Female migrants into Fukushima: A qualitative approach to their migration-support needs after the nuclear accident

We aimed to examine the support needs of women who migrated to Fukushima Prefecture after the Fukushima Daiichi Nuclear Power Plant accident. In recent years, the presence of migrants has become an important part of the government's reconstruction policy for affected areas. However, there is insufficient research on the status of migrants in these areas, and it is unclear what kind of support the migrants, especially females, require to encourage further migration to the area. We conducted three semi-structured interviews each with four women who had migrated to Fukushima after the accident. The narratives obtained from the interviews were summarized into categories through open coding and were finally presented as support needs in the form of a four-quadrant diagram. Four needs were identified for female migrants in areas affected by the radiation disaster: "soft adaptation needs," "lifestyle constancy needs," "female empowerment needs," and "community participation needs." Female migrants in the affected areas may be marginalized in terms of receiving migrant support. Key strategies for supporting female migrants in radiation disaster areas include providing an environment in which they can relax, interact with Fukushima and its residents, and address intersectionality.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2024-08-16
DOI
https://doi.org/10.1371/journal.pone.0309013
Citations
3
Primary Topic
Risk Perception and Management
Type
article
Field-Weighted Citation Impact
3.40

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Female migrants into Fukushima: A qualitative approach to their migration-support needs after the nuclear accident

Akemi Kobayashi, Tomoo Hidaka, Tomoyuki Kobayashi, Masaharu Maeda et al.
3 citations
PLoS ONE
Risk Perception and Management
3.40
article

Female migrants into Fukushima: A qualitative approach to their migration-support needs after the nuclear accident

Akemi Kobayashi, Tomoo Hidaka, Tomoyuki Kobayashi, Masaharu Maeda, Rie Mizuki
article en
3 citations

Abstract

We aimed to examine the support needs of women who migrated to Fukushima Prefecture after the Fukushima Daiichi Nuclear Power Plant accident. In recent years, the presence of migrants has become an important part of the government's reconstruction policy for affected areas. However, there is insufficient research on the status of migrants in these areas, and it is unclear what kind of support the migrants, especially females, require to encourage further migration to the area. We conducted three semi-structured interviews each with four women who had migrated to Fukushima after the accident. The narratives obtained from the interviews were summarized into categories through open coding and were finally presented as support needs in the form of a four-quadrant diagram. Four needs were identified for female migrants in areas affected by the radiation disaster: "soft adaptation needs," "lifestyle constancy needs," "female empowerment needs," and "community participation needs." Female migrants in the affected areas may be marginalized in terms of receiving migrant support. Key strategies for supporting female migrants in radiation disaster areas include providing an environment in which they can relax, interact with Fukushima and its residents, and address intersectionality.

PLoS ONEVol. 19(8)
Fukushima Medical University (JP)
Ministry of the Environment, Government of Japan
Openalex Percentile: Top 7%
Risk Perception and Management
3.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.