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Title: Monthly Service Profiles for Rural Demand Response Transportation
Accession Number: 01372688
Record Type: Component
Abstract: Most widely available data from rural demand response transportation systems are annual. Often, these annual statistics are reduced to smaller timeframes, such as passengers per month. However, annual data easily hides extreme fluctuations in service. Annual data may indicate that a system averages 1,000 passengers per month. Whereas, the system may never carry 1,000 passengers per month, but instead, fluctuate from 600 to 1,400. Advisory boards, financial managers, service planners, operators, and researchers require more detailed information to make informed decisions. In lieu of requiring data to be collected and reported more frequently, this research develops a monthly service profile for rural demand response transportation. The resulting profile, similar to traffic profiles, can be used to disaggregate annual data to a monthly level. The monthly service levels can then be applied to annual data to predict the actual variability in rural demand response transportation. These predictions allow for better allocation of financial resources over the year by predicting periods of peak demand. These predictions are also useful for determining the need for technology, vehicles, drivers, and other resources. The profiles may even assist with scheduling events likely to have large impacts on operations, such as the implementation of technology. The profile can also be used to annualize verifiable daily/weekly/monthly/seasonal sample data.
Supplemental Notes: This paper was sponsored by TRB committee AP055 Rural Public and Intercity Bus Transportation
Monograph Title: Monograph Accession #: 01362476
Report/Paper Numbers: 12-1727
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Monast, KaiZorio, DarcyJackson, AnnaPagination: 14p
Publication Date: 2012
Conference:
Transportation Research Board 91st Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Subject Areas: Data and Information Technology; Passenger Transportation; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning
Source Data: Transportation Research Board Annual Meeting 2012 Paper #12-1727
Files: TRIS, TRB
Created Date: Feb 8 2012 5:04PM
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