TY - JOUR
T1 - The potential of disaster digital archives in disaster education
T2 - The case of the Japan disasters digital archive (JDA) and its geo-location functions
AU - Gerster, Julia
AU - Boret, Sebastien Penmellen
AU - Morimoto, Ryo
AU - Gordon, Andrew
AU - Shibayama, Akihiro
N1 - Publisher Copyright:
© 2022
PY - 2022/7
Y1 - 2022/7
N2 - Using the Japan Disasters Digital Archive (JDA) as an example, the present study examines how geo-location functions in disaster digital archives may contribute to disaster risk awareness. It focuses on the sites affected by or representing lessons learned from the 2011 Great East Japan Earthquake (GEJE), such as the tsunami inundated coastal areas or museums. The study tests the thesis that geo-located data in digital archives can enhance disaster risk awareness by allowing its users to discover novel location-specific information. The Covid-19 pandemic drastically influenced the research design and the results. The research methods had to be changed from group-based field trips and in-person interviews to virtual research methods that participants could follow on their own. Although there is room for improvements in the JDA design and function, the research results suggest that options for visitors to retrieve information through digital archives on their own while visiting sites of their interest can contribute to their understanding of the history of these specific places and local risks. Promoting self-guided tours by giving access to disaster digital archives with a geolocation-function could also be used as a cost saving option for museums and visitors alike to explore disaster-affected areas, especially in times of a pandemic when visitors are discouraged from joining crowded tours. As a whole, this research aims to not only improve (disaster) digital archives but also to contribute to disaster education in general and offer a widened learning experience for visitors of disaster affected areas in particular.
AB - Using the Japan Disasters Digital Archive (JDA) as an example, the present study examines how geo-location functions in disaster digital archives may contribute to disaster risk awareness. It focuses on the sites affected by or representing lessons learned from the 2011 Great East Japan Earthquake (GEJE), such as the tsunami inundated coastal areas or museums. The study tests the thesis that geo-located data in digital archives can enhance disaster risk awareness by allowing its users to discover novel location-specific information. The Covid-19 pandemic drastically influenced the research design and the results. The research methods had to be changed from group-based field trips and in-person interviews to virtual research methods that participants could follow on their own. Although there is room for improvements in the JDA design and function, the research results suggest that options for visitors to retrieve information through digital archives on their own while visiting sites of their interest can contribute to their understanding of the history of these specific places and local risks. Promoting self-guided tours by giving access to disaster digital archives with a geolocation-function could also be used as a cost saving option for museums and visitors alike to explore disaster-affected areas, especially in times of a pandemic when visitors are discouraged from joining crowded tours. As a whole, this research aims to not only improve (disaster) digital archives but also to contribute to disaster education in general and offer a widened learning experience for visitors of disaster affected areas in particular.
KW - DRR
KW - Digital archive
KW - Digital research methods
KW - Disaster
KW - Risk education
UR - http://www.scopus.com/inward/record.url?scp=85132382700&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85132382700&partnerID=8YFLogxK
U2 - 10.1016/j.ijdrr.2022.103085
DO - 10.1016/j.ijdrr.2022.103085
M3 - Article
AN - SCOPUS:85132382700
SN - 2212-4209
VL - 77
JO - International Journal of Disaster Risk Reduction
JF - International Journal of Disaster Risk Reduction
M1 - 103085
ER -