Uploaded on 2016-12-22 by Andrew McGrath

This is a photo of the St. John’s International Airport. Some examples of the visible information in this photo are: taxis, street lights, access roads, parking lots, terminals and street signs. One “invisible information” that can be extracted from an airport is the purpose of travel of the passengers. Are they traveling for business? Are they traveling as tourists? Another “invisible information” that can be extracted is what ground transportation travelers use to go to and from the airport. Some options for transportation could be: driving and parking their car, rental car, cab, public transit, or being dropped off/picked up. Once this information is collected it can be analyzed to determine if the ground transportation network around the airport is currently optimized for the types of transportation people use. For instance, if a large volume of passengers are taking cabs to and from the airport, maybe the public transit network at the airport needs to be adjusted such that it is a more appealing alternative to getting a cab. As another example, if there is a large amount of people who get dropped off at the airport and there is congestion in the departures area, maybe the departures area needs more lanes or an adjustment to the passenger drop off system. All in all, the information about how people are traveling to and from the airport can be used to properly plan and adjust the ground transportation network around the airport thereby allowing passengers to move to and from the airport more smoothly and making this area more “livable”.