Condition Assessment of Subway Stations

Condition assessment of subway stations is a major issue facing public transit authorities worldwide. The principal obstacle to the development of effective planning strategies is the lack of condition assessment models of subway stations. This books introduces a new methodology for the condition assessment of subway stations, entitled, the 'Subway Station Diagnosis Index (SSDI)'. The SSDI model is used to diagnose a specific subway station and assess its condition using an index (0 to 10). Based on the SSDI, the condition scale describes the station's condition state, its deterioration level (%), and proposed consequent actions. The new methodology identifies and evaluates the different functional criteria for subway stations; mainly structural, architectural, mechanical, electrical, security and communications. It uses specific multi-criteria decision analysis tools in order to evaluate a 'Functional Diagnosis Index' (FDI), and a global 'Station Diagnosis Index' (SDI). This book is relevant to industry practitioners (management, engineers, and field inspectors) and researchers, since it presents a multi-criteria condition assessment model and scale for subway stations.

Autorentext

Nabil M. Semaan: PhD in Building Engineering from Concordia University, Montreal. Assistant Professor at the University Of Balamand, Lebanon. Chairman of the Engineering Management graduate department. Winner of the PMI best project in 2008, and winner of Outstanding Scholastic Achievement of Golden Key International Honor Society.