Residents use a transit mobile app that writes every trip-plan request to backend logs. Which Big Data source class is that interaction?
Select an answer to reveal the explanation.
Short Explanation
Thumbs on an app are humans poking a machine. The logs are the machine’s memory of those taps. That is person-to-machine source data for transit analytics.
Full Explanation
Person-to-machine sources arise when people interact with systems that record events—apps, portals, and kiosks. Trip-plan requests logged by a transit app fit that class. They are not M2M (no human) nor P2P conversations between people. Classifying correctly helps cities design collection, retention, and application patterns.