The Personal Environmental Impact Report (PEIR) lets users see online how their daily choices affect the environment and how the environment affects them, by providing personalized, daily estimates of measures like particulate matter exposure on roadways and carbon emissions due to driving.

PEIR was developed by the Center for Embedded Networked Sensing (CENS) at the UCLA Henry Samueli School of Engineering and Applied Science in collaboration with the Nokia Research Center, Palo Alto.

PEIR estimates impact and exposure using the actual travel patterns of its users, as uploaded from their GPS-equipped mobile phones. Accepted scientific models, like the California Air Resources Board's Emissions FACtors (EMFAC) vehicle emissions and Southern California Association of Governments traffic models, are used to calculate estimates specific to the user's travel.

On the PEIR site, users can compare values for different trips and see how lifestyle changes affect their impact and exposure. They can also compare their averages with other PEIR participants in their Facebook social network.

By employing only the increasingly common location sensing capabilities of modern phones, CENS wants PEIR and projects like it to work on the devices that people already own and use.

The project is part of the CENS urban and participatory sensing research program, which aims to make everyday mobile phones act as sensors and collect data for their owners.

Applications for participatory sensing range from community "case-making" to systems like PEIR, which promote personal engagement and reflection.

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Personal Environmental Impact Report (PEIR)
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