Volume II-3/W5
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W5, 179-185, 2015
https://doi.org/10.5194/isprsannals-II-3-W5-179-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W5, 179-185, 2015
https://doi.org/10.5194/isprsannals-II-3-W5-179-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

  19 Aug 2015

19 Aug 2015

OBSTACLE CHARACTERIZATION IN A GEOCROWDSOURCED ACCESSIBILITY SYSTEM

H. Qin1, A. O. Aburizaiza1,2, R. M. Rice1, F. Paez1, and M. T. Rice1 H. Qin et al.
  • 1Department of Geography and Geoinformation Science, George Mason University, Fairfax, VA, USA
  • 2King Abdulaziz University, Department of Geomatics, Jeddah, Saudi Arabia

Keywords: Transitory Obstacles, Accessibility, Geocrowdsourcing, Data Quality, Semantics

Abstract. Transitory obstacles – random, short-lived and unpredictable objects – are difficult to capture in any traditional mapping system, yet they have significant negative impacts on the accessibility of mobility- and visually-impaired individuals. These transitory obstacles include sidewalk obstructions, construction detours, and poor surface conditions. To identify these obstacles and assist the navigation of mobility- and visually- impaired individuals, crowdsourced mapping applications have been developed to harvest and analyze the volunteered obstacles reports from local students, faculty, staff, and residents. In this paper, we introduce a training program designed and implemented for recruiting and motivating contributors to participate in our geocrowdsourced accessibility system, and explore the quality of geocrowdsourced data with a comparative analysis methodology.