APPARATUS, METHOD, AND COMPUTER PROGRAM PRODUCT FOR TRANSIT POOLING USING PAYMENT CARD DATA

• US 20150213474A1
• Filed: 01/27/2014
• Published: 07/30/2015
• Est. Priority Date: 01/27/2014
• Status: Abandoned Application

• Current Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Original Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Inventors: Howe, Justin Xavier
• Application Number:
  US14/164,599
• Publication Number:
  US 20150213474A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 20/3224 Transactions dependent on location of M-devices
• CPC Class Codes: G06Q 20/4016 involving fraud or risk level assessment in transaction processing
• CPC Class Codes: G06Q 20/405 Establishing or using transaction specific rules
• CPC Class Codes: G06Q 30/0222 During e-commerce, i.e. online transactions

Abstract

Using payment card transaction data, residence locations are estimated for a plurality of payment card holders and recurrent destinations are estimated for at least a first portion of the plurality of payment card holders. A plurality of pooled transit pick-up points are identified in a geographic region of interest. Each of at least a second portion of the payment card holders are assigned to at least one of the pooled transit pick-up points. At least some of the payment card holders assigned to at least one of the pick-up points are identified as potential riders of a pooled transit service

Claims

1. A method comprising the steps of:

using payment card transaction data, estimating residence locations for a plurality of payment card holders;

using payment card transaction data, estimating recurrent destinations for at least a first portion of said plurality of payment card holders;

identifying a plurality of pooled transit pick-up points in a geographic region of interest;

assigning each of at least a second portion of said payment card holders to at least one of said pooled transit pick-up points; and

identifying at least some of said payment card holders assigned to at least one of said pick-up points as potential riders of a pooled transit service.

2. The method of claim 1, further comprising offering said pooled transit service to said at least some of said payment card holders assigned to said at least one of said pick-up points.

3. The method of claim 2, wherein, in said offering step, said offering comprises offering said pooled transit service to less than all of said payment card holders assigned to said at least one of said pick-up points, further comprising targeting a subset of all of said payment card holders assigned to said at least one of said pick-up points to receive said offering.

4. The method of claim 3, wherein said targeting comprises targeting based on at least one of estimated current commuting time and estimated current commuting expense.

5. The method of claim 3, wherein said targeting comprises targeting based on affordability.

6. The method of claim 2, further comprising:

for at least one of said pooled transit pick-up points not having sufficient interested cardholders to justify said pooled transit service, examining a route, from said at least one of said pooled transit pick-up points not having sufficient interested cardholders, to a common recurring destination, for at least one other of said pooled transit pick-up points located close to said route; and

offering said pooled transit service to at least some of said payment card holders assigned to said at least one other of said pooled transit pick-up points located close to said route.

7. The method of claim 6, further comprising, for at least one of said pooled transit pick-up points not having sufficient interested cardholders to justify said pooled transit service even after said offering of said pooled transit service to said at least some of said payment card holders assigned to said at least one other of said pooled transit pick-up points located close to said route, combining said route with another route to another recurring destination, close to but different from said common recurring destination.

8. The method of claim 7, wherein said combining is carried out by searching routes to recurring destinations other than said common recurring destination in order from closest to furthest until there are sufficient interested cardholders to justify said pooled transit service.

9. The method of claim 2, further comprising, for at least one of said pooled transit pick-up points not having sufficient interested cardholders to justify said pooled transit service even after said offering of said pooled transit service to said at least some of said payment card holders assigned to said at least one other of said pooled transit pick-up points located close to said route, combining said route with another route to another recurring destination, close to but different from said common recurring destination.

10. The method of claim 9, wherein said combining is carried out by searching routes to recurring destinations other than said common recurring destination in order from closest to furthest until there are sufficient interested cardholders to justify said pooled transit service.

11. The method of claim 2, wherein said step of estimating said residence locations for said plurality of payment card holders using said payment card transaction data comprises taking a geocentroid of evening and weekend purchases of domestic-related items.

12. The method of claim 2, wherein said step of estimating said recurring destinations for said plurality of payment card holders using said payment card transaction data comprises identifying at least one frequent mid-week-day spending location.

13. The method of claim 2, wherein said step of assigning each of said at least second portion of said payment card holders to at least one of said pooled transit pick-up points comprises conducting a buffer operation with a geographic information system.

14. The method of claim 1, further comprising providing a system, wherein the system comprises:

(i) at least one distinct software module embodied on a non-transitory computer-readable storage medium, (ii) a non-transitory geographic database, (iii) a non-transitory transaction database including said payment card transaction data, and (iv) a non-transitory consumer database; and

wherein the at least one distinct software module comprises a database management system module;

wherein;

said estimating of said residence locations is carried out by said database management system module, executing on at least one hardware processor, querying said geographic database, said transaction database, and said consumer database;

said estimating of said recurrent destinations for at least said first portion of said plurality of payment card holders is carried out by said database management system module, executing on said at least one hardware processor, querying said geographic database, said transaction database, and said consumer database;

said identifying of said plurality of pooled transit pick-up points in said geographic region of interest is carried out at least by said database management system module, executing on said at least one hardware processor, querying said geographic database and said consumer database;

said assigning of each of said at least second portion of said payment card holders to said at least one of said pooled transit pick-up points is carried out at least by said database management system module, executing on said at least one hardware processor, querying said geographic database and said consumer database; and

said identifying of said at least some of said payment card holders assigned to said at least one of said pick-up points as potential riders of said pooled transit service is carried out at least by said database management system module, executing on said at least one hardware processor, querying said geographic database and said consumer database.

15. A system comprising:

a memory;

at least one processor operatively coupled to said memory; and

a persistent storage device operatively coupled to said memory and storing in a non-transitory manner instructions which when loaded into said memory cause said at least one processor to be operative to;

using payment card transaction data, estimate residence locations for a plurality of payment card holders;

using payment card transaction data, estimate recurrent destinations for at least a first portion of said plurality of payment card holders;

identify a plurality of pooled transit pick-up points in a geographic region of interest;

assign each of at least a second portion of said payment card holders to at least one of said pooled transit pick-up points; and

identify at least some of said payment card holders assigned to at least one of said pick-up points as potential riders of a pooled transit service.

16. The system of claim 15, wherein said persistent storage device further stores in a non-transitory manner instructions which when loaded into said memory cause said at least one processor to be operative to facilitate offering said pooled transit service to said at least some of said payment card holders assigned to said at least one of said pick-up points.

17. The system of claim 16, wherein said offering comprises offering said pooled transit service to less than all of said payment card holders assigned to said at least one of said pick-up points, and wherein said persistent storage device further stores in a non-transitory manner instructions which when loaded into said memory cause said at least one processor to be operative to target a subset of all of said payment card holders assigned to said at least one of said pick-up points to receive said offering.

18. The system of claim 16, wherein said persistent storage device further stores in a non-transitory manner instructions which when loaded into said memory cause said at least one processor to be operative to:

for at least one of said pooled transit pick-up points not having sufficient interested cardholders to justify said pooled transit service, examine a route, from said at least one of said pooled transit pick-up points not having sufficient interested cardholders, to a common recurring destination, for at least one other of said pooled transit pick-up points located close to said route; and

offer said pooled transit service to at least some of said payment card holders assigned to said at least one other of said pooled transit pick-up points located close to said route.

19. The system of claim 18, wherein said persistent storage device further stores in a non-transitory manner instructions which when loaded into said memory cause said at least one processor to be operative to, for at least one of said pooled transit pick-up points not having sufficient interested cardholders to justify said pooled transit service even after said offering of said pooled transit service to said at least some of said payment card holders assigned to said at least one other of said pooled transit pick-up points located close to said route, combine said route with another route to another recurring destination, close to but different from said common recurring destination.

20. The system of claim 19, wherein said combining is carried out by searching routes to recurring destinations other than said common recurring destination in order from closest to furthest until there are sufficient interested cardholders to justify said pooled transit service.

21. The system of claim 16, wherein said persistent storage device further stores in a non-transitory manner instructions which when loaded into said memory cause said at least one processor to be operative to, for at least one of said pooled transit pick-up points not having sufficient interested cardholders to justify said pooled transit service even after said offering of said pooled transit service to said at least some of said payment card holders assigned to said at least one other of said pooled transit pick-up points located close to said route, combine said route with another route to another recurring destination, close to but different from said common recurring destination.

22. The system of claim 21, wherein said combining is carried out by searching routes to recurring destinations other than said common recurring destination in order from closest to furthest until there are sufficient interested cardholders to justify said pooled transit service.

23. The system of claim 15, wherein said instructions on said persistent storage device comprise at least one distinct software module, and wherein said distinct software modules comprise a database management system module module;

further comprising;

a non-transitory geographic database;

a non-transitory transaction database including said payment card transaction data; and

a non-transitory consumer database;

wherein;

said database management system module comprises said instructions which cause said at least one processor to estimate said residence locations, by querying said geographic database, said transaction database, and said consumer database;

said database management system module comprises said instructions which cause said at least one processor to estimate said recurrent destinations for at least said first portion of said plurality of payment card holders, by querying said geographic database, said transaction database, and said consumer database;

said database management system module comprises at least a portion of said instructions which cause said at least one processor to identify said plurality of pooled transit pick-up points in said geographic region of interest, by querying said geographic database and said consumer database;

said database management system module comprises at least a portion of said instructions which cause said at least one processor to assign each of said at least second portion of said payment card holders to said at least one of said pooled transit pick-up points, by querying said geographic database and said consumer database; and

said database management system module comprises at least a portion of said instructions which cause said at least one processor to identify said at least some of said payment card holders assigned to said at least one of said pick-up points as potential riders of said pooled transit service, by querying said geographic database and said consumer database.

24. An apparatus comprising:

means for, using payment card transaction data, estimating residence locations for a plurality of payment card holders;

means for, using payment card transaction data, estimating recurrent destinations for at least a first portion of said plurality of payment card holders;

means for identifying a plurality of pooled transit pick-up points in a geographic region of interest;

means for assigning each of at least a second portion of said payment card holders to at least one of said pooled transit pick-up points; and

means for identifying at least some of said payment card holders assigned to at least one of said pick-up points as potential riders of a pooled transit service.

25. An article of manufacture comprising a computer program product, said computer program product comprising:

a tangible computer-readable recordable storage medium, storing in a non-transitory manner computer readable program code which, when loaded into a memory, configures at least one associated processor to be operative to;

using payment card transaction data, estimate residence locations for a plurality of payment card holders;

using payment card transaction data, estimate recurrent destinations for at least a first portion of said plurality of payment card holders;

identify a plurality of pooled transit pick-up points in a geographic region of interest;

assign each of at least a second portion of said payment card holders to at least one of said pooled transit pick-up points; and

identify at least some of said payment card holders assigned to at least one of said pick-up points as potential riders of a pooled transit service.