Agree or Disagree?

Big data, in general, is extremely valuable because it allows data to be collected from many sources and allows companies to find patterns that help their business operations. In transportation, in particiular, one way big data can help mitigate risk is that it can check for weather and traffic patterns. This can specifically apply to public transportation for an example. Lufthansa Industry Solutions says that big data can analyze bad weather, holidays, and malfunctions to forecast the amount of passengers trains will have, which helps with planning out operating procedures (Lufthansa, n.d.). Determining these types of patterns can help public transportation companies make decisions, such as departure times, what routes to plan, and how many trains, buses, etc. should be available for customers.

Another example could be that, for motor vehicles transporting goods, big data can help the transportation companies determine what highways to use and what the most traffic-heavy times are to properly plan out how long it will take a vehicle to transport goods and which routes are the best weather and safety-wise.

Business Wire says that another way big data mitigates transportation risks is that it can help find and analyze transportation issues quicker (Business Wire, 2018). If there are many several instances of the same or similar error, a pattern can be found that can help determine a core issue and find a solution quicker. It also helps determine which issues are more prominent than others.