Using spatial analysis for monitoring fraud in a public delivery program

Yushim Kim

doi:10.1177/0894439307299650

Using spatial analysis for monitoring fraud in a public delivery program

Yushim Kim

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

In this article, fraud in public delivery programs is approached using spatial analysis. By examining welfare recipients' consumer behaviors in a spatial framework, it is possible to identify stores that draw an anomalous clientele, such as those who travel long distances and avoid stores in their local area, indicating that these stores may be committing fraud. This article shows how this idea can be operationalized for monitoring fraud to secure public accountability.

Original language	English (US)
Pages (from-to)	287-301
Number of pages	15
Journal	Social Science Computer Review
Volume	25
Issue number	3
DOIs	https://doi.org/10.1177/0894439307299650
State	Published - Aug 2007
Externally published	Yes

Keywords

Spatial analysis
Store choices
Vendor propensity measures

ASJC Scopus subject areas

General Social Sciences
Computer Science Applications
Library and Information Sciences
Law

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10.1177/0894439307299650

Cite this

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title = "Using spatial analysis for monitoring fraud in a public delivery program",

abstract = "In this article, fraud in public delivery programs is approached using spatial analysis. By examining welfare recipients' consumer behaviors in a spatial framework, it is possible to identify stores that draw an anomalous clientele, such as those who travel long distances and avoid stores in their local area, indicating that these stores may be committing fraud. This article shows how this idea can be operationalized for monitoring fraud to secure public accountability.",

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author = "Yushim Kim",

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AB - In this article, fraud in public delivery programs is approached using spatial analysis. By examining welfare recipients' consumer behaviors in a spatial framework, it is possible to identify stores that draw an anomalous clientele, such as those who travel long distances and avoid stores in their local area, indicating that these stores may be committing fraud. This article shows how this idea can be operationalized for monitoring fraud to secure public accountability.

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KW - Vendor propensity measures

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Using spatial analysis for monitoring fraud in a public delivery program

Abstract

Keywords

ASJC Scopus subject areas

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