Abstract

The increased need for active transportation facilities coupled with the limited funding and space have influenced the prioritizing of shared-use paths (SUPs). Unlike other activity-specific facilities, the SUP can accommodate a wide range of users. With SUPs being relatively new facilities, less is known about the characteristics of the users and the key factors associated with the user type. This study explored the influential factors for SUP user diverse activities using multinomial regression on the survey data collected in Edmonton in 2018. The descriptive analysis revealed that walking was the activity with the highest frequency, followed by walking and cycling, and walking with pets, whereas cycling had the lowest priority. The multinomial model showed that as the age increases, residents are less likely to perform activities other than walking or cycling alone. Further, residents with higher education are more likely to either walk and cycle or walk, run, and cycle. Residents whose secondary mode of transportation is bicycle are less likely to walk and walk pets. Residents who own their house are likely to walk and walk pets. Furthermore, male residents, residents with children and those whose primary mode of transportation is not personal vehicles are more likely to walk, run, and cycle but less likely to walk and walk pets, compared with either walking or cycling alone. Planners can utilize the findings to understand the possible utilization of the planned SUPs and design them accordingly.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

The authors would like to thank the city of Edmonton for the open data policy. This study would not be possible without the survey data from Edmonton.

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Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 150Issue 10October 2024

History

Received: Nov 3, 2023
Accepted: May 17, 2024
Published online: Aug 5, 2024
Published in print: Oct 1, 2024
Discussion open until: Jan 5, 2025

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Associate Research Engineer, Roadway Safety Program, Texas A&M Transportation Institute, 701 N Post Oak Ln. # 430, Houston, TX 77024 (corresponding author). ORCID: https://orcid.org/0000-0002-5450-1623. Email: [email protected]
Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Western Michigan Univ., 1903 W Michigan Ave., Kalamazoo, MI 49008. ORCID: https://orcid.org/0000-0002-2961-8993. Email: [email protected]
Hellen Shita [email protected]
Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Florida International Univ., 10555 W Flagler St., Miami, FL 33174. Email: [email protected]
Intelligent Transportation System (ITS) Research Engineer, Leidos Inc., Turner Fairbank Highway Research Center, 6300 Georgetown Pike, McLean, VA 22101. ORCID: https://orcid.org/0000-0002-5738-125X. Email: [email protected]
Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of North Carolina at Charlotte, 9201 University City Blvd., Charlotte, NC 28223. ORCID: https://orcid.org/0000-0002-0815-3074. Email: [email protected]
Subasish Das, Ph.D. [email protected]
Assistant Professor, Ingram School of Engineering, Texas State Univ., 601 University Dr., San Marcos, TX 7866. Email: [email protected]

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