Mapping travel behavior changes during the COVID-19 lock-down: a socioeconomic analysis in Greece

European Transport Research Review - Tập 13 - Trang 1-19 - 2021
Ioannis Politis1, Georgios Georgiadis1, Anastasia Nikolaidou1, Aristomenis Kopsacheilis1, Ioannis Fyrogenis1, Alexandros Sdoukopoulos1, Eleni Verani1, Efthymis Papadopoulos1
1Transport Engineering Laboratory, Department of Civil Engineering, Faculty of Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece

Tóm tắt

COVID-19 pandemic is a challenge that the world had never encountered in the last 100 years. In order to mitigate its negative effects, governments worldwide took action by prohibiting at first certain activities and in some cases by a countrywide lockdown. Greece was among the countries that were struck by the pandemic. Governmental authorities took action in limiting the spread of the pandemic through a series of countermeasures, which built up to a countrywide lockdown that lasted 42 days. This research aims at identifying the effect of certain socioeconomic factors on the travel behaviour of Greek citizens and at investigating whether any social groups were comparatively less privileged or suffered more from the lockdown. To this end, a dynamic online questionnaire survey on mobility characteristics was designed and distributed to Greek citizens during the lockdown period, which resulted in 1,259 valid responses. Collected data were analysed through descriptive and inferential statistical tests, in order to identify mobility patterns and correlations with certain socioeconomic characteristics. Additionally, a Generalised Linear Model (GLM) was developed in order to examine the potential influence of socioeconomic characteristics to trip frequency before and during the lockdown period. Outcomes indicate a decisive decrease in trip frequencies due to the lockdown. Furthermore, the model’s results indicate significant correlations between gender, income and trip frequencies during the lockdown, something that is not evident in the pre-pandemic era.

Tài liệu tham khảo

Abdullah, M., Dias, C., Muley, D., & Shahin, M. (2020). Exploring the impacts of COVID-19 on travel behavior and mode preferences. Transportation Research Interdisciplinary Perspectives, 8, 100255. https://doi.org/10.1016/j.trip.2020.100255. Anderson, R. M., Heesterbeek, H., Klinkenberg, D., & Hollingsworth, T. D. (2020). How will country-based mitigation measures influence the course of the COVID-19 epidemic? Lancet, 395(10228). https://doi.org/10.1016/S0140-6736(20)30567-5. Apple (2020). COVID-19 – Mobility trends reports https://covid19.apple.com/mobility. Beck, M. J., & Hensher, D. A. (2020). Insights into the impact of COVID-19 on household travel and activities in Australia – The early days of easing restrictions. Transport Policy, 99, 95–119. https://doi.org/10.1016/j.tranpol.2020.08.004. Bucsky, P. (2020). Modal share changes due to COVID-19: The case of Budapest. Transportation Research Interdisciplinary Perspectives, 8, 100141. https://doi.org/10.1016/j.trip.2020.100141. Carrington, D. (2020). UK road travel falls to 1955 levels as Covid-19 lockdown takes hold. The Guardian. Chryssogelos, A., & Oxenford, M. (2018). Greek bailout: IMF and Europeans diverge on lessons learnt | Chatham house – International affairs think tank https://www.chathamhouse.org/2018/08/greek-bailout-imf-and-europeans-diverge-lessons-learnt#. CIVITAS (2020). Smart choices for cities, gender equality and mobility: Mind the gap! Collignon, S. (2020). Women more worried than men about the spread of coronavirus https://theconversation.com/women-more-worried-than-men-about-the-spread-of-coronavirus-136580. Daoust, J. F. (2020). Elderly people and responses to COVID-19 in 27 countries. PLoS One, 15(7). https://doi.org/10.1371/journal.pone.0235590. De Vos, J. (2020). The effect of COVID-19 and subsequent social distancing on travel behavior. Transportation Research Interdisciplinary Perspectives, 5, 100121. https://doi.org/10.1016/j.trip.2020.100121. Di Domenico, L., Pullano, G., Sabbatini, C. E., Boëlle, P.-Y., & Colizza, V. (2020). Expected impact of lockdown in Île-de-France and possible exit strategies. MedRxiv. Eurostat. (2018) Internet access and use statistics - households and individuals Retrieved December 18, 2020, from https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Archive:Internet_access_and_use_statistics_-_households_and_individuals&direction=next&oldid=386342. Eurostat (2019). Population structure and ageing - statistics explained https://ec.europa.eu/eurostat/statistics-explained/index.php/Population_structure_and_ageing. Eurostat (2020). Population change - demographic balance and crude rates at national level https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=demo_gind&lang=en. Fahmi, I. (2020). World Health Organization coronavirus disease 2019 (Covid-19) situation report. DroneEmprit, 2019(March). Glusac, E. (2020). How will coronavirus affect future travel behavior? A Travel Crisis Expert Explains. The New York Times. Goldbaum, C. (2020). Subway Service Is Cut by a Quarter Because of Coronavirus. The New York Times. Guse, C. (2020). NYC subway ridership hits highest point since March as New Yorkers adjust to coronavirus pandemic | News Break. https://www.newsbreak.com/new-york/new-york/news/1569844295066/nyc-subway-ridership-hits-highest-point-since-march-as-new-yorkers-adjust-to-coronavirus-pandemic Hellenic Statistical Authority. (2020). Development of business operations due to COVID-19. Hotle, S., Murray-Tuite, P., & Singh, K. (2020). Influenza risk perception and travel-related health protection behavior in the US: Insights for the aftermath of the COVID-19 outbreak. Transportation Research Interdisciplinary Perspectives, 5. https://doi.org/10.1016/j.trip.2020.100127. IBM. (2020). SPSS Software. https://www.ibm.com/analytics/spss-statistics-software International Labour Organization. (2020). As job losses escalate, nearly half of global workforce at risk of losing livelihoods. http://www.ilo.org/global/about-the-ilo/newsroom/news/WCMS_743036/lang%2D%2Den/index.htm Ioannou, C. A. (2020). Telework in Greece during the Covid-19 pandemic: A preliminary review of evidence. Jiang, S., Du, L., & Shi, Z. (2020). An emerging coronavirus causing pneumonia outbreak in Wuhan, China: Calling for developing therapeutic and prophylactic strategies. Emerging Microbes and Infections, 9(1). https://doi.org/10.1080/22221751.2020.1723441. Kloof Van Der, A., & Kensmil, J. (2020). Effects of COVID-19 measures on mobility of men and women. https://www.google. Lian, J.-W., & Yen, D. C. (2014). Online shopping drivers and barriers for older adults: Age and gender differences. Computers in Human Behavior, 37, 133–143. https://doi.org/10.1016/j.chb.2014.04.028. Major, E. L., & Machin, S. (2020). Covid-19 and social mobility Covid-19 and social mobility CEP covid-19 analysis. Matheson, J., Nathan, M., Pickard, H., & Vanino, E. (2020). Why has coronavirus affected cities more than rural areas? | Economics Observatory. https://www.coronavirusandtheeconomy.com/question/why-has-coronavirus-affected-cities-more-rural-areas Mogaji, E. (2020). Impact of COVID-19 on transportation in Lagos, Nigeria. Transportation Research Interdisciplinary Perspectives, 6, 100154. https://doi.org/10.1016/j.trip.2020.100154. Nelder, J. A., & Wedderburn, R. W. M. (1972). Generalized linear models (review). Source: Journal of the Royal Statistical Society Series A (General), 135(3), 370-384. OECD. (2020a). Forthcoming OECD policy brief: Women at the core of the fight against COVID-19. 1–30. OECD (2020b). Re-spacing our cities for resilience. Papa, E., & Badstuber, N. (2020). Cars: transition from lockdown is a fork in the road-here are two possible outcomes for future travel. https://phys.org/news/2020-06-cars- Plan International (2020). How will COVID-19 affect girls and young women? Plumer, B., & Popovich, N. (2020). Traffic and pollution plummet as U.S. cities shut down for coronavirus - the New York times. https://www.nytimes.com/interactive/2020/03/22/climate/coronavirus-usa-traffic.html Pucher, J., & Dijkstra, L. (2003). Promoting safe walking and cycling to improve public health: Lessons from the Netherlands and Germany. American Journal of Public Health, 93(9), 1509–1516. https://doi.org/10.2105/AJPH.93.9.1509. Pullano, G., Valdano, E., Scarpa, N., Rubrichi, S., & Colizza, V. (2020). Evaluating the impact of demographic, socioeconomic factors, and risk aversion on mobility during COVID-19 epidemic in France under lockdown: A population-based study. https://doi.org/10.1101/2020.05.29.20097097. Queisser, M., Adema, W., & Clarke, C. (2020). COVID-19, employment and women in OECD countries. VOX, CEPR Policy Portal (https://Voxeu.Org). Ruiz-Euler, A., Privitera, F., Giuffrida, D., & Zara, I. (2020). Mobility patterns and income distribution in times of crisis. SSRN Electronic Journal. Sahagun, L. (2020). Coronavirus stay-at-home orders reduced traffic accidents by half. Los Angeles Times. Saphores, J.-D., & Xu, L. (2020). E-shopping changes and the state of E-grocery shopping in the US - evidence from national travel and time use surveys. Research in Transportation Economics, 100864. https://doi.org/10.1016/j.retrec.2020.100864. Schuman, R. (2020). INRIX U.S. National Traffic Volume Synopsis: Issue #6 (April 18–24, 2020) - INRIX. https://inrix.com/blog/2020/04/covid19-us-traffic-volume-synopsis-6/ Schwartz, S. (2020). Global Mobility Response to COVID-19 How cities are responding, recovering, and reopening transportation systems around the world. www.samschwartz.com/ Shi, K., De Vos, J., Yang, Y., & Witlox, F. (2019). Does e-shopping replace shopping trips? Empirical evidence from Chengdu, China. Transportation Research Part A: Policy and Practice, 122. https://doi.org/10.1016/j.tra.2019.01.027 Does e-shopping replace shopping trips? Empirical evidence from Chengdu, China. Transformative Urban Mobility Initiative (TUMI) (2020). Focusing on women during epidemics. Troko, J., Myles, P., Gibson, J., Hashim, A., Enstone, J., Kingdon, S., … Van-Tam, J. N. (2011). Is public transport a risk factor for acute respiratory infection? BMC Infectious Diseases, 11(1). https://doi.org/10.1186/1471-2334-11-16. United Nations Entity for Gender Equality and the Empowerment of Women. (2020). COVID-19 and Ensuring Safe Cities and Safe Public Spaces for Women and Girls. https://www150.statcan.gc.ca/n1/daily-quotidien/191205/dq191205b-eng.htm Washington, S. P., Karlaftis, M. G., & Mannering, F. L. (2010). Statistical and econometric methods for transportation data analysis, second edition. In Statistical and econometric methods for transportation data analysis, second edition. https://doi.org/10.1201/9781420082869. Wilder-Smith, A., & Freedman, D. O. (2020). Isolation, quarantine, social distancing and community containment: Pivotal role for old-style public health measures in the novel coronavirus (2019-nCoV) outbreak. Journal of Travel Medicine, 27(2). https://doi.org/10.1093/jtm/taaa020. World Health Organization (2016). Ambient air pollution: A global assessment of exposure and burden of disease. Worldometer. (2020). Coronavirus Cases: Statistics and Charts - Worldometer. https://www.worldometers.info/coronavirus/coronavirus-cases/