Urban Network Risk Assessment Based on Data Fusion Concept using Fuzzy-AHP, TOPSIS and VIKOR in GIS Environment

Risk assessment of urban network using traffic indicators determines vulnerable links with high danger of traffic incidents. Thus, determination of an appropriate methodology remains a big challenge to achieve this objective. Here, we propose a methodology based on data fusion using fuzzy-AHP, TOPSIS and VIKOR to achieve this aim. The proposed methodology tries to address two main points: first, use of fuzzy AHP for weight estimation of risk indicator to overcome the problem of some famous weighting method such as AHP that uses a limited scale of Saaty. Since a risk assessment decision maker prefer to consider a criterion with in a range, instead of using an exact number, as Saaty’s scale, a fuzzy triangular number is proposed in our methodology, and second use of TOPSIS is proposed for risk score estimation respecting estimated weight, because all the input risk data have numerical values. Furthermore, risk evaluation is done using distance from an ideal solution. The output is evaluated in 2 different ways: (1) using sensitivity analysis and (2) checking the accuracy in comparison with similar numerical results from VIKOR. The proposed methodology is evaluated using a pilot urban link in the state of California in USA.