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Using Machine Learning to predict sociodemographic characteristics

18.05.2021 · Rafael Jordá
Aviation Real estate Retail & Geomarketing Smart cities Tourism Transport & Mobility Big Data Decision Trees Machine Learning Mobile Phone Data Random Forest
Using Machine Learning to predict sociodemographic characteristics

Mobile phone data has become a fundamental tool to extract the mobility patterns of the population. However, this data often lack reliable information about some of the main sociodemographic characteristics of the users. In this article we will explain how we deal with these limitations at Nommon by using machine learning techniques.

Transport models and mobile phone data

28.11.2019 · Luis Willumsen
Transport & Mobility Mobile Phone Data Mobility Insights Transport Models Trip Matrices
Transport models and mobile phone data
Not all mobile phone trip matrices are born the same [Part 6] Mobile phone data provides new opportunities for further research into travel behaviour and transport models that may provide a more solid ground for practical applications and more reliable forecasting. This can help to reduce costs and delays of travel data collection, and also to explore new forms of modelling and monitoring trends.
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