Travel data that is often discarded can actually be very useful for predicting how people will respond to changes like fuel prices or public transport fares. By analyzing this data, researchers can create models that accurately estimate individual travel choices. This can help improve transportation planning and understand who uses public transport and why. Additionally, analyzing this data can reveal patterns in people's activities based on their demographics and socio-economic status.