재난 강도에 따른 도로 네트워크의 성능 및 회복력 산정 방안

서지정보

ㆍ발행기관 : 한국도로학회 ㆍ수록지정보 : 한국도로학회논문집 / 20권 / 1호
ㆍ저자명 : 정호용, 최승현, 도명식

목차

ABSTRACT
1. 서론
2. 네트워크의 성능 및 회복력
2.1. 선행연구 고찰
2.2. 성능 변화에 따른 통행시간비용 및 회복력
2.3. 회복력과 한계효용체감
3. 도로파손 정도에 따른 영향력 분석
3.1. 분석대상지역 선정
3.2. 통행시간비용 산정방법
3.3. 회복력 산정방법
3.4. 통행시간비용 및 회복력 산정결과
4. 우선관리도로 복구효과와 한계효용체감
5. 결론 및 향후 과제
REFERENCES

영어 초록

PURPOSES: This study examines the performance changes of road networks according to the strength of a disaster, and proposes a method for estimating the quantitative resilience according to the road-network performance changes and damage scale. This study also selected highinfluence road sections, according to disasters targeting the road network, and aimed to analyze their hazard resilience from the network aspect through a scenario analysis of the damage recovery after a disaster occurred.
METHODS: The analysis was conducted targeting Sejong City in South Korea. The disaster situation was set up using the TransCAD and VISSIM traffic-simulation software. First, the study analyzed how road-network damage changed the user’s travel pattern and travel time, and how it affected the complete network. Secondly, the functional aspects of the road networks were analyzed using quantitative resilience. Finally, based on the road-network performance change and resilience, priority-management road sections were selected.
RESULTS: According to the analysis results, when a road section has relatively low connectivity and low traffic, its effect on the complete network is insignificant. Moreover, certain road sections with relatively high importance can suffer a performance loss from major damage, for e.g., sections where bridges, tunnels, or underground roads are located, roads where no bypasses exist or they exist far from the concerned road, including entrances and exits to suburban areas. Relatively important roads have the potential to significantly degrade the network performance when a disaster occurs. Because of the high risk of delays or isolation, they may lead to secondary damage. Thus, it is necessary to manage the roads to maintain their performance.
CONCLUSIONS : As a baseline study to establish measures for traffic prevention, this study considered the performance of a road network, selected high-influence road sections within the road network, and analyzed the quantitative resilience of the road network according to scenarios. The road users’passage-pattern changes were analyzed through simulation analysis using the User Equilibrium model. Based on the analysis results, the resilience in each scenario was examined and compared. Sections where a road’s performance loss had a significant influence on the network were targeted. The study results were judged to become basic research data for establishing response plans to restore the original functions and performance of the destroyed and damage road networks, and for selecting maintenance priorities.

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