제주도 지방도 포장의 공용성에 영향을 미치는 인자의 분석 = Analysis of Factors Affecting Performance of Jeju Island Local Road Pavement

다국어 초록 (Multilingual Abstract)

PURPOSES : The objective of this study is to develop regression models for surface distress (SD), rut depth (RD), and international roughness index (IRI) of Jeju Island local road by analyzing the correlations between the pavement performance and its influencing factors.
METHODS : First, the differences between pavements in inland Korea and Jeju Island in terms of performance and influencing factors were investigated. Influencing factors were assigned to pavement sections on Jeju Island using the inverse distance weighting method, and the correlations between the pavement performance and influencing factors were analyzed. As a result, maximum temperature, heat wave days, annual temperature range, precipitation days, precipitation intensity, ESAL, etc. were determined as independent variables for the pavement performance prediction models. Multiple regression analysis was performed to develop the pavement performance models using the selected independent variables.
RESULTS : The RD, maximum temperature, and precipitation days were determined to be the independent variables for the SD predictive model. The SD, maximum temperature, annual temperature range, heat wave days, and precipitation days were selected as independent variables of the RD prediction model. In addition, the RD, annual temperature range, heat wave days, precipitation days, and ESAL were selected as independent variables for the IRI prediction model.
CONCLUSIONS : As a result of the study, an actual forecast model for SD, RD, and IRI was developed. Based on this model, it is possible to estimate the predictive value of the missing performance data in the studied interval. If the factors affecting performance are managed in terms of maintenance beyond a certain level, it can help those responsible for road maintenance to rationally select the maintenance method and timing.

참고문헌 (Reference)

1 이재훈 ; 임재규 ; 최문규 ; 정진훈, "일반국도 아스팔트 포장 연간 소성변형 깊이 변화량 예측 모형 개발" 한국도로학회 23 (23): 11-19, 2021

2 유지수 ; 무하마드 와심 ; 신지예 ; 김태웅, "미계측 유역의 유량지속곡선 산정을 위한 확장역거리가중법의 적용성 평가" 한국방재학회 15 (15): 329-337, 2015

3 서영찬 ; 권상현 ; 정동혁 ; 정진훈 ; 강민수, "고속도로 PMS D/B를 활용한 콘크리트 포장 상태지수(HPCI) 예측모델 개발 연구" 한국도로학회 19 (19): 83-95, 2017

4 Ministry of Land, Infrastructre and Transport (MOLIT), "Yearbook of Road Statistics" 2021

5 R.W. Sinnott, "Virtues of the Haversine" 68 (68): 1984

6 Jeju City Hall, "Vehicle registration status"

7 S. H. Lee, "The Distribution of Precipitation in Cheju Island" 34 (34): 123-136, 1999

8 Freedman D, "Statistics" WW Norton & Company 2007

9 R. B. Kline, "Principles and Practice of Structural Equation Modeling" Guilford Press 2005

10 H. K. Zubeck, "Prediction of Low-Temperature SDacking of Asphalt ConSDete Mixtures with Thermal Stress Restrained Specimen Test Results" 1545 (1545): 50-58, 1996

11 Latin American Study Team, "Modeling Road Design and Maintenance Effects for Pavement in HDM-4 Final Report, FICEM, International Study of Highway Development and management Tools" 1996

12 N. Kock, "Lateral Collinearity and Misleading Results in Variance-Based SEM: An Illustration and Recommendations" 13 (13): 546-580, 2012

13 Nader Abdelaziz, "International Roughness Index Prediction Model for Felxible Pavements" 21 (21): 88-99, 2020

14 Ministry of Land, Infrastructre and Transport (MOLIT), "Guide for Road Pavement Structures Design"

15 Korea Insitute of Civil Engineering and Building Technology (KICT), "Development of Jeju pavement maintenance and amanagement technology for the regional characteristics of Jeju Island" 2020

16 Lim J. G, "Development of Condition Predection Model for Asphalt Pavement Using National Highway PMS Database" Inha University 2021

17 Ministry of Land, Infrastructre and Transport (MOLIT), "Detailed Guidelines for Safety and Maintenance of Facilities" 2020

18 Ministry of Land, Infrastructre and Transport (MOLIT), "Cadastral Statistical Annual Report" 2021

19 G. Y. Lu, "An Adaptive Inverse-Distance Weighting Spatial Interpolation Technique" 34 (34): 1044-1055, 2008

20 Ministry of Land, Infrastructre and Transport (MOLIT), "2019PMS Final Report" 2019

21 National Institute of Meteorological Sciences (NIMS), "100Years of Climate Change on the Korean Peninsula" 2011