Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Civil Engineering

Metro transportation systems play a pivotal role in enhancing the productivity and quality of life in Egypt. It is considered the back bone of transportation in Cairo. However, although large numbers of passengers whose uses it daily, it has not the adequate attention specially stations. The current situation for Cairo metro stations, especially terminal stations and its surrounding areas have a bad effect on environment and bad financial revenue to the Metro. Thus this research proposed a methodology that helps to apply multilateral investments in metro terminal stations to gain extra profits and also decrease the bad environmental effect in terminal stations and its surrounding areas. Hence, Helwan-Metro station has been considered as a case study to show the possibility of applying various investments in the stations. Using of Artificial Neural Network technique (ANN) using Just NN software to calculate the initial cost and the Net Present Value (NPV) to achieve the investment feasibility for the project. Also, applying BOT as a method to fund the project

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