AbstractThepurpose of the project is to analyze the connectivity of different airports in USAand how important are they in US airport network within and the overall world. Forour analysis we used the data from US Bureau of Transportation Statistics fromJan 2017 to May 2017 this dataset contains all flight routes. We used variousnetwork measures like Centrality, Hub-Scores, Authority-Scores, PageRank topredict the importance of the Airports in US domestic airport network. Alsotried to measure impact on other airports if some major airports were happenedto shut down for some reason like terrorist threats, bad weather or workerstrikes.
Finally, we also have some not so prominent airports being the key toattain a structural balance in the US Airport networks. IntroductionThenumber of airline passengers are increasing YOY drastically. In 2016, there are823 million passengers an all-time high with 719.
0M Domestic travelers and 103.9MInternational travelers. Out of these 85% of the airline passengers travelthrough approximately 10% of the airports.
This gives us the base that thereare some airports that needs to have high attention based on the current increasein the airline travelers. We wanted to test is the number of passengerstraveling is the only measure to know the importance of an Airport or should wealso check into other facts like how connected is the airport with otherdomestic or international airports. We started exploring data and found someinteresting facts that are presented in this report. Data-Set The Airport data is taken from US Bureau oftransportation statistics from Jan’2017 to May’2017. The data consists of 4main variables with 2,610 nodes and 64,204.1.
Origin Airport2. Destination Airport3. Number of Passengers4. Distance Between AirportsThe data contains all theflight routes between 2 airports. Each Airport is a node and the edge startsfrom the origin airport and ends at destination airport.
The edges hererepresent the flight routes from origin airport to destination airport. Theedges are weighted edges and weights are based on number of passengerstraveling in that route. Edge distance is proportional to the distance between2 airports. Top 5 Airports based on Hub-Score Rank Airport Score 1 O’Hare International-Illinois 0.0237 2 Hartsfield-Jackson-Georgia 0.0201 3 Denver-Colorado 0.0196 4 Philadelphia International-Pennsylvania 0.0178 5 Detroit Metro-Michigan 0.0171 Top 5 Airports based on Authority-Score Rank Airport Score 1 O’Hare International-Illinois 0.0235 2 Hartsfield-Jackson-Georgia 0.0209 3 Denver-Colorado 0.0193 4 Philadelphia International-Pennsylvania 0.0184 5 Charlotte Douglas-North Carolina 0.0172 Top 5 Airports based on PageRank Rank Airport Score 1 Denver-Colorado 0.0174 2 Ted Stevens-Alaska 0.0169 3 O’Hare International-Illinois 0.0151 4 Hartsfield-Jackson-Georgia 0.0147 5 Minneapolis-Minnesota 0.0129 Top 5 Airports based on Closeness Centrality Rank Airport Score 1 Denver-Colorado 0.4848 2 Ted Stevens-Alaska 0.4838 3 Memphis-Tennessee 0.4815 4 Minneapolis-Minnesota 0.4813 5 Hartsfield-Jackson-Georgia 0.4806 Top 5 Airports based on Betweenness Centrality Rank Airport Score 1 Ted Stevens-Alaska 0.3538 2 Seattle-Washington 0.0873 3 Denver-Colorado 0.0757 4 Fairbanks-Alaska 0.0684 5 Minneapolis-Minnesota 0.0456