Project Sidewalk: A Web-based crowdsourcing tool for collecting sidewalk accessibility data at scale

• Main Authors: SAHA, Manaswi, SAUGSTAD, Michael, MADDALI, Hanuma, ZENG, Aileen, HOLLAND, Ryan, BOWER, Steven, DASH, Aditya, CHEN, Sage, Li, Anthony, HARA, Kotaro, FROEHLICH, Jon
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: GIS; Mobility impairments; Accessibility; Crowdsourcing; Databases and Information Systems; Geographic Information Sciences
• Online Access: https://ink.library.smu.edu.sg/sis_research/4399; https://ink.library.smu.edu.sg/context/sis_research/article/5402/viewcontent/Saha_ProjectSidewalkAWebBasedCrowdsourcingToolForCollectingSidewalkAccessibilityDataAtScale_2019.pdf
• Institution: Singapore Management University

We introduce Project Sidewalk, a new web-based tool that enables online crowdworkers to remotely label pedestrian-related accessibility problems by virtually walking through city streets in Google Street View. To train, engage, and sustain users, we apply basic game design principles such as interac...