Improving public transit accessibility for blind riders by crowdsourcing bus stop landmark locations with Google street view: An extended analysis

• Main Authors: HARA, Kotaro, AZENKOT, Shiri, CAMPBELL, Megan, BENNETT, Cynthia L., LE, Vicki, PANNELLA, Sean, MOORE, Robert, MINCKLER, Kelly, NG, Rochelle H., FROEHLICH, Jon E.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Crowdsourcing accessibility; accessible bus stops; Google Street View; Mechanical Turk; low-vision and blind users; remote data collection; bus stop auditing; Software Engineering; Transportation
• Online Access: https://ink.library.smu.edu.sg/sis_research/3942; https://ink.library.smu.edu.sg/context/sis_research/article/4944/viewcontent/TACCESS0602_05__1_.pdf
• Institution: Singapore Management University

Low-vision and blind bus riders often rely on known physical landmarks to help locate and verify bus stoplocations (e.g., by searching for an expected shelter, bench, or newspaper bin). However, there are currentlyfew, if any, methods to determine this information a priori via computational tools or...