Disaster Preparedness for Accepting Companion Animals in Urban Evacuation Shelters in Japan

Japan's disaster preparation has significantly enhanced over time, shaped by the country's history of frequent natural disasters. However, animals are often neglected in such situations. In this study, we conducted a questionnaire survey targeting evacuation shelters in the urban cities of Osaka, Kyoto, and Kobe. We aimed to investigate shelters' decisions to accept pets during a disaster, the factors that determine their decision, and if they accept pets, how they would accommodate them. Among the 205 respondents, most (51.7%) were undecided on whether they would accept pets. Our results suggested that concern for lack of space was the most important factor and that shelters with space concerns were 4.9 times more likely to reject pets compared to those with other concerns. Experience in sheltering evacuees during past disasters was partially important for decision-making. Furthermore, most shelters that accommodate pets typically would either keep them outside the facility or indoors in separate areas away from their owners. We propose that shelters treat pets and their owners based on the One Welfare approach, which promotes the idea that protecting animals would protect humans.

Authors

Institutions

Publication Details

Journal
Journal of Applied Animal Welfare Science
Published
2025-04-11
DOI
https://doi.org/10.1080/10888705.2025.2491533
Citations
1
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
1.15
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Disaster Preparedness for Accepting Companion Animals in Urban Evacuation Shelters in Japan

Hajime Tanida, Mitsu Motomura
1 citations
Journal of Applied Animal Welfare Science
Evacuation and Crowd Dynamics
1.15
article

Disaster Preparedness for Accepting Companion Animals in Urban Evacuation Shelters in Japan

Hajime Tanida, Mitsu Motomura
article en
1 citations

Abstract

Japan's disaster preparation has significantly enhanced over time, shaped by the country's history of frequent natural disasters. However, animals are often neglected in such situations. In this study, we conducted a questionnaire survey targeting evacuation shelters in the urban cities of Osaka, Kyoto, and Kobe. We aimed to investigate shelters' decisions to accept pets during a disaster, the factors that determine their decision, and if they accept pets, how they would accommodate them. Among the 205 respondents, most (51.7%) were undecided on whether they would accept pets. Our results suggested that concern for lack of space was the most important factor and that shelters with space concerns were 4.9 times more likely to reject pets compared to those with other concerns. Experience in sheltering evacuees during past disasters was partially important for decision-making. Furthermore, most shelters that accommodate pets typically would either keep them outside the facility or indoors in separate areas away from their owners. We propose that shelters treat pets and their owners based on the One Welfare approach, which promotes the idea that protecting animals would protect humans.

Journal of Applied Animal Welfare ScienceVol. 29(2)
Hiroshima University (JP), Osaka University of Economics (JP)
Climate action
Openalex Percentile: Top 25%
Evacuation and Crowd Dynamics
1.15
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.

Disaster Preparedness for Accepting Companion Animals in Urban Evacuation Shelters in Japan — Hajime Tanida, Mitsu Motomura · Journal of Applied Animal Welfare Science (2025) | TGRS Research Map | TGRS