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This paper focuses on probabilistic risk assessment of detached houses in Hino city of Tokyo, and analyses the probabilities that a detached house would be abandoned with respect to the categorical data of geographical and demographical condition. We use not only statistical survey data but field survey data since we thought that there must be unknown factors influencing the statistically observed data. The analysis shows that areas where are steep slopes and high percentages of the population who are elder that 65 have higher probabilistic risk calculated by generalized liner model with Poisson distribution, applying the integrated nested Laplacian approximation.

LOCAL DIFFERENCES IN PROBABILISTIC RISK ASSESSMENT OF ABANDONED DETACHED HOUSES