IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v57y2023i6d10.1007_s11135-022-01610-7.html
   My bibliography  Save this article

Spatial response and power law distribution according to Winter storm Jonas

Author

Listed:
  • Seungil Yum

    (University of Florida)

Abstract

This study examines the effects of Winter storm Jonas on spatial response and power law distribution. This study employs its own program called Twitgis for big data analyses to collect tweets data according to the pre-winter storm period, winter storm period, and post-winter storm period across the US states. This study finds that Winter storm Jonas plays a different role in the proportion of tweets according to periods and geographical locations. Tweets are highly fluctuated by periods and geographical locations. This study also finds that Winter storm Jonas plays a negative role in displacements over 150 km and reduces long distance trips. Lastly, this study shows that displacements in the winter storm period follow the power law distribution and show a significant difference from those in the non-winter storm period. The results in the paper allow governments and disaster managers to (1) explore online responses to natural disasters based on big data analyses of social media data, (2) understand spatial responses and displacements according to periods and regions, and (3) develop natural disaster policies based on a multitude of periods and regions.

Suggested Citation

  • Seungil Yum, 2023. "Spatial response and power law distribution according to Winter storm Jonas," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(6), pages 5241-5255, December.
    • Handle: RePEc:spr:qualqt:v:57:y:2023:i:6:d:10.1007_s11135-022-01610-7
    DOI: 10.1007/s11135-022-01610-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-022-01610-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11135-022-01610-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jesús Crespo Cuaresma & Jaroslava Hlouskova & Michael Obersteiner, 2008. "Natural Disasters As Creative Destruction? Evidence From Developing Countries," Economic Inquiry, Western Economic Association International, vol. 46(2), pages 214-226, April.
    2. Fabian Barthel & Eric Neumayer, 2012. "A trend analysis of normalized insured damage from natural disasters," Climatic Change, Springer, vol. 113(2), pages 215-237, July.
    3. Yasuyuki Todo & Kentaro Nakajima & Petr Matous, 2015. "How Do Supply Chain Networks Affect The Resilience Of Firms To Natural Disasters? Evidence From The Great East Japan Earthquake," Journal of Regional Science, Wiley Blackwell, vol. 55(2), pages 209-229, March.
    4. Datla, Sandeep & Sharma, Satish, 2008. "Impact of cold and snow on temporal and spatial variations of highway traffic volumes," Journal of Transport Geography, Elsevier, vol. 16(5), pages 358-372.
    5. Alexandru Bănică & Karima Kourtit & Peter Nijkamp, 2020. "Natural disasters as a development opportunity: a spatial economic resilience interpretation," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 40(2), pages 223-249, October.
    6. Oliver Gruebner & Sarah R. Lowe & Martin Sykora & Ketan Shankardass & SV Subramanian & Sandro Galea, 2018. "Spatio-Temporal Distribution of Negative Emotions in New York City After a Natural Disaster as Seen in Social Media," IJERPH, MDPI, vol. 15(10), pages 1-12, October.
    7. Boyeong Hong & Bartosz J. Bonczak & Arpit Gupta & Constantine E. Kontokosta, 2021. "Measuring inequality in community resilience to natural disasters using large-scale mobility data," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    8. Pagnottoni, Paolo & Spelta, Alessandro & Flori, Andrea & Pammolli, Fabio, 2022. "Climate change and financial stability: Natural disaster impacts on global stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 599(C).
    9. D. Brockmann & L. Hufnagel & T. Geisel, 2006. "The scaling laws of human travel," Nature, Nature, vol. 439(7075), pages 462-465, January.
    10. Eric Geist & Tom Parsons, 2014. "Undersampling power-law size distributions: effect on the assessment of extreme natural hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 72(2), pages 565-595, June.
    Full references (including those not matched with items on IDEAS)

    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. Wenping Ye & Zhongfeng Su & Hongjia Ma, 2023. "Does climate risk affect entrepreneurial growth aspirations? The moderating effects of gender and solo-founded ventures," Small Business Economics, Springer, vol. 61(4), pages 1671-1692, December.
    2. Trond G. Husby & Elco E. Koks, 2017. "Household migration in disaster impact analysis: incorporating behavioural responses to risk," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(1), pages 287-305, May.
    3. Matthew A. COLE & Robert J R ELLIOTT & Toshihiro OKUBO & Eric STROBL, 2015. "The Effectiveness of Pre-Disaster Planning and Post-Disaster Aid: Examining the impact on plants of the Great East Japan Earthquake," Discussion papers 15097, Research Institute of Economy, Trade and Industry (RIETI).
    4. Uchida, Hirofumi & Miyakawa, Daisuke & Hosono, Kaoru & Ono, Arito & Uchino, Taisuke & Uesugi, Iichiro, 2015. "Financial shocks, bankruptcy, and natural selection," Japan and the World Economy, Elsevier, vol. 36(C), pages 123-135.
    5. Kousky, Carolyn, 2014. "Informing climate adaptation: A review of the economic costs of natural disasters," Energy Economics, Elsevier, vol. 46(C), pages 576-592.
    6. Songhua Hu & Kailai Wang & Lingyao Li & Yingrui Zhao & Zhenbing He & Yunpeng & Zhang, 2023. "Modeling Link-level Road Traffic Resilience to Extreme Weather Events Using Crowdsourced Data," Papers 2310.14380, arXiv.org.
    7. Ferreira, A.S. & Raposo, E.P. & Viswanathan, G.M. & da Luz, M.G.E., 2012. "The influence of the environment on Lévy random search efficiency: Fractality and memory effects," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(11), pages 3234-3246.
    8. Kashiwagi , Yuzuka & Todo , Yasuyuki, 2020. "Propagation of Positive Effects of Postdisaster Policies through Supply Chains: Evidence from the Great East Japan Earthquake and Tsunami," ADB Economics Working Paper Series 604, Asian Development Bank.
    9. Noy, Ilan & Vu, Tam Bang, 2010. "The economics of natural disasters in a developing country: The case of Vietnam," Journal of Asian Economics, Elsevier, vol. 21(4), pages 345-354, August.
    10. Miguel Picornell & Tomás Ruiz & Maxime Lenormand & José Ramasco & Thibaut Dubernet & Enrique Frías-Martínez, 2015. "Exploring the potential of phone call data to characterize the relationship between social network and travel behavior," Transportation, Springer, vol. 42(4), pages 647-668, July.
    11. Matteo Coronese & Davide Luzzati, 2022. "Economic impacts of natural hazards and complexity science: a critical review," LEM Papers Series 2022/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    12. Bachev, Hrabrin & Ito, Fusao, 2017. "Agricultural impacts of the Great East Japan Earthquake - six years later," MPRA Paper 79469, University Library of Munich, Germany.
    13. Yasuhide Okuyama, 2015. "How shaky was the regional economy after the 1995 Kobe earthquake? A multiplicative decomposition analysis of disaster impact," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 55(2), pages 289-312, December.
    14. Yamamura, Eiji, 2011. "Effect of free media on views regarding the safety of nuclear energy after the 2011 disasters in Japan: evidence using cross-country data," MPRA Paper 32011, University Library of Munich, Germany.
    15. Yuzuka KASHIWAGI & Yasuyuki TODO, 2022. "Trade Disruption and Risk Perception," Discussion papers 22086, Research Institute of Economy, Trade and Industry (RIETI).
    16. Varga, Levente & Tóth, Géza & Néda, Zoltán, 2017. "An improved radiation model and its applicability for understanding commuting patterns in Hungary," MPRA Paper 76806, University Library of Munich, Germany.
    17. Hayato Kato & Toshihiro Okubo, 2022. "The Resilience of FDI to Natural Disasters Through Industrial Linkages," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(1), pages 177-225, May.
    18. repec:plo:pone00:0070854 is not listed on IDEAS
    19. Susana Ferreira, 2024. "Extreme Weather Events and Climate Change: Economic Impacts and Adaptation Policies," Annual Review of Resource Economics, Annual Reviews, vol. 16(1), pages 207-231, October.
    20. Magdziarz, M. & Scheffler, H.P. & Straka, P. & Zebrowski, P., 2015. "Limit theorems and governing equations for Lévy walks," Stochastic Processes and their Applications, Elsevier, vol. 125(11), pages 4021-4038.
    21. Chan, Ho-Yin & Ma, Hanxi & Zhou, Jiangping, 2024. "Resilience of socio-technical transportation systems: A demand-driven community detection in human mobility structures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 190(C).

    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:spr:qualqt:v:57:y:2023:i:6:d:10.1007_s11135-022-01610-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.