Interactive x-via web analyses and simulation tool. Scope of services: - Intra-modal analyses and simulation of the European air passenger transport - Provision of a reference case of the year n-1. - Representative air schedule week (currently CW24 incl. enrichments). - Number of considered airports ca. 800, of which 470 are in EU25 & CH & N. - Quantity structure according to the published yearly statistics (as far as available up to the 30.6.n-1) for traffic from, to and across EU 25, CH and N. - Earth bound feeder. - Regionalisation of Europe on county level or equivalent zoning (usually NUTS 3), MKm regionalisation for the rest of the world, in total 1.776 regions (adjustments possible). - Updating of the reference case and where applicable of the system usually at 30.7.n. More updates possible according to available data and system requirements. Access to existing analyses will stay but they will not be reproducible due to changes / updates in the database and system. - Provision of computer capacity for: - a reference case, - the number of scenarios and - simulations referenced in the table as well as - their analyses. Availability: - 365 days to 24 hours, excluding maintenance services (usually Tuesday from 15:00 to Wednesday 6:00 o clock CET) and unforeseen technical issues or system failure resulting from third parties or external effects like force majeure. - Support during the usual office hours exclusive vacations (e.g. christmas), scale max. 5 hours per week. - In case the maintenance or system update can not be executed within the maintenance time all licence holders will be contacted and an individual maintenance interval will be defined which influences all licence holders to a minimum extend. Technique: - Internet access (broadband advantageous) and - Browser: Firefox >= 1.5 (or Internet Explorer 6+) or - Opera mobile via UMTS. Advantages: - Entire coverage of the following market - Regular air passenger transport from, to and across EU 25, CH and N - For actually more than 800 airports under consideration of actually - 1.776 regions based upon a - quantity structure of more than 2,5 million relations for - 2 trip purposes each (business/non-business) and up to - 16 alternative travel routes for intercontinental and 10 for continental traffic. - Transparency of the market by - analyses of the status quo via the reference case and - the scenarios defined by the licence holder for - his / her airport in focus as well as - competing airports / air routes each for - the originating and transfer market in terms of - the total supply or individual routes - out of the point of view of the airport, the region and the flight segment. - Interactive analyses with the help of - 6 type of interpretations - presented graphically and by tabular with - download function of all analyses for further use. x-via web www.mkm.de 5 09 - Page 1
- Mobile access to the system independent of - location and - computer as long as the technical requirements are present. - Simulation of schedule changes at - the own airport location of the licence holder as well as - at one or more competing airport locations for - one or a hundred new defined or to be cancelled air services in one scenario - computed within 24 hours with subsequent - individual analyses (as outlined above in transparency of the market ). - Yearly data update and data homogenisation. - Analyses for the reference case and the scenarios (graphical as well as table) via an interactive, self explaining menu can be ordered on the spot you receive the results within minutes. - Example: catchment of originating passengers at an airport (Dusseldorf) to a distinct destination (New York, JFK), to be ordered by entering the two airport names (or TLC s). - The result is a map and a table. The values displayed are the market shares of air travel via the airport of Dusseldorf, Germany on the total number of travels by air from or to the distinct region or airport of destination (JFK). The values correspond to the column "share" outlined in corresponding the table. Values below 5% are not displayed. See other output examples for the possible analyses on the following pages. - Simulations: - Air schedule (variation of existing services, cancellation and augmentation of services). Just enter airport of origin and destination, local times of departure or arrival, days of service, aircraft type and alliance type of airline to run a simulation for calculating the passenger potential of a new route. x-via web www.mkm.de 5 09 - Page 2
Output examples of the x-via web analyses and simulation tool. 1. Catchment Origin: catchment of originating passengers of an airport or a destination. The values displayed are the market shares of air travel via the airport of Vienna, Austria on the total number of travels by air from or to the distinct region. The values correspond to the column "share" outlined in corresponding the table. Values below 5% are not displayed 2. Catchment Transfer: catchment of transfer passengers of an airport or a destination. A map of European regions (centred around the selected airport(s)) showing the market shares of the selected transfer airport(s) in the regions. Concerning the interpretation of the analyses please note the following: For the intercontinental regions the market share value is based on the travellers using European airports as transfer point while for all European regions the market shares are based on the total air transport market. 3. Change of Catchment: delta between the catchment of the reference case and the one of the scenario. The values displayed are the change in the market shares of air travel via the airport of Milan Malpensa on the total number of travels by air from or to the distinct region. The values correspond to the column "Change of share" outlined in the corresponding table. x-via web www.mkm.de 5 09 - Page 3
4. Sheaf: flight segment with display of feeder legs on both ends for the identification of origin and transfer flows. The Network Sheaf / Spider for a distinct route informs about the final destinations passengers have, who use this route. For charter flights the number of such transfer passengers is zero by definition, and these figures for flights operated by low cost carriers are quite limited due to their business model offering only point-to-pointservices. But for routes to be run by network carriers the transfer passengers usually form a remarkable amount on the total number of passengers, especially when the route links to a hub. In the example map above you can see the most important final destinations for transfer passengers on a route Prague - Lyon (both directions). Larger passenger flows can be identified easily by the green lines (sized in proportion to the demand). Destinations to which the passenger flows are more disperse are marked only by their Three-Letter-Code and a spot coloured corresponding to the demand. 5. Change of Sheaf: delta between the sheaf of the reference case and the one of the scenario. A map which shows the differences in passenger flow between the user scenario and the reference scenario. In the example map on the right you can see those final destinations for the change of demand for the transfer passengers on a route Milan Malpensa - Frankfurt (both directions) apply in the scenario (dealing with an increase of the destinations offered at Milan Malpensa. Larger changes of passenger flows can be identified easily by the green (increase) or red (decrease) lines (sized in proportion to the demand). Destinations to which the passenger flows show smaller changes are marked only by their Three-Letter-Code and a spot coloured corresponding to the demand change. 6. Spider: flight segments from an airport with their passenger volumes. The Spider informs about the bundle of routes offered at the selected airport. In the example map you can see the routes offered at Ljubljana (LJU) and their corresponding passenger demand as mentioned in the legend on the left. x-via web www.mkm.de 5 09 - Page 4
7. Change of Spider: delta between the spider of the reference case and the one of the scenario. A map which shows the differences in passenger flow between the user scenario and the reference scenario. In the example map on the right you can see those final destinations for the change of demand on all routes (sum of both directions) offered at Torino which apply in the scenario (dealing with an increase of the destinations offered at Milan Malpensa. Larger changes of passenger flows can be identified easily by the green (increase) or red (decrease) lines (sized in proportion to the demand). Destinations to which the passenger flows show smaller changes are marked only by their Three-Letter-Code and a spot coloured corresponding to the demand change. 8. Spatial Distribution: land side distribution or travellers out of the origin airports point of view. The Spatial Distribution informs about the origin of the passengers of a distinct route. The example map above shows the distribution of travellers who enter a flight to Warsaw at the airport of Glasgow. The map shows, that out of 100 passengers entering such a flight the majority comes directly from the towns of Glasgow and Edinburgh while the regions in between them are each the origin of about 5% of the total people travelling from GLA to WAW. 9. Airport Choice: display of preferences for competing route alternatives between two regions. This map shows the competing alternatives for a trip from the region of Bydgosz, Poland to the City of Dortmund, Germany by air transport for business reasons. The size of the arrows resp. the circle indicates the choice probability for the specific alternative. On the left all the alternatives are listed by the Three- Letter-Codes of the airports of each routing. Please note, that there may exist alternatives with different airports of departure as well as different routings from the same airport of departure in addition. x-via web www.mkm.de 5 09 - Page 5
10. Diffusion: competition of two airports as overlapping catchments in context of competing airports in the neighbourhood. This map shows the catchment of the two selected airports (here Zurich and Geneva airport) and the group of other airports within one map. Regions marked red are dominated by Zurich, regions coloured in green are dominated by Geneva, while in the blue coloured regions other airports dominate the market. The nuance colouring illustrates the competing situation within a specific region between the airports mentioned (e. g. light blue for 50% share of Geneva and 50% share of other airports or dark violet when Zurich can achieve 25% market in a region, while other airports get 75% there). 11. Airline market position: A graph and a table of the top 10 airlines of the selected airport by aircraft movements and seats offered. Note: The schedule base is different to the ones of commercial providers as LCC and Charter services are complemented. The example shown is for London Heathrow, LHR. 12. Destinations Served: A map of European regions (centred around the selected airport) showing the European destinations offered by the selected airport. Additionally a list of all destinations offered by the airport is shown. The map "Destinations Served" displays all European destinations which are connected to the airport outlined in the header (here: Zagreb, Croatia) of the map in the status quo situation either by published scheduled or charter flights, irrespective if these are nonstop of direct flights. The destinations are coloured in line with the frequency a route is served. The numbers refer to the flights offered per week and direction. A complete list of all destinations served can be found in the table section of the corresponding result. 13. Passenger figures: A table of passenger figures for the selected airport. 14. Transfer destinations: A table of the Top 50 transfer destinations of any route having each specified airport as either origin or transfer airport. 15. Air transport accessibility and change of air transport accessibility. x-via web www.mkm.de 5 09 - Page 6