journal of Transport Geography, Elsevier, vol. 17(5), pages 369-376.
    15. Van Exel, N.J.A. & Rietveld, P., 2009. "Could you also have made this trip by another mode? An investigation of perceived travel possibilities of car and train travellers on the main travel corridors to the city of Amsterdam, The Netherland," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 374-385, May.
    16. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    17. Marsden, Greg, 2006. "The evidence base for parking policies--a review," Transport Policy, Elsevier, vol. 13(6), pages 447-457, November.
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