Assessing Bike Suitability of Transportation Infrastructure Segments

Michalaka, Dimitra; Brown, Kweku; Ho, Chun-Hsing; Ren, Kewei; Hunyh, Nathan; Chen, Yuche; Davis, William J.; The Citadel; University of Nebraska-Lincoln; University of South Carolina

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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.

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Assessing Bike Suitability of Transportation Infrastructure Segments

2024-09-01
By Michalaka, Dimitra ; Brown, Kweku ; Ho, Chun-Hsing ; ...

English

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Details:

Creators:

Michalaka, Dimitra ; Brown, Kweku ; Ho, Chun-Hsing ; Ren, Kewei ; Hunyh, Nathan ; ... More +

Michalaka, Dimitra ; Brown, Kweku ; Ho, Chun-Hsing ; Ren, Kewei ; Hunyh, Nathan ; Chen, Yuche ; Davis, William J. Less -
Corporate Creators:

The Citadel ; University of Nebraska-Lincoln ; University of South Carolina

The Citadel ; University of Nebraska-Lincoln ; University of South Carolina Less -
Corporate Contributors:

Center for Connected Multimodal Mobility, Clemson University ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

Center for Connected Multimodal Mobility, Clemson University ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Bicycling Bikeways Built Environment Evaluation And Assessment Mobility Nonmotorized Transportation Ride Quality Sensors Urban Areas
Resource Type:

Tech Report
Geographical Coverage:

United States ; South Carolina ; Nebraska

United States ; South Carolina ; Nebraska Less -
Edition:

Final Report (May, 2023 – September, 2024)
Corporate Publisher:

Center for Connected Multimodal Mobility, Clemson University
Abstract:

Evaluating the built environment to determine pedalcyclist riding quality is essential for encouraging travelers to use bicycles as a means of transportation and ensuring rider safety. This research assesses the bike suitability of transportation infrastructure segments using motion and vibration sensors. Data collection was conducted using both iPhone and Android smartphone applications, recording triaxial acceleration data and GPS coordinates along various routes in three locations: Charleston, SC, Columbia, SC, and Lincoln, NE. Smartphones were mounted at the front of the bicycle to ensure an accurate representation of the bike's intrinsic vibrations. Euler's formula was used to reorient the 3-axis acceleration data to the bike’s coordinate system, standardizing the data. Data were analyzed, and pavement anomalies such as cracks and potholes were detected and geocoded. The results were visualized using GIS software, with minor discrepancies observed between Android and iPhone anomaly detection, likely due to variations in GPS accuracy and processing. The comprehensive methodology utilized in this study ensures a thorough evaluation of cycling path quality, contributing to improved urban mobility and infrastructure planning. The study aims to provide valuable insights for policymakers and stakeholders to enhance urban mobility and infrastructure planning, ultimately improving road quality and safety for all users.
Format:

PDF
Funding:

69A3551747117
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha-512:ed752e168bb307c618e71c4ed0d7a63d197b7bf641760160bd2e324578256d95dca1dcb64c5fa9a1d16c482517e22c45c6402e5db071173adb631bff96a9fb70
Download URL:

https://rosap.ntl.bts.gov/view/dot/83897/dot_83897_DS1.pdf
File Type:

[PDF-2.27 MB]