Supporting a decision for metro station restoration based on facility assessment: application to Cairo metro stations

Abstract

AbstractSubway stations play a significant role in big cities today. This research aims to develop an integrated system that makes the best use of the budgets allocated for the rehabilitation of Cairo metro stations, based on stations condition assessment. The main problem is the lack of accurate assessment and decision-making optimization tools for Cairo metro stations condition. This, in turn, adversely affects the stations selected for rehabilitation and, thus, the misdirection (non-optimal) of the budgets allocated to the development of these stations. The appropriate methods and techniques of collecting and analyzing data are applied. They were collected from the reviewed literature concerning subway station facility management systems, as well as experts in the field. Data collection was followed by the analytic hierarchical process (AHP) and linear programming/integer programming and ended with the selection of stations prior to restoration or maintenance depending on the available budget or capital program. This system would be helpful in subway stations facilities decision-making by the concerned authorities like NAT (National Authority of Tunnels) or Cairo Metro Co. This system was applied to a sample of Cairo metro stations and concluded with some results. The first of them is reducing and optimizing the great allocated budgets by using the developed model. Another result is that the most important factors influencing the evaluation of the metro station are the structure, architecture, and hydromechanics, respectively.