A Study on the Relationship between Bus Operation Environment and Level of Service of Intra-City Bus - In the place of Ulsan Metropolitan Area -

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;

Abstract
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)=$\small{-4.532+0.00002877*X_1}$(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)=$\small{-10.954+0.00004283*X_1}$(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)=$\small{-4.786+0.00003028*X_1}$(Revenue). Individual Operation Group : Y(Fleet Size)=$\small{-2.339+0.00002030*X_1}$(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.
Keywords
Regression analysis method;Variance analysis;Joint operation group;Individual operation group;Standard bus;Middle sized bus;
Language
Korean
Cited by
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