Advanced SearchSearch Tips
A Study on the Relationship between Bus Operation Environment and Level of Service of Intra-City Bus - In the place of Ulsan Metropolitan Area -
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
A Study on the Relationship between Bus Operation Environment and Level of Service of Intra-City Bus - In the place of Ulsan Metropolitan Area -
Kim, Beom-Ryong; Choi, Yang-Won;
  PDF(new window)
This study made an attempt to analyse the relationship between operation environment and fleet size per route which represents the level of service for inner-city bus service. Regression analysis method has been adopted as main analysis tool and 98 routes of bus operation status in Ulsan city as of 2013 has also been selected for analysis target. Correlation analysis was performed to identify the relationship between dependent and independent variables. There are three types of model for whole sample, type operation, and bus route operation system. These are the results of the current study. 1. The model developed for whole sample of 98 routes is as follows. Y(Fleet Size)=(Revenue). This model shows that it is necessary to have more than 140 passengers per day to increase fleet size of each bus route in Ulsan. 2. Models developed by type of operation (which are standard, express, and middle sized) are shown below. Stand Bus : Y(Fleet Size)=(Revenue). It is identified that more than 153 passengers need to use standard bus to increase fleet size per each standard bus, Middle Sized Bus : Y(Fleet Size)=-0.859+0.00001438*X1(Revenue). For middle sized bus, at least 52 daily passengers are needed to increase number of bus in each route. 3. Models developed for each route operation systems are as belows. Joint Operation Group : Y(Fleet Size)=(Revenue). Individual Operation Group : Y(Fleet Size)=(Revenue). These model provide similar result which 140 people is the minimum number of passenger to raise the number of vehicles in each route. This result shows that the route operation systems does not affect the raise number of cars significantly.
Regression analysis method;Variance analysis;Joint operation group;Individual operation group;Standard bus;Middle sized bus;
 Cited by
Attah, K. Boame. (2004). "The technical efficiency of Canadian urban transit systems." Transportation Research part E, Vol. 40, No. 6, pp. 401-416. crossref(new window)

Cowie, J. (2002). "Acquisition, efficiency and scale economies : an analysis of the British bus industry." Transport Reviews, Vol. 22, No. 2, pp. 147-157. crossref(new window)

Jo, G. S. (2009). An Analysis of the Effect of Government Subsidy Scheme to Bus Industry, Korea Research Institute of Transportation Industries (in Korean).

Jung, B. D., Kim, K. S. and Kim, K. H. (2013). "An investigation of the effect of government subsidy scheme to bus industry on the efficiency of inner-city bus route system." Journal of the Korea Society of Civil Engineers, Vol. 33, No. 6, pp. 2455-2464. crossref(new window)

Kim, J. S., Jo, H. J. and Park, J. S. (2007). "An effect analysis on the management and service evaluation system for bus company." Journal of Korean Society of Transportation Engineers, Vol. 25, No. 5, pp. 43-55.

Oh, M. Y., Kim, S. S. and Kim, M. J. (2002). "Analyzing efficiency in the seoul's urban bus industry data envelopment analysis." Journal of Korean Society of Transportation Engineers, Vol. 20, No. 2, pp. 59-68.