Reliability of Stockholm Subway - Index of
Reliability of Stockholm Subway - Index of
Reliability of Stockholm Subway - Index of
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Chapter 3: Methodology <strong>of</strong> data analysis<br />
<strong>Reliability</strong> as it was mentioned above is quite a vague term which is not able to<br />
provide us with a good specified and clear measure. In most cases under reliability<br />
researches mean two closely related concepts: punctuality and regularity. Punctuality<br />
<strong>of</strong> the service means how precise the operator adheres to the timetable. Regularity is<br />
how regular the service is. Regular service is usually characterized with its frequency<br />
and evenness <strong>of</strong> headways. Basing on the data stored in database <strong>of</strong> SL it is possible<br />
to calculate several measures pertaining to punctuality and regularity.<br />
3.1 Measures <strong>of</strong> punctuality<br />
3.1.1 On-time performance<br />
On-time performance measures the degree <strong>of</strong> trains‟ adherence to the timetable. The<br />
unpredictable delays make service unreliable and less attractive to commuters<br />
especially making time sensitive trips (e.g. to work, school, etc.). On-time<br />
performance can be demonstrated as the percentage <strong>of</strong> trains that have departed ontime<br />
or have been delayed. According to SL requirements, trains that depart in the<br />
range from 60 seconds earlier to 180 seconds later are on-time. Thus, it is possible to<br />
define three groups <strong>of</strong> data: trains that leave long before the departure time, trains that<br />
are on-time, and delayed trains.<br />
3.1.2 Deviation from scheduled departure<br />
All the trains in <strong>Stockholm</strong> subway have to depart in accordance with timetable.<br />
However in reality different conditions, such as passenger flow, driver‟s behavior,<br />
technical problems, for example with signal and dispatching systems, weather and<br />
others cause train delays or create situations when trains have earlier departure. One<br />
<strong>of</strong> the parameters characterizing the schedule adherence <strong>of</strong> the service is the deviation<br />
from scheduled departure which is a difference between actual departure time and<br />
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