Leveraging insurance customer data to characterize socioeconomic indicators of Swiss municipalities.

ABSTRACT: 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 indicators of Swiss municipalities. First, we define a features space by aggregating at city-level individual customer data along several behavioral and user profile dimensions. Second, we collect official statistics shared by the Swiss authorities on a wide spectrum of categories: Population, Transportation, Work, Space and Territory, Housing, and Economy. Third, we adopt two spatial regression models exploring both global and local geographical dependencies to investigate their predictability. Resu

SUBMITTER: Donadio L 

PROVIDER: S-EPMC7928527 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature