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Proceedings Paper • Open Access • new

Visual analytics for railway network in Java Island

Paper Abstract

Train is one of mass transportation that contains spatial and attribute data. Based on one of the development services of the 2030 national railway, the innovation of Indonesian Ministry of Transportation is focused on the ease of uses, namely the public, academics, and policy-makers to access data and information through web-based maps (WebGIS). At present, railways data in Indonesia have been publicly accessible. But general visualization of railways data, which is clear and easily understood by the public have not available. Therefore, this research aims to visualize the results of railways data which interactively combining spatial data and attribute data. The data used for this research was obtained from the Indonesian Ministry of Transportation. Visualization of the data requires a search for patterns, relationships and trends. The data variables used in this research include railways status, station status, station class, station group, the distance between stations, as well as the location of stations and railway lines. The results of the data processing are maps presented in a dashboard map view with visual analytics features. The data are processed with QGIS then are visualized by Operations Dashboard for ArcGIS. Visual analytics method is used because the results can show the relationship between variables. It can be used as a reference for decision making to develop transportation infrastructure, especially of rail transportation. Maps and graphics are visually interactive so change one attribute can affect the other attribute display. The result of this research is named Peta Jalur Kereta Api Jawa.

Paper Details

Date Published: 21 November 2019
PDF: 7 pages
Proc. SPIE 11311, Sixth Geoinformation Science Symposium, 1131108 (21 November 2019); doi: 10.1117/12.2548481
Show Author Affiliations
Febrian Fitryanik Susanta, Univ. Gadjah Mada (Indonesia)


Published in SPIE Proceedings Vol. 11311:
Sixth Geoinformation Science Symposium
Sandy Budi Wibowo; Andi B. Rimba; Stuart Phinn; Ammar A. Aziz; Josaphat Tetuko Sri Sumantyo; Hasti Widyasamratri; Sanjiwana Arjasakusuma, Editor(s)

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