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Transportation Planning

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Transportation Planning CE 573 Lecture 5 Topics Data collection issues Sample size estimation Statistical inference Data Collection Location Cordon Screen line ... – PowerPoint PPT presentation

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Title: Transportation Planning


1
Transportation Planning
  • CE 573
  • Lecture 5

2
Topics
  • Data collection issues
  • Sample size estimation
  • Statistical inference

3
Data Collection
  • Location
  • Cordon
  • Screen line
  • Isolated point
  • Time
  • Peak
  • Off-peak
  • Days of week
  • Days of year
  • Survey instrument
  • Questions
  • Device
  • Personnel
  • Work shifts
  • Individual capabilities
  • Communications

4
Sample Size Terminology
  • Mean ( )
  • Sample standard deviation (sx)
  • Sample size (n)
  • Confidence level (a)
  • Confidence interval limits (/- ?)
  • Test statistic (t)
  • Population size (N)
  • More help http//edis.ifas.ufl.edu/PD006

5
Sample Size
  • Test statistic
  • Critical value (see table given a/2 and degrees
    of freedom) ?n-1
  • Calculated value ?
  • Confidence interval limit as proportion of the
    mean ?
  • n ? ?

6
Sample Size Adjustment
  • Adjusting for small population size (N)
  • Redefine n as n, with n being the adjusted
    sample size
  • n ? unadjusted population size calculated
  • n ? adjusted population size

7
Survey Scenario
  • What kind of sampling should you do?
  • Random or
  • Stratified random
  • Depends on
  • Cost of sending survey
  • Cost of processing survey

Population Proportions Population Proportions Population Proportions
N 20,000 0 autos 1 autos
10,000 0.1 0.3
40,000 0.05 0.55
8
Survey Scenario
  • Say n must be at least 50 for each cell or
    population category
  • Random sample
  • Smallest proportion ? 0.05
  • Total sample size is ?50/0.05 1,000
    observations
  • Stratified sample
  • Preliminary survey of 1,000
  • Get addresses of 50 households in each cell
  • Total sample size is 4 50 200 (50 for each
    cell)
  • Do you need to adjust the sample size by cell?
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