COVID-19 and transport safety

References

• Abegaz, T., Berhane, Y., Worku, A., Assrat, A., & Assefa, A. (2014). Effects of excessive speeding and falling asleep while driving on crash injury severity in Ethiopia: A generalized ordered logit model analysis. Accident Analysis & Prevention, 71, 15–21. https://doi.org/10.1016/j.aap.2014.05.003
   PubMed Web of Science ®Google Scholar
• Abraham, J. O., & Mumma, M. A. (2021). Elevated wildlife-vehicle collision rates during the COVID-19 pandemic. Scientific Reports, 11(1), 1. https://doi.org/10.1038/s41598-021-99233-9
   PubMed Web of Science ®Google Scholar
• Adanu, E. K., Brown, D., Jones, S., & Parrish, A. (2021). How did the COVID-19 pandemic affect road crashes and crash outcomes in Alabama? Accident Analysis & Prevention, 163, 106428. https://doi.org/10.1016/j.aap.2021.106428
   PubMed Web of Science ®Google Scholar
• Adanu, E. K., Okafor, S., Penmetsa, P., & Jones, S. (2022). Understanding the factors associated with the temporal variability in crash severity before, during, and after the COVID-19 shelter-in-place order. Safety, 8(42), 42. https://doi.org/10.3390/safety8020042
   Google Scholar
• Afghari, A. P., Haque, M., & Washington, S. (2018). Applying fractional split model to examine the effects of roadway geometric and traffic characteristics on speeding behavior. Traffic Injury Prevention, 19(8), 860–866. https://doi.org/10.1080/15389588.2018.1509208
   PubMed Web of Science ®Google Scholar
• Alhajyaseen, Wael K. M, Almukdad, A., Hussain, Q., Almallah, M., Al Malki, M. A., Singaravelu, J., & Zammataro, S. (2022). Road safety status during COVID-19 pandemic: Exploring public and road safety expert’s opinions. International Journal of Injury Control and Safety Promotion, 29(2), 135–151. http://doi.org/10.1080/17457300.2021.1962915
   PubMed Web of Science ®Google Scholar
• Amberber, N., Howard, A., Winters, M., Harris, M. A., Pike, I., Machperson, A., Cloutier, M.-S., Richmond, S. A., Hagel, B., Fuselli, P., & Rothman, L. (2021). Road traffic injury during the COVID-19 pandemic: Cured or a continued threat? University of Toronto Journal of Public Health, 2(1), 1. https://doi.org/10.33137/utjph.v2i1.34737
   Google Scholar
• Barnes, S. R., Beland, P., Huh, J., & Kim, D. (2021). COVID-19 lockdown and traffic accidents: Lessons from the pandemic. 20.
   Google Scholar
• Buehler, R., & Pucher, J. (2021). COVID-19 impacts on cycling, 2019–2020. Transport Reviews, 41(4), 393–400. https://doi.org/10.1080/01441647.2021.1914900
   Web of Science ®Google Scholar
• Chand, S., Yee, E., Alsultan, A., & Dixit, V. V. (2021). A descriptive analysis on the impact of COVID-19 lockdowns on road traffic incidents in Sydney, Australia. International Journal of Environmental Research and Public Health, 18(21), 11701. https://doi.org/10.3390/ijerph182111701
   PubMed Web of Science ®Google Scholar
• Christie, N. (2021). Pandemic and recovery: What are the implications for road safety? Transport Reviews, 41(5), 529–532. https://doi.org/10.1080/01441647.2021.1920706
   Web of Science ®Google Scholar
• Cooper, P. J. (1997). The relationship between speeding behaviour (as measured by violation convictions) and crash involvement. Journal of Safety Research, 28(2), 83–95. https://doi.org/10.1016/S0022-4375(96)00040-0
   Web of Science ®Google Scholar
• Das, S., Le, M., Fitzpatrick, K., & Wu, D. (2022). Did operating speeds during COVID-19 result in more fatal and injury crashes on urban freeways? Transportation Research Record, https://doi.org/10.1177/03611981221109597
   Web of Science ®Google Scholar
• Das, S., & Sarkar, S. (2022). News media mining to explore speed-crash-traffic association during COVID-19. Transportation Research Record, https://doi.org/10.1177/03611981221121261
   Web of Science ®Google Scholar
• de Bellis, E., Schulte-Mecklenbeck, M., Brucks, W., Herrmann, A., & Hertwig, R. (2018). Blind haste: As light decreases, speeding increases. PLoS One, 13(1), e0188951. https://doi.org/10.1371/journal.pone.0188951
   PubMed Web of Science ®Google Scholar
• Dong, N., Zhang, J., Liu, X., Xu, P., Wu, Y., & Wu, H. (2022). Association of human mobility with road crashes for pandemic-ready safer mobility: A New York City case study. Accident Analysis & Prevention, 165, 106478. https://doi.org/10.1016/j.aap.2021.106478
   PubMed Web of Science ®Google Scholar
• Dong, X., Xie, K., & Yang, H. (2022). How did COVID-19 impact driving behaviors and crash Severity? A multigroup structural equation modeling. Accident Analysis & Prevention, 172, 106687. https://doi.org/10.1016/j.aap.2022.106687
   PubMed Web of Science ®Google Scholar
• Doucette, M. L., Tucker, A., Auguste, M. E., Watkins, A., Green, C., Pereira, F. E., Borrup, K. T., Shapiro, D., & Lapidus, G. (2021). Initial impact of COVID-19’s stay-at-home order on motor vehicle traffic and crash patterns in Connecticut: An interrupted time series analysis. Injury Prevention, 27(1), 3–9. https://doi.org/10.1136/injuryprev-2020-043945
   PubMed Web of Science ®Google Scholar
• Eluru, N., Chakour, V., Chamberlain, M., & Miranda-Moreno, L. F. (2013). Modeling vehicle operating speed on urban roads in Montreal: A panel mixed ordered probit fractional split model. Accident Analysis & Prevention, 59, 125–134. https://doi.org/10.1016/j.aap.2013.05.016
   PubMed Web of Science ®Google Scholar
• Elvik, Rune. (2005). Speed and Road Safety. Transportation Research Record: Journal of the Transportation Research Board, 1908(1), 59–69. http://doi.org/10.1177/0361198105190800108
   Google Scholar
• Garner, A. A., Epstein, J. N., Tamm, L., Simon, J. O., Fisher, D. L., Kiefer, A. W., & MacPherson, R. P. (2023). Predictors of risky driving among teen drivers with ADHD during U.S. COVID-19 shelter in place orders. Transportation Research Part F: Traffic Psychology and Behaviour, 93, 182–190. https://doi.org/10.1016/j.trf.2022.10.013
   Web of Science ®Google Scholar
• Gong, Y., Lu, P., & Yang, X. T. (2023). Impact of COVID-19 on traffic safety from the “Lockdown” to the “New Normal”: A case study of Utah. Accident Analysis & Prevention, 184, 106995. https://doi.org/10.1016/j.aap.2023.106995
   PubMed Web of Science ®Google Scholar
• Gouda, M., Fan, J., Luc, K., Ibrahim, S., & El-Basyouny, K. (2021). Effect of redesigning public shared space amid the COVID-19 pandemic on physical distancing and traffic safety. Journal of Transportation Engineering, Part A: Systems, 147(11), 04021077. https://doi.org/10.1061/JTEPBS.0000596
   Web of Science ®Google Scholar
• Gupta, M., Pawar, N. M., & Velaga, N. R. (2021). Impact of lockdown and change in mobility patterns on road fatalities during COVID-19 pandemic. Transportation Letters, 13(5-6), 447–460. https://doi.org/10.1080/19427867.2021.1892937
   Web of Science ®Google Scholar
• Hauer, E., Ahlin, F. J., & Bowser, J. S. (1982). Speed enforcement and speed choice. Accident Analysis & Prevention, 14(4), 267–278. https://doi.org/10.1016/0001-4575(82)90038-0
   Web of Science ®Google Scholar
• Heydari, S., Miranda-Moreno, L. F., & Fu, L. (2020). Is speeding more likely during weekend night hours? Evidence from sensor-collected data in Montreal. Canadian Journal of Civil Engineering, 47(9), 1046–1050. https://doi.org/10.1139/cjce-2019-0321
   Web of Science ®Google Scholar
• Inada, H., Ashraf, L., & Campbell, S. (2021). COVID-19 lockdown and fatal motor vehicle collisions due to speed-related traffic violations in Japan: A time-series study. Injury Prevention, 27(1), 98–100. https://doi.org/10.1136/injuryprev-2020-043947
   PubMed Web of Science ®Google Scholar
• Islam, M., Alogaili, A., Mannering, F., & Maness, M. (2023). Evidence of sample selectivity in highway injury-severity models: The case of risky driving during COVID-19. Analytic Methods in Accident Research, 38, 100263. https://doi.org/10.1016/j.amar.2022.100263
   Web of Science ®Google Scholar
• Islam, S., Huq, A. S., Iqra, S. H., & Tomal, R. S. (2023). Impacts of COVID-19 pandemic lockdown on road safety in Bangladesh. Sustainability, 15(3), 3. https://doi.org/10.3390/su15032675
   Web of Science ®Google Scholar
• Kapatsila, B., & Grise, E. (2021). Public transit riders’ perceptions and experience of safety: COVID-19 lessons from Edmonton. Findings. https://transportfindings.scholasticahq.com/article/19046-public-transit-riders-perceptions-and-experience-of-safety-covid-19-lessons-from-edmonton.pdf.
   Google Scholar
• Kapatsila, B., Grisé, E., Lierop, D., & Bahamonde-Birke, F. J. (2022). From riding to driving: The effects of the COVID-19 pandemic on public transit in metro Vancouver. Findings. https://transportfindings.scholasticahq.com/article/33884-from-riding-to-driving-the-effects-of-the-covid-19-pandemic-on-public-transit-in-metro-vancouver.pdf.
   Google Scholar
• Katrakazas, C., Michelaraki, E., Sekadakis, M., & Yannis, G. (2020). A descriptive analysis of the effect of the COVID-19 pandemic on driving behavior and road safety. Transportation Research Interdisciplinary Perspectives, 7, 100186. https://doi.org/10.1016/j.trip.2020.100186
   PubMedGoogle Scholar
• Katt, N. (2022). Perception of safety on transit during COVID-19: A case study of Berlin, Germany [M.U.E.P., Arizona State University]. https://www.proquest.com/docview/2669613115/abstract/57E29DE7833D41C1PQ/1.
   Google Scholar
• Kurte, K., Ravulaparthy, S., Berres, A., Allen, M., & Sanyal, J. (2019). Regional-scale spatio-temporal analysis of impacts of weather on traffic speed in Chicago using probe data. Procedia Computer Science, 155, 551–558. https://doi.org/10.1016/j.procs.2019.08.076
   Google Scholar
• Lin, L., Shi, F., & Li, W. (2021). Assessing inequality, irregularity, and severity regarding road traffic safety during COVID-19. Scientific Reports, 11(1), 1. https://doi.org/10.1038/s41598-021-91392-z
   PubMed Web of Science ®Google Scholar
• Mannering, F. L., & Washburn, S. S. (2020). Principles of highway engineering and traffic analysis. John Wiley & Sons.
   Google Scholar
• Marshall, E., Shirazi, M., Shahlaee, A., & Ivan, J. N. (2023). Leveraging probe data to model speeding on urban limited access highway segments: Examining the impact of operational performance, roadway characteristics, and COVID-19 pandemic. Accident Analysis & Prevention, 187, 107038. https://doi.org/10.1016/j.aap.2023.107038
   PubMed Web of Science ®Google Scholar
• Monfort, S. S., Cicchino, J. B., & Patton, D. (2021). Weekday bicycle traffic and crash rates during the COVID-19 pandemic. Journal of Transport & Health, 23, 101289. https://doi.org/10.1016/j.jth.2021.101289
   PubMed Web of Science ®Google Scholar
• National Center for Statistics and Analysis. (2022, Septem­ber). Early estimate of motor vehicle traffic fatalities for the first half (January–June) of 2022. Crash•Stats Brief Statis­tical Summary. Report No. DOT HS 813 376. National Highway Traffic Safety Administration.
   Google Scholar
• Ozbilen, B., Slagle, K. M., & Akar, G. (2021). Perceived risk of infection while traveling during the COVID-19 pandemic: Insights from Columbus, OH. Transportation Research Interdisciplinary Perspectives, 10, 100326. https://doi.org/10.1016/j.trip.2021.100326
   PubMedGoogle Scholar
• Paramasivan, K., & Sudarsanam, N. (2022). Impact of COVID-19 pandemic on road safety in Tamil Nadu, India. International Journal of Injury Control and Safety Promotion, 29(2), 265–277. https://doi.org/10.1080/17457300.2021.2007134
   PubMed Web of Science ®Google Scholar
• Pathak, A. A., Chandrasekaran, S., & Annamalai, B. (2022). Analysis of motor vehicle accidents: Comparison between before and during the COVID-19 lockdown in maharashtra, India. Transportation Research Record, 2677(4), 503–516. https://doi.org/10.1177/03611981221089936.
   PubMed Web of Science ®Google Scholar
• Patwary, A. L., & Khattak, A. J. (2023). Crash harm before and during the COVID-19 pandemic: Evidence for spatial heterogeneity in Tennessee. Accident Analysis & Prevention, 183, 106988. https://doi.org/10.1016/j.aap.2023.106988
   PubMed Web of Science ®Google Scholar
• Rapoport, M. J., Chee, J. N., Aljenabi, N., Byrne, P. A., Naglie, G., Ilari, F., Elzohairy, Y., Vingilis, E., & Mulsant, B. H. (2021). Impact of COVID-19 on motor vehicle injuries and fatalities in older adults in Ontario, Canada. Accident Analysis & Prevention, 157, 106195. https://doi.org/10.1016/j.aap.2021.106195
   PubMed Web of Science ®Google Scholar
• Redelmeier, D. A., & Zipursky, J. S. (2021). Pedestrian deaths during the COVID-19 pandemic. American Journal of Lifestyle Medicine, 17(2), 276–279. https://doi.org/10.1177/15598276211058378.
   PubMed Web of Science ®Google Scholar
• Rudisill, T. M. (2021). The association between a statewide stay-at-home order and motor vehicle injury rates among population sub-groups in West Virginia. Traffic Injury Prevention, 22(7), 501–506. https://doi.org/10.1080/15389588.2021.1960320
   PubMed Web of Science ®Google Scholar
• Saladié, Ò, Bustamante, E., & Gutiérrez, A. (2020). COVID-19 lockdown and reduction of traffic accidents in Tarragona province, Spain. Transportation Research Interdisciplinary Perspectives, 8, 100218. https://doi.org/10.1016/j.trip.2020.100218
   PubMedGoogle Scholar
• Salama, M. R., & McGarvey, R. G. (2022). Enhancing mass transit passenger safety during a pandemic via in-vehicle time minimization. Computers & Operations Research, 143, 105776. https://doi.org/10.1016/j.cor.2022.105776
   Web of Science ®Google Scholar
• Sedain, B., & Pant, P. R. (2021). Road traffic injuries in Nepal during COVID-19 lockdown. F1000Research, 9, 1209. https://doi.org/10.12688/f1000research.26281.3
   Google Scholar
• Sekadakis, M., Katrakazas, C., Michelaraki, E., Kehagia, F., & Yannis, G. (2021). Analysis of the impact of COVID-19 on collisions, fatalities and injuries using time series forecasting: The case of Greece. Accident Analysis & Prevention, 162, 106391. https://doi.org/10.1016/j.aap.2021.106391
   PubMed Web of Science ®Google Scholar
• Shahlaee, A., Shirazi, M., Marshall, E., & Ivan, J. N. (2022). Modelling the impact of the COVID-19 pandemic on speeding at rural roadway facilities in Maine using short-term speed and traffic count data. Accident Analysis & Prevention, 177, 106828. https://doi.org/10.1016/j.aap.2022.106828
   PubMed Web of Science ®Google Scholar
• Stavrinos, D., McManus, B., Mrug, S., He, H., Gresham, B., Albright, M. G., Svancara, A. M., Whittington, C., Underhill, A., & White, D. M. (2020). Adolescent driving behavior before and during restrictions related to COVID-19. Accident Analysis & Prevention, 144, 105686. https://doi.org/10.1016/j.aap.2020.105686
   PubMed Web of Science ®Google Scholar
• Stephens, Amanda N, Trawley, Steven, Ispanovic, Justin, Lowrie, Sophie, & Aghayan, Iman. (2022). Self-reported changes in aggressive driving within the past five years, and during COVID-19. PLOS ONE, 17(8), e0272422. http://doi.org/10.1371/journal.pone.0272422
   PubMed Web of Science ®Google Scholar
• Stewart, T. (2022, March). Overview of motor vehicle crashes in 2020. Report No. DOT HS 813 266. National Highway Traffic Safety Administration.
   Google Scholar
• Stiles, J., Kar, A., Lee, J., & Miller, H. J. (2021). Lower volumes, higher speeds: Changes to crash type, timing, and severity on urban roads from COVID-19 stay-at-home policies. Transportation Research Record, 2677(4), 15–17. https://doi.org/10.1177/03611981211044454.
   PubMed Web of Science ®Google Scholar
• Tucker, A., & Marsh, K. L. (2021). Speeding through the pandemic: Perceptual and psychological factors associated with speeding during the COVID-19 stay-at-home period. Accident Analysis & Prevention, 159, 106225. https://doi.org/10.1016/j.aap.2021.106225
   PubMed Web of Science ®Google Scholar
• Vandoros, S., & Papailias, F. (2021). Empty Streets, Speeding and Motor Vehicle Collisions during Covid-19 Lockdowns: Evidence from Northern Ireland. medRxiv, https://doi.org/10.1101/2021.01.03.21249173
   Google Scholar
• Vanlaar, W. G. M., Woods-Fry, H., Barrett, H., Lyon, C., Brown, S., Wicklund, C., & Robertson, R. D. (2021). The impact of COVID-19 on road safety in Canada and the United States. Accident Analysis & Prevention, 160, 106324. https://doi.org/10.1016/j.aap.2021.106324
   PubMed Web of Science ®Google Scholar
• Wang, J., & Cicchino, J. B. (2023). Changes in speeding on Virginia roads during the beginning of the COVID-19 pandemic. Traffic Injury Prevention, 24(1), 38–43. https://doi.org/10.1080/15389588.2022.2127322
   PubMed Web of Science ®Google Scholar
• Wang, J., Yang, X., Yu, S., Yuan, Q., Lian, Z., & Yang, Q. (2023). Road crash risk prediction during COVID-19 for flash crowd traffic prevention: The case of Los Angeles. Computer Communications, 198, 195–205. https://doi.org/10.1016/j.comcom.2022.12.002
   PubMed Web of Science ®Google Scholar
• Watson-Brown, N., Truelove, V., Parker, E., & Davey, J. (2021). Drink driving during the COVID-19 pandemic. Transportation Research Part F: Traffic Psychology and Behaviour, 78, 369–380. https://doi.org/10.1016/j.trf.2021.02.020
   PubMed Web of Science ®Google Scholar
• Wegman, F., & Katrakazas, C. (2021). Did the COVID-19 pandemic influence traffic fatalities in 2020? A presentation of first findings. IATSS Research, 45(4), 469–484. https://doi.org/10.1016/j.iatssr.2021.11.005
   Web of Science ®Google Scholar
• Yan, Xingpei, Zhu, Zheng, & Chen, Feng. (2021). Quantifying the impact of COVID-19 on e-bike safety in China via multi-output and clustering-based regression models. PLOS ONE, 16(8), e0256610. http://doi.org/10.1371/journal.pone.0256610
   PubMed Web of Science ®Google Scholar
• Yokoo, T., & Levinson, D. (2019). Measures of speeding from a GPS-based travel behavior survey. Traffic Injury Prevention, 20(2), 158–163. https://doi.org/10.1080/15389588.2018.1543873
   PubMed Web of Science ®Google Scholar