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인천의 주요 도시 이미지로서 ‘서울의 위성도시’의 형성 및 변화 과정
안종욱 한국지리학회 2025 한국지리학회지 Vol.14 No.2
인천은 최근 경제자유구역의 개발 성과가 가시화되면서, 도시 이미지도 많이 달라지고 그 미래도 주목받고 있다. 그러나인천은 과거 ‘서울의 위성도시’로 인식되었으며, 규모나 발전상에 비해 이미지 면에서 저평가되는 측면도 존재한다. 본 연구에서는 일제 강점기 이래 인천의 도시 이미지가 형성되어 온 과정을 신문 보도 내용을 중심으로 확인하고자 하였다. 구체적으로는‘서울의 위성도시’가 과거 인천을 수식하는 이미지로 자리잡게 되었던 과정을 살피고자 하였으며, ‘위성도시’의 어감 변화도확인하였다. 신문 기사에서 인천이 ‘서울의 위성도시’로 처음 표현된 시기는 1930년대 중반이다. 본격적인 ‘서울의 위성도시’화는1960~70년대 산업화 시기라고 할 수 있는데, 이 시기 인천 관련 기사들에서는 공업화에 따른 환경오염, 서울 종속에 따른도시 문제와 기반 및 문화 시설의 부족 문제가 대두되었다. 인천에 대한 부정적인 이미지가 본격화된 것도 이 시기라고 할수 있는데, 이와 같은 이미지는 최근까지도 사건・사고 보도 시 인천이라는 지명이 강조되는 상황으로 나타나는 등 도시 이미지저평가의 근간에 일정 부분 남아있다. As Incheon’s recent development results in free economic zones have become visible, the image of the city has changed significantly and its future is also receiving attention. However, for a long time, Incheon has been recognized as a ‘satellite city of Seoul’, and there are aspects of its image that are undervalued compared to the city’s size and development. This study attempted to confirm the process by which the city image of Incheon had been formed since the Japanese colonial era, focusing on newspaper articles. The first time Incheon was referred to as a ‘satellite city of Seoul’ in the media was in the mid-1930s. Incheon’s full-fledged ‘satellization’ took place during the industrialization period of the 1960s and 1970s. At that time, articles related to Incheon raised issues such as environmental pollution due to industrialization, various urban problems caused by subordination to Seoul, and lack of infrastructure and cultural facilities. Such negative image remains to some extent the basis of the city’s undervalued image, as shown by the fact that the name ‘Incheon’ is emphasized in reports of accidents and incidents until recently.
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Markov Chain 모형을 이용한 수도권 인구분포예측에 관한 연구
안종욱 안양대학교 수도권발전연구소 2006 수도권연구 Vol.- No.3
The distribution of Population across territory plays a very important role as a leading indicator in various urban planning and its implementation. Inaccurate prediction of population distribution will bring about loss of the rationality that may rooted in a plan or an idea not only for the concerning cities but also for their adjacent metropolitan areas. On the basis of understanding the importance of the prediction, this paper reviews the characteristics of the population in Seoul Metropolitan area. The study is undertaken by analyzing migration data among Seoul Metropolitan Area"s administrative districts, which shows that the change of population movement is a primary factor dominating changes in population distribution. The analytical method employs Markov Chain Model, which is one of the popular methods for population analysis home and abroad. The period of the analysis in this study covers five years from 2001 to 2005. The target area is subdivided into Cities(shi), Counties(gun), and Wards(gu), and analyzed by its administrative subdivisions. In the analysis of this model the correlation coefficient of the predicted result is from 0.01 to 0.999, which means that this model has higher predictability.
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안종욱,이준섭,양연식,온기곤,김재덕 圓光大學校 醫科學硏究所 1993 圓光醫科學 Vol.9 No.1-2
Two hundreds and seventy-five hypertensive patients were studied to evaluate age-associated effects of hypertension and blood total cholesterol on hypertensive retinopathy. One hundred and sixty cases didn’t have retinopathy and 115 cases had retinopathy. Below the age of 50. blood total cholestrol in hypertensives with retinopathy(group 1) was significantly higher than that in hypertensives without retinopathy(group 2) (mean 236±31.9㎎/dl versus mean 211±38.9㎎/dl, p<0.01). Over the age of 50, blood total cholesterol was no significant difference between hypertensives with retinopathy (group 3) and hypertensives without retinopathy(group 4) (227.4± 45.4㎎/dl versus 227.5±40.7㎎/dl). Below the age of 50, the ratio of moderate and severe hypertensives to mild hypertensives was 3.43 in group 1, while 0.65 in group 2. Over the age of 50, the ratio of moderate and severe hypertensives to mild hypertensives was 2.11 in group 3. while 1.25 in group 4. Thus, below the age of 50, both hypercholesterolemia and hypertension may be important risk fators for retinopathy, and over the age of 50, hypertension may be more important than hypercholesterolemia.
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