IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v49y2022i9p2378-2391.html
   My bibliography  Save this article

Unveiling spatial patterns of disaster impacts and recovery using credit card transaction fluctuations

Author

Listed:
  • Faxi Yuan
  • Amir Esmalian
  • Bora Oztekin
  • Ali Mostafavi

Abstract

The objective of this study is to examine spatial patterns of disaster impacts and recovery of communities based on fluctuations in credit card transactions (CCTs). Such fluctuations could capture the collective effects of household impacts, disrupted accesses, and business closures and thus provide an integrative measure for examining disaster impacts and community recovery. Existing studies depend mainly on survey and sociodemographic data for disaster impacts and recovery effort evaluations, although such data has limitations, including large data collection efforts and delayed timeliness results. Also, there are very few studies have concentrated on spatial patterns of disaster impacts and short-term recovery of communities, although such investigation can enhance situational awareness during disasters and support the identification of disparate spatial patterns of disaster impacts and recovery in the impacted regions. This study examines CCTs data Harris County (Texas, USA) during Hurricane Harvey in 2017 to explore spatial patterns of disaster impacts and recovery duration from the perspective of community residents and businesses at ZIP-code and county scales, respectively, and to further investigate their spatial disparities across ZIP codes. The results indicate that individuals in ZIP codes with populations of higher income experienced more severe disaster impact and recovered more quickly than those located in lower income ZIP codes for most business sectors. Our findings not only enhance the understanding of spatial patterns and disparities in disaster impacts and recovery for better community resilience assessment but also could benefit emergency managers, city planners, and public officials in enhanced situational awareness and resource allocation.

Suggested Citation

  • Faxi Yuan & Amir Esmalian & Bora Oztekin & Ali Mostafavi, 2022. "Unveiling spatial patterns of disaster impacts and recovery using credit card transaction fluctuations," Environment and Planning B, , vol. 49(9), pages 2378-2391, November.
  • Handle: RePEc:sae:envirb:v:49:y:2022:i:9:p:2378-2391
    DOI: 10.1177/23998083221090246
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/23998083221090246
    Download Restriction: no

    File URL: https://libkey.io/10.1177/23998083221090246?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
    ---><---

    References listed on IDEAS

    as
    1. Benedikt Knüsel & Marius Zumwald & Christoph Baumberger & Gertrude Hirsch Hadorn & Erich M. Fischer & David N. Bresch & Reto Knutti, 2019. "Applying big data beyond small problems in climate research," Nature Climate Change, Nature, vol. 9(3), pages 196-202, March.
    2. Takahiro Yabe & Yunchang Zhang & Satish Ukkusuri, 2020. "Quantifying the Economic Impact of Extreme Shocks on Businesses using Human Mobility Data: a Bayesian Causal Inference Approach," Papers 2004.11121, arXiv.org.
    3. V.L.M. Spiegler & A.T. Potter & M.M. Naim & D.R. Towill, 2016. "The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 265-286, January.
    4. Timothy K. M. Beatty & Jay P. Shimshack & Richard J. Volpe, 2019. "Disaster Preparedness and Disaster Response: Evidence from Sales of Emergency Supplies Before and After Hurricanes," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 6(4), pages 633-668.
    5. Nan, Cen & Sansavini, Giovanni, 2017. "A quantitative method for assessing resilience of interdependent infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 157(C), pages 35-53.
    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. Faxi Yuan & Amir Esmalian & Bora Oztekin & Ali Mostafavi, 2021. "Unveiling Spatial Patterns of Disaster Impacts and Recovery Using Credit Card Transaction Variances," Papers 2101.10090, arXiv.org.
    2. Trucco, Paolo & Petrenj, Boris, 2023. "Characterisation of resilience metrics in full-scale applications to interdependent infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    3. Licia Felicioni & Antonín Lupíšek & Petr Hájek, 2020. "Major European Stressors and Potential of Available Tools for Assessment of Urban and Buildings Resilience," Sustainability, MDPI, vol. 12(18), pages 1-27, September.
    4. Dmitry Ivanov, 2022. "Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic," Annals of Operations Research, Springer, vol. 319(1), pages 1411-1431, December.
    5. Chin‐Hsien Yu & Bruce A. McCarl & Jian‐Da Zhu, 2022. "Market response to typhoons: The role of information and expectations," Southern Economic Journal, John Wiley & Sons, vol. 89(2), pages 496-521, October.
    6. Sun, Qin & Li, Hongxu & Wang, Yuzhi & Zhang, Yingchao, 2022. "Multi-swarm-based cooperative reconfiguration model for resilient unmanned weapon system-of-systems," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    7. Moglen, Rachel L. & Barth, Julius & Gupta, Shagun & Kawai, Eiji & Klise, Katherine & Leibowicz, Benjamin D., 2023. "A nexus approach to infrastructure resilience planning under uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    8. Liu, Huan & Tatano, Hirokazu & Pflug, Georg & Hochrainer-Stigler, Stefan, 2021. "Post-disaster recovery in industrial sectors: A Markov process analysis of multiple lifeline disruptions," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    9. May Haggag & Ahmad S. Siam & Wael El-Dakhakhni & Paulin Coulibaly & Elkafi Hassini, 2021. "A deep learning model for predicting climate-induced disasters," 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. 107(1), pages 1009-1034, May.
    10. Kameshwar, Sabarethinam & Cox, Daniel T. & Barbosa, Andre R. & Farokhnia, Karim & Park, Hyoungsu & Alam, Mohammad S. & van de Lindt, John W., 2019. "Probabilistic decision-support framework for community resilience: Incorporating multi-hazards, infrastructure interdependencies, and resilience goals in a Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    11. Poulin, Craig & Kane, Michael B., 2021. "Infrastructure resilience curves: Performance measures and summary metrics," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    12. Brunner, L.G. & Peer, R.A.M. & Zorn, C. & Paulik, R. & Logan, T.M., 2024. "Understanding cascading risks through real-world interdependent urban infrastructure," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    13. Andrew B. Martinez, 2020. "Forecast Accuracy Matters for Hurricane Damage," Econometrics, MDPI, vol. 8(2), pages 1-24, May.
    14. Ivo Häring & Mirjam Fehling-Kaschek & Natalie Miller & Katja Faist & Sebastian Ganter & Kushal Srivastava & Aishvarya Kumar Jain & Georg Fischer & Kai Fischer & Jörg Finger & Alexander Stolz & Tobias , 2021. "A performance-based tabular approach for joint systematic improvement of risk control and resilience applied to telecommunication grid, gas network, and ultrasound localization system," Environment Systems and Decisions, Springer, vol. 41(2), pages 286-329, June.
    15. Mühlhofer, Evelyn & Koks, Elco E. & Kropf, Chahan M. & Sansavini, Giovanni & Bresch, David N., 2023. "A generalized natural hazard risk modelling framework for infrastructure failure cascades," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    16. Renato Molina & Ivan Rudik, 2022. "The Social Value of Predicting Hurricanes," CESifo Working Paper Series 10049, CESifo.
    17. Wikner, Joakim & Naim, Mohamed M. & Spiegler, Virginia L.M. & Lin, Junyi, 2017. "IOBPCS based models and decoupling thinking," International Journal of Production Economics, Elsevier, vol. 194(C), pages 153-166.
    18. Qian, Lanping & Bai, Yang & Wang, Wenya & Meng, Fanyi & Chen, Zhisong, 2023. "Natural gas crisis, system resilience and emergency responses: A China case," Energy, Elsevier, vol. 276(C).
    19. Rachunok, Benjamin & Nateghi, Roshanak, 2020. "The sensitivity of electric power infrastructure resilience to the spatial distribution of disaster impacts," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    20. Simandjuntak, Daniel P. & Jaenicke, Edward C. & Wrenn, Douglas H., 2022. "Heterogeneity in Consumer Food Stockpiling and Retailer Experiences During Hurricane Sandy," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322183, Agricultural and Applied Economics Association.

    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:sae:envirb:v:49:y:2022:i:9:p:2378-2391. 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: SAGE Publications (email available below). General contact details of provider: .

    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.