University of Twente Student Theses


Which factors can influence changes in the performance of station areas? : a longitudinal study

Hermens, S.L.W. (2015) Which factors can influence changes in the performance of station areas? : a longitudinal study.

[img] PDF
Abstract:In the past years in the Netherlands more and more attention arose for node development. This is reflected in the number of studies performed for governments, alliances to realize development, and the facility upgrades of several train stations. Nodes are seen as the locations for future (economic) developments while ensuring the accessibility of the Netherlands. In addition, the fact that these station areas are well-accessible by public transport makes it important to use the potential of these nodes to make the Dutch transportation system more sustainable. This study will focus on the station areas. In order to boost development at these station areas and to stimulate public transport use, local policymakers use measures from the domain of spatial planning and transport. Examples are densifying current urban areas, planning housing near existing train stations or upgrading infrastructure. These are measures within the means of local policy makers. In addition, research has shown a relation between spatial planning and mobility or accessibility and spatial (economic) developments. However, there also studies that indicate weak or no relations. It is apparent that research indicating strong relation often are based on cross-section research while (the small number of) studies indicating weak relations are based on longitudinal research. The difference in results might be contributable to the difference in research methodology. Another remark is that cross-section research is based on one observation in time per variable per location. Therefore, a found relation using cross-section research between, for example, density and public transport use, this relation is not a causal relation. However, these results are interpret in such a way. In order to indicate a causal relation one needs to find the relation between the variation in two variables. Hence, in the mentioned example one should find a relation between the increase in density and increase in public transport use. Longitudinal research is more suitable for this due to its use of multiple observations in time per variable per location. This makes it possible to analyse the variation of variables. There is a lack of good Dutch longitudinal research describing the interaction between land-use and transport. Therefore it is not clear which causal relations are present.
Item Type:Essay (Master)
PBL Netherlands Environmental Assessment Agency, the Netherlands
Faculty:ET: Engineering Technology
Subject:56 civil engineering
Programme:Civil Engineering and Management MSc (60026)
Link to this item:
Export this item as:BibTeX
HTML Citation
Reference Manager


Repository Staff Only: item control page