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From mobility management and multilevel modelling towards modelling mobility and multilevel management

(2010)
Author
Promoter
(UGent) and Ann Verhetsel
Organization
Abstract
The term mobility management is increasingly used to stress that contemporary transport policies try to tackle mobility-related problems (congestion, air pollution,...) by taking 'soft' measures, instead of providing 'hard' infrastructures. Soft measures entice people to use other transport modes than the car (e.g. bicycle), to work at home, or to travel outside the peak-hours. Transport policies often point to employers as important actors that can change the travel behaviour of employees. As a result, this thesis focuses on the modal split at workplaces in Belgium. Multilevel regression models are applied to estimate the modal share of cycling, using rail, carpooling, and driving the car at large workplaces in Belgium. Multilevel modelling was chosen as a proper technique to analyse workplaces which are nested in geographical areas. However, with these analyses, the work was not finished. While reflecting on the quantitative work, i.e. modelling mobility, the importance of other actors came to the front. Different levels of government, local, regional as well as national, all have a significant impact on the travel behaviour of employees. When developing transport policies, this multitude of actors at different levels must be taken into account, and this is labelled multilevel management.
Keywords
mobility management, multilevel modelling, home to work travel, Belgium, commuting, employer travel plan

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Citation

Please use this url to cite or link to this publication:

MLA
Vanoutrive, Thomas. From Mobility Management and Multilevel Modelling towards Modelling Mobility and Multilevel Management. Ghent University. Faculty of Sciences ; University of Antwerp. Faculty of Applied Economics, 2010.
APA
Vanoutrive, T. (2010). From mobility management and multilevel modelling towards modelling mobility and multilevel management. Ghent University. Faculty of Sciences ; University of Antwerp. Faculty of Applied Economics, Ghent ; Antwerp, Belgium.
Chicago author-date
Vanoutrive, Thomas. 2010. “From Mobility Management and Multilevel Modelling towards Modelling Mobility and Multilevel Management.” Ghent ; Antwerp, Belgium: Ghent University. Faculty of Sciences ; University of Antwerp. Faculty of Applied Economics.
Chicago author-date (all authors)
Vanoutrive, Thomas. 2010. “From Mobility Management and Multilevel Modelling towards Modelling Mobility and Multilevel Management.” Ghent ; Antwerp, Belgium: Ghent University. Faculty of Sciences ; University of Antwerp. Faculty of Applied Economics.
Vancouver
1.
Vanoutrive T. From mobility management and multilevel modelling towards modelling mobility and multilevel management. [Ghent ; Antwerp, Belgium]: Ghent University. Faculty of Sciences ; University of Antwerp. Faculty of Applied Economics; 2010.
IEEE
[1]
T. Vanoutrive, “From mobility management and multilevel modelling towards modelling mobility and multilevel management,” Ghent University. Faculty of Sciences ; University of Antwerp. Faculty of Applied Economics, Ghent ; Antwerp, Belgium, 2010.
@phdthesis{1078863,
  abstract     = {{The term mobility management is increasingly used to stress that contemporary transport policies try to tackle mobility-related problems (congestion, air pollution,...) by taking 'soft' measures, instead of providing 'hard' infrastructures. Soft measures entice people to use other transport modes than the car (e.g. bicycle), to work at home, or to travel outside the peak-hours. Transport policies often point to employers as important actors that can change the travel behaviour of employees. As a result, this thesis focuses on the modal split at workplaces in Belgium. Multilevel regression models are applied to estimate the modal share of cycling, using rail, carpooling, and driving the car at large workplaces in Belgium. Multilevel modelling was chosen as a proper technique to analyse workplaces which are nested in geographical areas. However, with these analyses, the work was not finished. While reflecting on the quantitative work, i.e. modelling mobility, the importance of other actors came to the front. Different levels of government, local, regional as well as national, all have a significant impact on the travel behaviour of employees. When developing transport policies, this multitude of actors at different levels must be taken into account, and this is labelled multilevel management.}},
  author       = {{Vanoutrive, Thomas}},
  isbn         = {{9789089940322}},
  keywords     = {{mobility management,multilevel modelling,home to work travel,Belgium,commuting,employer travel plan}},
  language     = {{eng}},
  pages        = {{XI, 216}},
  publisher    = {{Ghent University. Faculty of Sciences ; University of Antwerp. Faculty of Applied Economics}},
  school       = {{Ghent University}},
  title        = {{From mobility management and multilevel modelling towards modelling mobility and multilevel management}},
  year         = {{2010}},
}