Rail Commuting to Workplaces in Belgium: A Multilevel Approach

Vanoutrive, Thomas; Malderen, Laurent Van; Jourquin, Bart; Thomas, Isabelle; Verhetsel, Ann; Witlox, Frank

doi:10.1080/15568318.2011.555599

Cited by 15 publications

(14 citation statements)

References 53 publications

(80 reference statements)

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“…The inclusion of other modes of transport in the analysis is also a promising avenue for further research, although it is not one without challenges. Multivariate response models (Browne et al 2007, Vanoutrive et al 2012 can be developed in which the share of different modes is used as dependent variables. However, the shares of the 768…”

Section: Discussionmentioning

confidence: 99%

“…For the evaluation of travel plans, most authors employ pre-/post-test designs to measure the degree of success between a situation without and one with travel planning (Möser and Bamberg 2008;Cairns et al 2008;Cairns, Newson, and Davis 2010). However, this research can benefit from insights in the determinants of the 'natural' modal split of a workplace (Vanoutrive et al 2012). Therefore, we explore in this paper how well we can predict the share of car users at a workplace.…”

Section: Introductionmentioning

confidence: 97%

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Workplace travel plans: can they be evaluated effectively by experts?

Vanoutrive

2014

Transportation Planning and Technology

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Employers are regularly involved in transport planning and characteristic workplaceoriented tools include: (1) travel plans for building projects, (2) mandatory travel plans, (3) subsidies to employers with an advanced travel plan and (4) best travel plan awards. In all cases, experts judge the level of car use. We argue that decision-makers might benefit from a multiple regression-based benchmark modelling tool that estimates the expected share of the car. In this paper, we estimate the share of car users in the commuting modal split at workplaces. However, since the amount of information available to experts differs, we gradually add information to the model to measure the impact of data availability. Without historic data on modal split, the current share can only be predicted moderately well, i.e. within a 20% range. Besides adding the past, results improve by using homogenous and regional subsamples. Nevertheless, quantitative analyses do not make expert knowledge obsolete.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

Workplace travel plans: can they be evaluated effectively by experts?

Vanoutrive

2014

Transportation Planning and Technology

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“…This figure is comparable to levels observed in the US and Canada (Buliung et al, 2010), but a major difference with the US is the higher share of public transport in Belgium (12.2%). This can be explained by the more extensive public transport systems in Belgium and other parts of Europe (Buehler, 2011;Vanoutrive et al, 2012). The Belgian Census revealed that women carpool more than men.…”

Section: Exploratory Data Analysismentioning

confidence: 98%

“…Rail accessibility is seen as the inverse of the sum of waiting and walking time between workplace and railway station, the calculation method and an example are given in Vanoutrive et al (2012). Besides these activity-based accessibility indicators, congestion is introduced as an infrastructure-based accessibility indicator.…”

Section: Exploratory Data Analysismentioning

confidence: 99%

What determines carpooling to workplaces in Belgium: location, organisation, or promotion?

Vanoutrive

Vijver

Malderen

et al. 2012

Journal of Transport Geography

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114

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“…Often data availability and compatibility problems, possibly language issues, and/or the lack of a national, Belgian scientific research foundation might be accountable. A few exceptions however do exist whereby research groups from different regions team up to analyze Belgian transport geography problems (Vandenbulcke et al, 2009;Vandenbulcke et al, 2011;Dujardin et al, 2012;Van Malderen et al, 2012;Vanoutrive et al, 2012aVanoutrive et al, , 2012b.…”

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confidence: 99%