| Title |
A Study on the Characteristics of Domestic Temporary Residential Facilities and Resident Satisfaction |
| Authors |
이상희(Lee, Sang-Hee) ; 김봉애(Kim, Bong-Ae) |
| DOI |
https://doi.org/10.5659/JAIK.2023.39.2.71 |
| Keywords |
Temporary Residential Facilities; Emergency Shelters; Temporary Housing; Prefabricated Housing; Post Occupancy Evaluation |
| Abstract |
This study examines the characteristics of domestic temporary residential facilities by analyzing and evaluating its residential conditions of
temporary residential facilities provided during the 2019 wildfire in Goseong, Gangwon-do. Variables related to improving resident satisfaction
and hierarchy were identified. Data that can be used to support and operate temporary residential facilities in the event of a disaster was
provided. The research methodology included field surveys, questionnaires, and interviews. Samples were collected using snowball sampling
and analyzed using IBM SPSS Statistics v.24. The findings revealed that during the Goseong wildfire, government and corporate training
centers, and temporary residential facilities such as gymnasiums, senior centers, and village halls were provided as emergency shelters. This
is first case where the prefabricated housing budget was reflected in the government’s recovery plan. The government provided vacant
apartments nearby through rental arrangements with the families whose houses were destroyed. The government also provided prefabricated
housing free of charge. Existing private residential areas and prefabricated housing complexes where the houses were destroyed in the
wildfire were used as the sites for these prefabricated housing. The stages from the residents’ evacuation route immediately after the disaster
to their relocation to temporary residences and then restoration of the damaged housing included emergency evacuation such as short-term
residence or emergency shelters and temporary residence in temporary housing. Hierarchical regression analysis was performed to determine
the hierarchy among variables affecting satisfaction from prefabricated housing based on the variables derived from multiple regression
analysis. The result showed that indoor ventilation was the most influential variable, followed by the number of rooms and the time until the
provision of prefabricated housing. |