Nommon | Blog

The least used station of Cercanías Madrid: San Yago

28.01.2022 · Javier Burrieza

Smart cities Transport & Mobility #LeastUsedStation Big Data Data Fusion Madrid Mobile Phone Data Public Transport

The least used station of Cercanías Madrid: San Yago

A look over the least used stations in Spanish commuter railways [Part 1]

Inspired by the brilliant videos from Geoff Marshall, we kick off a series of posts to look at the least used stations of the Spanish Renfe commuter railway systems, Cercanías Renfe. In this first article, we analyse the least used Madrid Renfe Cercanías stop: San Yago.

Using Machine Learning to predict sociodemographic characteristics

18.05.2021 · Manuel Álvarez

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

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.

Previous Next