• Journal of the Korean Data and Information Science Society
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• v.18 no.2
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• pp.471-479
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• 2007

This paper discusses about how to build up mixed-effects model for analysing ordinal response data by using cumulative logits. Random factors are assumed to be coming from the designed sampling scheme for choosing observational units. Since the observed responses of individuals are ordinal, a proportional odds model with two random effects is suggested. Estimation procedure for the unknown parameters in a suggested model is also discussed by an illustrated example.

• Journal of the Korean Data and Information Science Society
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• v.17 no.1
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• pp.187-193
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• 2006

This paper shows how to use continuation-ratio logits for the analysis of structured polytomous data. Here, response categories are considered to have a nested binary structure. Thus, conditionally nested binary random variables can be defined in each step. Two types of factors are considered as independent variables affecting response probabilities. For the purpose of analyzing categorical data with binary nested strutures a continuation-ratio mixed model is suggested. Estimation procedure for the unknown parameters in a suggested model is also discussed in detail by an example.

• Journal of Korea Planning Association
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• v.54 no.3
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• pp.49-62
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• 2019

In order to balance with supply policy, public housing management and operation policies have been implemented in terms of housing welfare, but citizens have not yet achieved the results that the citizens are experiencing. The purpose of this study is to analysis the residential satisfaction of the including the housing performance through the characteristics of the public housing residents in Seoul. The data used in this study is based on the survey data of public housing panel survey in Seoul (2016). The study method used ordered logistic regression analysis based on the fact that dependent variables appeared as ordered responses. Major research results are as follows. Firstly, housing performance and residential satisfaction may not match. Even though the satisfaction of housing area, type, and management fee is high, satisfaction with residential environment is low if commuting distance, the number of small libraries, and hospitals are small. Secondly, it showed different characteristics of residential environment factors among types of public housing. Rather than focusing on supply, customized supply is needed considering characteristics of public housing types. Thirdly, the policy for public housing needs to be realized by a fair policy on the residential environment. It is necessary to contribute to better housing stability as a customized policy considering the local residential environment.

• Korean Journal of Social Welfare
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• v.63 no.3
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• pp.29-53
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• 2011

This paper analyzed factors to affect needs for personal assistance service in the workplace for people with disabilities. The statistical analyses adapted in this study were the Frequency Analysis, Ordered Logit Analysis, Multiple Regression Analysis. The results of analysis are summarized as follows. First, through the Frequency Analysis many people with severe disabilities in the workplace found to have a high desire of the personal assistance service in the workplace, and factors like types of disability, the degree of disability, income basis found to include in the selection criteria of personal assistance service in the workplace. Second, through Ordered Logit Analysis and Multiple Regression Analysis factors to affect needs for personal assistance service in the workplace for people with disabilities found to include factors like residential district, age, level of education, assistance activities of family. By the results of analysis, it is suggested practical implications and policy implications.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.10
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• pp.4877-4883
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• 2012

As a basic research for revitalization of cycling that is emerging as a means of green transportation, this study aims to analyze the impact of neighbourhood environmental factor perceived by the local residents on cycling satisfaction as the concern for energy and environmental issues is increasing. For this, a survey was conducted through a questionnaire to the residents in Sangju-si and the impact of the perceived neighbourhood environmental factor to cycling satisfaction with ordered logit model was analyzed. The result showed that the factors such as quality of bicycle lane, quality of bicycle conveniences, accessibility of major conveniences, safety of cycling and amenity of street made a significant impact on cycling satisfaction. Based on such result, this study suggested the considerations to be made in designing a cycling environment.

• The Journal of the Korea Contents Association
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• v.20 no.11
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• pp.119-130
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• 2020

The proportion of non-farm income among farm household income is over 40%, with the main source coming from the sixth industry. While it is important to understand consumers' preferences to revitalize the sixth industry, the majority of research is focused on producers. Therefore, this study used an Ordered Logit Model to analyze consumer awareness and satisfaction with the 6th industry. As a result, first, the analysis showed that awareness of the sixth industry was generally low, and that the perceptions of gender and regions were different. Second, there were various ways to learn about the sixth industry through media reports, portal searches, and SNS. Third, factors affecting the recognition of the sixth industry were shown to have statistically significant effects on demographic and sociological variables such as age, marriage type, occupation, residential area, and income. This study is the first to analyze the awareness and satisfaction of the sixth industry from the consumer's point of view focusing on its revitalization.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.6
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• pp.841-851
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• 2019

This study presents risk ranking by accident types at intersections, crosswalk and tunnel sections. An ordered logit model was used to estimate the accident severity of traffic accidents based on 58,868 accident records that have occurred on the Seoul and Gyeonggi-do over the period 2014-2017. The factors affecting the injury severity were identified by the estimated model first, and risk ranking was proposed according to conditions of accident occurrence using relative ratio analysis later. The analysis results showed that the injury severity dramatically depends on the location and time of the accident. The analysis results showed that the injury severity dramatically depends on the location and time of the accident. Furthermore, there are severe injury cases in terms of the injury severity despite the small number of occurrence of traffic accident, or there are severe injury cases in terms of the injury severity despite the high frequency of occurrence of traffic accident.

• Journal of Distribution Research
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• v.16 no.3
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• pp.105-133
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• 2011

Short Abstract: This study investigates the effects of price and other variables on consumers' purchasing decision for eco-friendly foods. This study pays particular attention to the effect of price that may influences consumers' decision to buy eco-friendly foods. The empirical findings are summarized as follows. First, the descriptive results of the survey show that "detailed explanation for the products," "distribution channel," "reliability of the labeling for eco-friendly foods" are more important than price and other factors. Second, the ordered logit analysis vindicates that such situational factors as number of children and existence of patient in the family are the most important variables to explain the degree of satisfaction level when considering the price level of eco-friendly foods. Finally, the results of the conjoint analysis indicate that consumers regard distribution channel as the most important factor, and reliability of labeling system and level of price position second and third, respectively. The present study concludes with suggesting some policy implications and directing future studies.

• Journal of Korean Society of Transportation
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• v.26 no.5
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• pp.101-115
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• 2008

This study reports UTIS(Urban Traffic Information System), which has been generalized in developed countries through brisk research and development and is being promoted for introduction by National Police Agency and Road Traffic Authority to reduce the astronomical amount of social expenses including traffic congestion expenses. Also this study investigates the proper charges for using by the preestimate of demand and contentment according to methods of payment after the service is introduced. The results of this study are as follows. First, demand forecast model is constructed by Binary Logit Model. Second, forecast models of using aspects of UTIS service according to methods of payment are established by Ordered Probit Model. Third, the proper charges for using of UTIS service according to methods of payment are presented to the supplier in the aspects of users. For this, preferences by using aspects and methods of payment are captured. And unit elasticity of coefficient of utilization is understood through responsiveness analysis according to methods of payment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.10
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• pp.4328-4336
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• 2011

The aim of this study is to find changes of the attributes that influence the purchase of cut roses during recent five years(2007~2011) and suggest some implications on ways to promote cut roses marketing. For this purpose, a survey was conducted through the Internet among 1,100 randomly chosen people living in Seoul, Inchon and Gyeonggi Province in 2011. A total of 1,023 valid replies were received for the analysis of the survey which was carried out by the subsidiary consulting firm. The survey panels and estimation models to analyze changes of consumers' preference attributes during recent five years are same to them of Kim, et al.(2007). That is, empirical analysis tools such as ordered probit model, multinomial logit model, and conjoint analysis were used according to Kim, et al.(2007). This paper suggests several policy implications to set up the target market of cut roses and marketing mix strategy to specify the best 4P(product, price, place and promotion).