Offering Airport Ramp Accidents Model and Strategies for its Reduction (Case Study: Mehrabad Airport, Tehran)

All-day events and accidents occur frequently in various parts of transport that it has a high cost. In the aviation industry due to expensive facilities and equipment, costs arising from accidents would be highly salient. Over fifty percent of aviation accidents, incidents of airport rampby various factors is occurs (which is the main cause of human error). The purpose of this study is to provide a model to predict project in Airport Ramp Accidents and the impact of each factor in the accident show to preventative work to be done to reduce and minimize accidents. The case study is based on data from the years 1386 to 1389 are in the airport and the general, neural network and fuzzy regression model have been used. The models are calibrated and analyze and the two variables "number of small aircraft" and "average age of planes," ", respectively, with coefficients of 0.34 and 0.29 were identified as major contributing factors in accidents and preventive strategies in this regard arises.