• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.20 no.1
• /
• pp.22-39
• /
• 2021

This study estimated mode choice models for access travel and neighborhood travel from an SP survey in metropolitan areas where shared e-scooter services are offered. Model results show that travel time and travel cost have negative effects on mode utility. It is also revealed that people are more sensitive to travel time in access travel, whereas they are more influenced by travel cost in neighborhood travel. Looking at individual and household attributes, it has a positive effect when under 40 yerars of age, owning bikes, being a public transportation user, while it has been shown a negative effect in less than 3 million won in monthly household income and owning individual cars.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.12
• /
• pp.33-42
• /
• 2020

This study analyzed the bicycle traffic patterns and identified the influence factors for each traffic purpose using the household traffic conditions survey for Seoul. The results are summarized as follows. First, as a result of surveying the bicycle traffic ratios according to the administrative dongs, there was a difference of 14.2% by region. Second, various personal characteristic variables, such as age, gender, income, occupation, and housing type, affect the bicycle mode choice, and bicycle passage increases when using facilities in residential areas. Third, among the neighborhood environments, the bicycle traffic for commuting purposes appeared to increase more in the areas of higher land use mix and lower crime rates. In addition, the bicycle road density and the inclination of the area commonly affect bicycle travel for commuting, shopping, exercising, and leisure.

• The Journal of Information Systems
• /
• v.30 no.4
• /
• pp.21-42
• /
• 2021

Purpose In order for companies to continue to grow, they should properly manage human resources, which are the core of corporate competitiveness. Employee turnover means the loss of talent in the workforce. When an employee voluntarily leaves his or her company, it will lose hiring and training cost and lead to the withdrawal of key personnel and new costs to train a new employee. From an employee's viewpoint, moving to another company is also risky because it can be time consuming and costly. Therefore, in order to reduce the social and economic costs caused by employee turnover, it is necessary to accurately predict employee turnover intention, identify the factors affecting employee turnover, and manage them appropriately in the company. Design/methodology/approach Prior studies have mainly used logistic regression and decision trees, which have explanatory power but poor predictive accuracy. In order to develop a more accurate prediction model, XGBoost is proposed as the classification technique. Then, to compensate for the lack of explainability, SHAP, one of the XAI techniques, is applied. As a result, the prediction accuracy of the proposed model is improved compared to the conventional methods such as LOGIT and Decision Trees. By applying SHAP to the proposed model, the factors affecting the overall employee turnover intention as well as a specific sample's turnover intention are identified. Findings Experimental results show that the prediction accuracy of XGBoost is superior to that of logistic regression and decision trees. Using SHAP, we find that jobseeking, annuity, eng_test, comm_temp, seti_dev, seti_money, equl_ablt, and sati_safe significantly affect overall employee turnover intention. In addition, it is confirmed that the factors affecting an individual's turnover intention are more diverse. Our research findings imply that companies should adopt a personalized approach for each employee in order to effectively prevent his or her turnover.

• Knowledge Management Research
• /
• v.23 no.1
• /
• pp.187-201
• /
• 2022

Online reviews written by tourists provide important information for the management and operation of the tourism industry. The star rating of online reviews is a simple quantitative evaluation of a product or service, but it is difficult to reflect the sincere attitude of tourists. There is also an issue; the star rating and review content are not matched. In this study, a star rating prediction model based on online review content was proposed to solve the discrepancy problem. We compared the differences in star ratings and sentiment by continent through sentiment analysis on tourist attractions and hotels written by foreign tourists who visited Korea. Variables were selected through TF-IDF vectorization and sentiment analysis results. Logit, artificial neural network, and SVM(Support Vector Machine) were used for the classification model, and artificial neural network and SVR(Support Vector regression) were applied for the rating prediction model. The online review rating prediction model proposed in this study could solve inconsistency problems and also could be applied even if when there is no star rating.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.16 no.6
• /
• pp.1279-1286
• /
• 2021

This study suggests the user's needs for a smart parking service that enables parking lot search and advance reservation service, and is a study on the user's preference selection model related to fees (reservation fee, penalty fee), etc. Two types of user preference models in the form of logit models were constructed by composing a response questionnaire for smart parking service. The first is a model for selecting a smart parking lot, which suggests a situation in which the probability of selection is higher than that of a general parking lot in the relationship between usage fee and cost. The second is a parking ticket reservation discount selection model, and the smart parking service selection probability was analyzed through the relationship model between the reservation amount and the penalty. It can be used as a design requirement that enables sophisticated and various types of smart parking service considering users' preferences.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.42 no.4
• /
• pp.591-597
• /
• 2022

As social anxiety is increasing due to the spread of the COVID-19 epidemic, the responses at the level of local governments are also changing depending on the characteristics. We analyzed the factors influencing perceptions of social safety as they relate to the trustworthiness of local governments. Based on a 2020 social survey of 16 cities, counties, and districts in Busan Metropolitan City, the effects of householder characteristics, economic characteristics, local attachment characteristics, and social safety perception characteristics on the reliability of the local government were analyzed through an ordinal logistic regression analysis. It was found that the more vulnerable the class was and the safer the region was, the higher the trust was in the basic local government. In order to respond and preemptively recover damage in natural and social disaster situations, continuous efforts are needed to strengthen the capabilities of basic local governments.

• The Journal of the Korea Contents Association
• /
• v.21 no.7
• /
• pp.171-180
• /
• 2021

Places exposed to mass media induce behavior by forming curiosity and expectations for potential travelers. The places reported through mass media influence viewers. Among TV programs, the most influential genre is drama, and reality programs that provide immersion with different characteristics from dramas influence viewers' choice of destination. CVM is mainly used for estimating the value of objects that cannot be evaluated in the market, such as tourist destinations. This study conducted an economic valuation of filming locations for dramas and travel entertainment programs using CVM, and then compared and analyzed the research results of the two filming locations. Linear and log logit analysis were performed to measure the willingness to pay for the filming location of the drama/travel entertainment program, and the payment amount was derived. The conclusion of the study is that as the travel cost required to visit the filming location of the drama/travel entertainment program increased, the intention to visit decreased. The amount payable when visiting the filming location of the drama/travel entertainment program was higher than the average consumption amount for a day trip, and the amount payable for the drama was higher than that of visiting the filming location of the travel entertainment program.

• Land and Housing Review
• /
• v.14 no.1
• /
• pp.1-16
• /
• 2023

This study examines the housing-related characteristics of unmarried youth using occupational history data from the 10th-14th (2016-2020) youth panel (YP2007) of the Korea Employment Information Service, and the characteristics of housing and employment. Their effect on marriage intention was empirically analyzed. The results of the analysis show that highly educated people, high-wage workers, household heads or economically independent young people, and young people in good financial conditions have a high willingness to marry. Their economic conditions are very important factors. Among the young employed who have become economically independent from their parents, full-time permanent workers, workers at large corporations, and highly waged youth showed a strong desire to get married. On the contrary, young people who are insecure temporary/daily workers, workers at small firms, and low-wage workers show a low willingness to marry. In conclusion, the results imply that young people who are in a vulnerable state in the labor market are giving up or delaying their marriage. Therefore, it is necessary to enhance policies to provide better employment opportunities for youth and, simultaneously, revamp the policy measures to enhance housing conditions.

• Korean Journal of Organic Agriculture
• /
• v.30 no.2
• /
• pp.207-230
• /
• 2022

A survey on the understanding of environment-friendly certification system was conducted for certified operators. The survey included the necessity of certification system, difficulties in producing certified products, and general evaluation of the current certification system. Certified operators were generally satisfied with the certification system in terms of the certification standards, the public subsidy programs, and the farm management costs. Individuals with parallel production farms were relatively less satisfied than the group with full-time organic farmers. Analysis using the ranking probit model indicated that the longer the certification experience, the more highly aware the need for the certification system was. Our results indicated that policy strategies are needed to enlarge the marketability of environment-friendly agricultural products since economic factors of organic products were the most important factor for maintaining and expanding certification in overseas as well as in Korea. It seems to be necessary to implement economic triggers for certified operators to continue their certification programs by promoting the transition period certification for individual farms in parallel with conventional agriculture. Analysis of the variables correlated with the expansion of environment-friendly agriculture by the logit model implied that certified operators with the younger age and higher annual incomes were more likely to expand environment-friendly agriculture. Therefore, it might also be important to provide financial support and incentives for new entry farmers to participate in environment-friendly agriculture and establish a system to share the know-how of successful certified organic farmers.

• Korean Journal of Organic Agriculture
• /
• v.30 no.2
• /
• pp.241-253
• /
• 2022

The negative impact of climate change on the agricultural sector is rapidly increasing, and it is urgent to prepare policies at the government level to mitigate it. In the case of Rwanda's agricultural sector, which lacks the government's budget and farmers' capital, efficient and effective policy implementation is of paramount importance. To this end, rather than establishing related policies in the public sector from the top down, it is necessary to establish a bottom-up customized policy that is reflected in policy establishment by identifying the characteristics and behaviors of farmers who actually participate in adaptation activities. In this study, the effects of farmers' characteristics and farmers' perception status/adaptation status to climate change on the selection of adaptation methods for climate change were analyzed. 357 rice farmers randomly selected from Eastern Rwanda were surveyed to explore the information related to farmers' perception to climate change and adaptation methods as well as basic information of the farm. Research shows that the probability of selecting a variety of adaptation methods rather than not responding to climate change increases the younger the age, the higher the education level, and the easier access to climate information and credit. As a policy proposals, it is judged that public support such as strengthening agricultural technology support services, including more detailed guidance for elderly and low-educated farmers, and improving access to farm loan services by agricultural financial institutions is needed. In addition, it is necessary to adjust the planting time and cultivation method, provide timely information related to climate change, and provide crop variety improvement services to farmers.