Analyzing the Factors that Affect and Predict Employment Density Using Spatial Machine Learning: The Case Study of Seoul, South Korea

Geographical Analysis · 2023 · 3 citations

• Computer Science
• Artificial Intelligence
• Geography

There is a regional disparity in the employment density of Seoul. Considering problems such as traffic congestion and jobs‐housing imbalance, it is important to understand the spatial pattern of employment density and identify key influencing factors to determine the changes in the future urban spatial structure. This study analyzed employment density in each region of Seoul to derive important predictors. We examined the spatial patterns of employment density and evaluated the effects of spatial and nonspatial factors based on the general model and the spatial heterogeneity model. To predict the distribution of employment density, we used two statistical models (i.e., ordinary least squares regression [OLS] and geographically weighted regression [GWR] models) and two machine learning models (i.e., the random forest [RF] and geographically weighted random forest [GWRF] models). The results showed that the key influencing factors were the number of corporate business companies, number of main and attraction facilities, accessibility to subway stations, areas of commercial and industrial districts, and distance to business districts.

Urban Design Suggestions for School Zones based on the Big Data Analysis for Artificial Intelligence Learning - Focusing on Elementary Schools in Asan, Chungnam

Journal of the Urban Design Institute of Korea Urban Design · 2022 · 1 citations

• Computer Science
• Artificial Intelligence
• Mathematics education

본 연구는 인공지능 학습용 데이터를 분석하여 어린이 보호구역의 보행환경을 개선하고 이를 디지털 트윈 기술에 적용하는 것이다. 관련 이론 고찰 및 대상지를 분석하여 안전성과 쾌적성이 확보된 보행환경을 개선하였고, 이를 3D 가상공간으로 구축하여 개선안을 시뮬레이션 하였다. 보행환경 개선의 결과로 첫째, 인공지능 학습용 데이터가 안전한 보행환경 조성을 위한 설계 요소가 될 수 있음을 확인하였고, 둘째, 안전한 어린이 보호구역을 위하여 가로 디자인에 대한 통합 기준의 필요성을 인식하였다. 셋째, 스마트 기술이 적용된 안전한 보행환경을 조성하기 위해 3D 가상공간에서의 시뮬레이션 필요성을 확인하였다. 보행환경 개선에 대한 디지털 트윈 기술의 적용은 기존의 도시설계에서 시도하지 못했던 분야이다. 현실 기반의 공간에 스마트 기술을 도입함으로써 가상공간에서 다양한 환경을 분석하고 시뮬레이션을 수행한 점은 본 연구의 차별성이라 할 수 있다.

Data Markets with Competing Data Intermediaries

2021-04-08

Impact of Innovation City Projects on National Balanced Development in South Korea: Identifying Regional Network and Centrality

ISPRS International Journal of Geo-Information · 2021 · 16 citations

• Sociology
• Economic geography
• Regional science

Innovation City projects, aimed at balanced national development in South Korea, have relocated public institutions from the Seoul metropolitan area to provinces, decentralizing population and economic functions, over the past decade. This study measured changes in regional centrality (the central and local location or hierarchy of objects in a network) at the 14 cities where Innovation City projects were constructed. Commuter Origin-Destination data were analyzed using Rstudio. In the case of connectivity centrality, 13 out of 14 regions saw a rise in centrality values; among them, Busan, Daegu, and Ulsan belong to large cities. This suggests that the impact of Innovation City projects on established metropolitan areas may not be very significant. Five of the 14 projects increased the value of eigenvector centrality, while 10 increased the centrality ranking. This means that the absolute traffic volume of Innovation Cities across the country had increased, while the centrality of areas around these cities declined, suggesting that Innovation Cities should pursue co-prosperity with surrounding areas. In this way, Innovation Cities can have a positive impact on surrounding areas, and positive externalities of relocation projects are maximized. However, such development effects are confined to Innovation City areas, negatively influencing balanced regional development.

Perioperative Management of the Surgical Patient on Suboxone (Buprenorphine and Naloxone)

2017-01-13

Over the past two decades, the incidence of legal and illegal drug abuse and dependency has increased at alarming levels, resulting in a rise in the number of associated deaths. Multiple resources are available to manage addiction, including the use of buprenorphine with or without naloxone. Consequently, more and more patients are requiring this treatment and are presenting for elective and emergent surgery where treatment of acute postoperative pain in the setting of buprenorphine use becomes challenging due to its unique properties. Buprenorphine has unique properties in which it binds to the opioid (mu) receptor with a higher affinity than other opioids. Buprenorphine is bound for a long period of time (32 hours), but its opioid effects have a ceiling. Since the receptors are occupied, when illegal or prescribed opioids are abused, they cannot activate the occupied receptors, and, in parallel, the effects that lead to addiction, tolerance, and craving are limited. However, in the surgical setting, increased opioid use may be appropriately needed to manage pain, which is hindered and limited by buprenorphine. Using current studies and strategies, we propose an algorithm to effectively manage buprenorphine in the perioperative setting.

Perioperative Management of the Surgical Patient on Suboxone (Buprenorphine and Naloxone)

2016-10-06

Over the past two decades, the incidence of legal and illegal drug abuse and dependency has increased at alarming levels, resulting in a rise in the number of associated deaths. Multiple resources are available to manage addiction, including the use of buprenorphine with or without naloxone. Consequently, more and more patients are requiring this treatment and are presenting for elective and emergent surgery where treatment of acute postoperative pain in the setting of buprenorphine use becomes challenging due to its unique properties. Buprenorphine has unique properties in which it binds to the opioid (mu) receptor with a higher affinity than other opioids. Buprenorphine is bound for a long period of time (32 hours), but its opioid effects have a ceiling. Since the receptors are occupied, when illegal or prescribed opioids are abused, they cannot activate the occupied receptors, and, in parallel, the effects that lead to addiction, tolerance, and craving are limited. However, in the surgical setting, increased opioid use may be appropriately needed to manage pain, which is hindered and limited by buprenorphine. Using current studies and strategies, we propose an algorithm to effectively manage buprenorphine in the perioperative setting.

Acute to Chronic Postoperative Pain in Children: Does it Exist?

Pain Management · 2012-09-01 · 7 citations

Systemic Lupus Erythematosus

Elsevier eBooks · 2011-01-01 · 41 citations

Contributors

Elsevier eBooks · 2011-01-01

Schizophrenia

Elsevier eBooks · 2011-01-01