Road Watch in the Pass is a citizen-science project that engages local citizens in reporting wildlife observations along a 44-km stretch of Highway 3 through Crowsnest Pass in southwestern Alberta, Canada. The numbers of wildlife vehicle collisions and a recent proposal to expand the highway have raised concerns from both human safety and wildlife conservation perspectives. Through the use of a web-based GIS, interested citizens can contribute information that will be instrumental in making final decisions concerning measures to mitigate the effects of highway expansion. Currently, 58 people have contributed over 713 observations to Road Watch. We performed a preliminary comparison of 11 months of Road Watch observations and wildlife mortality data for the same time period to demonstrate that the use of citizen science not only augments more conventional approaches, but also results in the emergence of new knowledge and insights. A Kappa index of agreement of 14% indicates poor agreement between the data sets, highlighting that wildlife successfully cross the highway in areas not identified by the wildlife mortality data. This has important implications for design and mitigation efforts for Highway 3 and other roadways.
International Journal of Computational Intelligence Systems, Vol 7, Iss 6 (2014)
Strategic Risk Reduction, Strategic Method, Defect Detection and Prevention, Risk Reduction Leverage, Ant Colony Optimization, Electronic computers. Computer science, and QA75.5-76.95
Risk Management is one of the key cares of any organization strategic management; proper benefit of risk management is finding risks and their solutions. In this article, we will suggest a new Strategic Risk Reduction technique for producing optimal risk reduction strategies; which reduce risk exposure for expected income by allowing several countermeasures per risk rather than one countermeasure as previous works did. Our Strategic Risk Reduction will be optimized using Ant Colony Optimization approach.