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J Keij

Datos Biográficos

ID11060064
NOMBREJ Keij
NOMBRESJ
APELLIDOKeij
FIRMAKEIJ J
AFILIACIONESMezuro, Weesp, Netherlands
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2018
AÑO MÁS RECIENTE DE PUBLICACIÓN2018
ÍNDICE H0
  • Improving A Priori Demand Estimates Transport Models using Mobile Phone Data

    Luc Johannes Josephus Wismans, K Friso et al.•ARTICLE•Journal of Urban Technology•2018

    Mobile phone data are a rich source to infer all kinds of mobility- related information. In this research, we present an approach where mobile phone data are used and analyzed for enriching the transport model of the region of Rotterdam. In this research Call Detail Records (CDR) are used from a mobile phone provider in the Netherlands that serves between 30 and 40 percent of Dutch mobile phones. Accessing these data provides travel information o…

Sin obras prominentes en esta página.

  • Improving A Priori Demand Estimates Transport Models using Mobile Phone Data

    Luc Johannes Josephus Wismans, K Friso et al.•ARTICLE•Journal of Urban Technology•2018

    Mobile phone data are a rich source to infer all kinds of mobility- related information. In this research, we present an approach where mobile phone data are used and analyzed for enriching the transport model of the region of Rotterdam. In this research Call Detail Records (CDR) are used from a mobile phone provider in the Netherlands that serves between 30 and 40 percent of Dutch mobile phones. Accessing these data provides travel information o…

A priori and a posteriori (1 obra) · Computer Science (1 obra) · Engineering (1 obra) · Geography (1 obra) · Human Mobility and Location-Based Analysis (1 obra) · Mobile phone (1 obra) · Phone (1 obra) · Population (1 obra) · Raw data (1 obra) · Telecommunications (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae