Institute of Transportation, MOTC

Chi-Yuan Lee, 2008.06
Institute of Traffic and Transportation National Chiao Tung University

　　Mass Rapid Transit(MRT) provides effective transportation service with high number of runs, high capacity, high speed, high safety and comfort. It is one of the approaches to solve urban transportation problems of congestion. MRT stations play the part of important nodes to passenger collection and distribution. The characters of passengers in MRT stations are different from general pedestrians. They have characters of complex circulation, high fluctuation, trend of time and trend of direction . Especially the main station and the transfer station always crowded. 　Therefore, safety of passenger facilities and space planning are the essential considerations in planning, building and operating MRT stations. Lots of studies discuss planning and management of emergency conditions. However, studies about classification and management of abnormal conditions are not well developed until now. The primary objective of this study is to develop a classification of abnormal conditions in MRT station.

　　In this study, operating processes of heavy-capacity transit system in TRTC are chosen to be the base. Two dimensions “Range of Abnormal Condition” and “Time of Abnormal Condition” have been defined and weighted by related importance through Delphi Method and Multi-objective Programming to establish the framework of classification of abnormal conditions. Finally a standard for measuring seriousness of abnormal conditions in MRT stations is developed by Fuzzy Theory and defined through a grade from A to E. This study provides the classification of abnormal conditions, and conceptually draw up the operating processes of abnormal conditions for staffs in MRT station to follow.