| Title |
A Study on Public Building Location Evaluation Using GIS and Entropy-TOPSIS |
| Authors |
유진현(Yu, Jinhyeon) ; 김태훈(Kim, Taehoon) ; 홍순민(Hong, SoonMin) ; 추승연(Choo, Seungyeon) |
| DOI |
https://doi.org/10.5659/JAIK.2023.39.12.23 |
| Keywords |
Public Buildings; Location evaluation; Decision making support; GIS(Geographic Information System); MCDM(Multi-Criteria Decision Making); Entropy Weight Method; TOPSIS Method |
| Abstract |
As modern cities become larger and more overcrowded, the demand for service quality of public building increases, and the role of public
buildings has expanded from simple administration to cultural and welfare services. The Public buildings play an important role in the
development of cities and residents' convenience, making their location an important issue. The location of public buildings predominantly
hinges on subjective assessment, revealing a scarcity of clearly defined objective criteria for location. Recently, there has been a surge in
research concerning site selection through Geographic Information Systems (GIS) utilization and substantial datasets. However, when it comes
to public edifices, GIS application is constrained due to the intricate nature of quantifying site-specific factors. Therefore, this research aims
to facilitate the placement of public buildings by harnessing quantitative data and employing Multi-Criteria Decision Making (MCDM)
methods. We propose a site selection method using MCDM , entropy weighting Method, and Technique for Order Preference by Similarity to
Ideal Solution (TOPSIS). For this purpose, we first selected location factors through previous studies then quantified the data using GIS and
public data. We selected Bisan-dong in Seo-gu district of Daegu Metropolitan City as our study's target site with Administrative Welfare
Center as our target building for experiments and analyses. Location evaluation was made possible by considering each administrative
building's factor weight in Bisan-dong targeting our building. As per the weighting analysis results accessibility emerged as most important
category with site area being most important sub-factor. Comparative analysis was enabled by comparing evaluation values across each
location factor. This study presents a useful method for performing location evaluations using quantitative data which can serve as foundation
for future research that can be extended to various other types of public buildings. |