Cities In South Korea Research Articles

Simultaneous comparison of the chemical composition and attributable source of PM2.5 during 2014–2018 in major metropolitan cities in South Korea: impacts of policy interventions

Abstract Ambient fine particulate matter (PM2.5) is one of the most concerning pollutants, characterized by its diverse chemical composition. Although various studies have revealed PM2.5 chemical components, there is limited knowledge on how to reduce PM2.5 concentrations through administrative policies focusing on source management. We compared PM2.5 compositional characteristics and performed source apportionment using the positive matrix factorization in four metropolitan cities (Seoul, Daejeon, Gwangju, and Ulsan) in South Korea from 2014 to 2018. The annual average of PM2.5 concentrations exceeded the annual national ambient air quality standard of 15 μg m−3 in all areas while secondary inorganic aerosols constituted the largest fraction of PM2.5. This implies that secondary formation from gaseous precursors in the atmosphere was the main factor contributing to ambient PM2.5. However, the concentrations of PM2.5 constituents varied significantly across cities, suggesting that PM2.5 is a heterogeneous pollutant considerably influenced by region-specific conditions. In line with the chemical composition, secondary nitrate, secondary sulfate, and mobile-related sources were found to be significant contributors of PM2.5. Additionally, the extent of contribution from each source varied across the study regions. We also evaluated the impacts of policy interventions by comparing the PM2.5 composition and source apportionment before and after the policies for improving air quality. Intensive programs focused on the vehicle sector in Seoul led to a considerable decrease in the concentrations of carbonaceous compounds and mobile-related sources. In addition, strengthened regulations on coal-fired power plants (CFPPs) since 2016 have influenced the contributions of coal combustion sources in two cities adjacent to the west coastal area, where approximately half of the CFPPs of the country are densely distributed. Overall, the study’s findings indicate that region-specific PM2.5 chemical constituents and source contributions should be considered for establishing PM2.5-related policies, considering the high heterogeneity of PM2.5.

Applying Low-Impact Development Techniques for Improved Water Management in Urban Areas

Worldwide, the increase in impervious surfaces due to urbanization has led to significant water cycle issues such as groundwater depletion, urban heat islands, and flooding. To address these challenges, Low-Impact Development (LID) techniques are increasingly being applied in stormwater management. This study focuses on Ulsan, designated as a water cycle model city in South Korea, with a particular emphasis on the highly urbanized Okgyo drainage watershed. Using the Stormwater Management Model (SWMM) version 5.1, long-term runoff simulations were conducted to evaluate the effects of LID implementation on water cycle change rates and recovery rates. The model incorporates detailed hydrological and hydraulic parameters, including inflow, runoff, infiltration, and evapotranspiration for six subcatchments within the watershed. The SWMM was calibrated and validated using 30 years of historical rainfall data (1987–2016) from the Ulsan weather station. Calibration and validation processes used the NRCS-CN (Curve Number) method to ensure accuracy in simulating runoff patterns and water balance. The study specifically evaluated the effectiveness of two LID techniques: bioretention and permeable pavements. Three scenarios were modeled: bioretention applied to 5% of the area, permeable pavements applied to 5% of the area, and a combined application of both techniques. The results showed that the combined scenario provided the best outcome, with a 7.80% reduction in surface runoff and a 14.56% improvement in water cycle health. The LID application scenario confirmed the potential to achieve the water cycle management target of handling 25.5 mm of rainfall. These findings demonstrate that the introduction of LID techniques in public spaces can significantly enhance water management. This research provides insights into effective water cycle management methods tailored to specific urban land uses, laying a foundation for future urban planning and sustainable development.

Air Quality Improvement at Urban Bus Stops: Optimal Air Purification Placement Using CFD

Nitrogen dioxide (NO2) levels are often elevated near roadways due to vehicle emissions, while sulfur dioxide (SO2) is predominantly found near petrochemical complexes as a result of industrial activities such as oil refining and chemical manufacturing. Considering the detrimental effects of these emissions on the environment and human health, the optimal placement of air purification systems at two bus stops in Ulsan, a heavily industrialized city in South Korea, was investigated in this study to reduce NO2 and SO2 concentrations. Computational fluid dynamics (CFD) simulations were performed to identify strategic installation locations, resulting in a significant reduction in pollutant levels. The largest impact was noted for the Deokha Market bus stop, whereby the added health risk (AR) decreased by 1.93% and the exposure reduction effectiveness (ERE), a measure of air purification system efficiency, increased by 13.8%. Similarly, at the Hyomun Intersection bus stop, placing the system near the sidewalk led to a significant reduction in AR by 1.60% and an increase in ERE by 11.63%. Additionally, air purification systems at Ulsan bus stops are expected to reduce NO2 levels by 9.1 ppb, decreasing mortality risk by 1.44%, saving 7 lives annually, and yielding an economic benefit of 33.06 million USD.

The role of cultural amenities in cities for employment growth of industrial clusters: evidence from a panel VAR model

ABSTRACT Industrial clusters are critical economic drivers of city growth, and this study suggests strategies for increasing employment in clusters experiencing a lack of employees. Cities have an important role in industrial clusters because they serve employees’ needs that industrial districts cannot provide for, yet this relationship has not received sufficient attention. Therefore, this study investigates the interrelationships between clusters and their city settlement characteristics, and specifically how the latter characteristics influence one another to lead to cluster employment growth. This study expands on ideas about the role of cultural amenities for industrial clusters that lack sufficient accessibility. It uses panel vector autoregressive methodology to investigate 706 industrial clusters and their 160 cities in South Korea over 10 consecutive years. Cultural amenities can act as a starting point linked to cluster employment growth, prompting the building of other amenities. They also influence the influx of additional facilities to cities, with their overall quality upgraded, resulting in regions with rich amenities. Highlights The impact of amenities on employment in industrial clusters is examined A panel vector autoregressive model is employed for the analysis Cultural amenities in cities attract workers to industrial clusters Cultural amenities lead to an increase in education, commerce, and services amenities Cultural amenities in industrial development plans improve the economic and social benefits

Identifying pollinator‐friendly sites within urban green spaces for sustainable urban agriculture

AbstractIntroductionThe relentless urban expansion has led to the depletion of forests and agricultural lands. Yet, pinpointing viable zones for urban agriculture, particularly concerning pollinator presence, remains a formidable task for city planners.Materials and MethodsOur study introduces a novel methodology to identify optimal locations for cultivating pollinator‐dependent crops. Leveraging species distribution models (SDMs), we generated habitat suitability maps for 243 pollinating insects, including bees (41 species), butterflies (140 species), and hoverflies (62 species) across South Korea. Subsequently, employing Graphab 2.8 software, we categorised 10 major cities in South Korea based on the connectivity of green space patches. Clusters exhibiting greater green space coverage, size, and connectivity displayed higher modularity values. Utilising ArcGIS software's zonal function, we computed key statistical parameters—minimum, maximum, mean, and sum values—of the pollinator taxa maps within each cluster.ResultsOur analysis unveiled a robust positive correlation between cluster modularity and the cumulative distribution of pollinators. Regions with heightened modularity exhibited richer pollinator populations, suggesting their suitability for urban agriculture for pollinator‐dependent crops.ConclusionThis study proposes that employing graph theory‐based clustering of urban green spaces can effectively delineate areas conducive to urban agriculture. This strategic identification of green space clusters with optimal pollinator abundance holds promise for urban agricultural planning and sustainability initiatives.

Sociodigital Determinants of eHealth Literacy and Related Impact on Health Outcomes and eHealth Use in Korean Older Adults: Community-Based Cross-Sectional Survey.

eHealth literacy is an essential skill for pursuing electronic health information, particularly for older people whose health needs increase with age. South Korea is now at the intersection of a rapidly digitalizing society and an increasingly aged population. eHealth literacy enables older people to maximize the effective use of emerging digital technology for their health and quality of life. Understanding the eHealth literacy of Korean older adults is critical to eliminating the gray digital divide and inequity in health information access. This study aims to investigate factors influencing eHealth literacy in older Korean adults and its impact on health outcomes and eHealth use. This was a cross-sectional survey. Community-dwelling older adults 65 years and older in 2 urban cities in South Korea were included. eHealth literacy was measured by the eHealth Literacy Scale. Ordinal logistic regression was used to analyze factors associated with eHealth literacy and multivariate ANOVA for the impact of eHealth literacy on health outcomes and eHealth use. In total, 434 participants were analyzed. A total of 22.3% (97/434) of participants had high eHealth literacy skills. Increasing age, higher monthly income, and time spent on the internet were significantly associated with eHealth literacy (P<.001), and social media users were 3.97 times (adjusted odds ratio 3.97, 95% CI 1.02-15.43; P=.04) more likely to have higher skill. Higher eHealth literacy was associated with better self-perceived health and frequent use of digital technologies for accessing health and care services (P<.001). Disparity in socioeconomic status and engagement on the internet and social media can result in different levels of eHealth literacy skills, which can have consequential impacts on health outcomes and eHealth use. Tailored eHealth interventions, grounded on the social and digital determinants of eHealth literacy, could facilitate eHealth information access among older adults and foster a digitally inclusive healthy aging community.

Analyzing the Relationship between Green Infrastructure and Air Quality Issues—South Korean Cases

In recent years, with the sustained attention from academia and media to urban air quality and environmental issues, governments and scholars worldwide have been devoted to studying the relationship between air quality and green infrastructure (GI), seeking effective measures to address urban air pollution. This study aims to explore the impact of GI on urban air quality, focusing on analyzing data from Ulsan and Junpo cities in South Korea. Significant statistical significance has been found through correlation analysis between GI area and air pollutants such as nitrogen dioxide, carbon monoxide, particulate matter, and ozone. Specifically, when calculating GI using the Normalized Difference Vegetation Index (NDVI) data, for every 1% increase in GI area, nitrogen dioxide (NO2) decreases by approximately 0.000000001925 ppm. This finding offers important insights for future air quality research and provides empirical evidence for urban planning, emphasizing the significance of green space planning in improving air quality. Additionally, the study suggests that future research should be more diverse, incorporating data from more cities and conducting an in-depth analysis of GI distribution to understand its impact on air quality comprehensively.

Development and Psychometric Evaluation of the End-of-Life Nursing Competency Scale for Clinical Nurses.

This study aimed to develop and establish psychometric properties of the End-of-Life Nursing Competency Scale for Clinical Nurses. The initial items were derived from an in-depth literature review and field interviews. The content validation of these items was assessed over three rounds by experts in end-of-life nursing care. The study included 437 clinical nurses from four hospitals in S, E, and D cities in South Korea. The final exploratory factor analysis resulted in a scale consisting of 21 items with the following five factors that explained 68.44% of the total variance: Physical care-imminent end-of-life, legal and administrative processes, psychological care-patient and family, psychological care-nurses' self, and ethical nursing. The final model with these five subscales was validated through confirmatory factor analysis. Both item convergent-discriminant validity and known-group validity, which compared two groups based on clinical experience (p < 0.008) and working department (p < 0.008), were satisfactory. The internal consistency, as measured by Cronbach's α, ranged from 0.62 to 0.89 for the subscales and was 0.91 for the total scale. This scale has been validated as a reliable and effective instrument for clinical nurses to self-assess their end-of-life nursing competencies in a clinical setting.

Digital Inclusion among Community Older Adults in the Republic of Korea: Measuring Digital Skills and Health Consequences.

Many older adults are increasingly embracing digital technology in the Republic of Korea. This study investigated the relationship between the digital skills of Korean older adults and their perceived health status and digital technology application for health promotion. This mixed-method study comprised a community survey of 434 older adults aged ≥65 in two cities in South Korea, followed by focus group interviews. Five types of digital skills, 'operational internet skills', 'information navigation skills', 'social skills', 'creative skills', and 'mobile skills', were measured using the LSE digital skill measurement instrument. Multivariable analysis identified the influence of digital skills on health-related outcomes. Among them, 'social skills' associated positively with self-rated health (β 0.37, 95%CI 0.08, 0.65). 'Information navigation skills' contributed positively to the use of digital technology and the internet for a healthy lifestyle in terms of improving eating habits (β 0.43, 95%CI 0.09, 0.77), accessing healthcare (β 0.53, 95%CI 0.21, 0.85), and accessing long-term care services (β 0.45, 95%CI 0.11, 0.79). Thematic analysis revealed that the study participants use Korean language-based resources such as Naver and Kakao Talk for social connection to promote a healthy lifestyle. This study concludes that encouraging initial and sustained use of the internet and enhancing digital skills among Korean older adults can promote active and healthy aging.

Impact of the restraint decision tree for physical restraint use in South Korean neurointensive care units.

Nurses in neurointensive care units (NCUs) commonly use physical restraint (PR) to prevent adverse events like unplanned removal of devices (URDs) or falls. However, PR use should be based on evidenced decisions as it has drawbacks. Unfortunately, there is a lack of research-based PR protocol to support decision-making for nurses, especially for neurocritical patients. This study developed a restraint decision tree for neurocritical patients (RDT-N) to assist nurses in making PR decisions. We assessed its effectiveness in reducing PR use and adverse events. This study employed a baseline and post-intervention test design at a NCU with 19 beds and 45 nurses in a tertiary hospital in a metropolitan city in South Korea. Two-hundred and thirty-seven adult patients were admitted during the study period. During the intervention, nurses were trained on the RDT-N. PR use and adverse events between the baseline and post-intervention periods were compared. Post-intervention, total number of restrained patients decreased (20.7%-16.3%; χ2 = 7.68, p = .006), and the average number of PR applied per restrained patient decreased (2.42-1.71; t = 5.74, p < .001). The most frequently used PR type changed from extremity cuff to mitten (χ2 = 397.62, p < .001). No falls occurred during the study periods. On the other hand, URDs at baseline were 18.67 cases per 1000 patient days in the high-risk group and 5.78 cases per 1000 patient days in the moderate-risk group; however, no URD cases were reported post-intervention. The RDT-N effectively reduced PR use and adverse events. Its application can enhance patient-centred care based on individual condition and potential risks in NCUs. Nurses can use the RDT-N to assess the need for PR in caring for neurocritical patients, reducing PR use and adverse events.

Causative Activities and Prognostic Factors of Open-Globe Injury: A Registry-Based City-Wide Multicentre Study

ABSTRACT Purpose Traumatic globe injury is classified into closed-globe and open-globe injury (OGI); OGI leads to a worse prognosis. We aimed to identify causative activities and prognostic factors of OGI in a metropolitan city in South Korea. Methods This retrospective observational study used a prospective eye-injury registry conducted in Daegu, South Korea, between 1 August 2016 and 31 July 2021. We identified epidemiology and visual outcomes of OGI at four tertiary hospitals. Those with the best visual acuity lower than counting fingers at the 6-month follow-up were considered to have poor visual outcome. Results Of 9,208 patients with eye injuries, 282 had OGI. Most OGI patients were male (261, 92.6%), with the largest proportion in their 50s (76, 27.0%). The most frequent causative activity was mowing (59, 20.9%), and poor visual outcome was most seen in assault (7, 87.5%) and sports activity (9, 81.8%). Hammering, metal work, and sports activity were prevalent in those under 30, and mowing was most prevalent in those in their 50s (16, 21.1%) and 60s (29, 40.3%). In the multivariable logistic regression analysis, OGI related to traffic accident and sports activity were presented poor prognosis (adjusted odds ratio [aOR] 13.259, 95% confidence interval [CI] 1.202–146.205 for traffic accident; aOR 6.801, 95% CI 1.064–43.487 for sports activity). Conclusion We need to develop advanced vehicle safety equipment, implement public education promoting seat belt usage and hazards of OGI, establish eye protection standards for key causal activities, and provide eye protection equipment for sports activities and mowing.

Impacts of Ethical Dilemma, Job Stress, and Burnout on Turnover Intention of Long-term Care Hospital Nurses

Purpose: To identify factors affecting turnover intention of long-term care hospital nurses.Methods: After receiving permission from nursing managers at 10 nursing hospitals with 100 to 500 beds in three cities in South Korea, nurses who agreed to participate in this study were recruited and a survey was conducted. Final participants included 172 long-term care hospital nurses. Data collection was conducted from January 2, 2024 to April 30, 2024. Questionnaires included job stress, ethical dilemma, burnout, and turnover intention. Statistical analysis was performed using t-test, analysis of variance, Pearson’s correlation coefficient, and multiple regression analysis.Results: Ethical dilemma, job stress, burnout, and turnover intention of long-term care hospital nurses all had significant positive correlations. Age, position, job stress, and burnout were substantial in the turnover intention of long-term care hospital nurses.Conclusion: Findings of this study can be used as primary data for improving the quality of nursing in long-term care hospitals, promoting efficient human resource management, and establishing policies.

How does air pollution affect floating population in metropolitan city: embedding-based approach

AbstractRecently, the air pollution has been seriously regarded in the urban environment. Particularly, the substantial relationship between the air pollution and the daily movements of citizens has not been sufficiently investigated yet. This study attempts to empirically identify the patterns of air pollution using association rule mining from Seoul, the metropolitan city in South Korea. As a result, 214 patterns on air pollution are discovered, and those are embedded into vectors based on Doc2Vec technique. Then, this paper further examines how the movement of citizens reacts to the discovered patterns of air pollution by deploying the linear regression on the floating population with emphasis on the walk-traffic. Specifically, the walk-traffic is categorized into 14 categories by gender and age group, and the effects of air pollution patterns on each subgroup walk traffic were analyzed. Findings of this paper provide the empirical evidences on the estimated air pollution sensitivity by generation and gender to researchers and practitioners. This paper has the contribution on newly proposing the methodological framework for further managing the air pollution in the urban environment. Graphical abstract

Day–night variation, size distribution, source identification, and health risk of polycyclic aromatic hydrocarbons in particulate matter in Ulsan, South Korea

Particulate matter (PM) in 11 different sizes was collected at a semi-rural site in Ulsan, a multi-industrial city in South Korea, over one year from 2019 to 2020 to investigate the temporal patterns in size distribution and potential sources of polycyclic aromatic hydrocarbons (PAHs). The mean concentration of Σ21 PAHs was higher in winter (0.29 and 0.45 ng/m3 for coarse and fine PM, respectively) than in summer (0.06 and 0.07 ng/m3). Although there was no statistically significant difference between day and night for the concentration of individual PAHs in both coarse and fine PM, the concentrations were generally higher during the day than at night. During the day, Σ21 PAHs had two distinct peaks (0.056–0.10 μm and 3.20–5.60 μm) in winter, but they tended to partition to larger particles (1.00–1.80 μm and >18.0 μm) in summer. This result suggests that the volatilization of PAHs in smaller particles was enhanced by high-temperature conditions in summer, followed by their condensation onto larger particles. At night, Σ21 PAH peaks were mainly around the size of 0.7 μm (droplet mode), suggesting the importance of heterogeneous-aqueous reactions. The results of the conditional bivariate probability function and concentration-weighted trajectory indicate that the high concentrations of PAHs in summer and winter were more affected by local pollution and long-range atmospheric transport, respectively. The results of the health risk assessment demonstrate that PAHs in fine PM contributed significantly to cancer risk compared to those in coarse PM. In conclusion, investigating the size distribution of PAHs in particles is necessary to understand their environmental behaviors and evaluate potential health risks.

Residential mobility according to health status in South Korea's largest metropolitan city during the COVID-19 pandemic using generalized estimating equations for longitudinal data

This study examines whether residential mobility differed according to health status in Seoul, the largest metropolitan city in South Korea, during the COVID-19 pandemic. Before the COVID-19 pandemic, people who moved had better health status in the baseline year than those who did not. However, during the pandemic, the residential mobility of people with poor health status increased, particularly in 2019–2020. This pattern appeared to be driven by the 55–74 age group. The effect of health status on residential mobility was not attenuated, even after adjusting for covariates at multiple levels.

Geographic information system-based determination of priority monitoring areas for hazardous air pollutants in an industrial city.

Industrial cities are hotspots for many hazardous air pollutants (HAPs), which are detrimental to human health. We devised an identification method to determine priority HAP monitoring areas using a comprehensive approach involving monitoring, modeling, and demographics. The methodology to identify the priority HAP monitoring area consists of two parts: (1) mapping the spatial distribution of selected categories relevant to the target pollutant and (2) integrating the distribution maps of various categories and subsequent scoring. The identification method was applied in Ulsan, the largest industrial city in South Korea, to identify priority HAP monitoring areas. Four categories related to HAPs were used in the method: (1) concentrations of HAPs, (2) amount of HAP emissions, (3) the contribution of industrial activities, and (4) population density in the city. This method can be used to select priority HAP monitoring areas for intensive monitoring campaigns, cohort studies, and epidemiological studies.

Atmosphere particulate matter and respiratory diseases during COVID-19 in Korea

We aimed to examine the impact of COVID-19 non-pharmaceutical interventions (NPIs) on the relationship between air pollutants and hospital admissions for respiratory and non-respiratory diseases in six metropolitan cities in South Korea. This study compared the associations between particulate matter (PM10 and PM2.5) and hospital admission for respiratory and non-respiratory diseases before (2016–2019) and during (2020) the implementation of COVID-19 NPIs by using distributed lag non-linear models. In the Pre-COVID-19 period, the association between PM10 and admission risk for asthma and COPD showed an inverted U-shaped pattern. For PM2.5, S-shaped and inverted U-shaped changes were observed in asthma and COPD, respectively. Extremely high and low levels of PM10 and extremely low levels of PM2.5 significantly decreased the risk of admission for asthma and COPD. In the Post-COVID-19 outbreak period, the overall cumulative relationship between PM10 and PM2.5 and respiratory diseases and the effects of extreme levels of PM10 and PM2.5 on respiratory diseases were completely changed. For non-respiratory diseases, PM10 and PM2.5 were statistically insignificant for admission risk during both periods. Our study may provide evidence that implementing NPIs and reducing PM10 and PM2.5 exposure during the COVID-19 pandemic has contributed to reducing hospital admissions for environment-based respiratory diseases.

Deep learning models for air quality forecasting based on spatiotemporal characteristics of data

The distribution of air-borne pollutants is governed by complex fluid dynamics processes involving convection and diffusion. The process is further affected by the characteristics of emission sources, meteorological parameters, socioeconomic factors, and land use patterns. Compared to deterministic and probabilistic air quality forecasting methods, data driven modeling of air quality parameters can address the large degree of freedom in air quality influencing parameters as well as offer interpretability and understanding of air pollutants' distribution at an increased spatial and temporal resolutions. This study focuses on the citywide prediction of air quality index (AQI) based on observations of pollutant concentrations, meteorological parameters, and spatiotemporal data. The study area includes Ansan city in South Korea, which has been observed as a hotspot for high concentrations of particulate matter. The air quality and meteorological were collected from 16 monitoring stations located in Ansan city. A detailed spatiotemporal analysis was performed to investigate the correlation between AQI records at the air quality monitoring stations. Based on strong spatiotemporal correlations observed between stations, several deep learning (DL) models were proposed, and their performance was investigated for different scenarios. It was observed that the selection of appropriate DL models should be based on (1) understanding of the underlying fluid dynamics process that control pollutant distribution and (2) spatiotemporal characteristics of data. Additionally, the complexity of DL models does not always guarantee the accuracy of the forecasts, and simple models can give good performance if the predictors are selected carefully to reflect the underlying physical process.

Citizens’ Perceptions and Assessment of an Urban Mountainous Forest Restoration: Nature, History, and Changes

Background and objective: Most cities in South Korea have mountainous forests as hinterland green space in their centers, which are used as urban parks. This study was conducted to analyze citizens' perceptions of a mountainous forest restoration project being carried out in Jinju City.Methods: The research site is part of Bibongsan Mountain in Jinju City. Visitors' perceptions of the Bibongsan Restoration Project (BRP), carried out since 2015, were surveyed and analyzed regarding nature, history, and changes. The survey was conducted from August to October 2019, and the collected data were statistically analyzed.Results: The main socio-demographic changes were an increase in the proportion of men among visitors, aging, and an increase of unemployed people in the occupational distribution. The overall assessment of BRP implementation was positive. Visitor perceptions of the value, revival, and restoration of historical resources were more vital than in 2015 and had a strong positive correlation with each other. Visitors identified a high need for safety facilities for elderly visitors, improved wireless communication services, facilities for various recreational activities, outdoor learning facilities and programs for nature study, expanded parking lots, and improved transportation services.Conclusion: The urban mountainous forest restoration project is overall satisfactory and needs to be continued. The results showed that urban mountainous forests are not only recognized as spaces for walking and exercise for health but also recently as historical spaces expressing the unique or featured identity of the city, educational spaces for interest and understanding of nature, and recreational spaces that reflect local lifestyle changes. Thus, urban forests need to be restored in the context of local historical and cultural resources as well as natural resources. In addition, there is a need to be aware of various changes in the population, including aging and an increase in retirees.

CNN 기반 위성 이미지를 활용한 북한의 도시 인구추정

North Korea does not officially disclose population data through formal procedures. However, information related to North Korea's population can be verified through KOSTAT or internet searches. Nevertheless, these data are based on population surveys conducted with the support of the United Nations Population Fund (UNFPA) in 1993 and 2008, and are known to be of questionable reliability. In this study, as an initial attempt to estimate the current population of North Korea, we utilized daytime satellite images from 2023 to estimate the populations of Pyongyang and Kaesong at the grid level. The research resulted in the development of a gridded population estimation model based on a Convolutional Neural Network (CNN). The model was trained on CNN using data from South Korea and aimed to be applied to North Korea. It employed the VGG16 model, a representative algorithm of CNN, for transfer learning. To account for seasonal differences in the images from daytime satellite data, a U-net was used for image adjustment. Furthermore, neighboring effects were incorporated to enhance the model's performance. The model fitting results indicated that the populations of the four major metropolitan cities in South Korea were estimated without significant differences from actual populations. The populations of Pyongyang and Kaesong in North Korea were also estimated to be similar to the 2008 census data, demonstrating satisfactory results.