• Spatial Information Research
• /
• v.10 no.2
• /
• pp.215-232
• /
• 2002

Variables representing neighborhood quality should be included in hedonic price models to control lfor the influences of negative or positive externalities from the quality of neighborhood on urban housing prices. This study proposes a GIS-based method to effectively measure the neighborhood quality variable when data on the neighborhood quality are aggregated by census sub area. This study also tests the superiority of the proposed neighborhood quality variable created by intensive use of GIS operations to a neighborhood variable not based on GIS operations in explaining the housing price variations by using Seoul＇s apartment sales data. The results from this study show that the neighborhood quality variable based on GIS-based operations shows better performance in explaining the urban housing price variations in Seoul＇s housing market. The implication from the results is that the potentials of GIS-based spatial operations in creating neighborhood quality variables should be well acknowledged by the researchers in the area of urban housing market study and GIS-based spatial operations should be more actively applied to generate better neighborhood quality variables for hedonic price models.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.29 no.3
• /
• pp.29-37
• /
• 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.

• Journal of Korean Institute of Industrial Engineers
• /
• v.43 no.1
• /
• pp.1-11
• /
• 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.

• International Journal of Human Ecology
• /
• v.11 no.2
• /
• pp.1-14
• /
• 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.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.29 no.1
• /
• pp.92-99
• /
• 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.

• Journal of Families and Better Life
• /
• v.26 no.5
• /
• pp.211-224
• /
• 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.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.41 no.1
• /
• pp.41-53
• /
• 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.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2024.01a
• /
• pp.149-152
• /
• 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.

• Journal of Korea Society of Industrial Information Systems
• /
• v.27 no.1
• /
• pp.37-48
• /
• 2022

In this study, a hybrid meta-heuristic approach is proposed for solving engineering design optimization problems. Various approaches in many literatures have been proposed to solve engineering optimization problems with various types of decision variables and complex constraints. Unfortunately, however, their efficiencies for locating optimal solution do not be highly improved. Therefore, we propose a hybrid meta-heuristic approach for improving their weaknesses. the proposed GA-VNS-HC approach is combining genetic algorithm (GA) for global search with variable neighborhood search (VNS) and hill climbing (HC) for local search. In case study, various types of engineering design optimization problems are used for proving the efficiency of the proposed GA-VNS-HC approach

• Industrial Engineering and Management Systems
• /
• v.8 no.1
• /
• pp.29-36
• /
• 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.