Curb-Ramp Design (CRD) and Inspection System (CIS)

Waters, S; Velan, P; Meadows, J; Toigo, Z; D’Innocenzo, M; Pearlman, J; Swisher, T; Yakupkovic, R; Myler, J; Melville, D

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Curb-Ramp Design (CRD) and Inspection System (CIS)

2019-08-30
By Waters, S ; Velan, P ; Meadows, J

File Language:

English

Details

Creators:

Waters, S ; Velan, P ; Meadows, J ; Toigo, Z ; D’Innocenzo, M ; Pearlman, J ; Swisher, T ; Yakupkovic, R ; Myler, J ; Melville, D
Corporate Creators:

University of Pittsburgh. School of Health and Rehabilitation Sciences. Department of Rehabilitation Science & Technology
Corporate Contributors:

Pennsylvania. Department of Transportation. Bureau of Planning and Research ; United States. Department of Transportation. Federal Highway Administration
Subject/TRT Terms:
Publication/ Report Number:

FHWA-PA-2019-002-PIT WO 15
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report 6/5/2017 – 8/30/2019
Contracting Officer:

Yakupkovic, Richard S
Corporate Publisher:

Pennsylvania. Department of Transportation. Bureau of Planning and Research
Abstract:

Inaccessible routes between locations can be a major barrier to participation for people with physical disabilities. Even with regulations, inaccessible sidewalks continue to create problems for wheelchair users. Existing technologies do not offer a comprehensive solution to the measurement, data collection, and information storage and display of curb ramps and sidewalks. The University of Pittsburgh was tasked to build a device to help streamline curb-ramp measurements. Through design changes, focus groups and interviews with industry stakeholders, the curb-ramp design and inspection system (CRD/CIS) device was created. The CIS prototype is ready to begin the implementation phase to help bridge the gap in curb-ramp design.
Format:

PDF
Funding:

4400011482, PIT WO 15
Download URL:

https://rosap.ntl.bts.gov/view/dot/63068/dot_63068_DS1.pdf
File Type:

[PDF - 6.50 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha256:1609d1eed1a88cceb7bffdd9843852ebff831ec91ee55eecc200205b831f2724

File Language:

English

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