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Factors Affecting the Spatial Clustering Pattern of Major Office Buildings in Seoul : Changing Impacts between 2003 and 2012
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 Title & Authors
Factors Affecting the Spatial Clustering Pattern of Major Office Buildings in Seoul : Changing Impacts between 2003 and 2012
Lee, Jae-Su; Jun, Jae-Bum;
 
 Abstract
The study intends to examine changing patterns of spatial clustering or hotspots of major office buildings developed between 2003 and 2012 in the Seoul. It also investigates the impacts of factors on the location of hot spots. To achieve them, a database of major office buildings is built up based on Geographic Information System. Major findings are as follows. First, total floor area has augmented by 4 percent per annum. Total floor area of prime office buildings are inclined to grow faster than that of others. Second, they tend to be located in three major urban centers. Hotspot analysis represents extensive hotspot areas around them in 2003. In 2012, hotspots in the urban centers are maintained or expanded; various metropolitan and region centers are spatially stretched out. Third, Logit model shows that employment density, employment density of FIRE sector, proportion of redevelopment zone, proportion of commercial zone, proportion of subway-oriented area have significantly positive impacts on the chance of hotspot area. It implies both physical infrastructure and public planning initiatives are important for promoting urban centers. It is needed to establish an official database of office buildings and monitor land use changes.
 Keywords
Office;Spatial Clustering Pattern;Getis-Ord ;Hotspot Analysis;Logit Model;
 Language
Korean
 Cited by
 References
1.
Agresti, A. (2002). Categorical Data Analysis, 2nd ed. Hoboken, New Jersey: John Wiley & Sons, Inc.

2.
Anselin, L. (1995). Local indicators of spatial association-LISA. Geographical analysis, 27(2), 93-115.

3.
Chae, J., Pak, S., & Byun, B. (2014). An Analysis of Spatial Concentrated Areas of Single Person Households and Concentrating Factors in Seoul, Seoul Studies, 15(2), 1-16.

4.
Choi, D., & Suh, Y. (2013). A Study on the Exploratory Spatial Data Analysis of the Distribution of Longevity Population and the Scale Effect of the Modifiable Areal Unit Problem, Journal of the Korean Association of Geographic Information Studies, 16(3), 40-53. crossref(new window)

5.
Choi, M. (1995). The Seoul Office Market: Characteristics, Trend, and Prospect, Journal of Korea Planning Association, 30(6), 143-159.

6.
Environmental Systems Research Institute(ESRI), ArcGIS Online Help, http://doc.arcgis.com/ko/arcgis-online/

7.
Getis, A., & Ord, J. K. (1992), The Analysis of Spatial Association by Use of Distance Statistics, Geographical Analysis, 24(3), 189-206.

8.
Greater London Authority(GLA)(2014), 2013 London Town Centre Health Check: Analysis Report.

9.
Jung, H., Kim, S., & Lee, J. (2012). Building the Futures of Seoul, Agenda and Policy Implications in the Context of Spatial Evolution. The Seoul Institute.

10.
Kim, J. (2014). A Study on the Long-run Equilibrium and Short-run Adjustment Process of Office Rental Market in Seoul, Journal of the Korean Urban Management Association, 27(2), 133-146.

11.
Kim, K. M., & Lee, C. S. (2014). Study on the Influence between the Office Lower Market - Focusing on Three Districts of Seoul Three District and Bun-dang Office Market, Gyeonggi Regions, Journal of Korea Real Estate Academy, 58, 154-168.

12.
Kim, S. (2005). A Forecasting of Office Demand and Supply in Seoul. Seoul Development Institute.

13.
Lee, K., Jung, C., Lee, G., & Yu, S. (2009). A Study on the Determinants of Office Supply in Seoul, Seoul Studies, 10(4), 209-227.

14.
Lee, J., & Sung, S. (2013). Development Characteristics and Supply Effect Evaluation of Urban-type Housing in Seoul, Journal of Korea Planning Association, 48(4), 305-317.

15.
Lee, J., & Yang, J. (2013). A Study of the Characteristics and Residential Patterns of Single-person Households and Their Policy Implications in Seoul, Journal of Korea Planning Association, 48(3), 181-193.

16.
Lee, H., & Noh, S. (2013). Advanced Statistical Methodology, Moon Woo Sa: Gyeonggi.

17.
Ord, J. K., & Getis, A. (1995), Local Spatial Autocorrelation Statistics: Distributional Issues and An Application, Geographical Analysis, 27(4), 286-306.

18.
Porter, M. E. (1998), Cluster and the New Economics of Competition, Harvard Business Review 76(6), 77-90.

19.
SMG(Seoul Metropolitan Government)(2009), A Report of Assessing Urban Planning Centers and Reestablishing Their Hierarchy in Seoul.

20.
SMG(Seoul Metropolitan Government)(2014). 2030 Seoul Plan.

21.
SMG(Seoul Metropolitan Government)(2014). A Report of Supply Pattern and Trend of Major Tourist Accommodations and Major Office Buildings in Seoul.

22.
Shin, W., & Shin, W. (2009). Spatial Patterns of Retail Stores in Seoul, Korea, Korea Real Estate Review, 19(2), 279-296.

23.
Song, M. (1997). The Spatial Structure of Seoul : Changes and Characteristics, 1980-1990, Journal of Korea Planning Association, 32(4), 209-228.

24.
Tobler, W. R. (1970). A Computer Movie Simulating Urban Growth in the Detroit Region. Economic Geography, 46, 234-240. crossref(new window)

25.
Yang, J. (2004). Analysis on the Spatial Change of Office Location in Seoul Metropolitan Area, Seoul Development Institute.