Below are the first 10 and last 10 pages of uncorrected machine-read text (when available) of this chapter, followed by the top 30 algorithmically extracted key phrases from the chapter as a whole.
Intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text on the opening pages of each chapter.
Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.
Do not use for reproduction, copying, pasting, or reading; exclusively for search engines.
OCR for page 69
69
Productivity by Tenure # Runs Tenure Productivity
1.40 75 <3 1.04
1.20 13 3-5 0.99
54 6-12 1.25
Productivity
1.00
71 13-24 1.32
0.80 109 25-60 1.30
0.60 74 61+ 1.21
0.40
Total Runs: 396
0.20
0.00
<3 3-5 6-12 13-24 25-60 61+
Tenure in Months
Figure 6-5. Productivity by vehicle operator tenure group, weekday medium runs,
LYNX ADA paratransit service, April 1925, 2009.
tenure performed at an average productivity or 1.29, compared Average productivity for operators with more than 5 years
to an average productivity of only 1.02 for operators with less experience dropped only slightly to 1.26--still 19% higher than
than 6 months of experience. This represents a 34% increase in operators with less than 6 months of experience and only 4%
productivity. Average productivity for operators with more less than operators in the 6 month to 5 year tenure category.
than 5 years of experience dropped to 1.21--still 17% higher Complete results for all types of runs at LYNX, including
than operators with less than 6 months of experience but 12% those presented in this section, are provided in the table in
less than operators in the 6 month to 5 year tenure category. Appendix C.
For the "Weekday Medium-High" group, operators with
6 months to 5 years of tenure performed at an average produc-
tivity or 1.40, compared to an average productivity of only Impacts of Tenure On
1.18 for operators with less than 6 months of experience. This On-Time Performance
represents a 19% increase in productivity. Average productiv-
Methodology
ity for operators with more than 5 years of experience dropped
only slightly to 1.37--still 16% higher than operators with less The levels of on-time performance achieved by operators
than 6 months of experience, and only 2% less than operators in each tenure group were also analyzed during both case
in the 6 month to 5 year tenure category. study sites. On-time performance was calculated for each run
Figure 6-7 shows all weekday runs for the Orlando service for the sample week. This was done by identifying the num-
and the productivities achieved by operators in each tenure ber of trips with pick-ups that were performed late compared
group. Operators with 6 months to 5 years of tenure performed to the total number of pick-ups on each run. The operators
at an average productivity of 1.39, compared to an average pro- who performed each run were then identified. Using their
ductivity of only 1.02 for operators with less than 6 months of dates of hire, their tenure in months was then calculated. This
experience. This represents a 24% increase in productivity. tenure information was then attached to each run. On-time
Productivity by Tenure # Runs Tenure Productivity
1.60 17 <3 1.15
1.40 8 3-5 1.25
20 6-12 1.37
1.20
Productivity
48 13-24 1.38
1.00 58 25-60 1.42
0.80 18 61+ 1.37
0.60
0.40 Total Runs: 166
0.20
0.00
<3 3-5 6-12 13-24 25-60 61+
Tenure in Months
Figure 6-6. Productivity by vehicle operator tenure group, weekday medium-high
runs, LYNX ADA paratransit service, April 1925, 2009.
