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Integrating node-place and trip end models to explore drivers of rail ridership in Flanders, Belgium’

Integrating node-place and trip end models to explore drivers of rail ridership in Flanders, Belgium’
Integrating node-place and trip end models to explore drivers of rail ridership in Flanders, Belgium’
The node-place model is an analytical framework that was devised to identify spatial development opportunities for railway stations and their surroundings at the regional scale. Today, the model is predominantly invoked and applied in the context of ‘transit-oriented development’ planning debates. As a corollary, these model applications share the pursuit of supporting a transition towards increased rail ridership (and walking and cycling), and therefore assumingly a transition to more sustainable travel behavior. Surprisingly, analyses of the importance of node and place interventions in explaining rail ridership remain thin on the ground. Against this backdrop, this paper aims to integrate the node-place model approach with current insights that derive from the trip end modeling literature. To this end, we apply a series of regression analyses in order to appraise the most important explanatory factors that impact rail ridership in Flanders, Belgium, today. This appraisal is based on both geographical and temporal data segmentations, in order to test for different types of railway stations and for different periods of the day. Additionally, we explore spatial nonstationarity by calibrating geographically weighted regression models, and this for different time windows. The models developed should allow policy and planning professionals to investigate the possible demand impacts of changes to existing stations and the walkable area surrounding them.
0966-6923
Caset, F.
6e77e3a0-cdc5-400d-9488-2c8437b611c6
Blainey, S.P.
ee6198e5-1f89-4f9b-be8e-52cc10e8b3bb
Derudder, B.
f6b63287-766a-45e9-a838-8a80ae253dfc
Boussauw, B.
6b2bf700-b0d4-4654-9694-23981dfaadda
Witlox, F.
eafe581d-8568-492f-922e-877cb1ea7830
Caset, F.
6e77e3a0-cdc5-400d-9488-2c8437b611c6
Blainey, S.P.
ee6198e5-1f89-4f9b-be8e-52cc10e8b3bb
Derudder, B.
f6b63287-766a-45e9-a838-8a80ae253dfc
Boussauw, B.
6b2bf700-b0d4-4654-9694-23981dfaadda
Witlox, F.
eafe581d-8568-492f-922e-877cb1ea7830

Caset, F., Blainey, S.P., Derudder, B., Boussauw, B. and Witlox, F. (2020) Integrating node-place and trip end models to explore drivers of rail ridership in Flanders, Belgium’. Journal of Transport Geography, 87, [102796]. (doi:10.1016/j.jtrangeo.2020.102796).

Record type: Article

Abstract

The node-place model is an analytical framework that was devised to identify spatial development opportunities for railway stations and their surroundings at the regional scale. Today, the model is predominantly invoked and applied in the context of ‘transit-oriented development’ planning debates. As a corollary, these model applications share the pursuit of supporting a transition towards increased rail ridership (and walking and cycling), and therefore assumingly a transition to more sustainable travel behavior. Surprisingly, analyses of the importance of node and place interventions in explaining rail ridership remain thin on the ground. Against this backdrop, this paper aims to integrate the node-place model approach with current insights that derive from the trip end modeling literature. To this end, we apply a series of regression analyses in order to appraise the most important explanatory factors that impact rail ridership in Flanders, Belgium, today. This appraisal is based on both geographical and temporal data segmentations, in order to test for different types of railway stations and for different periods of the day. Additionally, we explore spatial nonstationarity by calibrating geographically weighted regression models, and this for different time windows. The models developed should allow policy and planning professionals to investigate the possible demand impacts of changes to existing stations and the walkable area surrounding them.

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More information

Accepted/In Press date: 1 July 2020
e-pub ahead of print date: 20 July 2020
Published date: July 2020

Identifiers

Local EPrints ID: 442291
URI: http://eprints.soton.ac.uk/id/eprint/442291
ISSN: 0966-6923
PURE UUID: 0a8fddcb-6a7f-476e-9bb7-a3a8a35028c4
ORCID for S.P. Blainey: ORCID iD orcid.org/0000-0003-4249-8110

Catalogue record

Date deposited: 10 Jul 2020 16:41
Last modified: 26 Nov 2021 02:53

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Contributors

Author: F. Caset
Author: S.P. Blainey ORCID iD
Author: B. Derudder
Author: B. Boussauw
Author: F. Witlox

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