SPATIAL EXTRACTION METHOD OF PAVEMENT DETERIORATION POINTS FOR REPAIR TRIAGE ON RESIDENTIAL ROADS

Abstract

In this study, we have developed a spatial extraction method for pavement deterioration points in consideration of neighboring residents and repair efficiency for residential roads. Specifically, using data from pavement inspections and housing locations, we conducted to prioritize repair targets based on the pavement crack rate and the spatial distribution of houses. First, using pavement inspection data, it was clarified that the crack ratio has a positive spatial autocorrelation. Next, we introduced the degree of repair necessity considering the proximity of the house, and proposed the diagnostic criteria of priority based on the relationship with the space lag of the crack rate. We applied this method to actual roads and confirmed that areas where pavement deterioration points are gathered are prioritized for repair target. Furthermore, it was shown that the larger the total floor area of neighboring houses, the more the priority points are integrated. If priority points can be extracted spatially in this way, it will contribute to improving the service level for residents, improving the efficiency of repairs, and reducing costs.