The Evaluation of Highway Collapse Hazard Based on the Fuzzy Comprehensive Evaluation Method

Abstract

Highway collapse hazard is the combined result of many factors. Based on the formation mechanism of the road collapse hazard and main the factors, they are selected from three aspects of risk assessments master factor: the regional geological structure, slope characteristics, and regional environmental characteristics, also ultimately select the spacing of the joints, slope lithology, slope structure, slope height, slope gradient, rainfall (rainfall in 24 hours to ≥ 25mm of days), the vegetation coverage degree and earthquake strong eight main control factors, above all these factors, they established a road collapse hazard evaluation index system. Based on the fuzzy comprehensive evaluation method, it establishes a road collapse hazard evaluation model. Analytic Hierarchy Process is used to determine the evaluation index system of layers in index weight values. Risk index is based on the evaluation criteria. Finally, an empirical study of two highway projects instances.

The Application of the Fuzzy Analytic Hierarchy Process in the Assessment and Improvement of the Human Settlement Environment

“…In order to solve this problem, the FCEM based on fuzzy mathematics was applied to AHP in this article, which can overcome the shortcoming of AHP. The core of the FCEM is to change qualitative subjective judgment into quantitative objective judgment based on membership theory, that is, a comprehensive, accurate and objective evaluation of things or objects restricted by many factors was made according to fuzzy mathematics [54,55].…”

An Integrated Model for Risk Assessment of Urban Road Collapse Based on China Accident Data

“…The first step in implementing the risk assessment of road collapse is to identify risk factors. Existing studies related to collapse risk assessment mainly focus on geological and environmental indicators, such as lithology and soil type [4,5], changes in river and groundwater levels [6], quantity of rainfall [7], fault zones [8], etc. Related studies on the influence of human factors on road collapse have mainly focused on vehicle loads [9,10], underground construction [11], etc., and have insufficient attention to management factors.…”

“…Then, road collapse losses are categorized and rated, and semi-quantitative ground collapse risk assessment is realized through consequence prediction grading. The existing road collapse risk assessment model based on fuzzy comprehensive evaluation assumes that each risk factor is relatively independent, and insufficient consideration is given to the coupling relationship between each factor [7,[19][20][21][22][23][24][25]. The accuracy of road collapse risk assessment models based on the analytic hierarchy process [1,[26][27][28][29][30][31] and weighted arithmetic mean method [12,[32][33][34][35][36] heavily depends on the level of expert knowledge with high subjectivity.…”