• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.6D
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• pp.791-799
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• 2008

To build the system which has high utilization and usefulness for users, it is necessary to know the information type and use-demand that the use want. The purpose of this study is to forecast the preference and demand of utilization for bus information when bus information is offered through cellular phon. The accomplishments of this research are as follow : Firstly, importance on the level of individual factor and the value of change's figure can be evaluated, using preference analysis on bus information by conjoint analysis. Secondly, by establishing the use-demand model bus information using binary logit model, influence factor on whether or not the use of the user. Finally, ordered probit model was built by use behavior model in payment per call or per month of potential user of bus information. Through call times and sensitive analysis by payment methods, elasticity point, optimal payment fee, and use probability was analyzed. This study make application as basic to efficient bus information policy and to improve use rate of bus information in future because this study make it possible to get preference analysis, use-demand analysis and estimation of optimal payment fee which is reflecting various requirement in use of bus information user.

• Journal of Korean Society of Transportation
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• v.30 no.3
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• pp.107-118
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• 2012

The purpose of the study is to analyze the travel characteristics of freight trucks in metropolitan areas, focusing on activity generation, destination choice, and trip chaining behaviors. The results showed that the number of service companies at departure areas has a primary influence on the activity generation pattern and destination choice behavior of trucks in metropolitan areas. The number of trips within a trip chain is largest, in case where the prevailing industry in destination areas is wholesale or retail and the shipment item is food or beverage. These results imply that for the reasonable estimation of truck travel demand both the trip chaining behaviors and the industrial compositions in departure and destination areas should be separately considered for each type of commodity.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.2
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• pp.337-347
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• 2018

The government has been operating residential improvement projects through the "Act on the Maintenance and Improvement of Urban Areas and Dwelling Conditions for Residents" as a type of a remedial measure for deteriorated residential areas. However, in recent years, the residential improvement projects have experienced difficulties due to the effects of various factors including the slowdown in economic growth. After observing the depression in a number of projects, various studies have been carried out to investigate the causality and improve the promotion of the residential improvement projects. In the trend of research, this study aims to analyze the effects of land and building characteristics on the improvement projects of Busan Metropolitan City. The dependent variables of the study represent different phases of improvement project as specified in the "Act on the Maintenance and Improvement of Urban Areas and Dwelling Conditions for Residents". The independent variables represent land and building characteristics which refer to the criteria used in the designation process of maintenance area according to the act. The empirical analysis uses the ordered logit model. The results from the analysis suggest that geographical condition, factors related to the number of union members, factors related to the parcel price and condition of a location have impact on the promotion of the improvement project. The results of the analysis show that majority of the factors are related to the economic feasibility of the projects. Residential improvement project is a part of urban planning projects that rehabilitates deteriorated residential environment, and it is closely associated with the quality of life of public. Accordingly, we hope that such projects are reasonable and take effective approach to those with urgent needs rather than to focus on profitability. Also, potential administrative and economical loss should be avoided by taking necessary planning measures in advance.

• Journal of Environmental Science International
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• v.23 no.2
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• pp.171-180
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• 2014

This study provides the empirical results of the customers' necessity and intentions of purchasing weather index insurance using survey of asking the customers' recognition about weather insurance. In this article, we discovered that not only the customers' past experience of loss but also the extent of damage and the effects that change in weather would have on their firm are positively related to an intention to purchase weather index insurance. In addition, the level of premiums was significantly higher for the highly-intended group of willing to purchase weather index insurance than the comparison group.

• Journal of Internet Computing and Services
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• v.13 no.6
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• pp.33-40
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• 2012

The cloud service has become the significant factor to save the IT operation cost and to improve the productivities in companies. It was introduced to Korea for enterprise services of major companies in 2008. As the increase of recognition for its effect, more small businesses and public institutions plan to introduce the cloud computing services. The cloud computing researches have only focused on the security threats and response technologies to them. Therefore, this research analyzed the importances of responses to security threats in specific domains. The domains were divided into managerial, physical, and technical security. The specific factors in three domains were used for the analysis in this research as well. The ordered logit model was used for the analysis and the analysis results showed that physical security and managerial security are considered to be significantly important in the cloud computing security. The results also presented that the security policy, the control and surveillance to service infrastructure, and application security are highly important in the respect of specific factors. This research will contribute to enterprises or institutions in Korea, which want to introduce the cloud computing services, by aiding the establishment of effective security strategies.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.5
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• pp.891-903
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• 2017

In recent days, school violence has been rising as a significant social problem. The occurrence of school violence can be fueled by a wide range of social and environmental contexts, thus it is very difficult to come up with the ultimate solution. Community CPTED program is one of the more comprehensive set of efforts that has been developed to prevent crime in general, and the primary focus of the study is to investigate suitable components of CPTED to prevent school violence based on the physical conditions of communities as well as the perception of residents outside of school grounds, in the vicinity of schools. Three sets of analyses in series were employed in the research. First, Ward's minimum-variance cluster analysis was used to classify the places where school violence can occur outside of school grounds based on the physical conditions recognized by local residents. Next, Importance-Performance Analysis was performed to analyze the perception of local residents about the importance and the effectiveness of CPTED components in preventing school violence. Subsequently, Ordered Logit Model was used to analyze the local residents' awareness on safety regarding school violence in their community space. Combining the results of the analyses, the priority of the community CPTED applications to prevent school violence outside of school was derived. Reflecting the local residents' perception on safety of students in their community, the sense of security in communities against school violence can be reinforced by the communities' sensible efforts in creating safer environment for their students.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.11
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• pp.297-307
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• 2017

There are many underground spaces available in an urban environment and they represent an important factor for efficient land use. Especially, underground shopping centers perform both physical and commercial functions at the same time and are frequently used as a means of achieving the revitalization of the city center. However, the underground shopping centers that were developed in the past sometimes led to recession due to their deterioration. This study was carried out for the purpose of proposing alternative methods for the (revitalization) of underground shopping centers. A survey was conducted on seven underground shopping centers in the Busan metropolitan area to understand the factors that determine their user satisfaction and future improvement. The survey data was analyzed using an ordered logit model. As a result of the analysis, service satisfaction, underground environment satisfaction and public facility satisfaction were selected as significant variables. It was concluded that it is necessary to take these factors into consideration, appropriately, when developing a new or renewing an existing underground shopping mall.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.5
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• pp.771-782
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• 2018

The purpose of this study is to empirically analyze local retailers' recognition of commercial power altered by urban regeneration. For the purpose of this study, analysis is performed on pilot urban regeneration priority projects implemented in the city of Changwon. Although regeneration of commercial districts directly affect the local retailers therein, little research has been carried out to examine how they recognize such changes. This study, therefore, identifies those factors that have influence on the recognition of local retailers who would be aware of the alteration of their commercial power more immediately than others do. Using an ordered logit model, empirical analysis on two pilot projects for Odong-dong and Chang-dong indicates that retailers in Odong-dong are more likely to have a negative recognition toward the altered business areas. For the both districts, recognition of business area alterations is affected with statistical significance by how long they have run their shops, how many employees they hire, and whether they believe that the urban regeneration has resulted in gentrification. For each of the mentioned district, recognition in Odong-dong is significantly impacted by the number of employees and recognized rent changes, while in Chang-dong, the age of retailers and the perceived presence of gentrification have statistically significant influence. Issues found by this study need to be addressed prior to the upcoming 'Urban Regeneration New Deal Project', which then will bring satisfaction to each and every local residents including those retailers.

• Journal of the Korea Convergence Society
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• v.10 no.8
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• pp.255-264
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• 2019

This study focuses on the recent turnover of film crews in Korean film industry. Determinants that could have a significant impact on the turnover of film crews are identified through empirical research, in order to seek measures to prevent the loss of experienced film crews. In order for respondents to verify research questions regarding turnover of the film crews, ordered logistic and marginal effects analysis using SPSS and STATA are conducted with the data obtained by surveying 402 film crews in various areas. Data analysis revealed that the variables that have a significant effect on the turnover of film crews are artists' identity, job rank, career barrier and job satisfaction. The characteristics of risk groups with high turnover can be concluded that they are low in job rank and have many career problems, poor job satisfaction and strong identity as a labourer rather than artist's identity. Based on the main findings, practical implications are discussed.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.340-348
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• 2019

This study analyzes the factors that influence commercial gentrification in Seoul by using both logit model analysis and machine learning with data cumulated from 2015 to 2018 regarding 158 market areas. Logit analysis indicates that log(market area average monthly rent) and the ratio of the purchasing amount by customers aged 40 and younger to total sales in the restaurant and retail business category are statistically significant at 1%; the increase in sales per female customer aged between 30 and 39 in the restaurant and retail business category is statistically significant at 5%; and the increase in number of retailers with a business history of less than two years in the franchise business category is significant at 10%. Machine learning indicates that significant factors ordered by importance are the total retail area, the existence of an industrial complex within the market area, the existence of a traditional market within the market area, the location of subway stations within the market area, the increase of entertainment facilities such as movie theaters within the market area, average monthly rent, and the growth rate of average monthly rent. The contribution of this research is threefold. First, this study analyzes the entire commercial area of Seoul, Korea. Second, this study provides a foundation for future research on predictive indicators by empirically investigating the factors that influence commercial gentrification in Seoul. Lastly, this study introduces various methods of research by utilizing a machine learning approach.