{"title":"Evaluating the Impact of COVID-19 on Transportation Infrastructure Funding in the United States","authors":"Lu Gao, Pan Lu, F. Qiao, J. Li, Yunpeng Zhang, Yihao Ren","doi":"10.1061/9780784484364.012","DOIUrl":null,"url":null,"abstract":"The coronavirus disease 2019 (COVID-19) pandemic has caused a reduction in business and routine activity and resulted in less motor fuel consumption. Thus, the gas tax revenue is reduced, which is the major funding resource supporting the rehabilitation and maintenance of transportation infrastructure systems. The focus of this study is to evaluate the impact of the COVID-19 pandemic on transportation infrastructure funds in the United States through analyzing the motor fuel consumption data. Machine learning models were developed by integrating COVID-19 scenarios, fuel consumptions, and demographic data. The best model achieves an R2-score of more than 95% and captures the fluctuations of fuel consumption during the pandemic. Using the developed model, we project future motor gas consumption for each state. For some states, the gas tax revenues are going to be 10%-15% lower than the pre-pandemic level for at least one or two years. © 2022 International Conference on Transportation and Development","PeriodicalId":136641,"journal":{"name":"International Conference on Transportation and Development 2022","volume":"247 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Transportation and Development 2022","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1061/9780784484364.012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
评估COVID-19对美国交通基础设施资金的影响
2019年冠状病毒病(COVID-19)大流行导致商业和日常活动减少,并导致汽车燃料消耗减少。因此,减少了汽油税收入,这是支持恢复和维护运输基础设施系统的主要资金来源。本研究的重点是通过分析汽车燃油消耗数据来评估COVID-19大流行对美国交通基础设施资金的影响。通过整合COVID-19情景、燃料消耗和人口统计数据,开发了机器学习模型。最佳模型的r2得分达到95%以上,并能捕捉大流行期间燃料消耗的波动。利用开发的模型,我们预测了每个州未来的汽车气体消耗。对于一些州来说,至少在一到两年内,汽油税收入将比大流行前的水平低10%-15%。©2022年国际交通与发展会议
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