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Journal of Fixed Income ; 32(3):83-155, 2023.
Article in English | Scopus | ID: covidwho-2319756
Journal of Investigative Medicine ; 71(1):626-627, 2023.
Article in English | EMBASE | ID: covidwho-2312757
Geophysical Research Letters ; 50(5), 2023.
Article in English | Scopus | ID: covidwho-2287605
Journal of Building Engineering ; 65, 2023.
Article in English | Scopus | ID: covidwho-2245648
Sustainability ; 15(2), 2023.
Article in English | Web of Science | ID: covidwho-2234115


Aiming at the problem of metro operation and passenger transport organization under the impact of the novel coronavirus (COVID-19), a collaborative determination method of train planning and passenger flow control is proposed to reduce the train load rate in each section and decrease the risk of spreading COVID-19. The Fisher optimal division method is used to determine reasonable passenger flow control periods, and based on this, different flow control rates are adopted for each control period to reduce the difficulty of implementing flow control at stations. According to the actual operation and passenger flow changes, a mathematical optimization model is established. Epidemic prevention risk values (EPRVs) are defined based on the standing density criteria for trains to measure travel safety. The optimization objectives of the model are to minimize the EPRV of trains in each interval, the passenger waiting time and the operating cost of the corporation. The decision variables are the number of running trains during the study period and the flow control rate at each station. The original model is transformed into a single-objective model by the linear weighting of the target, and the model is solved by designing a particle swarm optimization and genetic algorithm (PSO-GA). The validity of the method and the model is verified by actual metro line data. The results of the case study show that when a line is in the moderate-risk area of COVID-19, two more trains should be added to the full-length and short-turn routes after optimization. Combined with the flow control measures for large passenger flow stations, the maximum train load rate is reduced by 35.18%, and the load rate of each section of trains is less than 70%, which meets the requirements of COVID-19 prevention and control. The method can provide a theoretical basis for related research on ensuring the safety of metro operation during COVID-19.

Infectious Diseases and Immunity ; 2(3):210-212, 2022.
Article in English | Scopus | ID: covidwho-2212968
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology ; 22(3):15-24, 2022.
Article in Chinese | Scopus | ID: covidwho-1924762
Drug Evaluation Research ; 44(7):1568-1572, 2021.
Article in Chinese | Scopus | ID: covidwho-1912083
2021 International Conference on Computational Modeling, Simulation, and Data Analysis, CMSDA 2021 ; 12160, 2022.
Article in English | Scopus | ID: covidwho-1774928
European Journal of Public Health ; 31:1, 2021.
Article in English | Web of Science | ID: covidwho-1610151
7th IEEE World Forum on Internet of Things, WF-IoT 2021 ; : 741-746, 2021.
Article in English | Scopus | ID: covidwho-1550772
China CDC Weekly ; 2(6):83-86, 2020.
Article in English | MEDLINE | ID: covidwho-1445121
IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021 ; 632 IFIP:673-680, 2021.
Article in English | Scopus | ID: covidwho-1437179
Online Teaching and Learning in Higher Education during COVID-19: International Perspectives and Experiences ; : 181-198, 2021.
Article in English | Scopus | ID: covidwho-1411374