10:45 AM - 12:15 PM
[HDS07-P02] Development of Data Management Tool for Building Damage Assessment Including Non-residential Houses at 2022 Fukushima-oki Earthquake
Keywords:Disaster Management Literacy, Life Reconstruction Support, Fukushima-oki Earthquake
In Japan, disasters have become more frequent and more severe in recent years. Once a disaster strikes, survivors lose their houses and other assets and must rebuild them. Local governments provide support services to survivors for rebuilding their lives through the Disaster Relief and Reconstruction Assistance Program. To apply for various support services, a certificate of disaster victimization is required. Affected municipalities are required to issue such certificates promptly and reliably. This certificate certifies the extent of damage to the "residence" where the disaster victim resides.
Municipalities manage the residences of residents using the Basic Resident Ledger. However, the support for rebuilding the lives of disaster survivors is premised on support based on the actual residential conditions of the disaster survivors. The actual residential conditions of disaster survivors do not necessarily match the information managed in the basic resident register. Therefore, local governments are required to issue disaster victim certificates after confirming the actual residential status of disaster survivors.
On the other hand, the degree of damage to the residence, which is necessary to issue a certificate of disaster, must be assessed based on the guidelines provided by the Cabinet Office of Japan. In particular, since this level of damage is certified as partial damage even in the case of slight damage, in the case of earthquake disasters, it is necessary to survey all houses without knowing where the damage has occurred. The number of such surveys is enormous for municipalities, and how to conduct them efficiently and reliably has become important.
In previous studies, efforts have been made to improve the efficiency of residential damage assessment surveys by simplifying survey methods and designing survey forms. However, in the field, it is difficult to determine whether a house is residential or non-residential (non-residential) because it is not always possible to check with residents onsite during the survey of each house. In addition, the support payment based on the livelihood reconstruction support system for disaster survivors only applies to residential houses, not to non-residential houses. From this perspective, non-residential houses should be excluded from the survey in order to seek efficiency. On the other hand, there is a possibility of property tax exemptions and other forms of assistance. Therefore, a minimum survey and data management for non-residential houses is necessary.
Based on the survey needs for non-residential houses, this study aims to propose a minimum method to efficiently conduct surveys for non-residential houses along with residential damage certification surveys, and to develop a data management system to effectively manage survey results for both residential and non-residential houses. We will apply the results of our previous research to residential houses, and develop a minimum survey method for non-residential houses based on feedback from the field.
Those survey method were implemented using the Fukushima earthquake that occurred in March 2022 as a case study. In this disaster, the survey was conducted not only by the staff of the affected local government but also by support staff. In this context, we conducted a survey based on the proposed methodology and verified whether the data could be used beneficially in issuing disaster victimization certificates. A system was designed and developed to integrate the different survey methods for residential and non-residential buildings and to manage the data in an integrated manner, and through the use of the system by surveyors, the data flow was confirmed to ensure reliable data management and accurate issuance of disaster certificates.
Municipalities manage the residences of residents using the Basic Resident Ledger. However, the support for rebuilding the lives of disaster survivors is premised on support based on the actual residential conditions of the disaster survivors. The actual residential conditions of disaster survivors do not necessarily match the information managed in the basic resident register. Therefore, local governments are required to issue disaster victim certificates after confirming the actual residential status of disaster survivors.
On the other hand, the degree of damage to the residence, which is necessary to issue a certificate of disaster, must be assessed based on the guidelines provided by the Cabinet Office of Japan. In particular, since this level of damage is certified as partial damage even in the case of slight damage, in the case of earthquake disasters, it is necessary to survey all houses without knowing where the damage has occurred. The number of such surveys is enormous for municipalities, and how to conduct them efficiently and reliably has become important.
In previous studies, efforts have been made to improve the efficiency of residential damage assessment surveys by simplifying survey methods and designing survey forms. However, in the field, it is difficult to determine whether a house is residential or non-residential (non-residential) because it is not always possible to check with residents onsite during the survey of each house. In addition, the support payment based on the livelihood reconstruction support system for disaster survivors only applies to residential houses, not to non-residential houses. From this perspective, non-residential houses should be excluded from the survey in order to seek efficiency. On the other hand, there is a possibility of property tax exemptions and other forms of assistance. Therefore, a minimum survey and data management for non-residential houses is necessary.
Based on the survey needs for non-residential houses, this study aims to propose a minimum method to efficiently conduct surveys for non-residential houses along with residential damage certification surveys, and to develop a data management system to effectively manage survey results for both residential and non-residential houses. We will apply the results of our previous research to residential houses, and develop a minimum survey method for non-residential houses based on feedback from the field.
Those survey method were implemented using the Fukushima earthquake that occurred in March 2022 as a case study. In this disaster, the survey was conducted not only by the staff of the affected local government but also by support staff. In this context, we conducted a survey based on the proposed methodology and verified whether the data could be used beneficially in issuing disaster victimization certificates. A system was designed and developed to integrate the different survey methods for residential and non-residential buildings and to manage the data in an integrated manner, and through the use of the system by surveyors, the data flow was confirmed to ensure reliable data management and accurate issuance of disaster certificates.