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http://dx.doi.org/10.15683/kosdi.2017.06.30.199

Estimating Equipment and vehicle Demands for Snow Removal Tasks by Road Snow Removal Scenarios  

Kim, Heejae (Department of Urban Planning, Kangnam University)
Kim, Sunyoung (Department of Urban Planning, Kangnam University)
Kim, Geunyoung (Department of Urban Planning, Kangnam University)
Publication Information
Journal of the Society of Disaster Information / v.13, no.2, 2017 , pp. 199-212 More about this Journal
Abstract
Rapid roadway snow removal is significantly important due to difficult occurrence estimation of heavy snowfall disasters by global warming and climate change. Local governments of S. Korea have snow removal equipments and vehicles based on past experiences without considering snowfall and roadway characteristics. The objective of this research is to develop the demand estimation procedure for snow removal equipments and vehicles based on regional snowfall and roadway characteristics. This research first classifies regional snowfall characteristics using KMO's ten-year snowfall data. Second, roadway snow removal length is computed for local governments. Real possession data is compared with demand estimation of snow removal equipments & vehicles for each local government with roadway snow removal scenarios. Finally, required demands of snow removal equipments & vehicles are predicted by concerning regional snowfall amount and required snow removal hours. Results from this research are used for developing heavy snowfall disaster management policies for optimal demands and snow removal routes of 229 local governments.
Keywords
Road snow removal scenario; Road type; Regional snowfall classification; Snow removal equipment; Snow removal vehicle;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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