Wang, Jianjun and Ma, Chicheng and Wang, Sai and Lu, Xiaojuan and Li, Dongyi (2022) Risk assessment model and sensitivity analysis of ordinary arterial highways based on RSR-CRITIC-LVSSM-EFAST. Sustainability, 14 (23). ISSN 2071-1050, DOI https://doi.org/10.3390/su142316096.
Full text not available from this repository.Abstract
In this paper, in order to evaluate the traffic safety status of ordinary arterial highways, identify the sources of safety risks, and formulate safety development countermeasures for arterial highways to reduce accident risks, a combination method involving rank-sum ratio (RSR), criteria importance though intercriteria correlation (CRITIC), and least squares support vector machine (LVSSM) is adopted. The traffic safety risk index system and risk assessment model of ordinary arterial highways with two dimensions of risk severity and accident severity are established. Based on the global sensitivity analysis of the extended Fourier amplitude sensitivity test (EFAST), the resulting risk assessment model for ordinary arterial highways is proposed. Combined with the current traffic safety situation of ordinary arterial highways in Weinan City, Shaanxi Province, China, data collection and analyses were carried out from the perspectives of traffic operation status, personnel facilities management, road environment characteristics, and accident occurrence patterns. The results show that the risk level of ordinary arterial highways can be obviously divided into warning areas, control areas, and prompt areas. The proportion of roads through villages and the number of deceleration facilities belong to the highly sensitive indicators of the S107 safety risk, which need to be emphatically investigated. This analysis method based is on the RCLE (RSR-CRITIC-LVSSM-EFAST) risk assessment model and has high operability and adaptability. It can be adaptively divided according to the requirements of risk-level differentiation, and the road risk classification can be displayed more intuitively, which is conducive to formulating targeted improvement measures for arterial highway safety and ensuring the safe and orderly operation of arterial highway traffic.
| Item Type: | Article |
|---|---|
| Funders: | National Natural Science Foundation of China (NSFC) (Grant No: 52172338), Xi'an 2022 Social Science Planning Fund (Grant No: 22JX201) |
| Uncontrolled Keywords: | Traffic safety; Arterial highways risk assessment; Risk level; RSR; CRITIC; LVSSM; EFAST sensitivity analysis |
| Subjects: | T Technology > TE Highway engineering. Roads and pavements |
| Divisions: | Faculty of Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 23 Nov 2023 03:43 |
| Last Modified: | 23 Nov 2023 03:43 |
| URI: | http://eprints.um.edu.my/id/eprint/40318 |
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