• The Korean Journal of Applied Statistics
• /
• v.25 no.5
• /
• pp.865-875
• /
• 2012

In this study, we identify the variables that affect the number of crime and spatial correlation in the Seoul metropolitan area, in addition, we measure the relative risk on the incidence of crime by a Poisson regression model. We suggest a statistical methodology to make a risk map for crime based on relative risk instead of the total event of crime by region using the Geographic Information System. To demonstrate the use and advantages of this methodology, this study presents an analyses of the total crime count in 25 wards in the Seoul metropolitan area.

• Land and Housing Review
• /
• v.2 no.3
• /
• pp.259-268
• /
• 2011

Space extension and the increase of the number of households are helpful to raise business value of the remodeling through the renovation of apartment houses that is required by residents of new cities and large-scaled apartment. However, in the case of accepting this demand, it could have a bad influence on the landscape of a complex in terms of the structure of apartment houses and the safety of construction and urban planning, and a problem occurs in the aspect of fairness for reconstruction. For the study, the current status related to the remodeling system through laws, related articles since 2000 and research data was analyzed. In addition, the individual quantitative analysis was conducted in the four aspects to judge whether households expansion for remodeling is plausible:1) Statistical data to comprehend the changes of population and social structure 2) Survey data of floor space index and the building-to-land ratio of new cities at the intial stage for the review of the effect of architectural planning and urban environment 3) Surveys of experts on structural safety in order to judge whether the demand of expansion is accepted or not. 4) Quantitative analysis of each item to compare fairness with reconstruction. Therefore, this study is intended to understand problems of the remodeling system that is currently operated. Moreover, it will be further reviewed that the expansion of households is feasible through the permission of expansion and it will be discussed that the revitalization of the apartment remodeling has a positive impact on the residential environment.

• Journal of Periodontal and Implant Science
• /
• v.46 no.3
• /
• pp.207-217
• /
• 2016

Purpose: The aim of this study is to analyze and visualize the distribution of patients visiting the periodontology department at a dental college hospital, using a geographic information system (GIS) to utilize these data in patient care and treatment planning, which may help to assess the risk and prevent periodontal diseases. Methods: Basic patient information data were obtained from Dankook University Dental Hospital, including the unit number, gender, date of birth, and address, down to the dong (neighborhood) administrative district unit, of 306,656 patients who visited the hospital between 2007 and 2014. The data of only 26,457 patients who visited the periodontology department were included in this analysis. The patient distribution was visualized using GIS. Statistical analyses including multiple regression, logistic regression, and geographically weighted regression were performed using SAS 9.3 and ArcGIS 10.1. Five factors, namely proximity, accessibility, age, gender, and socioeconomic status, were investigated as the explanatory variables of the patient distribution. Results: The visualized patient data showed a nationwide scale of the patient distribution. The mean distance from each patient's regional center to the hospital was $30.94{\pm}29.62km$ and was inversely proportional to the number of patients from the respective regions. The distance from a regional center to the adjacent toll gate had various effects depending on the local distance from the hospital. The average age of the patients was $52.41{\pm}12.97years$. Further, a majority of regions showed a male dominance. Personal income had inconsistent results between analyses. Conclusions: The distribution of patients is significantly affected by the proximity, accessibility, age, gender and socioeconomic status of patients, and the patients visiting the periodontology department travelled farther distances than those visiting the other departments. The underlying reason for this needs to be analyzed further.

• Journal of Korean Society of Rural Planning
• /
• v.9 no.1 s.18
• /
• pp.11-17
• /
• 2003

The purpose of this study is to examine farmers' intentions, attitudes, and the type of filming they are involved in, including to provide supporting data for planning the agricultural strategy and Green Belt policy in Seoul. All the collected data was analyzed using the contingency tables and the Chi-square test using the SAS computer statistical package. The leaseholders did not want to change the current Green Belt policy for the study area, while the landowning farmers hoped for either its revision or dissolution. Both groups pointed out that the Green Belt policy resulted in the delay of development and complained about the difficulty of changing the land use type. The older generation supported the dissolution of the Green Belt, policy, as compared with the younger generation who wanted to maintain or modify the policy. The leaseholders worried that the possible changes in the Green Belt policy might affect the current agricultural land contract system, whereas the landowning farmers were very interested in easing restrictions on changing land use. The compensation plan, which is indemnified land owners for their loss of restrictions on land use, might be useful to sustain urban farming in the Green Belt.

• Land and Housing Review
• /
• v.8 no.3
• /
• pp.103-111
• /
• 2017

This study is aimed to identify the LHI policies in the research process that reflect the diversity of job positions and workplace using a statistical method such as IPA. To collect the sample data questionnaire survey was carried out in 400 staffs in LH including researchers to investigate dissemination of research results and improve factor regard with research. The dissemination of research results is positioned as a important key factor for the determination of research institute policy. From this reason, satisfaction survey was performed for defining the procedure of research system and the dissemination of research findings. The answers give stimulate participation for investigational activity and share some perceptions with research vision a dominant position. Futhermore, select the research theme which is a important association with pending issues at the planning phase is to reinforce the availability of research findings. Lastly, promote research findings intensively is cause availability of research results to increase also.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.17 no.2
• /
• pp.87-97
• /
• 2018

Bus, a major transportation mode, doesn't have a systematical evaluation system for dangerous driving behavior yet. This paper analyzes the characteristics and pattern of bus driving behavior using Digital Tacho Graph(DTG) data on express bus. 8 types of dangerous driving behavior were considered according to timeslot, the day of week and weather condition. As results, rapid acceleration, rapid left right turn and rapid deceleratio accounted for more than 97% and relatively high percentages were shown in dawn, on Friday and on the clear day, respectively. From the statistical analysis, correlation between the dangerous driving types and difference according the timeslot were found, and 3 groups considering the level of the dangerous driving were suggested. This study contributes to setting an efficient and reliable eduction system for using driving simulators.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.3 no.2
• /
• pp.1-10
• /
• 2000

The purpose of this study is to develope a parcel-based automatic simulation system of land price through the integration of urban mathematical model and GIS. The appraisal process of public land price by the local government is simple but is a great time-consuming task. Moreover, it doesn't provide any statistical analysis and spatial presentation tools. So, it is difficult for planners or administrative officials to analyze the variation of land price with spatial idea. From these, a system is developed combining two sub-systems, they are ANN(Artificial Neural Network) for the calculation of land price and GIS for visual presentation. Using Matlab application, ANN model was designed having 3-layer structure and was trained with the sample data taken from Chinju city. With the trained network, the impact of 'road', 'parks', 'height control district' and 'beauty district' on land price in 9 regions(dong) are simulated. The results of the simulation were visualized with ArcView GIS. The automatic simulation system operated through the DDE(Dynamic Data Exchange) conversation between two applications. ArcView was set as client and Matlab as server. Scripting in ArcView and customizing a window of ArcView, this system can execute the whole process of simulation by just clicking a button with mouse. As a conclusion, this system was proved to be an effective and easily controllable planning support system for the land price simulation.

• Journal of Environmental Policy
• /
• v.12 no.1
• /
• pp.3-35
• /
• 2013

Through Influence between the qualitative Environment-friendly Planning Elements (Independent variable) of eighty Apartment House on the four boundary areas in Metropolitan 2th Newtown as representative case of domestic Composition case of Eco-City and the quantitative deal price of Apartment House (dependent variable), it was analyzed empirically with use of the statistical measuring technique. This study has been meaning that it was groped the scheme of quantitative measuring analysis on environmental economics through the developmental extention for he classification system of the qualitative Environment-friendly Planning Elements on urban & architecture. And, As the result of empirical analysis, it was confirmed empirically that the economical induction effect was much more weight and worthy of notice through Environment-friendly Planning Elements in Metropolitan 2th Newtown influenced to the deal price of Apartment House, particularly it was found noticeable meaning that Environment-friendly Planning Elements of applicabled the green new techniqe like New & Renewable Energy were used already and it was influenced much to the deal price of Apartment House.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.37 no.1
• /
• pp.78-86
• /
• 2009

Recently, there seems to besome problems in the urban visual landscape as a result of continuous economic growth and industrial development. At the same time, the public has begun to be aware of the importance of visual resources, and the necessity for visual landscape conservation and improvement. Therefore, the development of evaluative indicators for systematic visual landscape planning and design is urgent. The purpose ofthis study is to discover evaluative models and indicators for the diagnosis of urban visual landscapes. This study included the selection of 18 physical indicators(statistical data) by literature reviews, adoption of field and questionnaire surveys at 12 autonomous districts in Seoul and surrounding major mountain valleys and river streams(i.e. Mt. Nam and Han-River). The content of the questionnaire is scenic beauty. Moreover, the linear regression analysis between the scenic beauty mean scores and the physical indicator scores figure out the scenic beauty prediction model. As this study suggests, the most important indicators in urban visual landscapes are 'Greens', 'Park' and 'the number of apartment buildings(higher than 20 stories).' Based on the results, greens and parks should be priority elements to considerin urban landscape planning and design. Moreover, since the number of apartment buildings that are higher than 20 stories has a negative correlation with the scenic beauty score, it can be used as basic data for landscape planning. For the scenic beauty prediction models and evaluative indicators suggest a direction of urban management, each indicator becomes basic data for visual landscape planning and design. In following studies, if physical indicators and case studies are added, the scenic beauty prediction models and evaluative indicators could be more synthetic and systematic. Moreover, the development of physical indicators in three dimensions(3D)(i.e. results from visual district analysis, view surface analysis) could be expected to obtain more general and varied results.

• Journal of the Architectural Institute of Korea Planning & Design
• /
• v.35 no.1
• /
• pp.19-28
• /
• 2019

The purpose of this study is to evaluate the walking behavior analysis methodology used in the previous studies, paying attention to the demand for empirical data collecting for urban and neighborhood planning. The preceding researches are divided into (1)Recording, (2) Surveys, (3)Statistical data, (4)Global positioning system (GPS) devices, and (5)Mobile Big Data analysis. Next, we analyze the precedent research and identify the changes of the walkability research. (1)being required empirical data on the actual walking and moving patterns of people, (2)beginning to be measured micro-walking behaviors such as actual route, walking facilities, detour, walking area. In addition, according to the trend of research, it is analyzed that the use of GPS device and the mobile big data are newly emerged. Finally, we analyze pedestrian data based on mobile big data in terms of 'application' and distinguishing it from existing survey methodology. We present the possibility of mobile big data. (1)Improvement of human, temporal and spatial constraints of data collection, (2)Improvement of inaccuracy of collected data, (3)Improvement of subjective intervention in data collection and preprocessing, (4)Expandability of walking environment research.