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Photo of Mo Hamza

Mo Hamza

Researcher

Photo of Mo Hamza

The Human Dimension of Early Warning. : A viewpoint

Author

  • Mo Hamza
  • Peter Månsson

Summary, in English

Purpose – The 2004 Boxing Day tsunami prompted global efforts to develop end-to-end multi-hazard warning systems. Taking this event as a starting point, and drawing on experiences from the following advancement of the Indonesian tsunami early warning system, this paper aims to highlight the importance of paying attention to human factors and the perceptions and behaviors of end recipients when trying to design efficient early warning systems.

Design/methodology/approach – The study is a viewpoint where theoretical
frameworks for the design of efficient early warning systems are used as backdrop to an extensive review and analysis of secondary data, including scientific papers and newspaper articles.

Findings – The paper presents what an end-to-end warning system means, explores process problems related to perception and communication and concludes with views and recommendations toward more inclusive early warnings.

Originality/value – Research and practice related to early warning systems have traditionally had a strong focus on technological elements whilst the target groups of early warnings (i.e. communities) have received far less attention and resources. This paper focuses on the human dimension of warning systems and uses a real case to exemplify how efficient warning systems not only require a sound scientific and technological basis, but also depend on the awareness, trust and will of the people they aim to protect.

Department/s

  • Division of Risk Management and Societal Safety

Publishing year

2019-04-11

Language

English

Pages

263-274

Publication/Series

International Journal of Disaster Resilience in the Built Environment

Volume

11

Issue

2

Document type

Journal article

Publisher

Emerald Group Publishing Limited

Topic

  • Social Sciences
  • Other Civil Engineering
  • Social Sciences Interdisciplinary

Keywords

  • Early warning
  • Risk analysis
  • Vulnerability
  • Risk perception
  • Tsunami
  • Risk reduction

Status

Published

ISBN/ISSN/Other

  • ISSN: 1759-5908