FIGURE 1. Research Area
FIGURE 2. Research Flow Chart
FIGURE 3. Moran’s I Index of Small Business Distribution
FIGURE 4. Cluster Area of Small Business Distribution
FIGURE 5. Example of Distribution Change according to Flow Visualization Method
FIGURE 6. Local R2 of GWR Model and Regression Coefficient Distribution by Variables
TABLE 1. Building Data and Setting Variables
TABLE 2. By Age/Time zone Flow Population Detection Grid Count and Daily Average Flow Population
TABLE 3. Comparison of OLS and GWR Analysis Results
참고문헌
- Anselin, L. 1995. Local Indicators of Spatial Association-LISA. Geographical Analysis 27(2):93-115. https://doi.org/10.1111/j.1538-4632.1995.tb00338.x
- Anselin, L. 1996. The Moran scatterplot as an ESDA tool to assess local instability in spatial association. Spatial analytical perspectives on GIS 281-298.
- Baek, N.K. 2017. Analysis of Business Location and Commercial Supremacy for Successful Business Start-up. Baeksan Publishing Co., pp.1-485.
- Brunsdon, C., A.S. Fortheringham and M.E. Charlton. 1996. Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity. Geographical Analysis 28(4):281-298. https://doi.org/10.1111/j.1538-4632.1996.tb00936.x
- Byun, M.R. and U.S. Seo. 2011. How to Measure Daytime Population in Urban Streets?: Case of Seoul Pedestrian Flow Survey. Survey Research 12(2):27-50.
- Choi, D.J. and Y.C. Suh. 2012. Geographically Weighted Regression on the Environmental-Ecological Factors of Human Longevity. Journal of the Korean Society for Geospatial Information Science 20(3):57-63. https://doi.org/10.7319/kogsis.2012.20.3.057
- Choi, D.J. and Y.C. Suh. 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(MAUP). Journal of the Korean Association of Geographic Information Studies 16(3):40-53. https://doi.org/10.11108/kagis.2013.16.3.040
- Choi, D.J. and Y.C. Suh. 2014. A Spatial Statistical Approach on the Correlation between Walkability Index and Urban Spatial Characteristics - Case Study on Two Administrative Districts, Busan -. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography 32(4):343-351. https://doi.org/10.7848/ksgpc.2014.32.4-1.343
- Chung, K.S., S.W. Kim and Y.W. Lee. 2012. A Comparative Study on the Goodness of Fit in Spatial Econometric Models Using Housing Transaction Prices of Busas, Korea. Journal of the Korean Association of Geographic Information Studies 15(1):43-51. https://doi.org/10.11108/kagis.2012.15.1.043
- Cordy, C.B. and D.A. Griffith. 1993. Efficiency of least squares estimators in the presence of spatial autocorrelation. Communications in Statistics - Simulation and Computation 22(4):1161-1179. https://doi.org/10.1080/03610919308813147
- Dresner, H. 2018. Location Intelligence Market Study. Dresner Advisory Services, LCC. pp.1-96.
- Fitzke, J. and K. Greve. 2010. Frei oder umsonst?-Nutzergenerierte Geoinformation zwischen Freiheit und Kostenlosigkeit. in Angewandte Geoinformatik-22. AGIT-Symposium. 1. ed, Wichmann, Berlin, 732-741.
- Frank, L. D., J.F. Sallis, T.L. Conway, J.E.Chapman, B.E. Saelens and W. Bachman. 2006. Many Pathways from Land Use to Health: Associations between Neighborhood Walkability and Active Transportation, Body Mass Index, and Air Quality. Journal of the American Planning Association 72(1):75-87. https://doi.org/10.1080/01944360608976725
- Frank, L.D., T.L. Schmid, J.F. Sallis, J. Chapman and B.E. Saelens. 2005. Linking objectively measured physical activity with objectively measured urban form: findings from SMARTRAQ. American Journal of Preventive Medicine 28(2):117-125 https://doi.org/10.1016/j.amepre.2004.11.001
- Getis, A. and J.K. Ord. 1992. The Analysis of Spatial Association by Use of Distance Statistics. Geographical Analysis 24(3):189-206. https://doi.org/10.1111/j.1538-4632.1992.tb00261.x
- Griffith, D.A. 1987. Spatial Autocorrelation: A Primer. Geography, The Association of American Geographeres, Washington DC.
- Griffith, D.A. and L.J. Layne. 1999. A Casebook for Spatial Statistical Data Analysis: A Compilation of Different Thematic Data Sets. OXFORD University Press. 1-506pp.
- Hahmann, S. and D. Burghardt. 2013. How much information is geospatially referenced? Networks and cognition. International Journal of Geographical Information Science 27(6):1171-1189. https://doi.org/10.1080/13658816.2012.743664
- Huxhold, X.E. and A.G. Levinsohn. 1995. Managing Geographic Information System Projects. OXFORD University Press. 1-247pp.
- Kim, D.H., K.Y. Kang and S.Y. Sohn. 2016. Spatial Pattern Analysis of CO2 Emission in Seoul Metropolitan City Based on a Geographically Weighted Regression. Journal of the Korean Institute of Industrial Engineers 42(2):96-111. https://doi.org/10.7232/JKIIE.2016.42.2.096
- Kim, H.G., C.H. Kim and D.I. Lee. 2012. A Study on Policy Suggestions of Commercial District Revitalization through the Interaction between Local Commercial Districts and Customer Component : The way of Revitalizing Commercial Districts in Cheonan City. Journal of Franchise Management 3(1):73-91.
- Kim, H.J., J.W. Jung and K.H. Yeo. 2016. A Study on Optimal Location Choice of Neighborhood Parks within Walking Distance: Focusing on Seoul Metropolitan Area. Residential Environment Institute Of Korea 14(1):41-57. https://doi.org/10.22313/reik.2016.14.3.41
- Kim, K.G. 2003. Exloring Spatial Autoccorrelation and Using Spatial Regression. Proceedings of the Korean Association of Public Administration. pp.983-1001.
- Kim, K.T., I.M. Lee, H.C. Kwak and J.H. Min. 2015. Application Study of Telecommunication Record Data in Floating Population Estimation. Seoul Studies 16(3):177-187.
- Lee, J.W., H.Y. Kim and C.M. Jun. 2015. Analysis of Physical Environmental Factors that Affect Pedestrian Volumes by Street Type. Urban Design 16(2):123-140.
- Lee, Y.H., C.Y. Kwon and M.T. Lim. 2003. A Study on the Counter Pattern with Site of Department Stores. Journal of the Architectural Institute of Korea-Planning 23(2):235-238.
- Lim, E.S., H.S. Lee, Y.J. Lee and J.I. Cho. 2014. The Introduction of 'Spatial-Statistical Convergence Model' in Response to Changes in Demand for National Policy. Krihs Policy Brief 46.
- Son, Y,G., S.H. An and Y.C. Shin. 2007. A Study on the Trade Area Analysis Model base o on GIS-A Case of Huff probability model-. Journal of Korea Association Geographic Information Studies 10(2):164-171.
- Song, B.G. and K.Y. Park. 2017. Analyzing Characteristic of Business District in Urban Area Using GIS Methods-Focused on Large-Scale Store and Traditional Market-. Journal of Korea Association Geographic Information Studies 20(2): 89-101. https://doi.org/10.11108/kagis.2017.20.2.089
- Suh, Y.G. and K.D. Han. 2015. The impact of Large Discount Stores on the Retail Trading Area in Seoul Metropolitan Area : A Spatial-Econometric Analysis. Journal of Channel and Retailing 20(2):47-64.
- Tae, K.S. and B.J. Rhim. 2010. A Study for Lacating of a New Store Considering Competition for Trading Area: Focusing on the Case of Hypermarket in Seoul Metropolitan Area. Journal of the Korean Geographical Society 45(5):609-627.
- Tobler, W.R. 1970. A Computer Movie Simulating Urban Growth in the Detroit Region. Economic Geography 46:234-240. https://doi.org/10.2307/143141