Cover Image

Not for Sale

View/Hide Left Panel
Click for next page ( 69

The National Academies | 500 Fifth St. N.W. | Washington, D.C. 20001
Copyright © National Academy of Sciences. All rights reserved.
Terms of Use and Privacy Statement

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 68
68 of experience. The group of operators with 3 to 5 months of A standard run structure using staggered straight runs was experience also performed well on these straight runs. Opera- used. The only real distinction in terms of run type was tors with less than 3 months of experience and those with 6 to whether runs were scheduled for weekdays versus Saturdays or 12 months of experience performed at lower productivities. Sundays. Therefore, instead of categorizing runs by types, the The largest group of long-term operators (315) who worked lead scheduler was asked to give each run an expected produc- the AM straight runs had the highest productivity in that tivity rating based on the number and type of subscription trips group. Longer-term operators working PM straight runs also and "program" trips assigned as well as his general knowledge had among the highest productivity in that group. The longer of the runs. The categorization also depended on whether runs term operators working split runs, however, performed at were typically assigned to the urban area or more rural parts of only a moderate productivity on morning runs and at a low the service area. Using a list of weekday runs, the lead sched- productivity on the afternoon runs. uler categorized each run based on expected productivity using Combining the results for the two groups of split runs (AM the following general categories: and PM) indicates that operators with 6 months to 5 years of experience were about 8% to 9% more productive than oper- Low productivity, ators with less than 6 months experience. Medium-low productivity, For the two groups of straight runs, the pivot point appears Medium productivity, to be at about one year of experience. In these two groups, oper- Medium-high productivity, and ators with one to 5 years of experience were about 5% more High productivity. productive than those with less than one year of experience. The fact that it took longer for operators to be as productive Saturday and Sunday runs were then also considered sep- on straight runs could be due to the fact that these runs, which arate groups. go through the midday, often have fewer subscription trips Table 6-2 shows the breakdown of the 786 runs for the sam- than morning and afternoon split runs that operate more in ple week by expected weekday and weekend, and weekday the peak. Vehicle operators would be making more non- productivity category. It also shows the average actual produc- subscription pick-ups throughout the service area and it would tivity for each run category. As shown in Table 6-2, the lead take longer to learn the entire area. Another possibility is that scheduler's opinion about the expected productivities of each the operators with the longest tenure had an idea of which runs run was quite accurate. The average actual productivities do in had more moderate workloads (e.g., smaller subscription trip fact increase from the "Weekday Low" category to the "Week- groups), and may have chosen those in the run picks. day High" category. Saturday runs had an average productiv- Complete results for all types of runs at DART, including ity that was almost the same as the "Weekday Medium" runs. those presented in this section, are provided in the table in Sunday runs had an average productivity that was between the Appendix B. "Weekday Low" and "Weekday Medium-Low" levels. As shown in Table 6-2, the only two categories that had a suf- ficient distribution over all operator tenure groups were the Productivity Results--LYNX, Orlando, FL runs with expected productivities of "Weekday Medium" and A similar analysis was performed with data from the LYNX "Weekday Medium-High." Figures 6-5 and 6-6 show the results ADA paratransit service in Orlando, FL. Data from the week of the productivity analysis for each of these categories of runs. of April 1925, 2009, was used. During this week, a total of For each run group, the results show significantly improved 786 runs were performed and vehicle operator tenure infor- productivity for operators with greater tenure. In the "Week- mation was successfully linked to all runs. day Medium" group, operators with 6 months to 5 years of Table 6-2. Number of runs by anticipated productivity and operator tenure group, LYNX, Orlando, FL, April 1925, 2009. Average # of Runs by Tenure Group (in Months) Run Description Productivity <3 3-5 6-12 13-24 25-60 61+ Total Runs Weekday Low 0.95 1 0 15 12 7 6 41 Weekday Medium-Low 1.17 0 0 11 15 4 0 30 Weekday Medium 1.22 75 13 54 71 109 74 396 Weekday Medium-High 1.36 17 8 20 48 58 18 169 Weekday High 1.51 2 0 11 27 14 8 62 Saturday 1.23 10 6 14 18 5 7 60 Sunday 1.07 6 2 9 6 3 2 28 Totals 1.25 111 29 134 197 200 115 786