Cargando…
Leveraging insurance customer data to characterize socioeconomic indicators of Swiss municipalities
The availability of reliable socioeconomic data is critical for the design of urban policies and the implementation of location-based services; however, often, their temporal and geographical coverage remain scarce. We explore the potential for insurance customers data to predict socioeconomic indic...
Autores principales: | Donadio, Lorenzo, Schifanella, Rossano, Binder, Claudia R., Massaro, Emanuele |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7928527/ https://www.ncbi.nlm.nih.gov/pubmed/33657089 http://dx.doi.org/10.1371/journal.pone.0246785 |
Ejemplares similares
-
High spatial resolution dataset of La Mobilière insurance customers
por: Battiston, Alice, et al.
Publicado: (2022) -
Combining environmental and socioeconomic data to understand determinants of conflicts in Colombia
por: Fiandrino, Stefania, et al.
Publicado: (2023) -
Spatial heterogeneity and socioeconomic determinants of opioid prescribing in England between 2015 and 2018
por: Schifanella, Rossano, et al.
Publicado: (2020) -
Author Correction: Spatially-optimized urban greening for reduction of population exposure to land surface temperature extremes
por: Massaro, Emanuele, et al.
Publicado: (2023) -
Spatially-optimized urban greening for reduction of population exposure to land surface temperature extremes
por: Massaro, Emanuele, et al.
Publicado: (2023)