: We provide geographic information system (GIS) data and a multimodal dataset from a systematic infrastructure vulnerability assessment in the urban road networks of Turin and Naples, Italy. The seismic typologies of the relevant structural objects (SOs), including bridges, buildings, and roads, were evaluated using digital elevation models (DEMs) and satellite data. The presented GIS data are essential for visualizing and spatially interconnecting SOs; this enables network modeling as a complex system within the Spatial Data Infrastructure (SDI) portfolio of interest. The dataset also includes landslide characteristics from Geoportale Piemonte and the GeoNetwork catalog. Potential applications include resilience analysis, seismic risk assessment, emergency response planning, and post-disaster recovery estimations. Moreover, the dataset helps investigate the interplay between structural vulnerability and geohazards like landslides, heavy rainfall, and earthquakes. Notably, it is particularly relevant for research on urban networks as complex systems, where SDIs assess transportation efficiency and functionality in both pre- and post-event scenarios.
Seismic resilience of urban networks: dataset for infrastructure visualization and vulnerability assessment
Miano, Andrea;
2025-01-01
Abstract
: We provide geographic information system (GIS) data and a multimodal dataset from a systematic infrastructure vulnerability assessment in the urban road networks of Turin and Naples, Italy. The seismic typologies of the relevant structural objects (SOs), including bridges, buildings, and roads, were evaluated using digital elevation models (DEMs) and satellite data. The presented GIS data are essential for visualizing and spatially interconnecting SOs; this enables network modeling as a complex system within the Spatial Data Infrastructure (SDI) portfolio of interest. The dataset also includes landslide characteristics from Geoportale Piemonte and the GeoNetwork catalog. Potential applications include resilience analysis, seismic risk assessment, emergency response planning, and post-disaster recovery estimations. Moreover, the dataset helps investigate the interplay between structural vulnerability and geohazards like landslides, heavy rainfall, and earthquakes. Notably, it is particularly relevant for research on urban networks as complex systems, where SDIs assess transportation efficiency and functionality in both pre- and post-event scenarios.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
