| Title |
Derivation of Smart Urban Regeneration Service Using Monte Carlo Simulation and Estimation of Importance |
| Authors |
강수연(Gang, Su-Yeon) ; 정연준(Jeong, Yeon-Jun) ; 이경환(Lee, Kyung-Hwan) ; 고은정(Ko, Eun-Jeong) |
| DOI |
https://doi.org/10.5659/JAIK.2022.38.6.27 |
| Keywords |
Smart Urban Regeneration; Smart Urban Regeneration Services; Monte Carlo Simulation |
| Abstract |
In the current 4th industrial revolution era, there is an increasing interest worldwide in smart cities with smart technology applied to
established cities. However, in the process of promoting these smart urban regeneration projects, specific and relevant services must first be
introduced; few studies have been conducted on the importance of each. Therefore, this study derives several smart urban regeneration
services that can be applied to smart urban regeneration projects while utilizing the Monte Carlo simulation (MCS) to supplement the sample
limitations and uncertainty risks of existing decision-making methodologies. Therefore, in this study, four types and thirteen detailed
serviceswere derived through existing research and related guidelines. Through an expert survey, the importance of each service was
calculated, and risks were considered by defining unavoidable, uncertainty factors in a probability distribution using MCS; the process was
repeated 100,000 times. The most important service scored 28.4% for Work·Employment, in the detailed service category 9.4% was for the
job information service, 9.3% for safe return home service and 9.2% for fire monitoring. These results suggest that smart urban regeneration
services should be applied differently according to the location of the target site and the size of the project. Additionally, when implementing
smart urban regeneration projects, it is necessary to actively introduce smart urban regeneration services that can help local residents solve
job issues, crime and disaster prevention concerns, and environmental problems. From a methodological point of view, this study is significant
in that it proposed and utilized MCS to supplement the risk of uncertainty in the existing expert survey. These results are expected to be
useful in the process of further promoting smart urban regeneration. |