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A methodology to analyze road landscape in accident Black-Spots: the case of Southern Expressway, Sri Lanka

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dc.contributor.author Dharmasena, SR
dc.contributor.author Suresh, EAT
dc.date.accessioned 2023-04-06T07:52:22Z
dc.date.available 2023-04-06T07:52:22Z
dc.date.issued 2018
dc.identifier.citation ....... en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/20858
dc.description.abstract The Road Landscape creates the character and the spatial quality for safe driving. It is evident that the spatial qualities of the road landscape have impacted on road accidents once the field data is analyzed. Identification of accident-prone areas (Black-Spots) is the vital factor for road safety management process. The study focused on to developing a methodology to visually analyze road landscape with using identified Black-Spots in Southern Expressway, Sri Lanka. Data is collected and analyzed as two phases; one is from recorded accidents data and other from a live recording of the expressway driving stretch. This study highlighted the possibilities of analyzing the identified ‘Black-spots’ by using Photo-Fixation method. In conclusion, the study emphasizes the possibility of using a qualitative methodology to analyze the road landscape through spatial characteristics; which can be developed up to a more advanced level to identifying driving behavior related accidents and to take migratory actions. en_US
dc.language.iso en_US en_US
dc.subject Road safety en_US
dc.subject black-spot en_US
dc.subject driving behavior en_US
dc.subject road landscape en_US
dc.title A methodology to analyze road landscape in accident Black-Spots: the case of Southern Expressway, Sri Lanka en_US
dc.type Article-Full-text en_US
dc.identifier.year 2018 en_US
dc.identifier.journal International Journal of Architectural Research en_US
dc.identifier.issue 2 en_US
dc.identifier.volume 12 en_US
dc.identifier.database Archnet en_US
dc.identifier.pgnos 347-357 en_US
dc.identifier.doi http://dx.doi.org/10.26687/archnet-ijar.v12i2.1547 en_US


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