• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.1
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• pp.52-64
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• 2023

This paper concentrated on estimating the travel time value of individual regional bus passengers in various in-vehicle crowding conditions. In the analysis model, the traffic-selection data of individual transportation passengers based on smart-card data were used. Variables which reflect the level of in-vehicle crowding and the variables of in-vehicle travel time that reflect the level of in-vehicle crowding were included in the model using Box-Cox transformation. The result of this paper indicates that the travel time value experienced by individual users would increase as the in-vehicle crowding level increases. The smart card data used in this paper is considered to have significant implications in terms of conducting more sophisticated and realistic qualitative research to reflect the values of variables for in-vehicle traffic hours and in-vehicle crowding levels, which previously had limitations in observation and quantification. It is expected that the effects of improvement measures for reducing congestion on regional buses can be considered quantitatively by applying the estimation results of crowding multiplier.

• Journal of Korean Society of Transportation
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• v.25 no.5
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• pp.209-231
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• 2007

This paper suggested an approach to characterize travel choice behaviors using the implicit price instead of the indirect utility. The choice criterion to compare the implicit prices of available trip options was developed from the utility maximization problem of a trip maker which is supposed to choose the best option from the available ones differentiated by only by the quantitative attributes such as travel cost and time but also by qualitative attributes such as comfort and safety. The utility maximization problem is constructed under household production theory, and is incorporated with a special kind of joint homogeneous production functions. The implicit price of a certain trip option is the sum of the monetary price and the multiple of travel time and the value-of-travel-time, and the value-of-travel-time refers to the portion of wage, which can be assignable to the trip-making activity. This choice criterion is statistically identifiable, and behaviorally plausible. Moreover, this criterion has the expression simpler than the indirect utility, and therefore could be an effective target of the statistical estimation for travel choice behaviors.

• Journal of Korean Society of Transportation
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• v.16 no.4
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• pp.53-64
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• 1998

본 연구의 목적은 '96년말 서울시에서 실시한 가구통행조사를 이용하여 서울시 수단선택모형을 구축하고 그 예측결과를 남산 혼잡통행료 전후저사자료와 비교하여 보다 구체적으로 그 정확성을 검증한 뒤 향후 서울시 교통수요관리 방안의 시행에 따른 수단선택변화 예측의 기본 모형으로 활용하는데 있다. 5가지의 대안모형의 분석결과 통행비용변수(승용차의 경유 주차요금포함)와 총통행시간변수(OVTT와 IVTT의 합), 승용차, 지하철, 택시상수로 구성된 모형이 최적모형으로 분석되었다. 이모형에 의한 시간가치는 9,395원, 승용차의 비용탄력성은-0.6767로서 기존 연구결과의 범위 내에 속한 것으로 나타났다. 최적모형을 이용하여 승용차통행비용이 증가한 경우를 모사분석결과 남산1,3호 터널 혼잡통행료 징수효과와 유사하게 승용차 분담율이 13% 가까이 감소한 것으로 나타나서 모형의 현실적합성도 비교적 높은 것으로 판명되었다. 향후 본 연구에서 선정된 최적수단선택모형을 통행배정모형과 결합하여 다양한 교통수요관리 방안에 따른 효과를 예측하는데 활용하면 서울과 같은 대도시의 단기적 교통관리의 수준을 한 단계 높이는데 기여할 것으로 판단된다.

• Journal of Korea Port Economic Association
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• v.25 no.4
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• pp.183-202
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• 2009

This study estimates the port waiting cost of international trade ports in Korea by an opportunity cost approach. In the next step, we present a method to assess the levels of port services by the average waiting cost of ships derived from the results of the first step. Because the port waiting cost reflects the social cost, it is difficult to use as a service indicator even though it is the decision support information for a particular port facility expansion. The percentages of waiting ships and time also are insufficient indicators to reflect only the quantitative aspects by the time. However, the average waiting cost of ships in this study can be utilized as a service indicator to reflect waiting time and the loss of economic value simultaneously. It is also very useful information for a shipper and a carrier to select a port. Based on the average waiting cost of ships in 2007, it is analyzed in order of lowest service ports sequentially such as Pyeongtaek-Dangjin, Pohang, Donghae, and Samcheonpo. It is different from the sequential order of ports by the port waiting cost such as Pohang, Incheon, Gwangyang, Pyeongtak-Dangjin, and Ulsan. The port waiting cost is to a port authority as a key indicator what the average waiting cost of ships is to a port user as a useful indicator to evaluate the levels of port services.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.6 no.3
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• pp.153-164
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• 2007

Nowaday, in Korea, many u-City projects have been developed as a core business in the new town development project by national or local level of government. However, the new business projects have some problems, such as excessive number of u-services, increased project funds and period, and lower u-services due to lack of u-service evaluation methodologies. Therefore, this paper proposes a new u-service evaluation methodology to solve current problems. The methodology gives an ability to guard general u-service groups for reaching the main goal of the u-City project, and then select alternative u-service groups against being limited by the law and technology in the project year. Besides, as a key variable on performing u-City plans, the complexity between stakeholders is considered in the methodology. Finally, through the Optimal Sequential Method in the methodology, the maximum value of u-service group is obtained as a optimal service group of u-City.

• Korean Journal of Construction Engineering and Management
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• v.12 no.3
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• pp.91-100
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• 2011

Green technologies of buildings are spreading for saving resource and energy consumption during life cycle of buildings. However, selection of optimized the technologies for applying projects is needed a lot of time and costs. Therefore prioritization is necessary to apply the technologies for buildings. An evaluation of economic value for the technologies is significant for prioritization of the technologies, however, the current evaluation system of economic value for technologies is not reflected the accurate features of the technologies. Green technologies have the objectives for reducing the emission of CO2 and saving the cost during the whole lifecycle of buildings. Thus the evaluation of economic feasibility for green technologies is needed to include the economic value from improving the environment. This paper developed the economic evaluation method integrated with LCC and LCA to accurately analyze the economic value for green technologies. Moreover, this paper drew the priority of the technologies by conducting case studies with the integrated method and analyzing the results with AHP. The conclusion of case studies, Green technologies is worth more if to include the economic value from improving the environment. Then in analysis of priority, Green intelligent component technologies were rated the highest. The conclusion of the study is able to utilize the supporting tool for making decision to select the optimized technologies for the projects and precedence study for developing future research of prioritization for green technologies. The future study for improving the developed method will supplement the various evaluation factors and apply the detailed weight to analyze the priority of green technologies.

• Journal of the Korean Society for Library and Information Science
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• v.44 no.4
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• pp.231-247
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• 2010

This research examines a number of theoretical and practical issues when measuring the economic value of library services. In particular, using two recent studies conducted in Korea as illustrations, the study shows how various measurement decisions affect the final outcomes in the economic valuation of library services and thus points to the need for a more reliable study design. Specific areas of measurement discussed include the following: scope of measurement, application of CVM(Contingent Valuation Method), time vs. monetary value measurement, dealing with outliers, allowing alternatives, and the use of estimation. ROI(Return on Investment) scores or benefit cost ratios vary significantly according to different measurement choices even in the same study. There is a need for collecting qualitative data that complements the quantitative data typically collected in economic valuation studies. The outcome of economic valuation of library services should be considered as one of many representations of library values. Practitioners and researchers should exercise caution in interpreting those results but be able to leverage them to better communicate the value of library services.

• Proceedings of the Korean DIstribution Association Conference
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• 2000.05a
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• pp.175-185
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• 2000

최근 전세계적으로 전자상거래(electronic commerce, EC)가 초미의 관심사가 되고 있다. EC는 크게 기업과 기업간(business-to-business, B2B)거래, 기업과 소비자간(business-to-consumer, B2C)거래, 정부와 기업간(government-to-business, G2B)거래, 그리고 소비자와 소비자간(consumer-to-consumer. C2C)거래로 구분할 수 있다. 그 중 B2C의 대표적 형태인 인터넷 쇼핑의 확산은 시간, 거리, 장소의 제약을 초월하여 상품정보, 대금지불, 배송까지 일괄처리하기 때문에 소비자에게는 편리함, 경제성 및 쇼핑의 즐거움을 제공하고 기업에게는 시장범위 확대, 거래비용 감소 등의 효과를 가져온다. (중략)

• Proceedings of the Korean Information Science Society Conference
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• 2003.04d
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• pp.382-384
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• 2003

IMF 이후 기업들은 구조조정을 통한 체질개선에 총력을 기울임과 동시에 그 동안의 외형적 성장에서 탈피하여 투자 자본의 효율 향상을 위해 기업가치를 극대화하려고 노력하고 있다. 따라서. 각 사업체의 중점 육성 부분과 매각 부분을 선별하게 되었으며, 이해 사 간의 인수 합병이 빈번히 일어나고 있다. 그러나, 이렇게 생성된 기업체의 경우, 기존 전산 시스템의 하드웨어, 소프트웨어, 데이터베이스 등의 불일치로 통합에 많은 시간과 비용이 발생하고 있다. 따라서, 본 논문에서는 기존 전산 시스템의 플랫폼 불일치를 극복하며, 기존 시스템으로부터 개발되는 새로운 시스템으로의 전이를 자연스럽게 해줄 플랫폼 독립적인 대용량 데이터 동기화 서버(SyncDB2DB)를 설계한다.

• Spatial Information Research
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• v.22 no.5
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• pp.65-75
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• 2014

Bus headway plays an important role not only in determining the passenger waiting time and bus service quality, but also in influencing the bus operation cost and passenger demand. Previous research on headway control has considered only an hourly difference in the distribution of ridership between peak and non-peak hours. However, this approach is too simple to help manage ridership demand fluctuations in a short time scale; thus passengers' waiting cost will be generated when ridership demand exceeds the supply of bus services. Moreover, bus ridership demand varies by station location and traffic situation. To address this concern, we propose a headway control algorithm for minimizing the waiting time cost by using Smart Card data. We also provide proof of the convergence of the algorithm to the desired headway allocation using a set of preconditions of political waiting time guarantees and available fleet constraints. For model verification, the data from the No. 143 bus line in Seoul were used. The results show that the total savings in cost totaled approximately 600,000 won per day when we apply the time-value cost of waiting time. Thus, we can expect that cost savings will be more pronounced when the algorithm is applied to larger systems.