Study on optimization strategy of resources operational management for urban rail transit

Abstract

Due to poor operational condition and low profits of urban rail transit, the operational management strategies cannot meet travelers' traffic needs. Through analyzing the current urban travel demand, the unbalanced traffic feature is found based on urban rail transit as the backbone. The passenger flows were divided into the peak period, the middle period and the low passenger flow period. There are adequate passengers during the peak period; the city transportation system capacity was utilized fully. The scarcity passengers appear during the middle and the low period, which result in the idle of transport capacity. In order to improve the operational profit and attract more passengers of urban rail transportation, the transportation share model was analyzed based on utility theory. The fares competition mechanism was analyzed between urban rail transit and public bus. The operational optimization strategy of the flexible tickets price and the appropriate interval time were proposed. Take Guangzhou as a test example, the results show that the daily passenger flow increased 17.06% based on the comprehensive optimization strategy. © Springer-Verlag 2012.