Analysis of the impact of COVID-19 on collisions, fatalities and injuries using time series forecasting: The case of Greece


Posted: 2021-09-15 19:00:00
Accid Anal Prev . 2021 Sep 4;162:106391. doi: 10.1016/j.aap.2021.106391. Online ahead of print. Affiliations Expand Affiliations 1 National Technical University of Athens, Department of Transportation Planning and Engineering, 5 Heroon Polytechniou str., GR-15773 Athens, Greece. 2 National Technical University of Athens, Department of Transportation Planning and Engineering, 5 Heroon Polytechniou str., GR-15773 Athens, Greece. Electronic address: ckatrakazas@mail.ntua.gr. 3 School of Civil Engineering, Division of Transportation and Construction Management, Highway Laboratory, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece. Item in Clipboard Marios Sekadakis et al. Accid Anal Prev. 2021. Show details Display options Display options Format Accid Anal Prev . 2021 Sep 4;162:106391. doi: 10.1016/j.aap.2021.106391. Online ahead of print. Affiliations 1 National Technical University of Athens, Department of Transportation Planning and Engineering, 5 Heroon Polytechniou str., GR-15773 Athens, Greece. 2 National Technical University of Athens, Department of Transportation Planning and Engineering, 5 Heroon Polytechniou str., GR-15773 Athens, Greece. Electronic address: ckatrakazas@mail.ntua.gr. 3 School of Civil Engineering, Division of Transportation and Construction Management, Highway Laboratory, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece. Item in Clipboard CiteDisplay options Display options Format Abstract The current study aims to investigate the impact of the COVID-19 pandemic on road traffic collisions, fatalities, and injuries using time series analyses. To that aim, a database containing road collisions, fatalities, and slight injuries data from Greece were derived from the Hellenic Statistical Authority (HSA) and covered a ten-year timeframe (from January 2010 to August 2020. The chosen time period contained normal operations, as well as the period of the first COVID-19-induced lockdown period in Greece. Three different Seasonal Autoregressive Integrated Moving Average (SARIMA) time series models were implemented in order to compare the observed measurements to forecasted values that were intended to depict assumed conditions; namely, without the appearance of the COVID-19 pandemic. Modelling results revealed that the total number of road collisions, fatalities, and slightly injured were decreased, mainly due to the sharp traffic volume decrease. However, the percentage reduction of the collision variables and traffic volume were found to be disproportionate, which probably indicates that more collisions occurred with regard to the prevailing traffic volume. An additional finding is that fatalities and slightly injured rates were significantly increased during the lockdown period and the subsequent month. Overall, it can be concluded that a worse performance was identified in terms of road safety. Since subsequent waves of COVID-19 cases and other pandemics may reappear in the future, the outcomes of the current study may be exploited for the improvement of road safety from local authorities and policymakers. Keywords: COVID-19; Fatalities; Injuries; Road Safety; Road collisions; Time Series. Copyright © 2021 Elsevier Ltd. All rights reserved. [x] Cite Copy Format: Send To [x]

参考サイト PubMed: covid-19



バイオクイックニュース日本語版:COVID-19特集

バイオクイックニュース日本語版
12月 04, 2020 バイオアソシエイツ

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