Direct Ridership Model of Bus Rapid Transit in Los Angeles County, California
A direct ridership model (DRM) for predicting bus rapid transit (BRT) patronage in Southern California is estimated. Attributes of bus stops and their surroundings constitute the data observations of DRMs and enable a fairly fine-resolution analysis to be carried out on factors that influence ridership. The best-fitting DRM revealed that service frequency strongly influenced BRT patronage in Los Angeles County. High intermodal connectivity, with both feeder bus routes and rail transit services, also significantly induced BRT travel. As population densities increased, so did BRT patronage, all else being equal. For exclusive-lane BRT services, high employment densities were also associated with high daily boardings. The strong statistical fit of the model bodes well for DRM as a platform for estimating BRT patronage in coming years.
- Record URL:
- Summary URL:
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Availability:
- Find a library where document is available. Order URL: http://www.trb.org/Main/Blurbs/Transit_Volume_3_163893.aspx
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Authors:
- Cervero, Robert
- Murakami, Jin
- Miller, Mark
- Publication Date: 2010
Language
- English
Media Info
- Media Type: Print
- Features: Figures; Maps; Photos; References; Tables;
- Pagination: pp 1-7
- Monograph Title: Transit, Volume 3
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Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Issue Number: 2145
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Bus rapid transit; Bus stops; Forecasting; Intermodal services; Mathematical models; Population density; Ridership; Waiting time
- Uncontrolled Terms: Employment density
- Geographic Terms: Los Angeles County (California); Southern California
- Subject Areas: Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01154838
- Record Type: Publication
- ISBN: 9780309142786
- Report/Paper Numbers: 10-0108
- Files: TRIS, TRB, ATRI
- Created Date: Apr 16 2010 11:52AM