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Scalable methods to collect and visualize sidewalk accessibility data for people with mobility impairments: an overview

Scalable methods to collect and visualize sidewalk accessibility data for people with mobility... SIGACCESS Newsletter Issue 111 January 2015 SCALABLE METHODS TO COLLECT AND VISUALIZE SIDEWALK ACCESSIBILITY DATA FOR PEOPLE WITH MOBILITY IMPAIRMENTS: AN OVERVIEW Kotaro Hara HCIL | Makeability Lab University of Maryland, College Park kotaro@cs.umd.edu Figure 1: Our proposed data collection methods will provide unprecedented levels of street-level accessibility information. I will use the information to develop map-based accessibility tools such as RouteAssist, a mobile-phone based tool that personalizes route suggestions based on a user's reported mobility-levels. ABSTRACT Poorly maintained sidewalks pose considerable accessibility challenges for mobility impaired persons; however, there are currently few, if any, mechanisms to determine accessible areas of a city a priori. In this paper, I introduce four threads of research that I will conduct for my Ph.D. thesis aimed at creating new methods and tools to provide unprecedented levels of information on the accessibility of streets and sidewalk. Introduction According to the most recent US Census (2010), roughly 30.6 million adults have physical disabilities that affect their ambulatory activities. Of these, nearly half report using an assistive aid such as a wheelchair (3.6 million), cane, crutches, or walker (11.6 million) [9]. Despite comprehensive civil rights legislation for Americans with disabilities many city streets and http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGACCESS Accessibility and Computing Association for Computing Machinery

Scalable methods to collect and visualize sidewalk accessibility data for people with mobility impairments: an overview

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2015 by ACM Inc.
ISSN
1558-2337
DOI
10.1145/2809904.2809912
Publisher site
See Article on Publisher Site

Abstract

SIGACCESS Newsletter Issue 111 January 2015 SCALABLE METHODS TO COLLECT AND VISUALIZE SIDEWALK ACCESSIBILITY DATA FOR PEOPLE WITH MOBILITY IMPAIRMENTS: AN OVERVIEW Kotaro Hara HCIL | Makeability Lab University of Maryland, College Park kotaro@cs.umd.edu Figure 1: Our proposed data collection methods will provide unprecedented levels of street-level accessibility information. I will use the information to develop map-based accessibility tools such as RouteAssist, a mobile-phone based tool that personalizes route suggestions based on a user's reported mobility-levels. ABSTRACT Poorly maintained sidewalks pose considerable accessibility challenges for mobility impaired persons; however, there are currently few, if any, mechanisms to determine accessible areas of a city a priori. In this paper, I introduce four threads of research that I will conduct for my Ph.D. thesis aimed at creating new methods and tools to provide unprecedented levels of information on the accessibility of streets and sidewalk. Introduction According to the most recent US Census (2010), roughly 30.6 million adults have physical disabilities that affect their ambulatory activities. Of these, nearly half report using an assistive aid such as a wheelchair (3.6 million), cane, crutches, or walker (11.6 million) [9]. Despite comprehensive civil rights legislation for Americans with disabilities many city streets and

Journal

ACM SIGACCESS Accessibility and ComputingAssociation for Computing Machinery

Published: Jan 29, 2015

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