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Testing a novel parking system: on-street reservations

Published: 27 April 2013 Publication History

Abstract

A good portion of auto congestion in urban downtown areas is caused by people driving around looking for parking spots. We developed a novel parking system that allows people to reserve on-street parking, meant to reduce congestion, increase convenience, and raise revenue. We built prototype parking meters and set them up in the PARC parking lot, where we ran two rounds of usability testing. We asked participants to drive their cars in the parking lot, choose an appropriate spot, and pay the meter. The first round of testing identified a key design issue with the meters, so we came up with three alternative meter designs to address that issue and then compared them in the second round of testing. This video shows how we ran the parking meter testing and the outcome.

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suppl.mov (vid0100-file3.mp4)
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Cited By

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  • (2017)A Survey of Smart Parking SolutionsIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2017.268514318:12(3229-3253)Online publication date: 1-Dec-2017

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  1. Testing a novel parking system: on-street reservations

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    Published In

    cover image ACM Conferences
    CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems
    April 2013
    3360 pages
    ISBN:9781450319522
    DOI:10.1145/2468356
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 27 April 2013

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    Author Tags

    1. on-street reservations
    2. parking meters
    3. transportation systems
    4. urban parking services
    5. usability testing
    6. user experience design
    7. user studies

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    CHI EA '13 Paper Acceptance Rate 630 of 1,963 submissions, 32%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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    • (2017)A Survey of Smart Parking SolutionsIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2017.268514318:12(3229-3253)Online publication date: 1-Dec-2017

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