• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.2
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• pp.50-68
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• 2024

This study developed a bus route sketch (BRS) methodology for utilizing bus route design and operation steps in practice and evaluated the feasibility of the method. The BRS methodology consists of three steps: transportation zoning suitable for the provider and users of bus transit service; determining the bus operation route based on established transportation zones and path combination; optimizing the operation route based on the estimation of route alternatives in terms of the multi-performance measures from the standpoints of bus-transit service provider and user. The results of a case study showed that the estimation scores from the perspectives of provider and user were improved significantly from 8.83 and 7.13 to 9.50 and 9.89, respectively. Because the BRS method was designated and developed to be suitable for field application for route planning and operation, the method can be used instantly and directly to estimate and adjust the on-operation bus transit line and route design.

• Journal of Korean Society of Transportation
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• v.27 no.1
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• pp.63-71
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• 2009

The purpose of this paper is to identify unreliable routes in the view of users. After headway error ratio per route and travel time error ratio per route were calculated by using BMS data, reliability which incorporated two indicators each route was calculated through data envelopment analysis. Reliability among routes and among traffic zones was compared through the results, the needs to improve severely unreliable routes and to show passengers adjusted bus schedule information considering current reliability were suggested. As a future study, reliability evaluation framework of each route needs to be developed considering operation environment by analyzing bus card data (passengers and operation speed etc.) and pooly unreliable route should be managed strictly and reformed.

• Journal of Korean Society of Transportation
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• v.25 no.4
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• pp.123-133
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• 2007

This study analyzed whether a transit network with hierarchy is efficient or not, and if transit network hierarchy has cost efficiency, then which condition guarantees the efficiency of the transit network hierarchy. The authors modeled the total cost of the transit network and suggested the conditions in which the transit network hierarchy has cost efficiency through comparing the cost of the transit network with and without hierarchy. The efficiency of transit network hierarchy is guaranteed when the travel cost savings induced by using a higher hierarchy transit network is larger than the increasing non-travel cost, which is the sum of access cost, waiting cost, and operating cost, induced by the introduction of a higher hierarchy transit network. This result is consistent with common sense and with the concept of cost and benefit analysis. If a passenger traveling within the area divided by a higher hierarchy transit network uses only a lower hierarchy transit network and the passenger traveling out of the area divided by the higher hierarchy transit network uses both lower and higher hierarchy transit networks, the travel demand using the higher hierarchy transit network is inversely proportional to the square of the line spacing. This means that the transit network becomes more efficient and small increases of travel demand guarantee the efficiency of the transit network hierarchy as the connectivity of the network becomes higher. This result shows that transit networks have economies of aggregation. This study is the first analytical research on transit network hierarchy and is expected to be a basis for numerical research. However, numerical research should complement this study, since analytical research has some limitations for considering a real network.

• 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.

• Journal of Korean Society of Transportation
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• v.27 no.6
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• pp.45-53
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• 2009

This study presumes the efficiency of each route by utilizing data of Seoul's exclusive bus routes for the 2008 and the DEA model. In the estimation, it is assumed that the number of passengers and profits of each route is calculated by considering the number of buses and stops, travel distance, intervals and management cost. This study computed the efficiency scores of each bus line in Seoul based on the data for the first half of 2008 and one of the DEA models, namely the BCC model. After analysis using the input-oriented BCC model, out of a total of 18 lines of interest, there were 2 CRS lines and 16 IRS lines. Also, the Tobit Regression Analysis that helps identify the impact of the elements used in the analysis on efficiency scores proved that the most influential element to exclusive buses is the length of intervals.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.19 no.2
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• pp.137-146
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• 2001

Route selection needs the analysis function of GSIS to analyze and manipulate a lot of spatial information efficiently. Therefore, it needs the linkage of system requiring the knowledge and the experience of experts as a method that can estimate each quantitative route for an efficient route selection. In this study, the route selection model through construction and analysis procedure of position information using GSIS were presented, and route selection system linked with expert system was developed. This system is easy to be used and managed for presenting route alignment according to conditions as a graphic user interface environmental window system by applying three tiers based object-oriented method. Using GSIS, the various information required for route selections in database was constructed, the characteristics of subject area by executing three-dimensional terrain analysis was grasped effectively, and the control point through buffering, overlay and location operation was extracted. Three alternative routes between a beginning point and an end point inputted by route selection system were selected. Therefore, the applications of the route selection system are presented by applying this system to the real study area.

• Journal of Navigation and Port Research
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• v.29 no.5 s.101
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• pp.421-429
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• 2005

Traditionally, determination of the optimal containership size is the most important factor for competitiveness of shipping companies in the shipping market. Under this environment, many shipping companies and researchers have studied about it. The objective of this research is to determine the optimal containership size using a total shipping cost in the main trunk lines. Total shipping cost is calculated at the ground of capital costs, vessel operation costs, voyage costs, port charges and miscellaneous costs for 'Europe-Far East', 'Far East-North America' and 'Europe-Far East-North America' services. Analysis results showed that the 6,500TEU containership is an optimal size on the 'Europe-Far East' and 'Europe-Far East-North America' services. And the 8,200TEU containership is an optimal size on the 'Far East-North America' service. Moreover, if the larger containerships over 8,200TEU class start operation afterward, it would be less competitive in the analyzed 3services.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.174-179
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• 2006

본 연구에서는 지하철 노선, 지하수 양수량 및 상수도 누수량 등 도시유역에서 물순환에 큰 영향을 미치는 인공적 요소들을 분포형 수문모형에 반영하여 물순환을 모의하였다. 분포형 수문모형으로는 일본토목연구소에서 개발된 WEP 모형을 사용하였다. 입력자료 구축시 지하철 노선을 따라서 제1투수층, 제1난투수층, 제2투수층의 투수계수를 낮게 설정하여 지하철 노선의 영향을 반영하였으며, 지하철역 및 구별 지하수 양수량, 상수도 누수량을 모형의 입력자료로 구축하였다. 모의결과를 서울시 지하수관측공의 실측 자료와 비교하여 양호한 결과를 얻을 수 있었으며, 유역 스케일에서의 지하수위 분포양상을 모의할 수 있었다. 지하철 노선, 지하수 양수량, 상수도 누수량 등을 고려, 미고려시를 별도로 모의하여 각각 요소가 물순환에 미치는 개별적 종합적 영향에 대해 평가하였다.

• 한국공간정보시스템학회:학술대회논문집
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• 2005.05a
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• pp.407-412
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• 2005

본 연구에서는 노선선정 시 요구되고 있는 방대한 자료와 결정요소 등을 선택하여 의사결정체계인 계층분석과정을 이용하여 합리적인 노선선정의 방법을 제시하고 이를 평가하고자 하며, 이렇게 수행된 노선선정 결과를 지혈공간정보체계를 이용하여 시각화 및 분석하고자 한다. 구체적인 적용방법은 계층분석과정으로 선정된 평면선형을 분석하고 그것을 기반으로 종단선형의 설계를 종단경사 변화에 의한 다각적인 방법으로 분석하여 합리적인 노선선정을 도출하여 평가하고자 한다.

• Journal of Korean Society of Transportation
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• v.23 no.3 s.81
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• pp.35-47
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• 2005

This paper is to review a literature concerning Bus Transit Route Network Design(BTRNDP), to describe a future study direction for a systematic application for the BTRNDP. Since a bus transit uses a fixed route, schedule, stop, therefore an approach methodology is different from that of auto network design problem. An approach methodology for BTRNDP is classified by 8 categories: manual & guideline, market analysis, system analytic model. heuristic model. hybrid model. experienced-based model. simulation-based model. mathematical optimization model. In most previous BTRNDP, objective function is to minimize user and operator costs, and constraints on the total operator cost, fleet size and service frequency are common to several previous approach. Transit trip assignment mostly use multi-path trip assignment. Since the search for optimal solution from a large search space of BTRNDP made up by all possible solutions, the mixed combinatorial problem are usually NP-hard. Therefore, previous researches for the BTRNDP use a sequential design process, which is composed of several design steps as follows: the generation of a candidate route set, the route analysis and evaluation process, the selection process of a optimal route set Future study will focus on a development of detailed OD trip table based on bus stop, systematic transit route network evaluation model. updated transit trip assignment technique and advanced solution search algorithm for BTRNDP.