Application of the urban green assessment model for the Korean newtowns

Sangkeun Eom, Seungil Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


In this study the Korean newtowns were appraised in terms of green use by dwellers using the assessment model of urban greens developed on the basis of accessibility to green space. The model was assumed through a survey on the dwellers of the two developed newtowns, which represent basically different spatial structures: Pyeongchon with a latticed urban form and Sanbon with a clustered one. The assumed model was applied to a newtown developed in 90s (Sanbon) and a newtown in process (Dongtan) in order to verify an improvement between the two newtowns with respect to the use of greens. According to the model application the green rate weighted by potential users increased by 7.56% points for Dongtan and 4.11% points for Sanbon. However, the increasing ratio of Sanbon's one (25.90%) is greater than that of Dongtan's one (23.42%). This confirms that the use of greens could be determined more influentially by their spatial form and arrangement than by their area. For this analysis a Binary Logit Model, SPSS 12.0, ArcGIS were used.

Original languageEnglish
Title of host publicationComputational Science and Its Applications - ICCSA 2009 - International Conference, Proceedings
Number of pages15
EditionPART 1
StatePublished - 2009
EventInternational Conference on Computational Science and Its Applications, ICCSA 2009 - Seoul, Korea, Republic of
Duration: 29 Jun 20092 Jul 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume5592 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Conference on Computational Science and Its Applications, ICCSA 2009
Country/TerritoryKorea, Republic of


  • Accessibility
  • Assessment Model of Urban Greens
  • Binary Logit Model
  • Green Rate
  • Potential Green User Rate
  • Raster-GIS
  • Use of Greens


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