IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i22p9775-d449710.html
   My bibliography  Save this article

Data-Driven Approach to Understand the Mobility Patterns of the Portuguese Population during the COVID-19 Pandemic

Author

Listed:
  • Tiago Tamagusko

    (Research Center for Territory, Transports and Environment, Department of Civil Engineering, University of Coimbra, 3030-788 Coimbra, Portugal)

  • Adelino Ferreira

    (Research Center for Territory, Transports and Environment, Department of Civil Engineering, University of Coimbra, 3030-788 Coimbra, Portugal)

Abstract

SARS-CoV-2 emerged in late 2019. Since then, it has spread to several countries, becoming classified as a pandemic. So far, there is no definitive treatment or vaccine, so the best solution is to prevent transmission between individuals through social distancing. However, it is not easy to measure the effectiveness of these distance measures. Therefore, this study uses data from Google COVID-19 Community Mobility Reports to understand the Portuguese population’s mobility patterns during the COVID-19 pandemic. In this study, the Rt value was modeled for Portugal. In addition, the changepoint was calculated for the population mobility patterns. Thus, the mobility pattern change was used to understand the impact of social distance measures on the dissemination of COVID-19. As a result, it can be stated that the initial Rt value in Portugal was very close to 3, falling to values close to 1 after 25 days. Social isolation measures were adopted quickly. Furthermore, it was observed that public transport was avoided during the pandemic. Finally, until the emergence of a vaccine or an effective treatment, this is the new normal, and it must be understood that new patterns of mobility, social interaction, and hygiene must be adapted to this reality.

Suggested Citation

  • Tiago Tamagusko & Adelino Ferreira, 2020. "Data-Driven Approach to Understand the Mobility Patterns of the Portuguese Population during the COVID-19 Pandemic," Sustainability, MDPI, vol. 12(22), pages 1-12, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9775-:d:449710
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/22/9775/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/22/9775/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Killick, Rebecca & Eckley, Idris A., 2014. "changepoint: An R Package for Changepoint Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 58(i03).
    2. Venter, Zander & Barton, David & gundersen, vegard & Figari, Helene & Nowell, Megan, 2020. "Urban nature in a time of crisis: recreational use of green space increases during the COVID-19 outbreak in Oslo, Norway," SocArXiv kbdum, Center for Open Science.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Joao T. Aparicio & Elisabete Arsenio & Rui Henriques, 2021. "Understanding the Impacts of the COVID-19 Pandemic on Public Transportation Travel Patterns in the City of Lisbon," Sustainability, MDPI, vol. 13(15), pages 1-18, July.
    2. Artur Strzelecki & Ana Azevedo & Mariia Rizun & Paulina Rutecka & Kacper Zagała & Karina Cicha & Alexandra Albuquerque, 2022. "Human Mobility Restrictions and COVID-19 Infection Rates: Analysis of Mobility Data and Coronavirus Spread in Poland and Portugal," IJERPH, MDPI, vol. 19(21), pages 1-25, November.
    3. Konečný Vladimír & Zuzaniak Martin & Brídziková Mária & Jaśkiewicz Marek, 2023. "Regional Differences in the Impact of the COVID-19 Pandemic on the Demand for Bus Transport in the Slovak Republic," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 14(1), pages 146-157, January.
    4. Lukas Hartwig & Reinhard Hössinger & Yusak Octavius Susilo & Astrid Gühnemann, 2022. "The Impacts of a COVID-19 Related Lockdown (and Reopening Phases) on Time Use and Mobility for Activities in Austria—Results from a Multi-Wave Combined Survey," Sustainability, MDPI, vol. 14(12), pages 1-24, June.
    5. Nelson Mileu & Nuno M. Costa & Eduarda M. Costa & André Alves, 2022. "Mobility and Dissemination of COVID-19 in Portugal: Correlations and Estimates from Google’s Mobility Data," Data, MDPI, vol. 7(8), pages 1-17, July.
    6. Sreten Simović & Tijana Ivanišević & Bojana Bradić & Svetlana Čičević & Aleksandar Trifunović, 2021. "What Causes Changes in Passenger Behavior in South-East Europe during the COVID-19 Pandemic?," Sustainability, MDPI, vol. 13(15), pages 1-11, July.
    7. Benedek Nagy & Manuela Rozalia Gabor & Ioan Bogdan Baco? & Moaaz Kabil & Kai Zhu & Lóránt Dénes Dávid, 2023. "Google and apple mobility data as predictors for European tourism during the COVID-19 pandemic: A neural network approach," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 18(2), pages 419-459, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hui, Ling Chui & Jim, C.Y., 2022. "Urban-greenery demands are affected by perceptions of ecosystem services and disservices, and socio-demographic and environmental-cultural factors," Land Use Policy, Elsevier, vol. 120(C).
    2. Petter Arnesen & Odd A. Hjelkrem, 2018. "An Estimator for Traffic Breakdown Probability Based on Classification of Transitional Breakdown Events," Transportation Science, INFORMS, vol. 52(3), pages 593-602, June.
    3. Luyang Chen & Lingbo Liu & Hao Wu & Zhenghong Peng & Zhihao Sun, 2022. "Change of Residents’ Attitudes and Behaviors toward Urban Green Space Pre- and Post- COVID-19 Pandemic," Land, MDPI, vol. 11(7), pages 1-16, July.
    4. Malte Willmes & Katherine M Ransom & Levi S Lewis & Christian T Denney & Justin J G Glessner & James A Hobbs, 2018. "IsoFishR: An application for reproducible data reduction and analysis of strontium isotope ratios (87Sr/86Sr) obtained via laser-ablation MC-ICP-MS," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-15, September.
    5. Carolina Mayen Huerta & Ariane Utomo, 2022. "Barriers Affecting Women’s Access to Urban Green Spaces during the COVID-19 Pandemic," Land, MDPI, vol. 11(4), pages 1-18, April.
    6. Salvatore Fasola & Vito M. R. Muggeo & Helmut Küchenhoff, 2018. "A heuristic, iterative algorithm for change-point detection in abrupt change models," Computational Statistics, Springer, vol. 33(2), pages 997-1015, June.
    7. Yifeng Liu & Yuan Lai, 2024. "Analyzing jogging activity patterns and adaptation to public health regulation," Environment and Planning B, , vol. 51(3), pages 670-688, March.
    8. Mare Lõhmus & Cecilia U. D. Stenfors & Tomas Lind & André Lauber & Antonios Georgelis, 2021. "Mental Health, Greenness, and Nature Related Behaviors in the Adult Population of Stockholm County during COVID-19-Related Restrictions," IJERPH, MDPI, vol. 18(6), pages 1-21, March.
    9. Hui Zhang & Minna Väliranta & Graeme T. Swindles & Marco A. Aquino-López & Donal Mullan & Ning Tan & Matthew Amesbury & Kirill V. Babeshko & Kunshan Bao & Anatoly Bobrov & Viktor Chernyshov & Marissa , 2022. "Recent climate change has driven divergent hydrological shifts in high-latitude peatlands," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    10. Argyro Anna Kanelli & Panayiotis G. Dimitrakopoulos & Nikolaos M. Fyllas & George P. Chrousos & Olga-Ioanna Kalantzi, 2021. "Engaging the Senses: The Association of Urban Green Space with General Health and Well-Being in Urban Residents," Sustainability, MDPI, vol. 13(13), pages 1-15, June.
    11. Subhashis Chatterjee & Ankur Shukla, 2016. "Change point–based software reliability model under imperfect debugging with revised concept of fault dependency," Journal of Risk and Reliability, , vol. 230(6), pages 579-597, December.
    12. Angelo Panno & Annalisa Theodorou & Giuseppe Alessio Carbone & Evelina De Longis & Chiara Massullo & Gianluca Cepale & Giuseppe Carrus & Claudio Imperatori & Giovanni Sanesi, 2021. "Go Greener, Less Risk: Access to Nature Is Associated with Lower Risk Taking in Different Domains during the COVID-19 Lockdown," Sustainability, MDPI, vol. 13(19), pages 1-17, September.
    13. Julia Rehling & Christiane Bunge & Julia Waldhauer & André Conrad, 2021. "Socioeconomic Differences in Walking Time of Children and Adolescents to Public Green Spaces in Urban Areas—Results of the German Environmental Survey (2014–2017)," IJERPH, MDPI, vol. 18(5), pages 1-12, February.
    14. Olaf Mumm & Ryan Zeringue & Nannan Dong & Vanessa Miriam Carlow, 2022. "Green Densities: Accessible Green Spaces in Highly Dense Urban Regions—A Comparison of Berlin and Qingdao," Sustainability, MDPI, vol. 14(3), pages 1-22, February.
    15. Xiangyou Shen & Megan MacDonald & Samuel W. Logan & Colby Parkinson & Lydia Gorrell & Bridget E. Hatfield, 2022. "Leisure Engagement during COVID-19 and Its Association with Mental Health and Wellbeing in U.S. Adults," IJERPH, MDPI, vol. 19(3), pages 1-22, January.
    16. Michał Suchanek & Agnieszka Szmelter-Jarosz, 2023. "Car enthusiasm during the second and fourth waves of COVID-19 pandemic," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    17. Dehler-Holland, Joris & Okoh, Marvin & Keles, Dogan, 2022. "Assessing technology legitimacy with topic models and sentiment analysis – The case of wind power in Germany," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    18. Rolando Fuentes & Marzio Galeotti & Alessandro Lanza & Baltasar Manzano, 2020. "COVID-19 and Climate Change: A Tale of Two Global Problems," Sustainability, MDPI, vol. 12(20), pages 1-14, October.
    19. Li, Boyan & Diao, Xundi, 2023. "Structural break in different stock index markets in China," The North American Journal of Economics and Finance, Elsevier, vol. 65(C).
    20. Qizhen Li & Saroj Thapa & Xijun Hu & Ziwei Luo & David J. Gibson, 2022. "The Relationship between Urban Green Space and Urban Expansion Based on Gravity Methods," Sustainability, MDPI, vol. 14(9), pages 1-17, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9775-:d:449710. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.