Journal of the Korean Association of Geographic Information Studies (한국지리정보학회지)

The Korean Association of Geographic Information Studies (한국지리정보학회)
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Identifying Urban Spatial Structure through GIS and Remote Sensing Data -The Case of Daegu Metropolitan Area-

지리정보시스템과 원격탐사자료를 이용한 도시공간구조의 파악 -대구광역권 사례연구-

  • Kim, Jae-Ik (Dept. of Urban Planning, Keimyung University) ;
  • Kwon, Jin-Hwi (Dept. of Urban Planning, Keimyung University)
  • 김재익 (계명대학교 도시공학과) ;
  • 권진휘 (계명대학교 도시공학과)
  • Received : 2009.04.09
  • Accepted : 2009.06.12
  • Published : 2009.06.30
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Abstract

The main purpose of this study is to identify urban spatial structure by applying geographic information system and remote sensing data. This study identifies the urban spatial structure of non-megalopolis by analyzing the spatial distribution of population and employment in the case of Daegu metropolitan area. For this purpose, multi-temporal satellite image data (Landsat TM; 1995, 2000 and 2005) were utilized through the geographic information system. The distance-decay estimations in terms of population and employment density show that Daegu region as a whole shows monocentric urban characteristics. However, some evidences of polycentricism such as low explanation power of monocentric urban model, rises in multiple employment centers, decentralization of employment are emerging.

본 연구는 지리정보시스템과 원격탐사자료를 이용하여 도시공간구조를 파악하는데 목적이 있다. 특히 본 연구는 거대도시와 중소도시의 중간규모인 대도시의 공간구조를 대구광역시와 그 주변지역을 단위로 하는 대구광역권을 사례지역으로 선정하였다. 도시구조는 인구 및 직업밀도를 기준으로 분석하였다. 이 분석을 위하여 1995, 2000, 2005년도의 Landsat TM 5 위성영상자료를 지리정보시스템과 연계하여 피복분석을 통하여 활용되었다. 공간구조는 인구밀도와 직업밀도의 거리조락함수를 추정함으로써 파악되었다. 분석결과 대구광역권의 차원에서는 단핵도시구조를 보이고 있다. 그러나 단핵도시모형의 설명력이 점차 감소하는 점, 부도심의 형성 및 성장 등의 추세를 감안하면 분석범위를 대구광역시에 한정할 경우 다핵심도시구조로 이행하고 있다.

Keywords

References

  1. Carlino, Gerald, and Satyajit Chatterjee. 2002. Employment deconcentration:a new perspective on America's postwar urban evolution. Journal of Regional Science 42 (3):455-475.
  2. Giuliano, G. and K. Small. 1991."Subcenters in the Los Angeles regions," Regional Science and Urban Economics 21: 163-182. https://doi.org/10.1016/0166-0462(91)90032-I
  3. Heikkila, E., P. Gordon, J I Kim, R. Peiser, H.W.Richardson, and D. Dale-Johnson, 1989, "What happened to the CBD-distance Gradient?: Land values in a policentric city," Environment and Planning A 21: 221-232. https://doi.org/10.1068/a210221
  4. Jun, Myung-jin and Seung-kyu Ha. 2002. "Evolution of employment centers in Seoul." RURDS 14(2): 117-132.
  5. Kim, Jae Ik, Chang-Hwan Yeo and Jin-Hwi Kwon. 2008. "The Urban Growth and Spatial Change of Employment Distribution: Clustering, Dispersion and Generalized Dispersion: The Case of Seoul Metropolitan Area, Korea, 2000to2005," A paper presented at forty-seventh annual meeting of Western Regional Science Association, February 17-20, 2008, at the Big Island of Hawaii, USA.
  6. Klaassen, L. H. and J. H. P. Paelinck. 1979. "The Future of large towns," Environment and Planning A 11: 1095-1104. https://doi.org/10.1068/a111095
  7. Lee, Bumsoo. 2007. 'Edge' or 'edgeless cities'?: Urban spatial structure in US metropolitan areas, 1980 to 2000. Journal of Regional Science 47(3): 479-515. https://doi.org/10.1111/j.1467-9787.2007.00517.x
  8. McMillen, D. P. 2001. Nonparametric employment subcenter identification. Journal of Urban Economics 50:448-473. https://doi.org/10.1006/juec.2001.2228
  9. McDonald, J, F. 1987. "The Identification of urban employment subcenters," Journal of Urban Economics .21: 242-258. https://doi.org/10.1016/0094-1190(87)90017-9
  10. McDonald, J. F. 1997. Fundamentals of urban economics, Prentice Hall, Upper Saddle River, NJ.
  11. Small, A. and S. Song. 1994. "Population and employment densities: Structure and change," Journal of Urban Economics 36: 292-313. https://doi.org/10.1006/juec.1994.1037
  12. Yun, Jeong-Mi and Jeong-Wo Park. 2008. Research about urban growth model's Automation, Journal of the Korean Association of Geographic Information System 11(1): 1-9.