11:30 AM - 11:45 AM
[HDS07-09] Trend Analysis of Consultation Contexts based on Response Records of Life Reconstruction Support for Survivors
Keywords:Life Reconstruction Support, Chuetsu-oki Earthquake, Co-occurrence Network Analysis
Once a disaster occurs, victims lose various property even if their lives are guaranteed. In response, disaster victims must carry out activities related to life reconstruction. However, although there are a wide variety of support measures for life reconstruction after a disaster, each victim does not know which support they can apply for and how much support they will receive. For this reason, affected local governments have set up "comprehensive consultation desks for rebuilding their lives" to respond to inquiries from disaster victims. This life reconstruction comprehensive consultation service is not carried out in normal times, but is carried out for the first time after a disaster, and the amount of work involved is enormous. When local governments affected by the disaster consider how to improve the efficiency of their operations, it is essential to disseminate information and strengthen knowledge based on the content of consultations from disaster victims.
In this research, we analyze the response record recorded at the consultation desk and the documented data of the issues, taking the response of Kashiwazaki City to the 2007 Niigata Prefecture Chuetsu-oki Earthquake as an case study. In addition, we will identify the characteristics of the victims based on the status of subsequent support applications, and conduct basic analysis that contributes to the prediction of support.
In the Niigata-ken Chuetsu-oki earthquake that occurred in July 2007, 1,121 houses were completely destroyed and 4,583 houses were partially destroyed. Many of the victims suffered damage in their homes, and were forced to rebuild their lives over the long term. The city of Kashiwazaki established a reconstruction support office and opened a dedicated consultation desk for rebuilding lives. In particular, we conducted continuous consultations for temporary housing residents and households whose houses had been completely destroyed, and recorded them.
Therefore, we focused on the nouns that occur in each sentence and performed co-occurrence network analysis on the recorded data to clarify their tendencies. Specifically, we extracted 8,178 sentences from 780 corresponding records, and extracted 6,293 kinds of nouns, totaling 10,1436 nouns. By analyzing the co-occurrence states of these nouns in each sentence, we grasped the strong connections between nouns and clarified the trends in the overall consultation content. As a result, in addition to inquiries about reconstruction support measures and reconstruction consultations, there was a strong co-occurrence of consultations on moving out of temporary housing, consultations on contractors and construction work related to rebuilding buildings, and further consultations on requests to move into public housing. rice field. In other words, in order to promote the reconstruction of victims, it became clear that it is necessary to present information on how the reconstruction of houses should be and the subsequent policy.
On the other hand, there is also a method of choosing emergency housing repair as a method of rebuilding a house. For emergency housing repairs, the areas to be repaired and the amount to be paid are determined, so the amount of support is not necessarily the cost necessary for the reconstruction of the victims. Therefore, it is not possible to ascertain the amount of expenses required by the disaster victims only from the actual payment records. Therefore, although the type of disaster is different, we analyzed Sekikawa Village in Niigata Prefecture during the heavy rain in August 2023 as a case study. The reason for selecting this case is that the estimate required for repairs was attached at the time of application. A multiple regression analysis was conducted using explanatory variables such as personal attributes, household composition, and degree of damage to houses, and it became clear that households with infants tended to have higher repair costs.
In this research, we analyze the response record recorded at the consultation desk and the documented data of the issues, taking the response of Kashiwazaki City to the 2007 Niigata Prefecture Chuetsu-oki Earthquake as an case study. In addition, we will identify the characteristics of the victims based on the status of subsequent support applications, and conduct basic analysis that contributes to the prediction of support.
In the Niigata-ken Chuetsu-oki earthquake that occurred in July 2007, 1,121 houses were completely destroyed and 4,583 houses were partially destroyed. Many of the victims suffered damage in their homes, and were forced to rebuild their lives over the long term. The city of Kashiwazaki established a reconstruction support office and opened a dedicated consultation desk for rebuilding lives. In particular, we conducted continuous consultations for temporary housing residents and households whose houses had been completely destroyed, and recorded them.
Therefore, we focused on the nouns that occur in each sentence and performed co-occurrence network analysis on the recorded data to clarify their tendencies. Specifically, we extracted 8,178 sentences from 780 corresponding records, and extracted 6,293 kinds of nouns, totaling 10,1436 nouns. By analyzing the co-occurrence states of these nouns in each sentence, we grasped the strong connections between nouns and clarified the trends in the overall consultation content. As a result, in addition to inquiries about reconstruction support measures and reconstruction consultations, there was a strong co-occurrence of consultations on moving out of temporary housing, consultations on contractors and construction work related to rebuilding buildings, and further consultations on requests to move into public housing. rice field. In other words, in order to promote the reconstruction of victims, it became clear that it is necessary to present information on how the reconstruction of houses should be and the subsequent policy.
On the other hand, there is also a method of choosing emergency housing repair as a method of rebuilding a house. For emergency housing repairs, the areas to be repaired and the amount to be paid are determined, so the amount of support is not necessarily the cost necessary for the reconstruction of the victims. Therefore, it is not possible to ascertain the amount of expenses required by the disaster victims only from the actual payment records. Therefore, although the type of disaster is different, we analyzed Sekikawa Village in Niigata Prefecture during the heavy rain in August 2023 as a case study. The reason for selecting this case is that the estimate required for repairs was attached at the time of application. A multiple regression analysis was conducted using explanatory variables such as personal attributes, household composition, and degree of damage to houses, and it became clear that households with infants tended to have higher repair costs.