The number of people residing in cities continues to grow at an unprecedented rate. This rapid urbanisation is causing pollution exposure levels to exceed recommended limits. How can we address this challenge? The first step is to truly understand its impact. Dynamic data sources, such as mobile network data, enable us to accurately measure how this pollution affects the population, empowering us to design effective public policies for healthier, more sustainable cities.

A look over the least used stations in Spanish commuter railways [Part 2]

Transport planners often struggle to solve bottlenecks in saturated networks. However, sometimes the challenge is to understand why certain transport services remain underutilised. Our curiosity about travel behaviour led us to combine mobile network data, ticketing data and survey data to explore what is behind the limited passenger flow of the least used stations in the Spanish commuter railway network. On this occassion, we look at the least used station of Barcelona’s commuter railway system: Borgonyà.

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.