• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.5
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• pp.1969-1980
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• 2013

The Traffic congestion is caused by the increasing traffic demand. Thus, economic losses have been increasing every year. To solve these problems, car sharing and rental car systems that are equipped with IT technologies emerge. Car sharing has many advantages-the alleviation of the traffic congestion, the saving of maintenance cost for cars, the reduction of car possessiveness, the solution for the hassle of car ownership, for business and personal duty, and the improvement of connectivity between public transportations-. The goal of the car sharing is to achieve low-carbon and eco-friendly transportation. In this study, we review papers related to the car sharing system and the cost system of traffic systems. We estimate the optimal cost of the cloud traffic system that is one of the car sharing services. We suggest a methodology to estimate operational cost and use cost through the analysis of cost system between similar traffic means. The range of the maximum and minimum cost was determined through the comparison and analysis of similar traffic means. Expected demand and the cost that people are willing to pay were estimated through optimized value pricing. The minimum cost per hour that was compared to the cost of rental car was estimated at 5,333 won and the maximum cost per hour that was compared to taxi cost was estimated at 17,700 won. The cost for users was estimated at 6,930 won. The cost of 50% demands was estimated at 6,550won. Future studies should analyze service hours of users, weather, demand pattern and trend and consider them into the cost estimation.

• Journal of Digital Convergence
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• v.13 no.4
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• pp.51-59
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• 2015

In this study, we derived key factors required for the activation of the domestic e-book market and evaluated its importance. Specifically, we derived key evaluation items of C-P-N-D ecosystem perspective through literature review. In addition, we analyzed the implications by evaluating the importance depending on AHP after derived items were modified and classified together with the publisher working group. As the results of analysis, experts considered price(0.785), quality(0.149) and service(0.066) as the important items among three items derived as the primary upper class. A total of 23 factors were derived as the secondary lower class. The importance depending on C-P-N-D areas is as follows: contents(0.43), platform(0.35), device(0.11) and network(0.05). Among the entire sub-factors, three items such as 'distribution of profits with platform', 'profitability of product costs of contents' and 'appropriate rental price of contents and streaming service' showed significantly higher importance than that of other 20 items.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.5
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• pp.905-914
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• 2017

We examine 554 state basic districts and 1832 householders in Busan metropolitan city to see whether the physical and walkable characteristics of housing influence apartment housing prices. We use two-level models modeling for a more accurate analysis. Walkable characteristics in level 2 state basic districts potentially explain 77% of the variation in housing values, with the highest impact on crime safety characteristics. Overall, our spatial multi-level analysis based on new state basic districts in Korea explained price variation better than previous studies, which considered each householder. The results provide policy opportunities for planners and citizen groups to pursue strategies that encourage the development of walkable and sustainable neighborhoods.

• Asia Marketing Journal
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• v.14 no.3
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• pp.185-197
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• 2012

Caffe Bene, one of the most notable coffeehouse chain brands in Republic of Korea, gives us some thought-provoking issues in terms of sustainable success. Despite harsh competition among various coffeehouse brands, Caffe Bene has been accomplished astonishing outcomes in domestic market and now ranked 2^nd place in sales among the global coffeehouse franchise in 2010 and 2011. These achievements were possible mainly because Caffe Bene adopted distinctive shop design, maintained aggressive marketing strategy, developed new menu, and combined the unique Korean culture with ordinary concept of café to make its place attractive. However, since Korean coffeehouse market is getting saturated and consumers are becoming savvy about coffee, Caffe Bene needs to find a new solution to overcome growth stagnation. Besides, many experts pointed out that irrational increase in the number of stores might hurt its business in the aspect of managing distribution channel and providing consistent services. Also, customers of Caffe Bene have shown that it has to complement its critical weaknesses: inferior coffee taste and relatively high price for a cup of coffee. Especially, some people view that the company is shifting its high rental fee, interior cost and PPL marketing cost to consumers by charging high price for coffee. To get over the problems, Caffe Bene is currently using C/S Consumer Management System though experts are questioning about the efficacy because of the conflict between purpose of the system and the headquarters' plan. Present CEO Kim also announced that the company will complete its logistics system in the latter half of 2012 to provide stores with more high quality coffee beans to improve taste of coffee. Thus, in this case, we describe how Caffe Bene succeeded in Korean market and enumerate its key success factors. Also, we specify the long-term goals of Caffe Bene and introduce the current policies and strategies to show how the company is working on to achieve its ultimate goal. By reading and analyzing this business case, students could get useful insights regarding franchise management and think about issues on competing in a saturated market. Also, it would be worthwhile to generate creative solutions for the problems that Caffe Bene is now facing to broaden the practical perspective.

• Korea Real Estate Review
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• v.28 no.1
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• pp.79-90
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• 2018

The purpose of this study was to estimate the pricing factors of residential lands in new cities by estimating the pricing model of residential lands. For this purpose, hedonic equations for each quantile of the conditional distribution of land prices were estimated using quantile regression methods and the sale price date of Jangyu New Town in Gimhae. In this study, a quantile regression method that models the relation between a set of explanatory variables and each quantile of land price was adopted. As a result, the differences in the effects of the characteristics by price quantile were confirmed. The number of years that elapsed after the completion of land construction is the quadratic effect in the model because its impact may give rise to a non-linear price pattern. Age appears to decrease the price until certain years after the construction, and increases the price afterward. In the estimation of the quantile regression, land age appears to have a statistically significant impact on land price at the traditional level, and the turning point appears to be shorter for the low quantiles than for the higher quantiles. The positive effects of the use of land for commercial and residential purposes were found to be the biggest. Land demand is preferred if there are more than two roads on the ground. In this case, the amount of sunshine will improve. It appears that the shape of a square wave is preferred to a free-looking land. This is because the square land is favorable for development. The variables of the land used for commercial and residential purposes have a greater impact on low-priced residential lands. This is because such lands tend to be mostly used for rental housing and have different characteristics from residential houses. Residential land prices have different characteristics depending on the price level, and it is necessary to consider this in the evaluation of the collateral value and the drafting of real estate policy.

• The Journal of the Korea Contents Association
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• v.15 no.12
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• pp.483-492
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• 2015

This study involved elementary schoolchildren in Busan Metropolitan city and assumed the foundation of social cooperative associations that provide education services for meteorological fields, then we analyzed expected profits in a year for successful operation of first year. Twelve variables relating to profits and expenses were derived, and we used the decision tree for analyzing optimal expected profits. Profit-related variables were lecture's fee per hour and price of textbooks. Expense-related variables were production costs for the textbooks, annual salary for a teacher, education costs for a teacher, developing costs for the textbooks, traveling expenses, rental fees, and operating costs. Besides, by adding education demands, the number of grades, and the number of teachers, we analyzed changes in expected profits, considering variability of profits and expenses. As a result, despite of expected lower demands, to increase price of textbooks and education costs per hour was of advantage to enhance expected profits. The reason is that the more demand, the more increased production costs for textbooks, which is because not to make enough profits to offset the increased expenses due to lowered price of textbooks and education costs. Considering the value of public interest for social cooperative associations, price determination only concerning increase in demands will be avoided.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.33-40
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• 2020

The main aim of the study is to test a house pricing model by combining hedonic and asset-based pricing models. An understanding of the relationship between house pricing and its return (the rental income) helps to establish houses as a significant asset class. The model tested the relationship between house pricing (dependent variable) and the house attributes (independent variables) derived from Freeman's framework of housing attributes. This study uses a large data-set of 1,899 sample of new, high-end houses purchased between 2016 and 2019 collected from the national capital region of India (Delhi-NCR). The algorithm was built in R-Script, and stepwise multiple linear regression was used to analyze the model. The analysis of the model proves that the three significant variables, namely, carpet area, pay-off, and annual maintenance charges explain the price function. Further, the model is statistically fit. The major contribution of the study is to understand the key factors and their influence on the house pricing. The model will be helpful in risk assessment in the housing investment and enhance the chances of investment. Policy-makers can use information about the underlying valuation drivers of the house prices to stabilize the market and also in framing the tax policies.

• Journal of Distribution Science
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• v.21 no.2
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• pp.111-118
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• 2023

After the outbreak of the COVID-19 in the early 2020, Korea has attempted to reinforce the existing rent controls to help the low-income households. From July 2000, the tenants' right of lease renewal came into effect, as a policy tool to enforce the upper bound percentage of rent increases within Korea. Purpose: This study aims to examine the impact of rent control on the uncontrolled rents in Seoul Metropolitan Area (SMA). Research design, data and methodology: The study regresses the monthly panel data from 58 municipalities in SMA from January 2020 to March 2022, during the COVID-19 pandemic. Results: The data indicates that the policy had the effect of lowering rents for a period of two months, and subsequently monetary policy including quantitative easing and low interest rates, coupled with asset market bubbles lead to rent increases. During the sample data period, the quantity of money supply increased by 12.6% and CPI rose by 3.0%, these phenomena collectively increased the rents by up to 14.7%. Conclusions: The results of the present study support the findings of earlier studies in part: namely, that rent control without the government's steps to stabilize the property price may have an undesirable effect on rental tenants.

• Land and Housing Review
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• v.12 no.2
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• pp.33-45
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• 2021

Due to recent changes in government policy, officetels have received attention as alternative assets, along with the uplift of office and apartment prices in Seoul. However, the current officetel price indexes use small-size samples and, thus, there is a critique on their accuracy. They rely on valuation prices which lag the market trend and do not properly reflect the volatile nature of the property market, resulting in 'smoothing'. Therefore, the purpose of this paper is to create the officetel price index using transaction data. The data, provided by the Ministry of Land, Infrastructure and Transport from 2005 to 2020, includes sales prices and rental prices - Jeonsei and monthly rent (and their combinations). This study employed a repeat sales model for sales, jeonsei, and monthly rent indexes. It also contributes to improving conversion rates (between deposit and monthly rent) as a supplementary indicator. The main findings are as follows. First, the officetel price index and jeonsei index reached 132.5P and 163.9P, respectively, in Q4 2020 (1Q 2011=100.0P). However, the rent index was approximately below 100.0. Sales prices and jeonsei continued to rise due to high demand while monthly rent was largely unchanged due to vacancy risk. Second, the increase in the officetel sales price was lower than other housing types such as apartments and villas. Third, the employed approach has seen a potential to produce more reliable officetel price indexes reflecting high volatility compared to those indexes produced by other institutions, contributing to resolving 'smoothing'. As seen in the application in Seoul, this approach can enhance accuracy and, therefore, better assist market players to understand the market trend, which is much valuable under great uncertainties such as COVID-19 environments.

• Journal of Cadastre & Land InformatiX
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• v.45 no.1
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• pp.75-97
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• 2015

Recently public institutions' debt is growing therefore it became an important issue to the level that the government concerns about the possibility of financial burden to reduce the debt. Especially debt of public enterprises in metropolitan areas was in a serious state where debt in late 2013 was 43.2 trillion, which takes approx. 58.4% of 73.9 trillion of debt of all local public enterprises. Sound financial state of local public enterprises is important to public enterprises in metropolitan areas and it may affect seriously financial stability of local governments when public enterprises have financial problems. However, land supply business to form local industrial complexes or local demand for development of public rental housing business always exist; and vitalizing local economy and creating jobs through these businesses are very necessary to develop the areas. However, for local economic development, industirial land business and public rental housing business are needed. In this study, Gwangju Metropolitan City Corporation Ltd is used as a case study to evaluate the local public financial soundness via debt management assessment i.e.(using) the feasibility analysis in the urban development and housing development. As an improvement measure following the result of analysis, for the enhancement of financial soundness of urban innovation corporation, the government and local government shall evaluate and differentiate market demand, price competitiveness, and infrastructure of new town land development project to improve accuracy of project feasibility analysis. Another important insight is that there should be local government-centered management of liabilities of the local government and local public enterprises with the integrated liability management system to reduce the liability of the corporation and solve the issue of debts for local government. This study is significant in that it has analyzed cases from the theoretical aspect to secure financial soundness of national and local public enterprises.