ArticleScientific data2025
Seismic resilience of urban networks: dataset for infrastructure visualization and vulnerability assessment.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- Seismic resilience of urban networks: dataset for infrastructure visualization and vulnerability assessment.Scientific data · 2025Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.