Product Factsheet SONAR

MKmetric Gesellschaft für Systemplanung mbH
In doubt about the passenger potentials of an airport? With the
Scan Of New Air Routes (SONAR)
you will receive a systematic search for new commercially viable routes. The MKmSONAR report includes
A: Theoretical Approach
A brief summary of the methodology used to perform the analysis with references to
published papers where models are explored in detail.
B: The airport under consideration
1. Description of the region, (optional) text – add your own description of the airport
considered
2. Air transport accessibility status quo, map – by average travel time minutes
3. Catchment by regions, status quo, map & table – by market shares of the airport
including attracted population, GDP or Employees per region
4. European destinations served, status quo, map – by frequency
5. Destinations served outside Europe, list – of airports
C: For each new potential route identified
1. Network sheaf, graph including successor and predecessor segments – by total
passengers
2. Estimated demand, table – total, local, transfer, business, non-business passengers
figures
3. Technical route information, table – distance, suggestion of airline, aircraft and
schedule including corresponding capacity, frequency and load factor
4. Spatial distribution of passengers, maps – for both airports connected by the route
5. Top transfer destinations, table – from-via-to airport transfer connections by frequency
6. Airport choice, graph – identified route and competing alternative routes
7. Airlines market position at the destination airport, table – market shares of airlines
serving the destination airport
8. European destinations linked by destination airport, status quo, graph – by frequency
9. Destinations served outside Europe by the destination airport, list – of airports
D: Effects on the airport under consideration
1. Estimated passenger demand of the new routes proposed, summary table – total,
local, transfer, business, non-business passengers figures
2. Estimated key figures concerning the proposed routes, summary table – passenger
and aircraft mileage and aircraft movements, fuel consumption, passenger hours saved
on a years base
3. New routes, summary table – total passengers, share of transfer and business
travellers, aircraft movements
6. Catchment by regions including identified routes, map & table – by market shares of
the airport including attracted population, GDP or employees per region
4. Change of catchment by new routes, map – change in market shares
7. Air transport accessibility including identified routes, map – by average travel time
minutes
5. Change of accessibility by new routes, map & table – by average travel time minutes
6. Conclusions and recommendations
All air traveller markets within, to and from Europe are covered by the systematic MKmSONAR investigation. This approach can be dedicated as well to investigate strategic
scenarios as well as to check passenger potentials of route specifications already in focus.
MKm-SONAR
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MKmetric Gesellschaft für Systemplanung mbH
Output examples of the ‘MKm-SONAR’ report
B: The airport under consideration:
2. Air transport accessibility status
quo, map – by average travel
time minutes
Example:
Northern Spain – Bilbao, BIO
3. Catchment by regions, status quo,
map & table – by market shares of
the airport including attracted
population, GDP or Employees per
region
Example:
Airport Madrid, MAD
GENOVA/SESTRI - GOA
3.2
Cat chment by regions, status quo
Popul.
Region, Code / econ. Data
Example:
Airport Genoa, GOA
GDP
Empl.
[mill €]
GOA
Popul.
GDP
Empl.
attracted
market share
attracted
attracted
ITC16 Cuneo
ITC17 Asti
558,900
210,600
13,301
4,246
239,047
90,987
2.38%
8.73%
13,302
18,377
317
371
5,689
7,940
ITC18 Alessandria
429,800
9,285
191,325
15.56%
66,867
1,445
29,766
ITC31 Imperia
216,400
ITC32 Savona
279,700
6,018
110,622
35.75%
99,981
2,151
39,543
ITC33 Genova
ITC34 La Spezia
903,400
221,600
19,358
4,763
368,870
88,210
49.07%
15.84%
443,253
35,112
9,498
755
180,986
13,976
4,437
83,113
2.67%
5,788
119
2,223
ITC48 Pavia
499,200
9,807
213,537
5.79%
28,897
568
12,361
ITE11 Massa-Carrara
199,400
3,434
85,153
9.33%
18,613
321
7,949
ITE12 Lucca
375,700
8,049
160,390
1.56%
5,857
125
2,500
3,894,700
82,698
1,631,254
18.90%
736,046
15,668
302,933
Total catchment
4. European destinations
served, status quo, map – by
frequency
Example:
Airport Tallinn, TLL
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MKmetric Gesellschaft für Systemplanung mbH
C: For each new potential destination:
1. Network sheaf, graph including
successor and predecessor segments –
by total passengers
Example:
Route Hamburg, HAM – Budapest,
BUD
2. Estimated demand, table – total, local, transfer, business, non-business passengers
figures
Estimated passenger Demand 2006,
nonboth directions POZ - DUB
business
Example:
business
total
En route
13,708
47,500
61,258
Route Poznan, POZ –
Of which O&D passengers
13,419
47,158
60,651
Of which transfer at POZ
17
13
30
Dublin, DUB
Of which transfer at DUB
272
345
617
3. Technical route information,
table – distance, suggestion
of airline, aircraft and
schedule including
corresponding capacity,
frequency and load factor
Example:
Route Poznan, POZ –
Dublin, DUB
Technical
Distance / flight time
1,544 kilometres
Suggested capacity, A/C
738 BOEING 737-800
Suggested Frequency per week
5 /7
Load factor
62.11%
145 minutes
189 seats
12 months/year
Suggested schedule, leave:
Suggested schedule, leave:
Remarks to schedule
POZ
DUB
Suggested airline(s):
Suggested flight type:
Other remarks:
FR RYANAIR
LowCost
(other carriers possible, when low cost pricing offered)
4. Spatial distribution of passengers,
maps – for both airports connected by
the route
Example:
Route Ancona, AOI – Barcelona, BCN,
Airport Ancona
Airport Barcelona
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5. Top transfer destinations, table –
from-via-to airport transfer connections
by frequency
Example:
Route Frankfurt, FRA – Barcelona, BCN
Transfer destinations using the FRA <-> BCN leg
orig code via code destination code
BCN
FRA
ALA
BCN
FRA
ANC
BCN
FRA
ARN
BCN
FRA
ATL
BCN
FRA
BAH
BCN
FRA
BEY
BCN
FRA
BKK
BCN
FRA
BLL
BCN
FRA
BRE
...
...
...
FRA
BCN
SDR
FRA
BCN
SVQ
FRA
BCN
TFN
FRA
BCN
TFS
FRA
BCN
VGO
FRA
BCN
VLC
FRA
BCN
VLL
FRA
BCN
XRY
destination name
max frequency
ALMATY KAZAKSTAN
7
ANCHORAGE(INTL) ALASKA USA
6
STOCKHOLM(ARLANDA) SWEDEN
37
ATLANTA(INTL) GEORGIA USA
14
BAHRAIN BAHRAIN
4
BEIRUT LEBANON
15
BANGKOK THAILAND
21
BILLUND DENMARK
18
BREMEN GERMANY
27
...
…
SANTANDER SPAIN
16
SEVILLA SPAIN
33
TENERIFE (NORTE L. RODEOS) CANARY
12
TENERIFE(SOFIA) CANARY ISLS.
6
VIGO SPAIN
19
VALENCIA SPAIN
27
VALLADOLID SPAIN
17
JEREZ DE LA FRONTERA SPAIN
9
6. Airport choice, graph – identified route
and competing alternative routes
Example: Trip purpose business
from Region PL612, Torun-wloclawski
to Region UKM25, City of Edinburgh
7. Airlines market position at the
destination airport, table – market shares
of airlines serving the destination airport
Example:
Airport Brussels, BRU
Market Position Airline Code Airline Name
1
2
3
4
5
6
7
8
9
10
other
SN
LH
IB
TV
BD
VG
BA
AZ
T3
SK
other
Share [movements]
SN BRUSSELS AIRLINES
LUFTHANSA
IBERIA
VIRGIN EXPRESS
BMI
VLM AIRLINES
BRITISH AIRLINES
ALITALIA
EASTERN AIRWAYS
SAS
24,3%
9,0%
6,7%
6,0%
5,1%
4,8%
4,8%
3,6%
3,3%
3,2%
29,1%
Share [seats]
23,6%
6,7%
8,9%
7,7%
3,6%
2,2%
4,0%
4,7%
0,9%
3,6%
34,0%
8. European destinations linked destination
airport, status quo, graph – by frequency
and
9. Destinations served outside Europe by
the destination airport, list – of airports
Example:
Airport TLS
De st ina t ions se r ve d out side Eur ope
AGA, ALG, CMN, FDF, ORN, RAK, RUN, TUN, YUL,
YYZ
D: Effects on the airport under consideration:
On the one hand section D summaries the effects of all routes indicated by the
previous section B and on the other hand the differences to the status quo situation
pointed out in section A are displayed. A text with final conclusions concerning all new
routes detected finalises the analyses. Graphs and tables are similar to the ones
shown for section B and C. An Appendix containing some examples as advice for the
interpretation of each analyses type is attached at the end of the MKm-SONAR report.
MKm-SONAR
www.mkm.de
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