How can data analytics enhance bus services?
Data analytics can optimize routes, improve schedules, and enhance passenger experience by analyzing travel patterns.
What kind of data should be collected for this analysis?
Key data includes passenger counts, travel times, route efficiency, and customer feedback.
How can this data lead to better customer satisfaction?
By understanding passenger needs, services can be tailored to reduce wait times and improve reliability.
Are there any real-world examples of this in action?
Yes, cities like London and New York use data analytics to adjust bus services based on real-time demand.
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