In apartment buildings in Korea, irregular walls, such as T-, L-, and U-shaped walls, are commonly used. However, in practical design, the geometric irregularities of walls are often neglected when determining the length of the lateral confinement region. Further, although earthquake loads apply from various directions, the lateral confinement region is typically determined for the in-plane direction of the web. Thus, using finite element analysis, this study investigated the structural performance of irregular walls subjected to various loading directions. As the design parameters, wall shape, cross-sectional aspect ratio, and loading direction were addressed. According to the parametric analysis results, as the length of flange in tension increased, the lateral confinement region should be evaluated with consideration of the geometric irregularity. Further, for the L- and U-shaped walls, it is recommended to evaluate the lateral confinement region for various loading directions. Based on these results, a design method to determine the lateral confinement region of irregular walls was suggested.

In the United States, seismic design standards are crucial in classifying buildings into Risk Categories I to IV. These categories are based on the buildings' occupancy type and the potential risk they pose to public safety, the protection of human life, and the socioeconomic consequences of structural collapse in the event of an earthquake. As the risk category increases, a higher seismic importance factor and more stringent drift limits are imposed on the respective building. This results in enhanced lateral strength and stiffness of the seismic force-resisting system. This study, which compares the seismic demands of special moment frame buildings assigned to high-risk categories, focusing on static system overstrength, ductility, and collapse risk, provides practical insights for structural engineers and architects. For this purpose, nonlinear static and dynamic analyses are performed to quantify the seismic demands of 18 steel frame buildings assigned to Risk Categories II, III, and IV. The findings indicate that buildings in Risk Category II do not meet the target collapse risk of 1% in 50 years, as specified in ASCE/SEI 7. For buildings in higher risk categories, the equivalent lateral force method for estimating seismic base shear is deemed more effective in ensuring adequate seismic performance.

Environmental DNA (eDNA) has emerged as a promising tool for aquatic biodiversity monitoring, yet its collection in lentic ecosystems remains technically constrained by filtration capacity and field logistics. In this study, we applied a novel eDNA concentration system, QuickConcTM, to evaluate freshwater mussel diversity in lakes, and compared its performance with the conventional GF/F filtration method. Water samples were collected from four reservoirs at surface, mid, bottom, and waterside layers, and processed using both filtration techniques. Metabarcoding of mitochondrial 16S rDNA revealed that QuickConcTM captured a higher average number of amplicon sequence variants (ASVs) and exhibited greater species richness and diversity indices (Shannon and Simpson), although the differences were not statistically significant. QuickConcTM samples showed a greater capacity to detect rare taxa and to recover higher ASV richness in certain cases, suggesting its potential to enhance biodiversity resolution. Species composition remained consistent across methods, with Cristaria plicata and Sinanodonta lauta being dominant in both cases. However, slight spatial variations in species assemblages were observed between center and waterside sampling points, highlighting the influence of habitat heterogeneity on eDNA distribution. Overall, our results demonstrate that the QuickConcTM system offers a practical and efficient alternative to traditional filtration methods for eDNA-based freshwater mussel monitoring, particularly in environments with high suspended solids. The findings underline the need for adaptive sampling strategies that consider both methodological and ecological factors when designing eDNA surveys in lentic ecosystems.

전 세계적으로 생물다양성을 보호하기 위한 방법으로 보호지역을 지정하고 있지만, 보호지역에 대한 관리 부족으로 효과성을 평가하기 어렵다. 보호지역 효과성 평가를 위해 다양한 지표들을 이용하여 평가하고 있다. 그 중 토지피복 변화 분석은 경제적이고 장기적인 변화 파악이 가능하며, 공간적 제한이 상대적으로 적어 다양한 대상지에서 활용할 수 있다는 장점이 있다. 본 연구에서는 토지피복 변화를 이용하여 야생생물 보호구역의 효과성 평가를 목적으로 한다. 보호지역 내부와 외부, 타 보호지역과의 중복지정 여부, 지정 시기에 따라 과거 자연지역이 농업지역 또는 시가화건조지 역으로 변화한 비율을 분석하였다. 연구 결과로 첫째, 보호지역 내부에서는 보호 효과가 있지만, 외부에서는 개발압력이 있음을 알 수 있다. 둘째, 타 보호지역과 중복된 보호지역일수록 효과가 있음을 알 수 있다. 셋째, 지정 시기가 오래된 보호지역일수록 시간이 지남에 따라 토지피복 변화가 줄어들어 지속적인 효과가 있음을 알 수 있다. 본 연구는 경제적이 고 장기적 변화 파악이 가능한 토지피복을 이용하여 보호지역의 효과성을 정량적으로 평가했다는 점에 의의가 있다. 토지피복은 끊임없이 변화할 것이며, 드론과 같은 첨단장비를 이용하여 실시간 모니터링을 한다면 보호지역의 효과와 압력을 더욱 신속하고 정밀하게 평가할 수 있을 것이다.

본 연구는 중·소규모 사업장의 높은 산업재해를 저감하기 위한 목적으로 자 기규율 예방체계의 위험성평가를 개선하는 방안을 연구하였다. 이론적 고찰을 위해 기존의 위험성평가 방법과 문제점을 파악하였고, 대기업에 비하여 열악한 중·소규모 사업장의 위험성평가수행에 어려움을 인식하였다. 이를 해결하 기 위한 수단으로 중·소규모 사업장의 지속 가능한 발전을 위해 ESG 경영 평가지표를 함께 고찰하였다. ESG 평가지표 중 산업안전 분야의 위험성평가 내용이 일부 존재하여 기존 위험성평가와 ESG 평가지표 간 관계성, GAP분석 을 통해 문제점을 발견하고 리스크마이닝 기법으로 개선방안을 제안하였다. 모든 사업장에 적용가능한 고도화된 자기규율 예방체계의 위험성평가 개선방 안으로 향후 중소규모 사업장의 산업재해를 경감시키는데 중요한 역할을 할 것으로 기대한다.

Autonomous vehicle (AV) technology is rapidly entering the commercialization phase driven by advancements in artificial intelligence, sensor fusion, and communication-based vehicle control systems. Real-world road testing and pilot deployments are increasingly being conducted, both domestically and internationally. However, ensuring the safe operation of AVs on public roads requires not only technological advancement of the vehicle itself but also a thorough pre-evaluation of the road environments in which AVs are expected to operate. However, most previous studies have focused primarily on improving internal algorithms or sensor performance, with relatively limited efforts to quantitatively assess how the structural and physical characteristics of road environments affect AV driving safety. To address this gap, this study quantitatively evaluated the compatibility of road environments for AV operation and defined the road conditions under which AVs can drive safely. Three evaluation scenarios were designed by combining static factors such as curve radius and longitudinal gradient with dynamic factors such as level of service (LOS). Using the MORAI SIM autonomous driving simulator, we modeled the driving behaviors of autonomous vehicles and buses in a virtual environment. For each scenario, the minimum time to collision (mTTC) from the moment the AV sensors detected a lead vehicle was calculated to assess risk levels across different road conditions.The analysis revealed that sharper curves and lower service levels resulted in significantly increased risk. Autonomous buses exhibited a higher risk on downhill segments, autonomous vehicles were more vulnerable to uphill slopes and gradient transitions. The findings of this study can be applied to establish road design standards, develop pre-assessment systems for AV road compatibility, and improve AV route planning and navigation systems, thereby providing valuable implications for policy and infrastructure development.

As conventional road traffic noise prediction models are designed to estimate long-term representative noise levels, capturing fine-scale noise fluctuations caused by real-world traffic dynamics is challenging. A previous study proposed a microscopic road traffic noise model (MTN) can calculate time-series noise levels with a resolution of 1 s using the concept of a moving noise source. In this study, two experiments were conducted to verify the accuracy of the noise prediction of the model. First, by comparing the calculated noise levels of two conventional road traffic noise models and the MTN in a simple road simulation environment, it was confirmed that the calculation error was within 3 dB(A) when calculating the 1-h equivalent noise level. Second, an experiment was conducted to verify the noise prediction error of the MTN on six actual roads. A comparison of the calculated noise level using the MTN based on traffic data collected from actual roads with the measured noise level on real roads showed that the calculated noise level achieved a mean absolute error (MAE) of 1.88 dB(A) from the equivalent noise level and 1.28 dB(A) from the maximum noise level. This was similar to the MAE of the foreign road traffic noise models. However, when the location of the receiver is within 10 m of the road, an error of more than 3 dB(A) occurs because of the simplicity of the MTN propagation model, which remains a problem that must be solved in the future. This study proved that the noise level calculation using the MTN is similar to the noise of an actual road environment. Additionally, the continuous development of the MTN is expected to make it an effective alternative for the management of road noise.

개의 생애 단계에 따른 영양소 이용성을 이해하는 것은 건강, 발달, 그리고 수명 증진을 위해 중요하다. 특히 자견 시기에는 생리적으로 요구되는 영양소의 결핍이나 과잉 없이 최적의 영양 균형을 유지하는 것이 중요하며, 이 시기의 영양 불균형은 장기적으로 개의 건강에 부정적인 영향을 미칠 수 있다. 이유 후 초기 급성장 단계(12~24주령)의 자견과 성견의 소화율에 대한 연구는 많이 수행되었으나, 자견 성장 후기 단계의 소화율에 초점을 맞춘 연구는 제한적이다. 따라서 본 연구는 비글의 성장 후기 단계를 대표하는 30주령과 42주령에서 주요 영양소와 아미노산의 외관상전장소 화율(apparent total tract digestibility, ATTD)을 비교하였다. 비글 8마리를 대상으로 AAFCO에서 제시한 영양소 요구량을 충족하도록 설계된 사료를 통제된 환경에서 2주간 급여하였으며, 전분채취법을 이용하여 소화율을 평가하였다. 성장률(GR)은 30주에 비해 42주령에서 유의미하게 감소하여 체중 증가 속도가 둔화되는 경향이 확인되었다. 주요 영양소 소화율 분석 결과, 조지방 소화율은 30주령에서 99.01 ± 0.10%에서 42주령에서 97.62 ± 0.15%로 통계적으로 유의미하게 감소하였다(p < 0.001). 또한, 건물 소화율 또한 조지방 소화율과 함께 주령 증가에 따라 유의미하게 감소하는 결과를 보였다(p < 0.05). 반면, 히스티딘 소화율은 30주령의 93.55 ± 0.46%에서 42주령의 94.83 ± 0.24%로, 라이신 소화율은 94.60 ± 0.24%에서 95.19 ± 0.19%로, 아르기닌 소화율은 95.78 ± 0.30%에서 96.43 ± 0.21%로 증가하였다(p < 0.05). 본 연구는 비글의 성장 후기 단계에서 성장률과 조지방 흡수가 감소한 반면, 특정 아미노산의 소화율이 개선되었음을 보여준다. 이러한 결과는 비글의 성장 후기 단계에서도 영양소 이용성이 변화할 수 있음을 시사하며, 성장 단계에 따라 정밀한 영양 관리의 중요성을 강조한다.

10년 동안 경남 진주에서 수행된 야외 노출 시험은 실외 접지 환경(H4)에서 Alkaline Copper Quaternary(ACQ)로 방부 처리된 화이트 스프루스 (Picea glauca)의 사용 가능성을 보여주었으나, 10년이 경과하면서 일부 목재 시편에서 목재 부후균에 의한 가해가 관찰되었다. 부후 원인을 종합적으로 평가하기 위해 야외 노출 시험을 종료한 후 목재 시편들의 부후 상태를 조사하였으며 또한 목재 시편 내 방부제 유효 성분의 보유량 및 침윤도를 측정하였다. 스프루스 방부목의 약제 보유량은 국내 방부목 품질 기준(보유량: 5.2kg/m3 이상)을 충족하였으며, 변재 부위는 대부분 균일한 방부 처리를 보였다. 그러나 심재의 경우 자상 처리에도 불구하고 국내 방부목 품질 기준에서 규정하고 있는 최소 침윤 깊이인 8 mm를 충족하지 못하였다. 대부분의 목재 부후는 할렬의 발생에 의해 방부 처리되지 않은 심재의 미처리 부위가 노출됨에 의해 발생하였으며, 토양과 접한 지접부에서 할렬 발생이 다른 부위에 비해 상대적으로 많았는데, 이는 지상부나 지하부에 비해 수분의 이동이 용이하여 목재의 수축과 팽창 발생이 용이하기 때문인 것으로 판단된다. 이상의 결과로부터 H4에서 스프루스 방부목은 자상 처리를 하더라도 방부제가 깊이 침투되지 않는 심재의 특성 때문에 10년 이상의 사용 안전성을 요구하는 산업적인 용도로는 적합하지 않다고 할 수 있다.

Volatile fatty acids (VFAs) are designated as offensive odor substances, and they are known for their strong polarity and adsorptive properties, which can lead to significant losses during sample collection and analysis. This study evaluates two analytical methods currently outlined in the odor process test standards, alongside an analytical system utilizing adsorption tubes and another system that uses ion chromatography (IC). Furthermore, suitable analytical methods were proposed for analyzing concentrations below the odor threshold and emission limits. When assessing SPME-GC/FID, SPME-GC/MSD, TD-GC/MSD, and IC based on the internal quality control standards specified in the process test standards, all methods were found to have met these criteria. The absolute injection amounts (1 atm, 25oC) satisfying the emission limits ranged from 3 to 95 ng, while those that met the odor thresholds ranged from 0.2 to 6.5 ng. Based on these criteria, analytical systems suitable for the specified concentration range and odor thresholds were identified. The results are as follows. 1. The analytical systems confirmed to be suitable for quantifying limits were TD-GC/ MS and IC. 2. In terms of recovery and precision, both TD-GC/MSD and IC were found to be suitable. 3. Regarding detection limits, both previously mentioned systems were satisfactory. 4. Finally, concerning quantitation limits, both systems were adequate; however, TD-GC/MSD slightly exceeded the odor threshold analysis range for propionic acid by approximately 1.5 ng. The odor thresholds for the four VFAs were converted to absolute quantities (1 atm, 25oC), confirming that the IC system met the following criteria: (1) calibration range and curve, (2) accuracy and precision, and (3) instrumental detection and quantitation limits.

Gynura bicolor is a medicinal plant recognized for its antioxidant potential and natural pigments. This study aimed to evaluate antioxidant activities and bioactive compounds’ contents of G. bicolor extracts and solvent fractions prepared using different drying methods and solvent partitioning. Ethanol extracts were obtained from freeze-dried (FD) and hot-air-dried (HD) samples, followed by sequential partitioning with n-hexane (n-Hex), methylene chloride (MC), ethyl acetate (EA), and n-butanol (n-BuOH). Total polyphenol (TP) and flavonoid (TF) contents were measured. Antioxidant activities were assessed via DPPH and ABTS radical scavenging assays. The FD-EtOH extract showed the highest TP (100.8±0.29 mg TAE/mL) and TF (4.72±0.03 mg QE/mL) contents. EA and n-BuOH fractions exhibited significantly higher antioxidant activity than other fractions, suggesting that bioactive compounds were effectively concentrated through selective solvent extraction. These findings indicate that drying and solvent fractionation can significantly affect antioxidant functionality and phytochemical yield. G. bicolor may serve as a promising natural antioxidant and pigment source for functional food and beverage development.

본 연구는 백두대간보호지역의 체계적 관리를 위한 관리효과성 평가지표를 개발하고자 하였다. IUCN-WCPA의 평가틀과 관리효과성 추적기법 (METT)을 기반으로 국내외 문헌과 사례를 분석하고, 텍스트 마이닝 기법을 통해 범주별 핵심 키워드를 도출하였다. 이후 산림 분야 전문가 8인을 대상으로 2회에 걸친 델파이 조사를 실시하여 평가지표의 타당성과 합의도를 검증하였다. 그 결과, 1차 조사에서는 CVR 기준 미달 항목 16개가 삭제되고, 2차 조사에서 2개 항목이 추가로 제외되었으며, 전문가 피드백을 반영하여 ‘지역사회 참여 구조’, ‘장비·시설의 유지 관리’, ‘침입종 피해 여부’ 등 현장 적용성이 높은 항목이 새로 포함되었다. 최종적으로 상황 4개, 계획 3개, 투입 4개, 과정 5개, 결과 4개, 성과 6개 등 총 26개의 평가지표가 도출되었으며, 전문가 합의도(0.83)와 수렴도(0.38) 수준에서 만족스러운 신뢰도를 확보하였다. 평가 대상자 유형별로는 관리담당 자 25개, 전문가 26개, 지역주민 4개 항목으로 차등 적용되도록 설계되었으며, ‘관리주체의 적합성’ 등은 전문가 전용 항목으로 구분하였다. 본 연구는 백두대간보호지역의 특성과 현장 문제를 반영한 실질적 지표 체계를 구축함으로써, 향후 법제화 기반 마련과 보호지역의 통합적·지속가능한 관리전략 수립에 기여할 수 있을 것으로 기대된다.

This study evaluated the field applicability of a real-time odor monitoring system combined with ozone water spraying technology to effectively control odors generated in livestock manure recycling facilities. Research was conducted at a Natural Circulation Agriculture Center located in N City, where concentrations of ammonia (NH3), hydrogen sulfide (H2S), and volatile organic compounds (VOCs) were measured in real time. Based on real-time data, ozone water was sprayed to assess the odor reduction rate, and the impact on surrounding areas was predicted through odor dispersion modeling. The results showed that the ammonia concentration measured at the upper section of the liquid aeration tank before ozone water spraying was 8.02 ppm, exceeding the emission limit of 1 ppm. VOCs were also found to have significantly contributed to odor generation. However, after spraying ozone water at a rate of 7 L/min and maintaining a concentration of 2.5 mg/L, ammonia was reduced by approximately 50%, and VOCs were reduced by about 98%, demonstrating a strong odor-reducing effect. Odor dispersion modeling using the CALPUFF modeling system simulated the range of odor dispersion before and after ozone water spraying. The results indicated that after ozone water spraying, the ammonia concentration at the facility boundary met the emission limit, effectively suppressing odor dispersion. In particular, the ozone water spraying system linked with the real-time sensor enabled automated odor control based on real-time data, demonstrating its potential for resolving odor complaints and ensuring compliance with environmental regulations.

Oral squamous cell carcinoma (OSCC), which accounts for over 90% of malignancies in the oral cavity, is associated with a poor prognosis, with a 5-year mortality rate reaching of up to 44%. The incidence of OSCC continues to rise annually, and current treatment typically involves a combination of surgical resection, chemotherapy, and radiotherapy. In recent years, there has been growing interest in targeted therapies that exploit molecular markers involved in tumor growth and metastasis. Among these targets, immune checkpoint molecules such as programmed cell death 1 receptor (PD-1) and its ligand, programmed cell death-ligand 1 (PD-L1), have garnered significant attention. Therapies that inhibit these immune checkpoints have been approved for various malignancies, offering new avenues for treatment. Pembrolizumab (Keytruda), a PD-1 immune checkpoint inhibitor, has emerged as a promising therapuetic option for OSCC. However, its clinical response rate in OSCC patients remains below 20%, highlighting the need for combination strategies to enhance therapeutic efficacy. One such approach involves non-thermal plasma (NTP), a novel modality that selectively induces apoptosis in cancer cells. In this study, the authors evaluated the combined effect of Keytruda and NTP in an OSCC xenograft mouse model. The combination therapy demonstrated the tendency of suppressed tumor growth compared to Keytruda monotherapy. This effect was accompanied by increased apoptosis, as indicated by elevated cleaved caspase-3 expression, and reduced proliferation, as shown by decreased Ki-67 expression. Although preliminary, these findings may support the potential clinical application of Keytruda-NTP combined therapy as a novel treatment strategy for OSCC.

본 연구는 산업안전보건법 제57조, 시행규칙 제73조에 근거한 산업재해조사표와 관련하여 산업재해 예방 관점에서 산업재해조사표의 문제점을 경험적으로 확인하고 자율 안전보건 관리체계 구축을 위한 활용 방안을 제언하였다. 2017~2020년에 제출된 산업재해조사표 1,200건을 무선 추출하여 재해발생 개요 및 원인, 재발방지계획을 대상으로 작성된 내용 적정성을 분석하고 계량적 평정을 통해 업종과 규모별 내용작성 차이를 통계적으로 분석하 였다. 또한 일반적인 산업재해조사표 작성 사례를 작성방법과 비교하여 정리하였다. 연구 결과, 제조업과 건설업에 비해 기타업종은 평정점수가 낮게 나타났으며, 규모가 작은 사업 장일수록 평정점수가 낮게 나타나 산업재해조사표의 내용 적정성 수준이 상대적으로 낮은 것으로 확인되었다. 일반적인 작성 사례를 비교한 결과, 재해발생 개요 및 원인을 구체적으 로 작성하지 않는 경우와 더불어 사고의 원인과 결과를 단순화시켜 작성한 경우가 많았다. 산업재해조사표의 목적과 중요성을 고려할 때, 작성방법에 대한 교육과 홍보, 관련 업무의 인력 보충 및 업무처리 절차 개선, 그리고 산업재해 예방사업과의 연계가 필요하다.

This paper presents a novel methodology for assessing the vulnerabilities of autonomous vehicles (AVs) across diverse operational design domains (ODDs) related to road transportation infrastructure, categorized by the level of service (LOS). Unlike previous studies that primarily focused on the technical performance of AVs, this study addressed the gap in understanding the impact of dynamic ODDs on driving safety under real-world traffic conditions. To overcome these limitations, we conducted a microscopic traffic simulation experiment on the Sangam autonomous mobility testbed in Seoul. This study systematically evaluated the driving vulnerability of AVs under various traffic conditions (LOSs A–E) across multiple ODD types, including signalized intersections, unsignalized intersections, roundabouts, and pedestrian crossings. A multivariate analysis of variance (MANOVA) was employed to quantify the discriminatory power of the evaluation indicators as the traffic volume was changed by ODD. Furthermore, an autonomous driving vulnerability score (ADVS) was proposed to conduct sensitivity analyses of the vulnerability of each ODD to autonomous driving. The findings indicate that different ODDs exhibit varying levels of sensitivity to autonomous driving vulnerabilities owing to changes in traffic volume. As the LOS deteriorates, driving vulnerability significantly increases for AV–bicycle interactions and AV right turns at both signalized and unsignalized intersections. These results are expected to be valuable for developing scenarios and evaluation systems to assess the driving capabilities of AVs.

The purpose of this study is to evaluate by experiments and 3-D finite element predictions of strain-hardening cementitious composite(SHCC) structural walls. The specimen of concrete wall used shear reinforcements to satisfy with design shear strength, while the specimen of a SHCC wall used minimum shear reinforcement. The finite element prediction is based on the total strain crack model, and appropriate tensile models were applied according to the material characteristics of concrete and SHCC. The accuracy of the finite element prediction was verified by comparison with experimental results, and the SHCC wall showed superior structural performances in overall load-carrying capacity as well as in reductions of damages caused by crack localizations, even with minimum use of shear reinforcements.

South Korea has the highest suicide rate among the major OECD countries. The suicide rate in Seoul ranges from 21.3 to 23.2 per 100,000 individuals. To improve the survival rate of individuals attempting suicide on Han River bridges, the Seoul Fire Department began installing CCTVs on these bridges in 2012 and has been monitoring them to assess their effectiveness using collected data. This study aimed to evaluate the operational impact of deploying professional monitoring personnel and establishing an integrated video monitoring center by comparing suicide statistics before and after its implementation. The analysis distinguished between two periods: one when water rescue team members monitored the footage themselves after installing their own video monitoring center and the other when deploying professional monitoring personnel and establishing an integrated video monitoring center. After deploying professional monitoring personnel and operating the integrated video monitoring center, the number of rescue dispatches increased by an average of 50%, the survival rate improved by an average of 4.9%, and the mortality rate declined by an average of 4.9%.

본 연구는 규사 기반의 표면처리 기법이 FRCM 복합체의 인장 성능에 미치는 영향을 정량적으로 평가하고자 수행되었다. 실험은 탄소 및 내알칼리성 유리 직물을 사용하여 표면처리 유무를 변수로 설정하였으며, 총 4개의 실험군(CN, CS, GN, GS)에 대해 인장 실험을 수행하였다. 실험 결과, 탄소 직물을 적용한 복합체는 유리 직물 대비 우수한 인장 성능을 나타냈으며, 특히 표면처리된 탄소 실험군(CS)은 비처리 실험군(CN) 대비 약 73.7%의 인장강도 향상과 66.9%의 인성 증가를 보였다. 또한 유효계수(COE) 분석을 통해 직물의 기계적 성능이 복합체에 기여하는 정도를 정량화하였으며, 표면처리가 계면 부착 성능 및 응력 전달 효율 향상에 기여함을 확인하였다. 이를 통해 FRCM 복합체가 실구조물에 적용될 경우 일체화된 거동 확보를 기반으로 구조적 성능의 향상 등의 보강 효과를 기대할 수 있는 기술적 가능성을 제시하였다. 본 연구는 FRCM 복합체의 표준화 및 성능 향상을 위한 기초 자료를 제공하며, 향후 실 구조물 적용 및 수치해석 모델링의 신뢰성 제고에 기여할 수 있을 것으로 판단된다.

This study develops a comprehensive road operation evaluation model that integrates the perspectives of three principal stakeholders: road users prioritizing congestion mitigation, operators emphasizing investment efficiency, and policymakers advocating broader societal goals such as carbon reduction. The analysis database was constructed using traffic data obtained from reliable sources, including the Korea Transport Institute's Big Data Center and Suwon City's Urban Safety Integration Center. Binary logistic regression was employed to identify the factors influencing traffic congestion from the users’ perspective, whereas multiple linear regression models were used to analyze road investment efficiency from the operators’ viewpoint and carbon dioxide emissions from the policymakers’ standpoint. Statistical analyses were conducted on 4,322 road segments in Suwon City, with each evaluation criterion assigned an equal weight of 33.3 points in a unified 100-point scoring system. The analysis identified 15 statistically significant indicators affecting the three evaluation criteria, with the resulting models demonstrating strong explanatory power, evidenced by adjusted R² values of 0.197, 0.593, and 0.544 for traffic congestion, road investment efficiency, and carbon dioxide emission models, respectively. A volume-to-capacity (V/C) ratio of 0.64 was determined to represent the optimal balance point at which the requirements of all stakeholder groups align. When applied to Suwon City's arterial road network, the model identified 248 high-congestion segments (53.13 km), 203 segments with low investment efficiency (26.8 km), and 357 segments with high carbon emissions (156.33 km), each requiring targeted operational improvements. The proposed model addresses the limitations of existing single-stakeholder evaluation frameworks by offering transportation authorities a systematic and multi-dimensional approach to road operation assessment.