• Journal of Korean Society of Transportation
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• v.31 no.4
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• pp.67-75
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• 2013

The main objective of the research is to analyse the efficiency of bus route operation system which is comprised of Individual Operation System and Joint Operation System. While the reformation of bus route operation system has been usually considered as a service upgrade strategy for inner-city bus operation, it is comparatively difficult to have background information for policy establishment due to shortage of analytical research output. This study adopts Data Envelopment Analysis technique to estimate efficiency of 101 bus routes in Ulsan Metropolitan City which operates two types of operation systems at the same time as of 2009. The analysis results tells that the reason of inefficiency lies on pure technical factor for J.O.G., and scale factor for I.O.G.. It is also confirmed that there is bus route which inefficiently operated in I.O.G and city government needs to prepare the specific plan to upgrade pure technique efficiency before reformation of bus route operation system for successful installation.

• Proceedings of the Safety Management and Science Conference
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• 2005.05a
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• pp.65-80
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• 2005

대부분의 국가들이 노선버스의 운영을 공공부문에서 담당하고 있으나 우리나라를 비롯한 일부에서만 민간이 운영하고 있어 시민들을 위한 공익성만을 추구 할 수는 없는 입장이며 노선의 선정 또한 사업자와 공공이 협의하여 시행할 수밖에 없다. 이를 개선하기 위하여 버스노선 개편, 공동배차제 등 개선방안을 많은 지자체에서 시행하였지만 시민${\cdot}$업체${\cdot}$공공부문에서의 합의 도출은 지난한 상황이며 실행력이 없는 계획이 되고 있음을 여러 사례에서 볼 수 있다. Internet등 통신기술의 급속한 발달에 따라 통신을 통한 의사표출이 자유롭고 용이해지면서 일반지자체의 경우에 전체 민원 중 교통부문이 차지하는 민원이 $50\%$를 상회하고 있으며, 교통민원 중 $45.3\%$가 노선버스의 정시성 확보 및 운전기사의 불친절, 무정차 통과 등에 관한 것으로써 시민들이 가장 알고싶어 하는 사항이 버스의 실시간 운행상황임을 알 수 있었다. 따라서 본 연구에서는 실시간 버스정보제공을 통해 노선버스 이용자들의 대기시간 감소 및 이용편의를 증진시키고, 이를 통해 승용차 이용자를 대중교통수단으로 유도하여 대중교통을 활성화시키는 버스정보시스템(BIS ; Bus Information System)을 정립하며, 충주시 교통여건을 감안한 버스정보시스템 도입전략을 수립하고, 도입에 따른 기대효과를 분석하여 합리적이고 효과적으로 적용할 수 있는 지방자치단체 특히 충주시의 지능형 교통정보 시스템을 마련하는데 그 목적이 있다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.6
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• pp.1309-1320
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• 2015

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)=$-4.532+0.00002877*X_1$(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)=$-10.954+0.00004283*X_1$(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)=$-4.786+0.00003028*X_1$(Revenue). Individual Operation Group : Y(Fleet Size)=$-2.339+0.00002030*X_1$(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.