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.

• Record URL:
  http://www.purdue.edu/discoverypark/nextrans/assets/docs/160PUY2.2_Summary%20and%20Final%20Technical%20Report.pdf
• 
• 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

  NEXTRANS

  Purdue University
  3000 Kent Avenue
  Lafayette, IN  United States  47906-1075

  Research and Innovative Technology Administration

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

Language

• English

Media Info

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

Subject/Index Terms

• TRT Terms: Behavior; Disasters; Econometric models; Evacuation; Psychological trust
• Candidate Terms: Social networking
• Identifier Terms: Facebook; Twitter
• Uncontrolled Terms: Social networking service usage
• Subject Areas: Data and Information Technology; Security and Emergencies; Transportation (General);

Filing Info

• Accession Number: 01646178
• Record Type: Publication
• Report/Paper Numbers: NEXTRANS Project No. 160PUY2.2
• Contract Numbers: DTRT12-G-UTC05
• Files: UTC, TRIS, RITA, ATRI, USDOT
• Created Date: Sep 18 2017 9:58PM