SYSTEMS AND METHODS FOR PROVIDING LOCATION-BASED DATA ANALYTICS

1 . A computer-implemented method comprising:

identifying, by a computing system, a set of users of a transportation system;

determining, by the computing system, a set of user social network profiles on a social networking system associated with the set of users, each of the user social network profiles associated with user social network information;

recording, by the computing system, user location information for the set of users wherein at least a portion of the user location information is determined from the user social network information;

grouping, by the computing system, the set of users into a plurality of groups based on frequency of usage of the transportation system; and

revising, by the computing system, the transportation system based on the user location information and the plurality of groups.

2 . The computer-implemented method of claim 1 , wherein revising the transportation system comprises revising one or more transportation system stops.

3 . The computer-implemented method of claim 2 , wherein revising one or more transportation system stops comprises revising one or more transportation system stops such that a percentage of the set of users reside within a maximum distance of a transportation system stop.

4 . The computer-implemented method of claim 1 , wherein revising the transportation system comprises revising one or more transportation system routes.

5 . The computer-implemented method of claim 4 , wherein revising one or more transportation system routes comprises revising one or more transportation system routes such that a percentage of the set of users have an average commute time less than a maximum commute time.

6 . The computer-implemented method of claim 1 , further comprising determining user travel patterns based on the user location information.

7 . The computer-implemented method of claim 1 , wherein the user location information is recorded by the social networking system.

8 . The computer-implemented method of claim 1 , further comprising determining peak periods for the transportation system based on the user location information.

9 . (canceled)

10 . (canceled)

11 . A system comprising:

at least one processor; and

a memory storing instructions that, when executed by the at least one processor, cause the system to perform a method comprising:

identifying a set of users of a transportation system;

determining a set of user social network profiles on a social networking system associated with the set of users, each of the user social network profiles associated with user social network information;

recording user location information for the set of users, wherein at least a portion of the user location information is determined from the user social network information;

grouping the set of users into a plurality of groups based on frequency of usage of the transportation system; and

revising the transportation system based on the user location information and the plurality of groups.

12 . The system of claim 11 , wherein revising the transportation system comprises revising one or more transportation system stops.

13 . The system of claim 12 , wherein revising one or more transportation system stops comprises revising one or more transportation system stops such that a percentage of the set of users reside within a maximum distance of a transportation system stop.

14 . The system of claim 11 , wherein revising the transportation system comprises revising one or more transportation system routes.

15 . The system of claim 14 , wherein revising one or more transportation system routes comprises revising one or more transportation system routes such that a percentage of the set of users have an average commute time less than a maximum commute time.

16 . A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system, cause the computing system to perform a method comprising:

identifying a set of users of a transportation system;

determining a set of user social network profiles on a social networking system associated with the set of users, each of the user social network profiles associated with user social network information;

recording user location information for the set of users, wherein at least a portion of the user location information is determined from the user social network information;

grouping the set of users into a plurality of groups based on frequency of usage of the transportation system; and

revising the transportation system based on the user location information and the plurality of groups.

17 . The non-transitory computer-readable storage medium of claim 16 , wherein revising the transportation system comprises revising one or more transportation system stops.

18 . The non-transitory computer-readable storage medium of claim 17 , wherein revising one or more transportation system stops comprises revising one or more transportation system stops such that a percentage of the set of users reside within a maximum distance of a transportation system stop.

19 . The non-transitory computer-readable storage medium of claim 16 , wherein revising the transportation system comprises revising one or more transportation system routes. information.

20 . The non-transitory computer-readable storage medium of claim 19 , wherein revising one or more transportation system routes comprises revising one or more transportation system routes based on the user that a percentage of the set of users have an average commute time less than a maximum commute time.

21 . The computer-implemented method of claim 1 , wherein the grouping the set of users into a plurality of groups based on frequency of usage of the transportation system comprises determining, for each user of the set of users, a frequency of usage of the transportation system based on user location information associated with the user.