Framing: To what extent is nuclear power a resilient power source?
Focus: Did community behaviors in the wake of the Fukushima Daiichi nuclear meltdown reflect resiliency to nuclear power disaster? If so, how?
- Background
- Resilience
- Definition – (Benson and Craig 2014) and others
- Theory – Disaster Resilience? – (Wisner et. al. 2011)
- Risk association/communication
- Definition (TBD)
- Theories – (Jasanoff 1988) “Right-to-know” (RTK),
- Nuclear power
- Three major risks: waste, nuclear proliferation, technological disaster (radiation)
- Include brief key pros and cons
- Quick summary of Chernobyl and Three Mile Island (World Nuclear Association?)
- What happened
- Key takeaways from each disaster – what do they mean for current industry?
- Security and Trust? – is this relevant?
- Global NP industry built on foundation of secrecy and alternative motives
- Three major risks: waste, nuclear proliferation, technological disaster (radiation)
- Resilience
- Situated Context
- How did Japan start NP industry after bombing?
- Energy security and pro-nuclear resource discourse (Kinefuchi 2015) (Sato 2007)
- Nuclear culture – astro boy, etc. (Szasz 2007)
- Specifics of Fukushima Daiichi plant (World Nuclear Association)
- What type of plant, associated risks, information shared with public pre-disaster (Based on Jasanoff’s RTK framework)
- Why Japan? Why Fukushima – what happened in the triple disaster?
- Earthquake strength, maybe map of EQ location, range, etc., as well as map of tsunami inundation zone
- What Japan has that other country’s don’t
- Earthquake culture (yet maybe not yet with NP plants?)
- Large number of NP plants (3rd in world)
- Experience with Nuclear disaster of other kinds (bombings)
- How did Japan start NP industry after bombing?
- Methods
- Book analysis and news source coding
- First person stories, diary entries, community news vs. national/international news
- Refugee movement data – evacuation, resettlement, restoration
- GPS data, population census data
- Paired with radiation mapping
- Resettlement data numbers
- Twitter mapping??
- Local and global impressions of disaster, perhaps compared with just tsunami regions
- Book analysis and news source coding
- Results
- Resilience Profiles filled in using methods listed above
- Tsunami towns x2, Nuclear and Tsunami towns x2
- Resilience Profiles filled in using methods listed above
- Discussion
- Relate our results to background
- What does the resiliency profile tell us? – how can these profiles be implemented in other contexts?
- Conclusion
- Broader implications
- Further research
- What documentation is missing