• Korea journal of population studies
• /
• v.14 no.2
• /
• pp.78-87
• /
• 1991

본 연구는 대도시의 인구이동률의 장기적 추세를 분석하기 위하여 시도되었다. 본 연구에서는 멕시코의 중소도시인 오하카(Oaxaca)에서 구역별로 추출된 633가구를 대상으로, 그들의 거주지 이동상황 및 이에 영향을 미치는 인구.사회학적 요인에 관한 설문을 실시하였다. 연구결과, 가족의 거주지 이동률은 결혼후 5년 이내가 년간 23.23 퍼센트로서 가장 높았는데, 이것은 결혼초기에 출산과 관련한 주거공간 요구의 급격한 증가가 주된 원인인 것으로 해석되었다. 또한 연대별로는 1960년대에 특히 많은 주거지 이동이 있었는데, 이는 이 시기의 범 세계적인 아기풍년(Baby Boom)에 따른 급격한 자녀수의 증가와 관련된 거주공간의 수요확대로 인한 현상으로 해석되었다.

• The Science & Technology
• /
• v.32 no.3 s.358
• /
• pp.18-19
• /
• 1999

내일의 주거공간은 어떻게 달라질 것인가. 21세기는 해양을 끼고 새로운 생태도시가 건설되고 또 본격적인 해양개발시대를 맞아 5대양을 누비는 해상도시가 건설될 것이다. 인구 50만명이 상주하게 될 생태도시는 높이 5백m의 원형타워형 건물로 지상 1백25층, 지하 45층으로 지상은 식물생산공장, 지하는 50만명의 거주공간으로 모든 것을 자급하고 공해없는 미래형 도시를 이룰 것으로 본다. 또 세계 최초의 떠있는 해상도시는 상주인구 4만5천명 등 9만5천명을 수용하는 움직이는 인공섬으로 미국에서 10년 전부터 구상하고 있어 21세기에는 실현되어 5대양을 누비게 될 것이다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2004.04b
• /
• pp.493-495
• /
• 2004

본 논문은 도시계획과정에서 도시설계안을 행정가, 설계자, 지주, 인근거주자 등에게 제시하고 이들의 요구사항을 실시간으로 반영할 수 있는 도시설계를 위한 가상현실 협업시스템인 AR-Station을 소개한다. 본 시스템은 다양한 참여자들 간의 원활한 의사소통과 협업을 위하여 가상 도시 모델을 시각화하기 위한 Hybrid Scene Graph와 직관적인 인터랙션을 제공하기 위한 탠저블 인터페이스를 사용한다. 참여자들의 작업공간은 시스템과 참여자들 사에의 상호작용이 효율적으로 이루어지도록 반영공간과 인터랙션공간으로 구분하여 설계하고 구현하였다.

• Proceedings of the Korea Air Pollution Research Association Conference
• /
• 2005.11a
• /
• pp.545-547
• /
• 2005

• The Science & Technology
• /
• v.29 no.8 s.327
• /
• pp.47-73
• /
• 1996

바다는 미래 인류의 식량과 광물 에너지 자원의 보고이자 거주와 레저 공간으로 성큼 다가오고 있다. 우리나라 해양부 발족을 계기로 바다의 모든 것을 알아본다.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.41 no.5
• /
• pp.9-18
• /
• 2013

Urban parks are public spaces that provide various services for any urban resident to use and enjoy. Parks should be fairly distributed so that the urban parks can be equally used amongst different regions, generations and classes. Researches on spatial distribution of urban parks have been continuously conducted from the past based on the principles of fairness with variety, and it was evident that their techniques have become more elaborate and sophisticated. Yet, there have been limitations in the analysis of residents who are the main users of the urban parks. The research done so far was unable to apply the real number of the residents and it was carried out by only classifying and analyzing the population by the same scale(grid in the same sizes), postal(zip) code and administrative district. The actual population that resides within the usable range of urban parks was not used. This study analyzes and evaluates the spatial distribution that the residents can use on foot, by utilizing the service areas and the residents' registration data by addresses. In this study, to analyze the square measure of the service areas of neighborhood parks in Daegu Metropolitan City and the number of residents within and outside of the service area, network analysis techniques were employed and the residents' registration data were utilized. Major findings were that the Square measure of service areas of neighborhood parks turned out to be 31.23% of the square measure of the residential areas and also, that only 43.03% of the population of the Daegu Metropolitan area lives within the service areas of the neighborhood parks.

• Journal of Korean Society of Transportation
• /
• v.27 no.6
• /
• pp.97-106
• /
• 2009

The purpose of this study is to analyze factors for resolving problems of Jejusi Residential Parking Permit Program and to draw up a plan by examining Jejusi case. This program was started by way of showing an example in October, 2005, and then has been put in practice in the heart of Jejusi since October, 2007. Jejusi government introduced this system to prevent all kinds of accidents by the indiscreet parking near the residental street and to guarantee the rights to live comfortably by encouraging a pleasant parking environment. As the result of the survey which is about residents' participation from the process of decision-making, the answers such as "Should Participate" and "Surely should participate" are at the high rate of 87.5 percent. A matter of the utmost importance is that this system should be reformed to make the visitors pay parking if they want to park near there. Almost 36 percent of the respondents have a negative opinion, and this is because they consider their visitors. Especially the important factors from the Logistic Regression Analysis are that the government should exercise stricter control over illegal parking, that the system should be improved for the visitors to pay parking, and that the government should support the declining sales of the shops near shopping streets. The suggestions are as follows. First, the government should enforce on reducing the illegal parking. Second, they should secure the parking lots for visitors. Third, they should minimize the impact on the declining sales of the shops near shopping streets.

• Spatial Information Research
• /
• v.23 no.2
• /
• pp.69-81
• /
• 2015

If one can infer the residential area of SNS users by analyzing the SNS big data, it can be an alternative by replacing the spatial big data researches which result from the location sparsity and ecological error. In this study, we developed the way of utilizing the daily life activity pattern, which can be found from timeline data of tweet users, to infer the residential areas of tweet users. We recognized the daily life activity pattern of tweet users from user's movement pattern and the regional cognition words that users text in tweet. The models based on user's movement and text are named as the daily movement pattern model and the daily activity field model, respectively. And then we selected the variables which are going to be utilized in each model. We defined the dependent variables as 0, if the residential areas that users tweet mainly are their home location(HL) and as 1, vice versa. According to our results, performed by the discriminant analysis, the hit ratio of the two models was 67.5%, 57.5% respectively. We tested both models by using the timeline data of the stress-related tweets. As a result, we inferred the residential areas of 5,301 users out of 48,235 users and could obtain 9,606 stress-related tweets with residential area. The results shows about 44 times increase by comparing to the geo-tagged tweets counts. We think that the methodology we have used in this study can be used not only to secure more location data in the study of SNS big data, but also to link the SNS big data with regional statistics in order to analyze the regional phenomenon.

• Archives of design research
• /
• v.16 no.1
• /
• pp.229-240
• /
• 2003

This study, planed as an idea to promote the degree of the qualitative satisfaction on the residential space and to correspond effectively with the several and characteristic needs, is a try to overcome the limitation which is not to construct with the several plane-plans but the common designs on an apartment, unlike to an individual residence, should be designed for the unidentified persons. For this purpose, 1 set 360 mother group to investigate how to change their degree of the interior-image preference through their Personality Types by the apartment interior image pattern, verified by the pre-study on the real-resident's degree of preference corresponding with MBTI(Myers-Briggs Type Indicator), a Personality Types investigation. This result, leading us to be able to predict the resident's needs of the interior image aspects following the preference of the several products and to be able to supply the products, is being thought to contribute to promote the degree of satisfaction of the resident.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.39 no.6
• /
• pp.955-963
• /
• 2019

Currently, the establishment and management of civil defense shelters are under the initiative of the government and local governments to protect the lives of citizens. In the future, there is a need for efficient civil defense shelters operation through the expansion of general shelters, including designated dedicated shelters. Therefore, it is more efficient to consider the distribution of residents and the location of access to shelters, not the quantitative operation considering only the number of residents. This study uses genetic algorithms and Huff gravity model based on census output data, building data, and road network information to understand the distribution of inhabitants more precisely than existing administrative district data. In addition, the spatial- database was used for efficient data management and fast processing, and if this study is improved, it can be used as a basis for the selection and improvement of general shelters positioning for a wider area.