Volume 13 Issue 1
Mar.  2022
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Lijiao Yang, Caiyun Wei, Xinyu Jiang, Qian Ye, Hirokazu Tatano. Estimating the Economic Effects of the Early Covid-19 Emergency Response in Cities Using Intracity Travel Intensity Data[J]. International Journal of Disaster Risk Science, 2022, 13(1): 125-138. doi: 10.1007/s13753-022-00393-7
Citation: Lijiao Yang, Caiyun Wei, Xinyu Jiang, Qian Ye, Hirokazu Tatano. Estimating the Economic Effects of the Early Covid-19 Emergency Response in Cities Using Intracity Travel Intensity Data[J]. International Journal of Disaster Risk Science, 2022, 13(1): 125-138. doi: 10.1007/s13753-022-00393-7

Estimating the Economic Effects of the Early Covid-19 Emergency Response in Cities Using Intracity Travel Intensity Data

doi: 10.1007/s13753-022-00393-7
Funds:

This study was supported by the National Natural Science Foundation of China[Grant Number 41807504, 41907393]

and Fundamental Research Funds for Central Universities[WUT2020IVB023], China.

  • Available Online: 2022-03-04
  • In the early days of the Covid-19 pandemic, China implemented the most stringent and serious emergency response. To understand the effect of such an emergency response strategy on the economic system, this study proposed a simultaneous overall estimation method using intracity travel intensity data. The overall effect is represented by the difference between intracity travel intensity with and without the emergency response. Using historical data and time series analysis, we compared intracity travel intensity post China's implementation of the emergency response with predicted intracity travel intensity without such a response. The loss rates, defined by the proportion of intracity travel intensity loss, were calculated for 360 cities within 33 provincial-level regions in China based on data availability. We found that 30 days after the emergency response, 21% of the cities saw over 80% recovery and 10% of the cities showed more than 90% recovery; 45 days after the emergency response, more than 83% of the 360 cities witnessed 80% recovery. The correlation between gross domestic production loss rate and travel intensity loss rate was studied quantitatively to demonstrate the representativeness of the intracity travel intensity loss rate. This indicator was also used to analyze the spatial and temporal patterns of the effects on the economy. The results of this study can help us understand the economic effects caused by the early Covid-19 emergency response and the method can be a reference for fast and real-time economic loss estimation to support emergency response decision making under pandemic conditions.
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  • Bao, J., Y. Zhao, W. Zeng, and X. Shi. 2021. Exploring the spatial impacts of human activities on urban traffic crashes using multisource big data. Journal of Transport Geography 94:Article 103118.
    Bengtsson, L., J. Gaudart, X. Lu, S. Moore, E. Wetter, K. Sallah, S. Rebaudet, and R. Piarroux. 2015. Using mobile phone data to predict the spatial spread of cholera. Scientific Reports 5(1):1-5.
    Bodas, M., and K. Peleg. 2020. Self-isolation compliance in the covid-19 era influenced by compensation:Findings from a recent survey in Israel. Health Affairs 39(6):936-941.
    Borkowski, P., M. Jazd_zewska-Gutta, and A. Szmelter-Jarosz. 2021. Lockdowned:Everyday mobility changes in response to COVID-19. Journal of Transport Geography 90:Article 102906.
    Cartenì, A., L. Di Francesco, and M. Martino. 2020. How mobility habits influenced the spread of the COVID-19 pandemic:Results from the Italian case study. Science of The Total Environment 741:Article 140489.
    Chakraborty, I., and P. Maity. 2020. COVID-19 outbreak:Migration, effects on society, global environment and prevention. Science of The Total Environment 728:Article 138882.
    Chang, H.H, B. Lee, F.A. Yang, and Y.Y. Liou. 2021. Does COVID-19 affect metro use in Taipei?Journal of Transport Geography 91:Article 102954.
    Chao, H., Y. Cao, J. Zhang, F. Xia, Y. Zhou, and H. Shan. 2018. Population density-based hospital recommendation with mobile LBS big data. In Proceedings of 2018 IEEE International Conference on Big Data and Smart Computing (BigComp), 15-17 January 2018, Shanghai, China, 37-44.
    Chinazzi, M., J.T. Davis, M. Ajelli, C. Gioannini, M. Litvinova, S. Merler, A.P.Y. Piontti, and K. Mu et al. 2020. The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak. Science 368(6489):395-400.
    Cowie, C.T., D. Ding, M.I. Rolfe, D.J. Mayne, B. Jalaludin, A. Bauman, and G.G. Morgan. 2016. Neighbourhood walkability, road density and socio-economic status in Sydney, Australia. Environmental Health 15(1):1-12.
    Craig, A.T., C.A. Joshua, A.R. Sio, B. Teobasi, A. Dofai, T. Dalipanda, K. Hardie, J. Kaldor, and A. Kolbe. 2018. Enhanced surveillance during a public health emergency in a resourcelimited setting:Experience from a large dengue outbreak in Solomon Islands, 2016-17. PloS One 13(6):Article e0198487.
    Cui, Q., L. He, Y. Liu, Y. Zheng, W. Wei, B. Yang, and M. Zhou. 2021. The impacts of COVID-19 pandemic on China's transport sectors based on the CGE model coupled with a decomposition analysis approach. Transport Policy 103:103-115.
    De Haas, H. 2010. Migration and development:A theoretical perspective. International Migration Review 44(1):227-264.
    De Vos, J. 2020. The effect of COVID-19 and subsequent social distancing on travel behavior. Transportation Research Interdisciplinary Perspectives 5:Article 100121.
    del Rio-Chanona, R.M., P. Mealy, A. Pichler, F. Lafond, and J.D. Farmer. 2020. Supply and demand shocks in the COVID-19 pandemic:An industry and occupation perspective. Oxford Review of Economic Policy 36(Supplement):S94-S137.
    Drew, D.A., L.H. Nguyen, C.J. Steves, C. Menni, M. Freydin, T. Varsavsky, C.H. Sudre, and M.J. Cardoso et al. 2020. Rapid implementation of mobile technology for real-time epidemiology of COVID-19. Science 368(6497):1362-1367.
    Erkhembayar, R., E. Dickinson, D. Badarch, I. Narula, D. Warburton, G. Neil Thomas, C. Ochir, and S. Manaseki-Holland. 2020. Early policy actions and emergency response to the COVID-19 pandemic in Mongolia:Experiences and challenges. The Lancet Global Health 8(9):e1234-e1241.
    Fernandes, N. 2020. Economic effects of coronavirus outbreak (COVID-19) on the world economy. IESE (Instituto de Estudios Superiores de la Empresa),Business School working paper No.WP-1240-E. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3557504. Accessed 10 Jan 2022.
    Gao, S., J. Rao, Y. Kang, Y. Liang, J. Kruse, D. Dopfer, A.K. Sethi, and J.F.M. Reyes et al. 2020. Association of mobile phone location data indications of travel and stay-at-home mandates with COVID-19 infection rates in the US. JAMA Network Open 3(9):e2020485-e2020485.
    Goode, E.J., E. Thomas, O. Landeg, R. Duarte-Davidson, L. Hall, J. Roelofs, S. Schulpen, and A. De Bruin et al. 2021. Development of a rapid risk and impact assessment tool to enhance response to environmental emergencies in the early stages of a disaster:A tool developed by the European Multiple Environmental Threats Emergency NETwork (EMETNET) Project. International Journal of Disaster Risk Science 12(4):528-539.
    Grantz, K.H., H.R. Meredith, D.A.T. Cummings, C.J.E. Metcalf, B.T. Grenfell, J.R. Giles, S. Mehta, S. Solomon, et al. 2020. The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology. Nature Communications 11(1):Article 4961.
    Grasselli, G., A. Pesenti, and M. Cecconi. 2020. Critical care utilization for the COVID-19 outbreak in Lombardy, Italy:Early experience and forecast during an emergency response. Jama 323(16):1545-1546.
    Guo, Y., C. Cheng, Y. Zeng, Y. Li, M. Zhu, W. Yang, H. Xu, X. Li, et al. 2020. Mental health disorders and associated risk factors in quarantined adults during the COVID-19 outbreak in China:Cross-sectional study. Journal of Medical Internet Research 22(8):Article e20328.
    Han, C., Y. Liu, J. Tang, Y. Zhu, C. Jaeger, and S. Yang. 2020. Lessons from the Mainland of China's epidemic experience in the first phase about the growth rules of infected and recovered cases of COVID-19 worldwide. International Journal of Disaster Risk Science 11(4):497-507.
    Huang, L., R. Xie, and G. Yang. 2022. The impact of lockdown on air pollution:Evidence from an instrument. China Economic Review 71:Article 101731.
    Kendall, M., and A. Stuart. 1983. The advanced theory of statistics. London:Griffin.
    Kim, J., and M.-P. Kwan. 2021. The impact of the COVID-19 pandemic on people's mobility:A longitudinal study of the US from March to September of 2020. Journal of Transport Geography 93:Article 103039.
    Lawal, O., and C. Nwegbu. 2020. Movement and risk perception:Evidence from spatial analysis of mobile phone-based mobility during the COVID-19 lockdown. Nigeria. GeoJournal.. https://doi.org/10.1007/s10708-020-10331-z.
    Li, J., Q. Ye, X. Deng, Y. Liu, and Y. Liu. 2016. Spatial-temporal analysis on spring festival travel rush in China based on multisource big data. Sustainability 8(11):Article 1184.
    Liu, H., C. Fang, and Q. Gao. 2020. Evaluating the real-time impact of COVID-19 on cities:China as a case study. Complexity 2020:Article 8855521.
    Liu, W., X.G. Yue, and P.B. Tchounwou. 2020. Response to the COVID-19 epidemic:The Chinese experience and implications for other countries. International Journal of Environmental Research and Public Health 17(7):Article 2304.
    Maier, B.F., and D. Brockmann. 2020. Effective containment explains subexponential growth in recent confirmed COVID-19 cases in China. Science 368(6492):742-746.
    Maliszewska, M., A. Mattoo, and D. van der Mensbrugghe. 2020. The potential impact of COVID-19 on GDP and trade:A preliminary assessment. World Bank policy research working paper No. 9211. Washington, DC:World Bank.
    Ming, W., Z. Zhou, H. Ai, H. Bi, and Y. Zhong. 2020. COVID-19 and air quality:Evidence from China. Emerging Markets Finance and Trade 56(10):2422-2442.
    Muniz-Rodriguez, K., G. Chowell, C.H. Cheung, D. Jia, P.Y. Lai, Y. Lee, M. Liu, and S.K. Ofori et al. 2020. Doubling time of the COVID-19 epidemic by province, China. Emerging Infectious Diseases 26(8):1912-1914.
    Nicola, M., Z. Alsafi, C. Sohrabi, A. Kerwan, A. Al-Jabir, C. Iosifidis, M. Agha, and R. Agha. 2020. The socio-economic implications of the coronavirus pandemic (COVID-19):A review. International Journal of Surgery 78:185-193.
    Ning, J., Y. Chu, X. Liu, D. Zhang, J. Zhang, W. Li, and H. Zhang. 2021. Spatio-temporal characteristics and control strategies in the early period of COVID-19 spread:A case study of the mainland China. Environmental Science and Pollution Research 28(35):48298-48311.
    Ozili, P. 2020. COVID-19 in Africa:Socio-economic impact, policy response and opportunities. International Journal of Sociology and Social Policy. https://doi.org/10.1108/IJSSP-05-2020-0171.
    Pak, A., O.A. Adegboye, A.I. Adekunle, K.M. Rahman, E.S. McBryde, and D.P. Eisen. 2020. Economic consequences of the COVID-19 outbreak:The need for epidemic preparedness. Frontiers in Public Health 8:Article 241.
    Peak, C.M., A. Wesolowski, E. zu Erbach-Schoenberg, A.J. Tatem, E. Wetter, X. Lu, D. Power, and E. Weidman-Grunewald et al. 2018. Population mobility reductions associated with travel restrictions during the Ebola epidemic in Sierra Leone:Use of mobile phone data. International Journal of Epidemiology 47(5):1562-1570.
    Qiu, Y., X. Chen, and W. Shi. 2020. Impacts of social and economic factors on the transmission of coronavirus disease 2019(COVID-19) in China. Journal of Population Economics 33(4):1127-1172.
    Shrivastava, S.R., P.S. Shrivastava, and J. Ramasamy. 2015. Ebola disease:An international public health emergency. Asian Pacific Journal of Tropical Disease 5(4):253-262.
    Sigala, M. 2020. Tourism and COVID-19:Impacts and implications for advancing and resetting industry and research. Journal of Business Research 117:312-321.
    Suau-Sanchez, P., A. Voltes-Dorta, and N. Cugueró-Escofet. 2020. An early assessment of the impact of COVID-19 on air transport:Just another crisis or the end of aviation as we know it?Journal of Transport Geography 86:Article 102749.
    Sun, M., N. Xu, C. Li, D. Wu, J. Zou, Y. Wang, L. Luo, M. Yu, et al. 2018. The public health emergency management system in China:Trends from 2002 to 2012. BMC Public Health 18(1):Article 474.
    Tang, K., J. Gaoshan, B. Ahonsi, M. Ali, M. Bonet, N. Broutet, E. Kara, and C. Kim et al. 2020. Sexual and reproductive health (SRH):A key issue in the emergency response to the coronavirus disease (COVID-19) outbreak. Reproductive Health 17(1):1-3.
    Tian, F., H. Li, S. Tian, J. Yang, J. Shao, and C. Tian. 2020. Psychological symptoms of ordinary Chinese citizens based on SCL-90 during the level I emergency response to COVID-19. Psychiatry Research 288:Article 112992.
    Tian, H., Y. Liu, Y. Li, C.H. Wu, B. Chen, M.U.G. Kraemer, B. Li, and J. Cai et al. 2020. An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China. Science 368(6491):638-642.
    Veselovská, L. 2020. Supply chain disruptions in the context of early stages of the global COVID-19 outbreak. Problems and Perspectives in Management 18(2):490-500.
    Wang, L., X. Cao, T. Li, and X. Gao. 2019. Accessibility comparison and spatial differentiation of Xi'an scenic spots with different modes based on Baidu real-time travel. Chinese Geographical Science 29(5):848-860.
    Wang, J.-M., Y.-F. Shi, and J. Zhang. 2017. Energy efficiency and influencing factors analysis on Beijing industrial sectors. Journal of Cleaner Production 167(5):653-664.
    Wei, S., and L. Wang. 2020. Examining the population flow network in China and its implications for epidemic control based on Baidu migration data. Humanities and Social Sciences Communications 7:Article 145.
    Xie, Z., Y. Qin, Y. Li, W. Shen, Z. Zheng, and S. Liu. 2020. Spatial and temporal differentiation of COVID-19 epidemic spread in mainland China and its influencing factors. Science of The Total Environment 744:Article 140929.
    Xu, J., A. Li, D. Li, Y. Liu, Y. Du, T. Pei, T. Ma, and C. Zhou. 2017.Difference of urban development in China from the perspective of passenger transport around Spring Festival. Applied Geography 87(2):85-96.
    Xu, X., S. Wang, J. Dong, Z. Shen, and S. Xu. 2020. An analysis of the domestic resumption of social production and life under the COVID-19 epidemic. PloS One 15(7):Article e0236387.
    Yabe, T., K. Tsubouchi, N. Fujiwara, T. Wada, Y. Sekimoto, and S.V. Ukkusuri. 2020. Non-compulsory measures sufficiently reduced human mobility in Tokyo during the COVID-19 epidemic. Scientific Reports 10(1):1-9.
    Yang, L., Y. Kajitani, H. Tatano, and X. Jiang. 2016. A methodology for estimating business interruption loss caused by flood disasters:insights from business surveys after Tokai Heavy Rain in Japan. Natural Hazards 84(1):411-430.
    Yang, S., G. Yin, X. Shi, H. Liu, and Y. Zou. 2016. Modeling the adverse impact of rainstorms on a regional transport network. International Journal of Disaster Risk Science 7(1):77-87.
    Yuan, Z., Y. Xiao, Z. Dai, J. Huang, Z. Zhang, and Y. Chen. 2020. Modelling the effects of Wuhan's lockdown during COVID-19, China. Bulletin of the World Health Organization 98(7):484-494.
    Zhang, S., Z. Wang, R. Chang, H. Wang, C. Xu, X. Yu, L. Tsamlag, and Y. Dong et al. 2020. COVID-19 containment:China provides important lessons for global response. Frontiers of Medicine 14:215-219.
    Zhang, Z., Y. Xiao, X. Luo, and M. Zhou. 2020. Urban human activity density spatiotemporal variations and the relationship with geographical factors:An exploratory Baidu heatmaps-based analysis of Wuhan, China. Growth and Change 51(1):505-529.
    Zhou, Y., R. Xu, D. Hu, Y. Yue, Q. Li, and J. Xia. 2020. Effects of human mobility restrictions on the spread of COVID-19 in Shenzhen, China:A modelling study using mobile phone data. The Lancet Digital Health 2(8):e417-e424.
    Zhu, Y., J. Xie, F. Huang, and L. Cao. 2020. The mediating effect of air quality on the association between human mobility and COVID-19 infection in China. Environmental Research 189:Article 109911.
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