MIT1_258JS10_lec08

MIT1_258JS10_lec08 - DATA COLLECTION TECHNIQUES AND PROGRAM DESIGN Outline 1 2 3 4 5 6 Summary of Current Practice Framework for Data Collection

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DATA COLLECTION TECHNIQUES AND PROGRAM DESIGN Outline 1. Summary of Current Practice 2. Framework for Data Collection 3. Data Needs 4. Manual Data Collection Techniques 5. Sampling 6. Special Considerations for Surveying Additional readings for this block: Furth, P., B. Hemily, T.H.J. Muller, and J.G. Strathman, "Using Archived AVL-APC Data to Improve Transit Performance and Management." Transportation Research Board, TCRP Report 113, 2006. Zhao, J., A. Rahbee, and N.H.M. Wilson, "Estimating a Rail Passenger Trip Origin-Destination Matrix Using Automatic Data Collection Systems." Computer-Aided Civil and Infrastructure Engineering 22 (2007), 376–387. Nigel Wilson 1 1.258J/11.541J/ESD.226J Spring 2010, Lecture 8
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Summary of Transit Data Collection Programs Great variation in data collection resources Variation in techniques used: automated, manual, mixed Statistical validity of sampling approach varies Inefficient use of data Often limits use of other analytic planning and operations methods ADCS presents major opportunity for strengthening data to support decision-making Nigel Wilson 2 1.258J/11.541J/ESD.226J Spring 2010, Lecture 8
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Summary of Data Collection Program Design and Implementation Determine data needs Develop route-by-route sampling plans, checker requirements, and cost Determine property characteristics Determine any desired changes in monitoring phase techniques, sampling plans, and checker requirements Conduct baseline phase Select data collection techniques Determine statistical inputs for estimating sample size Conduct pretest, if necessary Determine if a pretest is required Assemble available data Conduct periodic monitoring phase If significant change is detected Nigel Wilson 3 1.258J/11.541J/ESD.226J Spring 2010, Lecture 8
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A. Route (or Stop) Specific Load (at peak point -- other key points) Running time Schedule adherence Total boardings (i.e., passenger-trips) Revenue Boardings (or revenue) by fare category Passenger boarding and alighting by stop Transfer rates between routes Passenger characteristics and attitudes Passenger travel patterns B. System Wide Unlinked Passenger Trips Passenger-miles Linked Passenger trips Data Needs in Baseline Phase Nigel Wilson 4 1.258J/11.541J/ESD.226J Spring 2010, Lecture 8
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Conversion Factors Auxiliary Data Item Inferred Data Item Load or Revenue Boardings Boardings, Load or Revenue Passenger Miles Point Load True Maximum Load Revenue Peak Point Load Nigel Wilson 5 1.258J/11.541J/ESD.226J Spring 2010, Lecture 8
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Passenger Counting Techniques Operator (trip cards) Traffic Checker (with handheld device) • ride check (on/off and running time) • point check (load and headway) Fare System • passenger counts • revenue counts only Automatic Passenger Counters Passenger Surveys Nigel Wilson 6 1.258J/11.541J/ESD.226J Spring 2010, Lecture 8
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Types of Counts and Readings Type of Count/ Reading* Description Corresponding Deployment Options On/off count Ons and offs by stop; also time at time points.
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This note was uploaded on 12/06/2011 for the course ESD 11.380j taught by Professor Fredsalvucci during the Fall '02 term at MIT.

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MIT1_258JS10_lec08 - DATA COLLECTION TECHNIQUES AND PROGRAM DESIGN Outline 1 2 3 4 5 6 Summary of Current Practice Framework for Data Collection

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