Bicycle accessibility and access mode choice to railway stations in the Netherlands randstad southwing

The main objective of this paper is to examine cycling accessibility to the railway station. Particularly, the study verifies the Influence of impedance factor of a cycling route to the railway station. StedenbaanPlus is a regional transit oriented development with aims to densify urban areas around 35 railway stations approximately. This paper is based on data and analysis from the NWO project called ‘Transit Oriented Development in the Randstad South-Wing’. This research project studies pedestrian and cyclist accessibility to Dutch stations under the program StedenbaanPlus. The data set in t... Mehr ...

Verfasser: La Paix Puello, L.C.
Geurs, K.T.
Dokumenttyp: article in monograph or in proceedings
Erscheinungsdatum: 2013
Verlag/Hrsg.: University of Azores
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-29200476
Datenquelle: BASE; Originalkatalog
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Link(s) : http://purl.utwente.nl/publications/96283

The main objective of this paper is to examine cycling accessibility to the railway station. Particularly, the study verifies the Influence of impedance factor of a cycling route to the railway station. StedenbaanPlus is a regional transit oriented development with aims to densify urban areas around 35 railway stations approximately. This paper is based on data and analysis from the NWO project called ‘Transit Oriented Development in the Randstad South-Wing’. This research project studies pedestrian and cyclist accessibility to Dutch stations under the program StedenbaanPlus. The data set in this paper is mainly composed by: sociodemographic, land-use and bicycle network data spatially georeferenced. The analysis is composed by three parts: 1. Station index: includes the status of bicycle and pedestrian facilities at station, amenities, cleanness, safety, etc. 2. Diversity index: represents the station as node. This index is composed by measures such as number of jobs, population, companies, and places for shopping within the influence area. 3. Connectivity index: represents the network connectivity, from both local and regional approaches. This index is composed by measures such as number of railway lines, type of trains reaching the station, quality of bicycle and pedestrian network, lightness, etc. Spatial and statistical analyses are conducted to calculate an impedance factor of the route to the railway station. These results are used as input of two discrete choice models for both walking and bicycle access share. The expected results will show: (1) the perceived utility of the route by pedestrians and cyclist; (2) the influence of connectivity measures in the bicycle and walking access share. Hence, the main findings will contribute to improve both walking and bicycle access share in Dutch railway stations, as consequence to increase the number of train passengers.