• 한국산림과학회지
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• 제98권3호
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• pp.297-304
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• 2009

본 연구는 국립공원 입장료 폐지 후 탐방수요가 급증한 북한산국립공원의 사회 심리적 수용력을 평가하고 생태적 수용력 관리를 위한 단계별 관리전략 마련을 위해 수행되었다. 현지 설문조사는 2008년 10월 북한산국립공원 탐방객 512명을 대상으로 이루어졌다. 한계효용이론 모델을 이용하여 분석한 결과 북한산국립공원의 1일 사회 심리적 수용력은 약 65,000명으로 추정되었다.

• 무역상무연구
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• 제35권
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• pp.41-69
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• 2007

This study analyzes some important implications for the forthcoming revision of eUCP through the methodology of expected utility maximization theory. The overall results are as follows. First, beneficiary with an initial wealth has a risk-averse utility in traditional letter of credit transaction, and he would be more risk-averse in eUCP transaction. Secondly, the beneficiary who has risk-averse utility will pay for the risk premium to reduce the risk of corruption of an electronic record by means of cost of loss reduction activities. Thirdly, the cost of loss reduction activities is represented by a convex cost function, Fourthly, a risk averse beneficiary pursues loss reducing activities to the point where the expected marginal product of loss reduction is less than its marginal cost. Fifthly, a more risk-averse eUCP beneficiary will always select a higher level of loss reduction as long as the effectiveness of loss reduction is certain. Sixthly, when the effectiveness of loss reduction is uncertain, the more risk-averse eUCP beneficiary does not necessarily choose a higher level of loss reducing activities. Finally, it would be more reasonable that eUCP Article 11 should protect eUCP beneficiary who pursues a higher level of loss reducing activities.

• Journal of Electrical Engineering and Technology
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• 제9권3호
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• pp.803-811
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• 2014

The moment when Electrical Vehicle (EV) starts charging or discharging is one of the most important parameters in estimating the impact of EV load on the grid. In this paper, a decision-making problem of determining the start time of charging and discharging during allowed period is proposed and studied under the uncertainty of real-time price. Prospect theory is utilized in the decision-making problem of this paper for it describes a kind of decision making behaviors under uncertainty. The case study uses the parameters of Springo SGM7001EV and adopts the historical realtime locational marginal pricing (LMP) data of PJM market for scenario reduction. Prospect values are calculated for every possible start time in the allowed charging or discharging period. By comparing the calculated prospect values, the optimal decisions are obtained accordingly and the results are compared with those based on Expected Utility Theory. Results show that with different initial State-of-Charge ($SoC_0$) and different reference points, the optimal start time of charging can be the one between 12 a.m. to 3 a.m. and optimal discharging starts at 2 p.m. or 3p.m. Moreover, the decision results of Prospect Theory may differ from that of the Expected Utility Theory with the reference points changing.

• 국토계획
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• 제54권3호
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• pp.15-26
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• 2019

The development of science and transportation technology leads to the increase of inter - city networks that play an important role in urban growth. Overall, numerous studies based on network theory pay attention to positive effects of urban network on urban growth. However, some studies have pointed out the negative effects of inter-city interactions such as straw effects. This implies that the network between cities may not be positively correlated with urban growth, and that the direction of the influence may vary from a certain threshold, such as the marginal utility curve. In this context, the purpose of this study is to measure the impacts of network with central city on urban growth in the capital region and examine the relationship between urban network and growth. Two multiple regression models are employed with changes in population and employment as dependent variables. The urban network index and other control variables are used as independent variables. Especially, the urban network indexes are used in quadratic forms to examine non linear relations with urban growth such U-shape or an inverted U-shape. The results show that the relationships between networks with the central city and urban growth are not a simple linear, and the influence can be changed from the critical point.

• 산업경영시스템학회지
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• 제41권4호
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• pp.220-227
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• 2018

The cooperative game theory consists of a set of players and utility function that has positive values for a subset of players, called coalition, in the game. The purpose of cost allocation method is to allocate the relevant cost among game players in a fair and rational way. Therefore, cost allocation method based on cooperative game theory has been applied in many areas for fair and reasonable cost allocation. On the other hand, the desirable characteristics of the cost allocation method are Pareto optimality, rationality, and marginality. Pareto optimality means that costs are entirely paid by participating players. Rationality means that by joining the grand coalition, players do not pay more than they would if they chose to be part of any smaller coalition of players. Marginality means that players are charged at least enough to cover their marginal costs. If these characteristics are all met, the solution of cost allocation method exists in the core. In this study, proportional method is applied to EOQ inventory game and EPQ inventory game with shortage. Proportional method is a method that allocates costs proportionally to a certain allocator. This method has been applied to a variety of problems because of its convenience and simple calculations. However, depending on what the allocator is used for, the proportional method has a weakness that its solution may not exist in the core. Three allocators such as demand, marginal cost, and cost are considered. We prove that the solution of the proportional method to demand and the proportional method to marginal cost for EOQ game and EPQ game with shortage is in the core. The counterexample also shows that the solution of the proportional method to cost does not exist in the core.

• 한국응용과학기술학회지
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• 제40권5호
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• pp.1001-1009
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• 2023

몰입은 내적동기와 관련성이 큰 개념으로 스포츠심리학에서 스포츠 수행에 있어 긍정적인 요소로 여겨진다. 몰입과 중독의 상관관계에 대한 연구들이 선행되었지만, Flow와 Commitment의 개념이 혼동돼 사용되었다. 또한 몰입이 장기적으로 미치는 영향에 대해서는 충분한 연구가 이루어지지 않았다. 따라서 본 연구는 선행연구들을 통해 몰입의 중독성을 확인하였으며, 기존의 연구들과 다르게 장기적으로 몰입이 내적동기를 저하시킬 수 있다는 새로운 가설을 제시하고자 한다. 적응수준 이론과 한계효용체감의 법칙의 관점에서는 몰입을 통해 얻는 만족감이 지속적으로 감소하게 된다. 어느 시점에서 이러한 개인의 발전은 한계를 느끼게 되며, 몰입을 경험하지 못하는 시점에 도달하게 된다. 하지만 개인은 몰입을 다시 경험하고자 하는 욕구가 존재하므로 지속적으로 노력할 것이다. 그러나 몰입 경험의 실패로 이어질 때 반복적인 실패는 슬픔으로 작용하여 내적동기를 약화시키게 된다. 따라서, 본 연구를 통해서 몰입의 부정적인 요소와 장기적인 관점에서 미치는 영향에 대한 연구들이 필요하다고 사료된다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권3호
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• pp.1204-1227
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• 2020

The tradeoff between energy conservation and traffic balancing is a dilemma problem in Wireless Sensor Networks (WSNs). By analyzing the intrinsic relationship between cluster properties and long distance transmission energy consumption, we characterize three node sets of the cluster as a theoretical foundation to enhance high performance of WSNs, and propose optimal solutions by introducing rendezvous and Mobile Elements (MEs) to optimize energy consumption for prolonging the lifetime of WSNs. First, we exploit an approximate method based on the transmission distance from the different node to an ME to select suboptimal Rendezvous Point (RP) on the trajectory for ME to collect data. Then, we define data transmission routing sequence and model rendezvous planning for the cluster. In order to achieve optimization of energy consumption, we specifically apply the economic theory called Diminishing Marginal Utility Rule (DMUR) and create the utility function with regard to energy to develop an adaptive energy consumption optimization framework to achieve energy efficiency for data collection. At last, Rendezvous Transmission Algorithm (RTA) is proposed to better tradeoff between energy conservation and traffic balancing. Furthermore, via collaborations among multiple MEs, we design Two-Orbit Back-Propagation Algorithm (TOBPA) which concurrently handles load imbalance phenomenon to improve the efficiency of data collection. The simulation results show that our solutions can improve energy efficiency of the whole network and reduce the energy consumption of sensor nodes, which in turn prolong the lifetime of WSNs.

• 대한교통학회지
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• 제27권2호
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• pp.157-168
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• 2009

개인여객이 운송수단을 선택하여 얻는 효용은 시간, 비용 등의 운송특성과 소득 등 개인특성의 함수이다. 기존 연구에서는 일반적으로 운송특성이 여객효용에 미치는 효과를 추정하기 위한 방법으로 운송특성변수에 대해 선형인 효용함수를 전제로 한 무작위 효용모형을 이용하여 왔다. 그러나 본 논문에서는 개인여객의 효용극대화를 분석하는 방법으로서 운송수단선택행위가 소비, 여가, 소득창출 등 보다 본원적인 활동으로부터 파생된다는 점에 주목하여, 다시 말해, 개인의 본원적 활동에 따른 효용극대화 관점에서 운송수단선택에 따른 효용이 진정으로 선형의 형태를 지니고 있는지를 살펴보았다. 이론적 결론은 첫째, 본원적 활동에 따른 효용이 소비와 여가만의 함수일 때 선형가정은 운송시간의 일부구간에서 진실이다. 둘째, 만일 효용이 노동활동이나 운송시간에 의해 직접 영향을 받을 경우 운송특성에 따른 효용의 선형성은 극단적인 상황이 아니면 성립하지 않는다. 따라서 운송특성에 따른 효용의 크기를 추정하기 위해선 선형이 아닌 보다 일반화된 함수에서의 근사가 요구된다.

• 무역상무연구
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• 제57권
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• pp.111-135
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• 2013

This study analyzes some important spin-off effects of the provision, UCP600 Article 14(6), through the methodology of the expected utility maximization theory based on the state-contingent commodities model. Some technical implications of this study are as follows. First, the risk-averse beneficiary will choose to present his documents more than 5 days before expiry date by paying a higher risk premium (so-called cure period) for full assurance to cure documentary discrepancies, if expressed economically, he pursues loss reducing activities to the point where the expected marginal product of his activities is less than its marginal cost. Secondly, where the effectiveness of securing cure period is uncertain, the risk-averse beneficiary will choose to present documents just on the expiry date without securing any cure period by paying no risk premium. This study finally suggests the safe harbor standard should be optimal solution only if it is supplemented by the hidden reasonableness standard for balancing the conflicts of interest between beneficiaries and banks.

• 경영과학
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• 제32권1호
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• pp.83-100
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• 2015

We analyze a duopoly competition when two firms face input cost increases. The objective of this study is to determine the firms' optimal strategy between a price increase and downsizing under conditions of a spatially differentiated market and consumers' diminishing utility on the product size. We develop a theoretical model of two competing firms offering homogenous products using the standard Hotelling model to determine how firms' optimal strategies change when facing input cost increases. In this paper, there are two types of duopoly competitions: symmetric and asymmetric. In the symmetric case, the two firms have the same marginal cost and are producing and selling identical products. In the asymmetric case, the two firms have different marginal costs. The results show that the optimal strategy decision depends on the size of the input cost increase and the cost differences between the two firms. We find that when two firms are asymmetric (i.e., they have different marginal costs), the two firms might choose asymmetric pairs of strategies in equilibrium under certain conditions. When the cost differences between the two firms are sufficiently large and the cost increase is sufficiently small, the cost leader chooses price increase, and the cost-disadvantaged firm chooses downsizing in equilibrium. This asymmetric strategy reduces price competition between two firms, and consumers are better off. When the cost differences between the two firms are sufficiently large, downsizing is the dominant strategy for the cost-disadvantaged firm. The cost-disadvantaged firm finds it more profitable to reduce the product size than to increase its price to reduce price competition, because consumers prefer downsizing to price increases. This paper might be a good starting point for further analytical research in this area.