• 제목/요약/키워드: neighborhood variable

검색결과 61건 처리시간 0.029초

헤도닉 모델 추정시 GIS 공간분석기능에 의해 생성된 근린변수의 기여도에 대한 연구 - 토지이용도를 이용한 근린변수의 타당성을 중심으로 - (A Study on the Contribution of GIS-Created Neighborhood Quality Variables in Estimating Hedonic Price Models)

  • 손철
    • Spatial Information Research
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    • 제10권2호
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    • pp.215-232
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    • 2002
  • 본 연구는 근린유흥시설의 분포를 나타내는 헤도닉 모델의 근린변수가 지리정보시스템의 공간분석기능을 충분히 이용하여 측정되었을 경우, 그렇지 않을 경우에 비해 해당변수를 포함하는 헤도닉 모델의 통계적 질을 향상시킬 수 있는 가를 평가하고 있다. 평가결과는 해당변수가 지리정보시스템의 공간분석기능을 충분히 이용하여 측정되었을 경우가 헤도닉 모델의 설명력측면에서 우월함을 보이고 있다. 본 연구결과는 지리정보시스템이 단순한 직선거리를 추정하는 것 이상으로 헤도닉 모델의 질을 향상시킬 수 있는 잠재력을 가지고 있다는 것을 보이고 있으며 주택시장의 행태를 설명하는 이론적으로 타당한 근린변수의 측정을 위해 보다 적극적으로 이용되어야 함을 실증적으로 보이고 있다.

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도시근린공원의 적정조도모형 (Model on the Suitable Illuminance at Urban Neighborhood Park)

  • 최연철;김진선
    • 한국조경학회지
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    • 제29권3호
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    • pp.29-37
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    • 2001
  • The purpose of this study is to determine the suitable illuminance model of an urban neighborhood park. To this end, 1 dependent variable and 11 independent variables were set, and multiple regression analysis was applied to find correlation between variables and the model. The results of this study are as follows; 1) Among 11 independent variables abstracted to study suitable illuminance model of an urban neighborhood park, as a result of analysis on correlation between suitable illuminance of a dependent variable and activity space by using dummy variables, activity type and illuminance by spaces the suitable illuminance required for an urban neighborhood park was much influenced by activity type, and the fact that the activity was not limited to a specific space. 2) As a result of multiple regression analysis, independent variables influencing the suitable illuminance model of an urban neighborhood park were activity space, illuminance by spaces, seated activity, standing activity, and sporting activity. And, for relative contribution of independent variables to suitable illuminance, activity with sporting showed an importance 22 times higher than seated activity. When the central square(Sp_1) of activity spaces was set to reference category using dummy variables, it showed a contribution 52 times higher than sorting space(Sp_7) and the central square as the most important variable. 3) It was analyzed that suitable illuminance of an urban neighborhood part was most influenced by sporting activity but the relative contribution of a sporting space where activity with sporting occurs was least in view of the function of the space. Very high illuminance is required to accept high activity, and if illuminance at a certain space becomes too high, it may influence the illuminance of other spaces, and may consequently have a negative effect on the suitable illuminance of an urban neighborhood park. The results of this study were mainly for teenagers and young adults in their twenties, so further concrete studies which consider gender and a wider age range are needed in the future. Based on subsequent study, suitable illuminance by spaces shall be suggested.

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확률적 자원제약 스케줄링 문제 해결을 위한 가변 이웃탐색 기반 동적 의사결정 (Dynamic Decisions using Variable Neighborhood Search for Stochastic Resource-Constrained Project Scheduling Problem)

  • 임동순
    • 대한산업공학회지
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    • 제43권1호
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    • pp.1-11
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    • 2017
  • Stochastic resource-constrained project scheduling problem is an extension of resource-constrained project scheduling problem such that activity duration has stochastic nature. In real situation where activity duration is not known until the activity is finished, open-loop based static policies such as activity-based policy and priority-based policy will not well cope with duration variability. Then, a dynamic policy based on closed-loop decision making will be regarded as an alternative toward achievement of minimal makespan. In this study, a dynamic policy designed to select activities to start at each decision time point is illustrated. The performance of static and dynamic policies based on variable neighborhood search is evaluated under the discrete-event simulation environment. Experiments with J120 sets in PSPLIB and several probability distributions of activity duration show that the dynamic policy is superior to static policies. Even when the variability is high, the dynamic policy provides stable and good solutions.

The Impact of Neighborhood Settings on Peer Risks among Delinquent Adolescents

  • Lim, Ji-Young
    • International Journal of Human Ecology
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    • 제11권2호
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    • pp.1-14
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    • 2010
  • The main purpose of this study was to identify the impact of neighborhood settings on peer risks experienced by delinquent adolescents. A convenience sample of 1,086 youth who came to the attention of four county juvenile courts was used for the present study. The peer risk levels were measured through use of version 1.0 of the Global Risk Assessment Device (GRAD); in addition, neighborhood information obtained from the National Census was utilized. The results of the HLM demonstrated that there were significant between-neighborhood variations in peer risks and the neighborhood economic disadvantage variable was associated with peer risks after controlling for the variables of individual characteristics. The findings of this study add to the literature on juvenile delinquency by providing empirical support for the proposed model that illustrates the significant relationship between a neighborhood setting indicator and peer risks experienced by delinquent adolescents when practicing treatment or intervention programs with delinquent adolescents.

조명이 도시근린공원의 야간이용만족도에 미치는 영향 (Effects of Illumination on Satisfaction of Night Use at Urban Neighborhood Park)

  • 최연철;김진선
    • 한국조경학회지
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    • 제29권1호
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    • pp.92-99
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    • 2001
  • This study analyzed the effects of illumination on psychological accessibility from a view of satisfaction of night use at urban neighborhood park for actual night users. For this, we have classified the effects of illumination as five sampled independent variables from 12 effects of illumination, and tested the relationship with satisfaction of night use of a dependent variable by multiple regression analysis. The results of this study are as follows; 1) The effects of illumination for night use at urban neighborhood park were divided into five factors; (1) direct effect, (2) effect of promoting use, (3) effect of ensuring security, (4) effect of preparing landscape in the night time, and (5) psychological effect. Among independent variables indicating characteristics of effects of each illumination, uneasiness at night use was high. 2) In a multiple regression model, when other conditions were not changed, the value of security of night use (X\ulcorner) had maximumly an affect on the value of dependent. And, the value of danger to meet the depraved(X\ulcorner) had minimally an affect on the value of dependent variable. 3) For the contribution of security of nigh use(X\ulcorner) and brightness of present using space(X$_4$) to satisfaction of night use(Y) of dependent variable, they had a nearly equal effect on that, and showed about 2 times importance compared to familiarity with park(X\ulcorner) and the beauty of park(X\ulcorner). Also, they showed about 7 times contribution to satisfaction of night use compared to danger to meet the depraved(X\ulcorner), which had minimally an affect on the value of dependent variable, as the most important variables. 4) For the effects of illumination on satisfaction of night use, the effect of ensuring security - pursues security of park for the general rather than security for the specific class or subject - and direct effect to offer proper brightness in using space relatively affected on it much compared to psychological effect, effect of preparing landscape in night time, and effect of promoting use. A research on the psychological effects among the variables related to illumination as well as physical circumstances such as the height, location, direction of illumination should be studied.

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아동의 학교생활 적응에 영향을 미치는 생태학적 변인 (The Ecological Variables on Children's School Adjustment)

  • 이경님
    • 가정과삶의질연구
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    • 제26권5호
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    • pp.211-224
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    • 2008
  • The Ecological variables studied in relation to children's school adjustment were organisms(grade, sex, perceived competence, aggression and withdrawal), microsystems(parental support, marital conflict and supervision, peer victimization and perceived teacher attitude), mesosystems(family-peer relationships, family-school relationships) and the exosystem(neighborhood environment). The sample consisted of 565 fifth and sixth grade children. Instruments were the School Adjustment Scale and Index of organisms, microsystems, mesosystems, and exosystem variables. Statistics and methods used for the data analysis were Cronbach's alpha, frequency, percentage, Pearson's correlation and multiple regression. Several major results were found from the analysis. First, children's school adjustment showed positive correlations with perceived competence, parental support and supervision, perceived teacher attitude, family/peer and family/school relationships and neighborhood environment but showed negative correlations with grade, aggression, withdrawal and parental marital conflict and peer victimization. Second, the most important variable predicting child's relationship with teacher, his/her academic adjustment and satisfaction in schoolwas perceived teacher attitude. And the most important variable predicting children's peer relationships in school was perceived social competence.

공공 자전거 정적 재배치에의 VNS 알고리즘 적용 (Application of Variable Neighborhood Search Algorithms to a Static Repositioning Problem in Public Bike-Sharing Systems)

  • 임동순
    • 한국경영과학회지
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    • 제41권1호
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    • pp.41-53
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    • 2016
  • Static repositioning is a well-known and commonly used strategy to maximize customer satisfaction in public bike-sharing systems. Repositioning is performed by trucks at night when no customers are in the system. In models that represent the static repositioning problem, the decision variables are truck routes and the number of bikes to pick up and deliver at each rental station. To simplify the problem, the decision on the number of bikes to pick up and deliver is implicitly included in the truck routes. Two relocation-based local search algorithms (1-relocate and 2-relocate) with the best-accept strategy are incorporated into a variable neighborhood search (VNS) to obtain high-quality solutions for the problem. The performances of the VNS algorithm with the effect of local search algorithms and shaking strength are evaluated with data on Tashu public bike-sharing system operating in Daejeon, Korea. Experiments show that VNS based on the sequential execution of two local search algorithms generates good, reliable solutions.

서울시 자치구별 주택가격과 인프라 데이터를 통한 동네 특성 분석 (Analysis of Neighborhood Characteristics through Housing Prices and Infrastructure Data for Each Autonomous District in Seoul)

  • 김지훈;백재순;김성진
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2024년도 제69차 동계학술대회논문집 32권1호
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    • pp.149-152
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    • 2024
  • 본 논문에서는 자치구별 집 가격과 인프라 데이터를 통한 분석을 기반으로, 저렴한 주택 지역에 입주하는 사람들의 우려와 관련하여 좋은 동네와 안좋은 동네의 차이를 다각도로 조망하고자 한다. DataSet은 서울 열린 데이터 광장과 보건의료 빅데이터 개방 시스템에서 수집한 공공데이터를 활용한다. dependent variable로는 자치구별 인프라 데이터셋을 사용하였으며, independent variable는 자치구별 집 가격을 기반으로 데이터 분석을 수행한다. 본 논문에서는 다양한 분석 기법을 활용하여 모델의 정확도와 신뢰성을 향상시키고, 이를 토대로 동네의 특징과 주거 환경의 차이를 명확히 도출하여 결론을 이끌어내고자 한다.

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공학설계 최적화 문제 해결을 위한 GA-VNS-HC 접근법 (GA-VNS-HC Approach for Engineering Design Optimization Problems)

  • 윤영수
    • 한국산업정보학회논문지
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    • 제27권1호
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    • pp.37-48
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    • 2022
  • 본 연구에서는 공학설계 최적화 문제 해결을 위한 혼합 메타휴리스틱(Hybrid Meta-heuristic) 접근법을 제안된다. 공학 설계 최적화 문제는 다양한 형태의 변수를 가지며, 복잡한 제약조건들하에서 그 최적해를 구하는 문제로 이미 많은 기존 연구들을 통해 다양한 접근법들이 개발되어져 왔다. 하지만 그 효율성은 아직까지 크게 개선되지 못하고 있는 실정이다. 따라서 본 연구에서는 이러한 효율성을 개선하기 위한 새로운 접근법을 제안한다. 제안된 혼합 메타휴리스틱 접근법은 탐색 공간에 대한 전역적 탐색을 위해 유전알고리즘(Genetic Algorithm: GA) 접근법, 지역적 탐색을 위해 변동이웃탐색(Variable Neighborhood Search: VNS) 접근법과 언덕오르기(Hill Climbing: HC) 접근법을 혼합(GA-VNS-HC)하였다. 사례 연구에서는 다양한 형태의 공학설계 최적화 문제를 이용하여 본 연구에서 제안한 GA-VNS-HC 접근법의 우수성을 입증하였다.

Multi-Exchange Neighborhood Search Heuristics for the Multi-Source Capacitated Facility Location Problem

  • Chyu, Chiuh-Cheng;Chang, Wei-Shung
    • Industrial Engineering and Management Systems
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    • 제8권1호
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    • pp.29-36
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    • 2009
  • We present two local-search based metaheuristics for the multi-source capacitated facility location problem. In such a problem, each customer's demand can be supplied by one or more facilities. The problem is NP-hard and the number of locations in the optimal solution is unknown. To keep the search process effective, the proposed methods adopt the following features: (1) a multi-exchange neighborhood structure, (2) a tabu list that keeps track of recently visited solutions, and (3) a multi-start to enhance the diversified search paths. The transportation simplex method is applied in an efficient manner to obtain the optimal solutions to neighbors of the current solution under the algorithm framework. Two in-and-out selection rules are also proposed in the algorithms with the purpose of finding promising solutions in a short computational time. Our computational results for some of the benchmark instances, as well as some instances generated using a method in the literature, have demonstrated the effectiveness of this approach.