UPRR Fatigue ConferenceUPRR Fatigue ConferenceStudies of Passenger Work Studies of Passenger Work

Rest SchedulesRest SchedulesPatrick Sherry, Ph.D.Patrick Sherry, Ph.D.

University of DenverUniversity of Denver

Transportation InstituteTransportation Institute

OverviewOverview

• Typical passenger schedules– FAST – FAID

• What to do with outliers

• Next steps– Tool box

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PerspectivePerspective

the number of hours worked per week (over 40) and the number of hours worked per day (over 8) were positively associated with an increasing risk of injury (per 100 worker-years).

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Incidence rate IncreasedIncidence rate Increasedby hours worked per weekby hours worked per week

Septa – 6am to 6pmSepta – 6am to 6pm7 hr sleep – no naps7 hr sleep – no naps

Septa – 6am to 6pm Septa – 6am to 6pm 5 hr sleep – no naps5 hr sleep – no naps

Septa – 5 hr sleep – 1 hr napSepta – 5 hr sleep – 1 hr nap

MNR 5am – 7pm w IR 5hr slp – 6 daysMNR 5am – 7pm w IR 5hr slp – 6 days

MNR 5am – 7pm w IR 6hr slp – 6 daysMNR 5am – 7pm w IR 6hr slp – 6 days

MNR 5am – 7pm w IR 6hr slp – 8 daysMNR 5am – 7pm w IR 6hr slp – 8 days

MNR 5am – 7pm w IR 6hr slp – No IRMNR 5am – 7pm w IR 6hr slp – No IR

MNR 5am – 7pm w IR 6hr slp – IR NapMNR 5am – 7pm w IR 6hr slp – IR Nap

MNR 5am – 7pm w IR 6hr slp – IR NapMNR 5am – 7pm w IR 6hr slp – IR Nap

• Most schedules range from 5 am to 7pm

• Not all schedules have an IR

• Even if no nap taken during the IR period effectiveness ok

• Continuous 14 hr ok

• Effects of naps positive

• Evening starts more problematic

Table 1 - Summary - Extra Boardworking under 70 more than 7% of

the timeSummary for LIRR

Analysis of Extralist & Relief July

Extralist Employees

Number of days worked   3945

Number of days BELOW 7%   3831

Number of days ABOVE 7%   114

Employees percent time working above 7%   2.9%

LIRR ExtraboardAverage Daily Effectiveness Scores

by Days

Start Time - Start Hour

0 5 10 15 20 25

Ave

rage

FA

ST

Eff

ectiv

ene

ss S

core

s

60

70

80

90

100

110

Effectiveness vs Start Time (hr)Fit of Regression to Data

N = 3966 Days

• Majority of work schedules are during the day

• Schedules starting later in the day extending into the early morning hours have more risk

• Consider various countermeasures to address risk

• Hazard Identification

• Development of Countermeasures

• Tool Box

MNR A155 1800-200amMNR A155 1800-200am

MNR A100 2030-430MNR A100 2030-430

MNR A135 2030-430amMNR A135 2030-430am

MNR A135 with napsMNR A135 with naps

A135 more napsA135 more naps

MNR A135 with napsMNR A135 with naps

A135 more napsA135 more naps

Individual DifferencesIndividual Differences

Two Different Ways of Looking at the DataTwo Different Ways of Looking at the Data

Issues Issues

• Confidence Intervals• Individual differences• Varying assumptions• Effects of naps• Effects of caffeine• Scientific evidence not limited to models• Accuracy of models only 50 rms residual• Greater chance of accidents not same as actual

risk. • What is the risk?