Page 153 - Contributed Paper Session (CPS) - Volume 2

CPS1485 Pasi P.
The contribution of Statistics Finland to the Walk This Way 2017 seminar
can be seen as a Youtube video on bicycle commuting: Statistics Finland
(2017).
In the analysis of commuting time, the area type is a relevant factor to be
taken into account. This kind of analysis requires a detailed urban-rural
classification to be applied (Piela, P. and Pasila, A. 2017). For example, the
median commuting time by private car is about 12 minutes according to
these statistics. In the inner urban area it is 11 minutes with lesser deviation
and in the rural area close to urban area it is almost 20 minutes. In the rural
heartland area, 12 percent have less than 100 meters to their workplace and
the median becomes nine minutes only. However, non-commuting
employed population is included in the given statistics of this paper.
One example of applying the commuting time and distance database is
presented here in short. It takes into account the sustainable development
perspective by promoting walking, bicycling and public transport. It is not
based on any other existing research and, as such, remains experimental
(Piela, P., and Pasila, A. 2017).
1) Here, every employed whose commuting distance is less than 1,000
meters is expected to walk to the workplace 70 meters per minute
(similar to FTA 2018).
2) The maximum cycling time to a work place is given as 30 minutes by
the earlier given speed of 17 kilometres per minute.
3) Other commuters will use the public transport option if it takes
less than the drive time to work plus 30 minutes, and given that it
is available.
4) Those who are not able to walk, cycle or use public transport in this
model are expected to drive to their workplaces as usual.
The median commuting time becomes 17.6 minutes. It is about six minutes
higher than the estimated drive time median for the whole study population.
In this model, 36.8 percent use private cars. Half of the population could walk
or cycle to their workplaces within half an hour according to Table 1.
There is considerable missingness in the public transport data. Among
private car commuters in this model, 33.6 percent has unknown public
transport commuting estimate. The coverage of Journey.fi is expected to
become better in the future. This might affect to the proportions.

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