Resilience Analysis of Urban Traffic System Based on Extension AHP-CRITIC Comprehensive Weighting-Cloud Model: A Case Study of Guangzhou

Abstract

Urban traffic congestion has become a common problem faced by major cities around the world. How to improve the resilience of urban transportation systems and alleviate urban traffic congestion issues urgently needs to be addressed. Therefore, taking the resilience of the urban transportation system as the topic, selecting the overall transportation system of Guangzhou as the research object, exploring the resilience of the entire Guangzhou transportation system, and proposing an evaluation model to handle uncertainty and ambiguity. Firstly, by analyzing the resilience of urban transportation and reviewing a large number of relevant literature, a series of indicators for the urban transportation system were selected based on scientific rigor, and an evaluation system for the resilience of the urban transportation system was constructed. Secondly, expert evaluations are collected through questionnaires, and subjective weights are obtained using extensible AHP. The collected objective data is then subjected to CRITIC method to obtain objective weights, which are then combined with game theory for weighting. Finally, a cloud model is introduced to simulate the uncertainty and fuzziness of the evaluation process, calculate the urban resilience index, classify the resilience of Guangzhou's transportation system as "strong resilience", and propose effective suggestions to improve the resilience of Guangzhou's transportation system: enhance social resource investment, create and promote employment, continuously optimize urban construction, develop diversified transportation networks, and finely manage urban cargo flow.