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dc.contributor.authorIsmail, Mohamed
dc.contributor.authorSaid, M.
dc.date.accessioned2018-08-08T04:42:15Z
dc.date.available2018-08-08T04:42:15Z
dc.date.created2018-08-08T03:50:41Z
dc.date.issued2014
dc.identifier.citationIsmail, M. and Said, M. 2014. Integration of geospatial multi-mode transportation systems in Kuala Lumpur.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/69759
dc.identifier.doi10.1088/1755-1315/20/1/012027
dc.description.abstract

Public transportation serves people with mobility and accessibility to workplaces, health facilities, community resources, and recreational areas across the country. Development in the application of Geographical Information Systems (GIS) to transportation problems represents one of the most important areas of GIS-technology today. To show the importance of GIS network analysis, this paper highlights the determination of the optimal path between two or more destinations based on multi-mode concepts. The abstract connector is introduced in this research as an approach to integrate urban public transportation in Kuala Lumpur, Malaysia including facilities such as Light Rapid Transit (LRT), Keretapi Tanah Melayu (KTM) Komuter, Express Rail Link (ERL), KL Monorail, road driving as well as pedestrian modes into a single intelligent data model. To assist such analysis, ArcGIS's Network Analyst functions are used whereby the final output includes the total distance, total travelled time, directional maps produced to find the quickest, shortest paths, and closest facilities based on either time or distance impedance for multi-mode route analysis. © Published under licence by IOP Publishing Ltd.

dc.titleIntegration of geospatial multi-mode transportation systems in Kuala Lumpur
dc.typeConference Paper
dcterms.source.volume20
dcterms.source.issn1755-1307
dcterms.source.titleIOP Conference Series: Earth and Environmental Science
dcterms.source.seriesIOP Conference Series: Earth and Environmental Science
curtin.departmentCurtin Malaysia
curtin.accessStatusFulltext not available


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