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Related Experiment Video

Updated: Jun 12, 2026

Technical Aspect of the Automated Synthesis and Real-Time Kinetic Evaluation of [11C]SNAP-7941
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Published on: April 28, 2019

Timing crisis information release via television.

Jiuchang Wei1, Dingtao Zhao, Feng Yang

  • 1School of Management, University of Science and Technology of China, Hefei, Anhui Province, 230026, P.R. China. weijc@ustc.edu.cn

Disasters
|June 25, 2010
PubMed
Summary

This study develops a model for optimal television broadcasting of crisis information, determining the best timing and frequency to maximize audience reach while minimizing disruption. The findings aid effective emergency risk communication strategies.

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Area of Science:

  • Crisis and Emergency Risk Communication
  • Audience Coverage Modeling
  • Broadcasting Optimization

Background:

  • Effective crisis communication requires strategic information release timing on television.
  • Broadcasting non-urgent crisis information can disrupt regular programming.
  • Audience access to critical information must be balanced with broadcast schedules.

Purpose of the Study:

  • To develop a model for optimizing crisis information release on television.
  • To determine the ideal broadcasting sequence and frequency for crisis alerts.
  • To minimize broadcast interference and audience psychological impact.

Main Methods:

  • Utilized recursive methods to construct an audience coverage model.
  • Employed the implicit enumeration method for optimization.
  • Analyzed 2007 Household Using TV (HUT) data from Hefei City, China.

Main Results:

  • Identified optimal broadcasting sequences and frequencies (1-8 times) for crisis information.
  • The model demonstrates applicability to various information types beyond crises.
  • Achieved a balance between information dissemination and broadcast continuity.

Conclusions:

  • The developed model enhances the effectiveness of crisis information transmission.
  • Optimized broadcasting reduces interference with television programming.
  • The model supports broader applications in news, weather, and road information dissemination.