because the passenger of O&D A1-B1 will choose the new non-stop connection A1-B1. Hereby the
number of people starting their trip from airport A1 (three) remains constant (leaving aside some
generation effects added at the end of the computation).
The "Door-to-Door" model approach
depicts the world realistically. The routes with passenger
loss lose profitability. Capacity adjustments (frequency of service, aircraft size) can lead to the
necessary abandonment of the route. On the other hand, the new route will deduct a significant
number of passengers from the existing routes, as travellers have now chosen a new alternative to
the old route. However, the O&D model approach does not show such changes. In our example,
passengers change their departure airport (A2) and travel from A1 (see Figure 1). This effect is also
known as cannibalisation. Both passengers choose the new non-stop connection A1-B1. In addition,
a passenger departing from A1 who previously travelled via B2 to B1 will now (also) choose the
non-stop flight A1-B1. All in all, these interrelationships (airport / route choice effects) can be
explained if real mobility needs are depicted in the model. These effects appear out of the "Door-to-
Door" perspective. The lower graph of Figure 1 describes these (complete) travel routes from
Region-1 to Region-2.
Both effects lead to cannibalisation of existing routes, i.e. the old existing routes lose passengers
due to redistribution. However, the "Door-to-Door" approach (also) results in a change of departure
point and a change of destination. The "Door-to-Door" approach thus realistically reflects mobility
needs and the decision-making behaviour of passengers. In an open market a new route (A1-B1)
could also attract more passengers (e.g. transfer passengers).
In the following, these relationships are described in a somewhat structured manner:
Demand generation effects
-
The new route generates new demand. This is the case when a destination was previously not
reachable but is now reachable. On the one hand, the new demand results from people's nature to
discover new destinations. On the other hand, additional demand results from the possibility for
a business to establish new business relationships
1
. This is equivalent to satisfying subliminal
mobility needs in the market, which is optimal for an airline.
Destination choice effects
-
There will be destination choice
effects for which regional connectivity is crucial. Especially if
the destination becomes directly accessible for the first time by a new route. Regional
connectivity differs in principle from the connectivity indicators used in the aviation industry.
The focus here is not on the airport hub, but on the source (e.g. Region-1 in Figure 1) and the
destination (e.g. Region-2 in Figure 1) of travellers who use air transport services only as a
means to an end
2
.
1
hps://www.researchgate.net/publicaon/
5182064_Introducing_Spaal_Compeon_Through_an_Autoregressive_Connuous_Distributed_AR-C-
D_Process_in_Intercity_Generaon-Distribuon_Models_within_a_Quasi-Direct_Format QDF
2
hps://www.researchgate.net/publicaon/313891821_Europe-
wide_aviaon_connecvity_measures_and_the_PATH_theorem
MKmetric GmbH
www.mkm.de
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