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Automatic Generation of Station Catchment Areas: A comparison of Euclidean distance transform algorithm and location-allocation methods

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Open access
Authors
Lin, Ting
Palmer, Richard
Xia, Jianhong (Cecilia)
McMeekin, David
Date
2014
Type
Conference Paper

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Lin, T. and Palmer, R. and Xia, J. and McMeekin, D. 2014. Automatic Generation of Station Catchment Areas: A comparison of Euclidean distance transform algorithm and location-allocation methods, in 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Aug 19-21 2014. Xiamen, China: IEEE.
Source Title
2014 ICNC-FSKD Conference
Source Conference
2014 ICNC-FSKD Conference
DOI
School
Department of Spatial Sciences
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This research was supported by an Australian Research Council Linkage grant (LP110201150)

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Abstract

A train station catchment area can be generated in two ways: by surveying train users or by modelling methods. The former method is time consuming and labor intensive. In this paper attention was given to develop methods that automatically generate station catchment areas. This study’s aim was to compare two modelling methods: the Euclidean Distance Transform / Voronoi Diagram Generation method and a location and allocation method for automatically generating station catchment areas. A case study of the Perth Metropolitan area, in Western Australia, was used to implement these two methods. The results from these two methods are consistent and the methods demonstrate robustness for understanding the nature of station catchment areas and provide useful insights for public transport planning in Perth.