The article introduces a new way to predict how people move in cities, which is important for things like finding the best routes or preventing the spread of diseases. The researchers found that by considering not just the order of movements but also the context like time and types of places visited, they could make more accurate predictions. Their new method, called Context-Transition Predictability, outperformed existing prediction methods. This means that by including contextual information, we can better forecast where someone will go next in a city.