Effects of Heterogeneous Information Characteristics and Sources on Evacuation Behavior

Mass evacuation is required when a nature (e.g. hurricane) or man-made (e.g. terrorist attack) disaster poses immediate or potential threat to the population in the affected areas, and the issuance of the evacuation notice is often crucial to ensure the success of the evacuation. One important element that directly affects the issuance of the evacuation notice is the lead-time in the predictability of a disaster’s occurrence. Establishing and/or maintaining communication in no-notice evacuations are often found challenging due to the limited and impaired resources under the urgent situations. In addition to traditional communication platforms, social networking services (SNS), such as Facebook and Twitter, allow users to share information and establish communication with whom they share a connection in the urgent evacuation situations. The effectiveness of using SNS to assist no-notice evacuations depends on two important SNS-related behaviors of potential evacuees, including their levels of trust towards disaster and evacuation related information on SNS, and SNS usage during no-notice evacuations. The proposed study seeks to understand the differences in terms of levels of trust towards information of disaster occurrence notification and evacuation recommendation from different communication platforms (including SNS and traditional communication platforms) in no-notice evacuations. In addition, econometric models are created to understand the correlation between an individual’s socio-economic and behavioral characteristics and their behaviors related to SNS usage during no-notice evacuations.

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  • Supplemental Notes:
    • This research was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
  • Corporate Authors:

    Purdue University

    School of Civil Engineering, 550 Stadium Mall Drive
    West Lafeyette, IN  United States  47907


    Purdue University
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  • Authors:
    • Zheng, Lingyu
    • Guo, Yuntao
    • Song, Dong Yoon
    • Peeta, Srinivas
    • Chung, Jin-Hyuk
  • Publication Date: 2017-4-30


  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: References; Tables;
  • Pagination: 40p

Subject/Index Terms

Filing Info

  • Accession Number: 01646178
  • Record Type: Publication
  • Report/Paper Numbers: NEXTRANS Project No. 160PUY2.2
  • Contract Numbers: DTRT12-G-UTC05
  • Created Date: Sep 8 2017 7:50AM