System and method for analyzing commuting metrics

• US 20140122164A1
• Filed: 10/28/2013
• Published: 05/01/2014
• Est. Priority Date: 10/28/2012
• Status: Abandoned Application

• Current Assignee: Swerp Incorporated
• Original Assignee: Swerp Incorporated
• Inventors: Lucara, Bonnie
• Application Number:
  US14/065,213
• Publication Number:
  US 20140122164A1
• Time in Patent Office: Days
• US Class Current: 705/7.28
• CPC Class Codes: G06Q 10/047 Optimisation of routes or paths, e.g. travelling salesman problem
• CPC Class Codes: G06Q 10/105 Human resources

Abstract

A system and method for analyzing commuting metrics. One exemplary embodiment includes a method that includes receiving, via a computer interface, location data for a set of locations associated with an entity, the location data including physical location data, the computer interface selected from at least one of a user interface or network communications interface; receiving commuter data for a set of commuters, the commuter data for each commuter from the set of commuters including commute start location data; determining a set of values of a commuting metric, each value from the set of values of the commuting metric being based on one of the physical location data and one of the commute start location data; and generating an electronic file including at least one of the set of values of the commuting metric.

Claims

1. A method comprising:

receiving, via a computer interface, location data for a plurality of locations associated with an entity, the location data including physical location data, the computer interface selected from at least one of a user interface or network communications interface;

receiving commuter data for a plurality of commuters, the commuter data for each commuter from the plurality of commuters including commute start location data;

determining a plurality of values of a commuting metric, each value from the plurality of values of the commuting metric being based on one of the physical location data and one of the commute start location data; and

generating an electronic file including at least one of the plurality of values of the commuting metric.

2. The method of claim 1, wherein the commuting metric is selected from at least one of a commute time, a commute distance, a commute expense, a fuel consumption, or an emissions generated.

3. The method of claim 1, wherein the plurality of values of the commuting metric includes:

a first potential commuting metric value associated with a first commuter and a first location, a second potential commuting metric value associated with the first commuter and a second location, a third potential commuting metric value associated with a second commuter and the first location, and a fourth potential commuting metric value associated with the second commuter and the second location.

4. The method of claim 3, further comprising:

comparing the first potential commuting metric to each of the second, third, and fourth potential commuting metrics to determine a first, second, and third comparison result, respectively;

comparing the second potential commuting metric to each of the third and fourth potential commuting metrics to determine a fourth and fifth comparison result, respectively;

comparing the third potential commuting metric to the fourth potential commuting metric to determine a sixth comparison result; and

generating ranking data for each respective comparison result,

the generating the electronic file includes writing the ranking data to the electronic file.

5. The method of claim 1, further comprising:

receiving an activation signal that includes an instruction to determine the plurality of values of the commuting metric.

6. The method of claim 5, wherein the activation signal includes a data source change indicator, the data source change indicator identifying at least one of location data that has changed and commuter data that has changed.

7. The method of claim 1, further comprising:

sending, via the network communications interface, the electronic file, the electronic file being generated in a markup language format.

8. A system comprising:

a server having a processor, a memory, and network communications interface, the server configured to;

receive, via the network communications interface, location data for a plurality of locations associated with an entity, the location data including physical location data;

receive commuter data for a plurality of commuters, the commuter data for each commuter from the plurality of commuters including commute start location data;

determine a plurality of values of a commuting metric, each value from the plurality of values of the commuting metric being based on one of the physical location data and one of the commute start location data; and

generate an electronic file including at least one of the plurality of values of the commuting metric.

9. The system of claim 8, wherein the commuting metric is selected from at least one of a commute time, a commute distance, a commute expense, a fuel consumption, or an emissions generated.

10. The system of claim 8, wherein the plurality of values of the commuting metric includes:

a first potential commuting metric value associated with a first commuter and a first location, a second potential commuting metric value associated with the first commuter and a second location, a third potential commuting metric value associated with a second commuter and the first location, and a fourth potential commuting metric value associated with the second commuter and the second location.

11. The system of claim 10, wherein the server is further configured to:

compare the first potential commuting metric to each of the second, third, and fourth potential commuting metrics to determine a first, second, and third comparison result, respectively;

compare the second potential commuting metric to each of the third and fourth potential commuting metrics to determine a fourth and fifth comparison result, respectively;

compare the third potential commuting metric to the fourth potential commuting metric to determine a sixth comparison result;

generate ranking data for each respective comparison result; and

write the ranking data to the electronic file.

12. The system of claim 8, wherein the server is further configured to:

receive an activation signal that includes an instruction to determine the plurality of values of the commuting metric.

13. The system of claim 12, wherein the activation signal includes a data source change indicator, the data source change indicator identifying at least one of location data that has changed and commuter data that has changed.

14. The system of claim 8, wherein the server is further configured to:

send, via the network communications interface, the electronic file; and

generate the electronic file in a markup language format.

15. A non-transitory processor-readable medium including instructions comprising instructions for:

receiving, via a computer interface, location data for a plurality of locations associated with an entity, the location data including physical location data, the computer interface selected from one of a user interface or network communications interface;

receiving commuter data for a plurality of commuters, the commuter data for each commuter from the plurality of commuters including commute start location data;

determining a plurality of values of a commuting metric, each value from the plurality of values of the commuting metric being based on one of the physical location data and one of the commute start location data; and

generating an electronic file including at least one of the plurality of values of the commuting metric.

16. The non-transitory, processor-readable medium of claim 15, wherein the commuting metric is selected from at least one of a commute time, a commute distance, a commute expense, a fuel consumption, or an emissions generated.

17. The non-transitory, processor-readable medium of claim 15, wherein the plurality of values of the commuting metric includes:

a first potential commuting metric value associated with a first commuter and a first location, a second potential commuting metric value associated with the first commuter and a second location, a third potential commuting metric value associated with a second commuter and the first location, and a fourth potential commuting metric value associated with the second commuter and the second location.

18. The non-transitory, processor-readable medium of claim 17, further comprising instructions for:

comparing the first potential commuting metric to each of the second, third, and fourth potential commuting metrics to determine a first, second, and third comparison result, respectively;

comparing the second potential commuting metric to each of the third and fourth potential commuting metrics to determine a fourth and fifth comparison result, respectively;

comparing the third potential commuting metric to the fourth potential commuting metric to determine a sixth comparison result; and

generating ranking data for each respective comparison result,

the generating the electronic file includes writing the ranking data to the electronic file.

19. The non-transitory, processor-readable medium of claim 15, further comprising instructions for:

receiving an activation signal that includes an instruction to determine the plurality of values of the commuting metric.

20. The non-transitory, processor-readable medium of claim 19, wherein the activation signal includes a data source change indicator, the data source change indicator identifying at least one of location data that has changed and commuter data that has changed.

21. The non-transitory, processor-readable medium of claim 15, further comprising instructions for:

sending, via the network communications interface, the electronic file, wherein the electronic file being generated in a markup language format.