Understanding Factors Influencing Small to Mid-City Bike Share Ridership: A Direct Ridership Analysis
Bike share systems are commonly found in large cities thus research has focused on large cities. Little research has focused on bike share riders in small to mid-size cities. This study quantifies the factors affecting bike sharing and develops a direct ridership model (DRM) to predict monthly station-level bike share ridership in small to mid-size cities. A DRM is used to estimate how station-level bike sharing ridership correlates with demographics and land-use near bike share stations. The model is estimated using data from small cities and finds that bike share ridership is influenced the most by nearby attractions, such as parks. The results suggest that bike share riders in small cities ride for recreational purposes, rather than avoiding congestion along their commute. The developed DRM is better suited to predict ridership and to identify ideal locations for bike share system expansions in small to mid-size cities.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784483152
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Supplemental Notes:
- © 2020 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Alexander Mucci, Richard
- Sagar, Shraddha
- Erhardt Ph.D., Gregory D.
- Stamatiadis Ph.D., Nikiforos
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Conference:
- International Conference on Transportation and Development 2020
- Date: 2020-5-26 to 2020-5-29
- Publication Date: 2020-8
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 1-12
- Monograph Title: International Conference on Transportation and Development 2020: Traffic and Bike/Pedestrian Operations
Subject/Index Terms
- TRT Terms: Bicycles; Demographics; Land use; Mathematical models; Medium sized cities; Recreational trips; Ridership; Small cities; Vehicle sharing
- Subject Areas: Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting;
Filing Info
- Accession Number: 01753895
- Record Type: Publication
- ISBN: 9780784483152
- Files: TRIS, ASCE
- Created Date: Sep 30 2020 4:41PM