facility during site visits to account for unique conditions at a facility and
the cultural aspects of the area (i.e., amount of "personal space" required by
individuals; number of visitors per patient; number of escorts or companions
accompanying outpatients; etc.).
Elevator Loading Densities.
Maximum estimated densities for
elevator loading will approximate:
0.23 to 0.325 sm (2.5 to 3.5 sf) per pedestrian.
0.42 to 0.6 sm (4.5 to 6.5 sf) for a person on crutches/walker.
0.6 to 0.79 sm (6.5 to 8.5 sf) per wheelchair.
1.3 to 1.5 sm (14 to 16 sf) per gurney.
1.67 to 2.23 sm (18 to 24 sf) per bed.
Verify average loading densities during site visits of existing facilities.
Elevator Load and Unload Times. Estimated average load and unload
times, using the elevators as specified herein, will approximate the following
a. 2.2 to 2.4 seconds per normal pedestrians in passenger
b. 2.2 to 3.4 seconds per pedestrian impaired by
c. 4.8 to 8.0 seconds per wheelchair.
d. 4.4 to 9.6 seconds per person on crutches/walkers.
e. 7.5 to 12.0 seconds per gurney.
f. 8.8 to 15.0 seconds per bed.
Verify average load and unload times during site visits to existing
Elevator Traffic Analysis. For passenger and patient service
elevators, base the elevator traffic analysis on average high peak traffic
conditions over a period of fifteen minutes or less.
Passenger Elevators. For passenger elevators, the Elevator
Traffic Study and Analysis must evaluate all peak periods, including but not
a. Morning Shift Change Peak (primarily an up-peak period).
b. Lunch Peak (heavy two way traffic).
c. Afternoon Shift Change Peak (primarily heavy down peak,
with moderate opposing traffic).
When determining elevator loading, factor the number of persons/vehicles that
can physically load into an elevator into the traffic study. Loading
densities for hospital and outpatient clinic elevator cars are unlike elevator
populations in most other buildings. Where pedestrian traffic is mixed with
substantial vehicular traffic, the space used by carts, gurneys, beds,
portable X-Ray equipment and the like, must be factored into the Elevator
Traffic Study and Analysis. Identify impacts of overlapping traffic patterns
between inpatient and outpatient functions. In existing buildings, the
populations must be studied during site visits to determine the percentage of
traffic that is consumed by crutches, braces, wheelchairs, casts, and similar