Các hành vi đánh đổi giữa hoạt động ảo và hoạt động thể chất trong giai đoạn đầu của đại dịch COVID-19
Tóm tắt
Làn sóng đầu tiên của đại dịch COVID-19 đã thay đổi một cách đáng kể cuộc sống của mọi người trên toàn thế giới. Để đối phó với sự gián đoạn này, các giải pháp kỹ thuật số đã trở nên phổ biến hơn. Tuy nhiên, khả năng áp dụng các giải pháp kỹ thuật số khác nhau giữa các nhóm xã hội - kinh tế và xã hội - nhân khẩu học.
Nghiên cứu này điều tra cách mà các cá nhân đã thay đổi mô hình di chuyển và sử dụng internet trong giai đoạn đầu của đại dịch COVID-19, và những thay đổi nào trong số đó có thể được duy trì.
Một cuộc thu thập dữ liệu thực nghiệm đã được triển khai thông qua các biểu mẫu trực tuyến. 781 phản hồi từ các quốc gia khác nhau (Ý, Thụy Điển, Ấn Độ và các quốc gia khác) đã được thu thập, và một loạt các phân tích đa biến đã được tiến hành. Hai mô hình hồi quy tuyến tính được trình bày, liên quan đến sự thay đổi hoạt động di chuyển và sử dụng internet, trước và trong giai đoạn đại dịch. Hơn nữa, một mô hình hồi quy nhị phân được sử dụng để xem xét khả năng của các người trả lời trong việc áp dụng và duy trì hành vi của họ vượt ra ngoài giai đoạn đại dịch.
Từ khóa
#COVID-19 #hành vi trực tuyến #mô hình hồi quy #thay đổi hành vi #chuyển đổi sốTài liệu tham khảo
Alexander, B., & Susilo, Y. O. (2014). Telecommuting and telecommunications. In M. Garrett (Ed.), Encyclopedia of transportation: Social science and policy, (vol. 1, pp. 1320–1322). Thousand Oaks, CA: SAGE Publications https://sk.sagepub.com/reference/encyclopedia-of-transportation/n462.xml.
Amekudzi-Kennedy, A., Labi, S., Woodall, B., Chester, M., & Singh, P. (2020). Reflections on Pandemics, Civil Infrastructure and Sustainable Development: Five Lessons from COVID-19 through the Lens of Transportation [Preprint]. Engineering. https://doi.org/10.20944/preprints202004.0047.v1.
Betti, I. (2020). Coronavirus impone maxi-test mondiale sullo smart working. In De Masi: ‘In Italia c’è una resistenza patologica’ https://www.huffingtonpost.it/entry/coronavirus-impone-maxi-test-mondiale-sullo-smart-working-de-masi-in-italia-ce-una-resistenza-patologica_it_5e440ac7c5b61b84d3433541.
Brezina, T., & Sandholzer, F. (2020). Mobilität in Zeiten von COVID-19 – Ergebnisse einer weltweiten Erhebung. In Presentation (invited) at the Expertenworkshop ‘Die Zukunft des öffentlichen Verkehrs in Zeiten der Krise’, Online, hosted by FH Erfurt/D.
Bucsky, P. (2020). Modal share changes due to COVID-19: The case of Budapest. Transportation Research Interdisciplinary Perspectives, 100141. https://doi.org/10.1016/j.trip.2020.100141.
Chakravorti, B., & Chaturvedi, R. S. (2020). Which Countries Were (And Weren’t) Ready for Remote Work? https://hbr.org/2020/04/which-countries-were-and-werent-ready-for-remote-work
Chan, H. F., Moon, J. W., Savage, D. A., Skali, A., Torgler, B., & Whyte, S. (2020). Can psychological traits explain mobility behavior during the COVID-19 pandemic? [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/5q3jv.
Chinazzi, M., Davis, J. T., Ajelli, M., Gioannini, C., Litvinova, M., Merler, S., … Vespignani, A. (2020). The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak. Science, eaba9757. https://doi.org/10.1126/science.aba9757.
Circella, G., & Mokhtarian, P. L. (2017). Impacts of information and communication technology. In G. Giuliano, & S. Hanson (Eds.), The Geography of Urban Transportation, Fourth Edition. New York: Guilford Publications.
Dahlberg, M., Edin, P.-A., Grönqvist, E., Lyhagen, J., Östh, J., Siretskiy, A., & Toger, M. (2020). Effects of the COVID-19 Pandemic on Population Mobility under Mild Policies: Causal Evidence from Sweden, (p. 32).
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.
Dunford, D., Dale, B., Stylianou, N., Lowther, E., Ahmed, M., & de la Torre Arenas, I. (2020). The world in lockdown in maps and charts. Retrieved December 01, 2020, from BBC News https://www.bbc.com/news/world-52103747.
Emberger, G. (2020). Mobilitätserhebung COVID-19. In Presentation (invited) at the ‘Covid-19 ExpertInnenrunde #5: Impact on our mobility’, online, hosted by TU the TOP alumni club.
Eurostat. (2019). Employed persons working from home as a percentage of the total employment, by sex, age and professional status. https://appsso.eurostat.ec.europa.eu/nui/submitViewTableAction.do
Falchetta, G., & Noussan, M. (2020). The impact of COVID-19 on transport demand, modal choices, and Sectoral energy consumption in Europe.
Gao, S., Rao, J., Kang, Y., Liang, Y., & Kruse, J. (2020). Mapeping county-level mobility pattern changes in the United States in response to COVID- 19. ArXiv, 2004.04544 [Physics, q-Bio]. Retrieved December 01, 2020, from http://arxiv.org/abs/2004.04544.
Gössling, S. (2018). ICT and transport behavior: A conceptual review. International Journal of Sustainable Transportation, 12(3), 153–164. https://doi.org/10.1080/15568318.2017.1338318.
Hjorthol, R., & Åse, N. (2008). Teleworking: A reduction in travel or just increased flexibility? The Journal of E-Working, 2(1):81- 94. 14p. 6 Charts.
Hook, A., Court, V., Sovacool, B., & Sorrell, S. (2020). A systematic review of the energy and climate impacts of teleworking. Environmental Research Letters. https://doi.org/10.1088/1748-9326/ab8a84.
Iacus, S. M., Natale, F., Santamaria, C., Spyratos, S., & Vespe, M. (2020). Estimating and projecting air passenger traffic during the COVID-19 coronavirus outbreak and its socio-economic impact. Safety Science, 129, 104791. https://doi.org/10.1016/j.ssci.2020.104791.
Jay, J., Bor, J., Nsoesie, E., Lipson, S. K., Jones, D. K., Galea, S., & Raifman, J. (2020). Neighborhood income and physical distancing during the COVID-19 pandemic in the U.S. [Preprint]. Infectious Diseases (except HIV/AIDS). https://doi.org/10.1101/2020.06.25.20139915.
Kavanagh, N. M., Goel, R. R., & Venkataramani, A. S. (2020). Association of County-Level Socioeconomic and Political Characteristics with Engagement in Social Distancing for COVID-19 [Preprint]. Health Policy. https://doi.org/10.1101/2020.04.06.20055632.
Koenig, B. E., Henderson, D. K., & Mokhtarian, P. L. (1996). The travel and emissions impacts of telecommuting for the state of California telecommuting pilot project. Transportation Research Part C: Emerging Technologies, 4(1), 13–32. https://doi.org/10.1016/0968-090X(95)00020-J.
Kraemer, M. U. G., Yang, C.-H., Gutierrez, B., Wu, C.-H., Klein, B., Pigott, D. M., et al. (2020). The effect of human mobility and control measures on the COVID-19 epidemic in China. Science, 368(6490), 493–497. https://doi.org/10.1126/science.abb4218.
Layer, R. M., Fosdick, B., Larremore, D. B., Bradshaw, M., & Doherty, P. (2020). Case Study: Using Facebook Data to Monitor Adherence to Stay-at-home Orders in Colorado and Utah [Preprint]. Public and Global Health. https://doi.org/10.1101/2020.06.04.20122093.
Liu, C., Wang, Q., & Susilo, Y. O. (2019). Assessing the impacts of collection-delivery points to individual’s activity-travel patterns: A greener last mile alternative? Transportation Research Part E: Logistics and Transportation Review, 121, 84–99. https://doi.org/10.1016/j.tre.2017.08.007.
Lund, J., & Mokhtarian, P. (1994). Telecommuting and residential location: Theory and implications for commute travel in monocentric metropolis, (pp. 10–14).
Malik, A. A., Couzens, C., & Omer, S. B. (2020). COVID-19 related social distancing measures and reduction in city mobility [Preprint]. Epidemiology. https://doi.org/10.1101/2020.03.30.20048090.
Ministero del Lavoro e delle Politiche Sociali. (2020). Smart working, le novità del Decreto Rilancio. https://www.lavoro.gov.it/notizie/Pagine/Smart-working-le-novita-del-Decreto-Rilancio.aspx
Moeckel, R. (2017). Modeling the impact of communications technologies on travel behavior and land use. Transportation Research Record, 2658(1), 8–16 https://doi.org/10.3141/2658-02.
Mokhtarian, P. (1991). Defining telecommuting. In Institute of Transportation Studies, UC Davis, Institute of Transportation Studies, Working Paper Series, (p. 1305).
Mokhtarian, P. L. (1990). A typology of relationships between telecommunications and transportation. Transportation Research Part A: General, 24(3), 231–242. https://doi.org/10.1016/0191-2607(90)90060-J.
Musselwhite, C., Avineri, E., & Susilo, Y. (2020). Editorial JTH 16 –the coronavirus disease COVID-19 and implications for transport and health. Journal of Transport and Health, 16, 100853. https://doi.org/10.1016/j.jth.2020.100853.
Nielsen, B. F., Sneppen, K., Simonsen, L., & Mathiesen, J. (2020). Heterogeneity is essential for contact tracing [Preprint]. Epidemiology. https://doi.org/10.1101/2020.06.05.20123141.
Nilles, J. M. (1976). Telecommunications-transportation tradeoff: Options for tomorrow. Hoboken: Wiley.
O’Keefe, P., Caulfield, B., Brazil, W., & White, P. (2016). The impacts of telecommuting in Dublin. Research in Transportation Economics, 57, 13–20. https://doi.org/10.1016/j.retrec.2016.06.010.
Pendyala, R., Goulias, K., & Kitamura, R. (1991). Impact of telecommuting on spatial and temporal patterns of household travel. Transportation, 18, 383–409. https://doi.org/10.1007/BF00186566.
Pepe, E., Bajardi, P., Gauvin, L., Privitera, F., Lake, B., Cattuto, C., & Tizzoni, M. (2020). COVID-19 outbreak response: A first assessment of mobility changes in Italy following national lockdown [Preprint]. Infectious Diseases (except HIV/AIDS). https://doi.org/10.1101/2020.03.22.20039933.
Quilty, B. J., Diamond, C., Liu, Y., Gibbs, H., Russell, T. W., Jarvis, C. I., … Jit, M. (2020). The effect of inter-city travel restrictions on geographical spread of COVID-19: Evidence from Wuhan, China [Preprint]. Epidemiology. https://doi.org/10.1101/2020.04.16.20067504.
Sabat, I., Neuman-Böhme, S., Varghese, N. E., Barros, P. P., Brouwer, W., van Exel, J., … Stargardt, T. (2020). United but divided: Policy responses and people’s perceptions in the EU during the COVID-19 outbreak. Health Policy, S0168851020301639. https://doi.org/10.1016/j.healthpol.2020.06.009.
Saha, J., Barman, B., & Chouhan, P. (2020). Lockdown for COVID-19 and its impact on community mobility in India: An analysis of the COVID-19 community mobility reports, 2020. Children and Youth Services Review, 116, 105160. https://doi.org/10.1016/j.childyouth.2020.105160.
Salomon, I. (1986). Telecommunications and travel relationships: A review. Transportation Research Part A: General, 20(3), 223–238. https://doi.org/10.1016/0191-2607(86)90096-8.
Sharma, S., Zhang, M., Anshika, Gao, J., Zhang, H., & Kota, S. H. (2020). Effect of restricted emissions during COVID-19 on air quality in India. Science of The Total Environment, 728, 138878. https://doi.org/10.1016/j.scitotenv.2020.138878.
Shen, L., He, Y., Li, L., & Chau, K. (2020). Impacts of online shopping convenience and physical retail proximity on housing prices in Shenzhen, 2016–2018. Journal of Housing and the Built Environment. https://doi.org/10.1007/s10901-020-09732-w.
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, 21–33. https://doi.org/10.1016/j.tra.2019.01.027.
Smidfelt Rosqvist, L., & Winslott Hiselius, L. (2016). Online shopping habits and the potential for reductions in carbon dioxide emissions from passenger transport. Journal of Cleaner Production, 131, 163–169. https://doi.org/10.1016/j.jclepro.2016.05.054.
Stough, R. R., & Paelinck, J. (1997). Substitution and complementary effects of information on regional travel and location behavior. In Summary, recommendations, and compendium of papers. Williamsburg: Urban Design, Telecommunication and Travel Forecasting Conference.
Suel, E., & Polak, J. W. (2018). Incorporating online shopping into travel demand modelling: Challenges, progress, and opportunities. Transport Reviews, 38(5), 576–601. https://doi.org/10.1080/01441647.2017.1381864.
Susilo, Y. O., Liu, C., & Börjesson, M. (2019). The changes of activity-travel participation across gender, life-cycle, and generations in Sweden over 30 years. Transportation, 46(3), 793–818. https://doi.org/10.1007/s11116-018-9868-5.
Susilo, Y. O., & Maat, K. (2007). The influence of built environment to the trends in commuting journeys in the Netherlands. Transportation, 34(5), 589–609. https://doi.org/10.1007/s11116-007-9129-5.
Tirachini, A., & Cats, O. (2020). COVID-19 and public transportation: Current assessment, prospects, and research needs. Journal of Public Transportation, 22(1). https://doi.org/10.5038/2375-0901.22.1.1.
Warren, M. S., & Skillman, S. W. (2020). Mobility changes in response to COVID-19. Retrieved December 01, 2020, from ArXiv, 2003.14228 [Cs] http://arxiv.org/abs/2003.14228.