Identifying locations along railway networks with the highest tree fall hazard

摘要: Abstract Disruptions of railway traffic have many reasons. Tree falls onto tracks or overhead lines rank among the most common causes disruptions a natural origin. 2039 tree-fall events, containing up to 70 individual trees per event, were registered on Czech network between 2012 and 2015. 32% them directly caused by 14 weather extremes during which more than 20 concurrent events registered. Moreover, 12 train derailments due fallen railways within same period. We combined land use data along tree falls. Land obtained from freely available Open Street Map database. The fall hazard was then computed using empirical data, generalized rule succession. clustering approach also applied focus localities where concentrated regardless resulting segment hazard. There 59 rail track segments (out 2960) with highest 267 clusters finally identified. hazardous will be first in process line side vegetation monitoring order minimize potential losses fall. presented method can widely applicable elsewhere.