Integration of Transit Demand for Bus Route Design in Ulaanbaatar

Abstract

As a developing country and poor transportation system the city of Mongolian bus route system could not serve in most of distal part. The objective of this paper is applying big data and transit demands data to develop a methodology for planning and designing a cost and service efficient transit network. In this paper a new bus route generating model is proposed by integrating an existing bus network with real demand data from Bayanzurkh district. The result of this paper shows that the proposed methodology can increase 26.8% of the service rate and decrease 9% costs.