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차박캠핑 제약요인과 캠핑객 행동의도에 관한 연구 - 캠핑차량 소유여부의 조절효과 -
전정아 ( Jeon Jeong-ah ) 한국호텔리조트학회 2021 호텔리조트연구 Vol.20 No.4
Recently, there has been a growing interest in car camping and demand for practically experiencing car camping is also increasing. S0 this study aims to find out what constraints people have in their car camping activities affect campers' behavior. As a result of the study, it was found that the restriction factor of car camping significantly affects the purpose of recommending camping sites and the intention of re-visiting. And the relationship between car camping constraints and camping site behaviour varies depending on whether camping vehicles are owned or not. Users who own camping vehicles have been found to have an inherent constraint, such as their interest in camping, pleasure, and their thoughts on camping with their partners, affecting camping recommendations. However, it has been shown that the lack of camping vehicles affects camping recommendations or re-visits due to structural or interpersonal constraints such as lack of equipment, lack of information, facility inconvenience, ignorance of camping methods, lack of time and transportation. This study is meaningful in that it can contribute to the revitalization of the car camping culture by identifying constraints on car camping, which has recently emerged as a new travel trend. However, the limitation of this study is that it failed to materialize the restriction of car camping, unlike conventional camping, in the sense that it can be a camping site anywhere other than a camping site.
박현아,전종우,나성룡,Park, Hyeon-Ah,Jeon, Jong-Woo,Na, Seong-Ryong 한국통계학회 2011 Communications for statistical applications and me Vol.18 No.1
비대체와 회귀대체는 조사변수의 모형과 조사변수와 보조변수의 관계에 의존하며 모형이 성립되지 않는 경우 이들 대체법을 이용한 추정량의 불편성은 보장되지 않는다. 본 연구에서는 모형이 성립되지 않는 경우에도 추정량의 근사적 불편성이 성립되는 로버스트 대체법을 개발한다. 대체법 개발시 보조변수의 모수 정보를 이용하여 추정량의 효율 증대를 가져오게 한다. 모의실험을 실시하여 본 연구에 대한 이론적 결과의 타당성을 보인다. Ratio and regression imputations depend on the model of a survey variable and the relation between the survey variable and auxiliary variables. If the model is not true, the unbiasedness of the estimator using the ratio or regression imputation cannot be guaranteed. In this paper, we develop the doubly robust imputation, which satisfies the approximate unbiasedness of the estimator, whether the model assumption is valid or not. The proposed imputation increases the efficiency of estimation by using the population information of the auxiliary variables. The simulation study establishes the theoretical results of this paper.
계속조사 표본설계에서 추출틀 변경에 따른 층화변수 선정 국민여행실태조사 사례연구
박진우 ( Jin Woo Park ),박승환 ( Seung Hwan Park ),전종우 ( Jong Woo Jeon ),박현아 ( Hyeon Ah Park ) 한국조사연구학회 2010 조사연구 Vol.11 No.3
It is difficult to obtain the population information of target variables when a new sampling design for successive survey is executed. In a research of the Korea National Tourism Survey, we propose a method for selection of efficient stratification variables which are found in a combination of a existing sample data and a new frame list. At first, if there isn`t common identification number between the frame list and the sample data, we find a device to substitute for absence of identification number. At second, we suggest a method to search stratification variables correlated with target variables using statistical methods like regression analysis.
Spatial-Temporal Modelling of Road Traffic Data in Seoul City
이상열,안수한,박창이,전종우,Lee, Sang-Yeol,Ahn, Soo-Han,Park, Chang-Yi,Jeon, Jong-Woo The Korean Data and Information Science Society 2002 한국데이터정보과학회지 Vol.13 No.2
Recently, the demand of the Intelligent Transportation System(ITS) has been increased to a large extent, and a real-time traffic information service based on the internet system became very important. When ITS companies carry out real-time traffic services, they find some traffic data missing, and use the conventional method of reconstructing missing values by calculating average time trend. However, the method is found unsatisfactory, so that we develop a new method based the spatial and spatial-temporal models. A cross-validation technique shows that the spatial-temporal model outperforms the others.