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Harnessing the power of crowdsourcing and Internet of Things in disaster response

Author

Listed:
  • Shuihua Han

    (Xiamen University)

  • Hu Huang

    (Xiamen University)

  • Zongwei Luo

    (Southern University of Science and Technology)

  • Cyril Foropon

    (Montpellier Business School)

Abstract

Crowdsourcing and Internet of Things (IoT) are gaining more and more attention both in industry and academia in order to explore their effects on disaster relief. The current state of the literature shows a clear focus on the extent to which crowdsourcing on one hand, or IoT on the other hand, can individually make a difference regarding disaster response, but very few studies have considered the integration of both crowdsourcing and internet of things in order to link them with disaster response. Accordingly, in this paper, the authors have attempted to develop a crowdsourcing and IoT integration model which could help improving disaster response by using important value derived from using both social media and RFID technology. Furthermore, despite the fact that disaster relief offers similarities with epidemic transmission, (especially the SIR model), the application of SIR model in disaster relief still remains unexplored, which has led the authors to conduct a series of SIR model-based simulations to investigate the extent to which such integration model helps improving disaster response.

Suggested Citation

  • Shuihua Han & Hu Huang & Zongwei Luo & Cyril Foropon, 2019. "Harnessing the power of crowdsourcing and Internet of Things in disaster response," Annals of Operations Research, Springer, vol. 283(1), pages 1175-1190, December.
    • Handle: RePEc:spr:annopr:v:283:y:2019:i:1:d:10.1007_s10479-018-2884-1
    DOI: 10.1007/s10479-018-2884-1
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    References listed on IDEAS

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    Cited by:

    1. Narayan Prasad Nagendra & Gopalakrishnan Narayanamurthy & Roger Moser, 2022. "Management of humanitarian relief operations using satellite big data analytics: the case of Kerala floods," Annals of Operations Research, Springer, vol. 319(1), pages 885-910, December.
    2. Sachin Modgil & Rohit Kumar Singh & Cyril Foropon, 2022. "Quality management in humanitarian operations and disaster relief management: a review and future research directions," Annals of Operations Research, Springer, vol. 319(1), pages 1045-1098, December.
    3. Vahideh Manshadi & Scott Rodilitz, 2022. "Online Policies for Efficient Volunteer Crowdsourcing," Management Science, INFORMS, vol. 68(9), pages 6572-6590, September.

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