Data Science and Analytics for Decision Support (SIG DSA)

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Paper Type

ERF

Paper Number

1767

Description

This study seeks to investigate the location sharing behavior in the context of US census block groups (BGs). With an increased adoption and usage of smart technologies and Internet-of-Things (IoT) devices, the availability and vulnerability of location information has made several news headlines. From privacy protection standpoint, it is crucial to know how different propensities of BGs influence the aggregated location sharing behavior. Tobler’s first law of geography helps integrate technology-organization-environment (TOE) framework and spatial awareness technology utilization model (SATUM) and propose a research model for data breaches of BGs. Discovering patterns of BGs prosperity to share location is analyzed based on median household income, occupied household units, internet access, security/antivirus ownership, bachelor’s education, and occupation in computer/math, legal, and protective services. For pilot testing, data was collected for 331 BGs in City of Los Angeles. All variables expect economic variables showed a significant impact to location sharing of BGs. Study promises significant theoretical and practical contributions.

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Aug 9th, 12:00 AM

US Census Block Groups and Location Sharing Behavior: Case of IoT Adoption

This study seeks to investigate the location sharing behavior in the context of US census block groups (BGs). With an increased adoption and usage of smart technologies and Internet-of-Things (IoT) devices, the availability and vulnerability of location information has made several news headlines. From privacy protection standpoint, it is crucial to know how different propensities of BGs influence the aggregated location sharing behavior. Tobler’s first law of geography helps integrate technology-organization-environment (TOE) framework and spatial awareness technology utilization model (SATUM) and propose a research model for data breaches of BGs. Discovering patterns of BGs prosperity to share location is analyzed based on median household income, occupied household units, internet access, security/antivirus ownership, bachelor’s education, and occupation in computer/math, legal, and protective services. For pilot testing, data was collected for 331 BGs in City of Los Angeles. All variables expect economic variables showed a significant impact to location sharing of BGs. Study promises significant theoretical and practical contributions.

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