The Catchment Area Of High Architectural
Railway Stations: An Application Of The
Graham Scan Algorithm
Author(s)
A. Cartenì, G. Galante & I. Henke
Abstract
Transit services quality has long been recognized as an important factor in
influencing travellers’ behaviour and a terminal’s architectural quality is
certainly part of it. As a matter of fact a number of transit promotion policies
explicitly based on qualitative factors and specifically high architectural
standards are being adopted in designing new railways stations. Several
examples of remarkable architecture applied to railways stations can be found all
round the world. The aim of this paper is to estimate and compare the
\“catchment area” of both traditional metro stations and high architectural quality
ones, taking advantage of the metro Line 1 in Naples (Italy), also called \“Metrò
dell’arte” (art in the Metro). This metro line is a high quality line where many
international level architects were involved to ensure high aesthetic quality
standards for the new stations. The originality of the experiment field is that the
rail network including both traditional and new metro lines (and stations)
connect homogeneous areas of the city, either for transport system accessibility
(same service frequency and same mode/service alternative) and for
socio-economic aspects (same population density, income and employment,
average age etc.).
Graham’s scan algorithm was used to estimate the catchment areas of the
Naples metro stations through transportation surveys conducted in 2013. The
estimation results show that the \“catchment area” of the high quality station is
greater than a traditional one, of approximately 99%. These results suggest that
high architectural standards for railways stations should be considered as an
explicit design variable in transportation planning.
Keywords: public transport quality, railways stations, architectural quality
impacts, Graham scan algorithm, travellers behaviour.
Keywords
public transport quality, railways stations, architectural quality
impacts, Graham scan algorithm, travellers behaviour.
Related Book
Other papers in this volume
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