TY - JOUR
T1 - Disaster risk reduction regime in japan
T2 - An analysis in the perspective of open data, open governance
AU - Kanbara, Sakiko
AU - Shaw, Rajib
N1 - Funding Information:
One of the key aspects of DRR 4.0 is the establishment of SIP4D (Shared Information Platform for Disaster Management) as a core unified platform for public-private data acquisition, sharing, analysis and distribution. SIP4D is one of the national projects established to realize science and technology innovation, led by the Council for Science, Technology and Innovation, Cabinet Office, with management that transcends the boundaries of government ministries and old fields. The SIP4D aims at coordinating among different government departments as well as the private sectors and civil society to enhance efficiency and reduce redundancy for disaster management [28]. Thus, the Digital Agency and Society 5.0 bring a new dimension and hope for the open governance in Japanese society, wherein disaster prevention and mitigation are specially recognized as a priority. The key features of DRR under Society 5.0 will be optimized information for evacuation, search and rescue, which will enhance its efficiency. Robotics play an important role in search and rescue when it is combined with the information provided by other emerging technologies, like drones and big data analysis through AI. Quick damage estimation is also one of the key future focus areas, which will be linked to rapid decision-making during the disaster event. The AI-based analysis will be helpful for evacuation, especially targetting the aged and vulnerable groups [29]. The use of drones will be useful for damage assessment as well as for rescue operations. Correspondingly, a new initiative has also been started, which is supported by the Council for Science, Technology and Innovation (CSTI) Cross-ministerial Strategic Innovation Promotion Program (SIP) “Enhancement of Social Resiliency against Natural Disasters” [30]. Based on the “sharing of related information (resilience information network)”, effective disaster relief is a major goal in protecting Japan from future large-scale natural disasters, securing peace of mind and safety, and promoting the international presence and industrial power of our country. Seven tasks are envisioned to contribute to the three areas of prediction (to foresee and identify disasters), prevention (to develop liquefaction countermeasure to withstand disasters), and response (to minimize damage when a disaster occurs). Focusing on prediction, prevention and response, the SIP program aims to promote a new paradigm shift of DRR 4.0 under Society 5.0. In regards to that, Ref. [31] has made the first attempt to link DRR and CCA under the Society 5.0, and has linked it to the key sectors identified as priority sectors under climate change adaptation plans.
Funding Information:
Funding: JSPS KAKENHI Grant Number JP 18H03120 to S.K. and Fukuzawa Research Fund from Keio University to R.S.
Funding Information:
Acknowledgments: The authors acknowledge the discussion with Naoya Sugimoto of Shizuoka prefecture and Shogo Numakura of Symmetry for their inputs on the contents of the case study. R.S. acknowledges support from the Fukuzawa Research Fund of Keio University. S.K. acknowledges support by JSPS KAKENHI.
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - This paper addresses open data, open governance, and disruptive/emerging technologies from the perspectives of disaster risk reduction (DRR). With an in-depth literature review of open governance, the paper identifies five principles for open data adopted in the disaster risk reduction field: (1) open by default, (2) accessible, licensed and documented, (3) co-created, (4) locally owned, and (5) communicated in ways that meet the needs of diverse users. The paper also analyzes the evolution of emerging technologies and their application in Japan. The four-phased evolution in the disaster risk reduction is mentioned as DRR 1.0 (Isewan typhoon, 1959), DRR 2.0 (the Great Hanshin Awaji Earthquake, 1995), DRR 3.0 (the Great East Japan Earthquake and Tsunami: GEJE, 2011) and DRR 4.0 (post GEJE). After the GEJE of 2011, different initiatives have emerged in open data, as well as collaboration/partnership with tech firms for emerging technologies in DRR. This paper analyzes the lessons from the July 2021 landslide in Atami, and draws some lessons based on the above-mentioned five principles. Some of the key lessons for open data movement include characterizing open and usable data, local governance systems, co-creating to co-delivering solutions, data democratization, and interpreting de-segregated data with community engagement. These lessons are useful for outside Japan in terms of data licensing, adaptive governance, stakeholder usage, and community engagement. However, as governance systems are rooted in local decision-making and cultural contexts, some of these lessons need to be customized based on the local conditions. Open governance is still an evolving culture in many countries, and open data is considered as an important tool for that. While there is a trend to develop open data for geo-spatial information, it emerged from the discussion in the paper that it is important to have customized open data for people, wellbeing, health care, and for keeping the balance of data privacy. The evolution of emerging technologies and their usage is proceeding at a higher speed than ever, while the governance system employed to support and use emerging technologies needs time to change and adapt. Therefore, it is very important to properly synchronize and customize open data, open governance and emerging/disruptive technologies for their effective use in disaster risk reduction.
AB - This paper addresses open data, open governance, and disruptive/emerging technologies from the perspectives of disaster risk reduction (DRR). With an in-depth literature review of open governance, the paper identifies five principles for open data adopted in the disaster risk reduction field: (1) open by default, (2) accessible, licensed and documented, (3) co-created, (4) locally owned, and (5) communicated in ways that meet the needs of diverse users. The paper also analyzes the evolution of emerging technologies and their application in Japan. The four-phased evolution in the disaster risk reduction is mentioned as DRR 1.0 (Isewan typhoon, 1959), DRR 2.0 (the Great Hanshin Awaji Earthquake, 1995), DRR 3.0 (the Great East Japan Earthquake and Tsunami: GEJE, 2011) and DRR 4.0 (post GEJE). After the GEJE of 2011, different initiatives have emerged in open data, as well as collaboration/partnership with tech firms for emerging technologies in DRR. This paper analyzes the lessons from the July 2021 landslide in Atami, and draws some lessons based on the above-mentioned five principles. Some of the key lessons for open data movement include characterizing open and usable data, local governance systems, co-creating to co-delivering solutions, data democratization, and interpreting de-segregated data with community engagement. These lessons are useful for outside Japan in terms of data licensing, adaptive governance, stakeholder usage, and community engagement. However, as governance systems are rooted in local decision-making and cultural contexts, some of these lessons need to be customized based on the local conditions. Open governance is still an evolving culture in many countries, and open data is considered as an important tool for that. While there is a trend to develop open data for geo-spatial information, it emerged from the discussion in the paper that it is important to have customized open data for people, wellbeing, health care, and for keeping the balance of data privacy. The evolution of emerging technologies and their usage is proceeding at a higher speed than ever, while the governance system employed to support and use emerging technologies needs time to change and adapt. Therefore, it is very important to properly synchronize and customize open data, open governance and emerging/disruptive technologies for their effective use in disaster risk reduction.
KW - Community engagement
KW - Emerging technologies
KW - Open data
KW - Open governance
KW - Partnership
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U2 - 10.3390/su14010019
DO - 10.3390/su14010019
M3 - Article
AN - SCOPUS:85121652196
SN - 2071-1050
VL - 14
JO - Sustainability
JF - Sustainability
IS - 1
M1 - 19
ER -