WP2.2.2 Benefit Assessment



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WP2.2.2 Benefit Assessment Lorenzo Castelli, Paola Pellegrini, Andrea Ranieri University of Trieste 2nd CATS Worksop - 26 Jan 10 Page: 1

CATS Benefit assessment The general objective of WP 2.2.2 is to assess the costs and benefits following the introduction of the Concept of Operations (Contract of Objectives and Target Windows) for ANSPs, aircraft operators and airports. Page: 2

CATS Benefit Assessment It is structured in three parts Qualitative/Quantitative economic assessment of the CATS concept of operations. It follows E-OCVM descriptions for a Business Case in accordance with guidelines from the CAATS II Project: 4 D19.2 Business good practices 4 D20 Guidance material for a typical business case It considers both 4 Flight Planning phase 4 Flight Execution phase Introduction of a negotiation mechanism for TW assignment at the short-term planning level Evaluation of benefits if time windows of variable width exist (the Air Traffic Flow Management problem with Time Windows) Page: 3

Economic Assessment The CATS project is at an early stage of its life cycle We need a practical way to deal quantitatively with complex decision making problems based on qualitative judgements Expert group Air France Consulting ENAV Unique Zurich Flughafen Page: 4

The AHP methodology Analytic Hierarchic Process (AHP) It was proposed by Thomas Saaty in the 70s It is based on an experts group and literature figures It converts experts judgments into numerical values The first step consists in decomposing the decision problem into a hierarchy Easily comprehensible sub-problems are considered Each of them is analyzed independently Page: 5

Planning and execution phases Typically each flight is the result of a two step process: the planning and the execution phases In the planning phase long, medium and short term operational plans are developed and optimized In the execution phase, such operational plans are put in place Here we present the two hierarchies for airlines. Page: 6

Flight Planning phase - Airlines Page: 7

Flight Execution Phase - Airlines Page: 8

Assigning weights to judgments Once the hierarchy is built, the decision makers systematically evaluate its various elements Pair wise comparisons are made at each level The AHP converts experts judgments into numerical values A numerical weight or priority is derived for each element of the hierarchy Judgment Numerical value Equally important 1 Slightly more important 3 Strongly more important 5 Very strongly more important 7 Extremely more important 9 Page: 9

Results Execution phase Use of resources Benefits Priority Use of resources 1 3 0.75 BENEFITS Common responsibility Increase of predictability Priority Common responsibility Benefits 1 1/3 1 1/30.25 0.25 Increase of predictability 3 1 0.75 INCREASE OF PREDICTABILITY Better use of ground resources Reduction of inblock time variability Reduction of taxi time variability Reduction of flight duration variability Priority Better use of ground resources 1 1/2 1/3 1/5 0.083 Reduction of in-block time variability 2 1 1 1/4 0.160 Reduction of taxi time variability 3 1 1 1/4 0.180 Reduction of flight duration variability 5 4 4 1 0.577 Page: 10

Results Execution phase There is no significant impact of the implementation of CATS with respect to Business-as-Usual in terms of use of resources Benefits are going to be strongly improved Use of resources Common responsibility Better use of ground resources Reduction of inblock time variability Reduction of taxi time variability Reduction of flight duration variability Global priority 0.75 0.063 0.016 0.030 0.034 0.108 BaU 0.5 0.167 0.25 0.25 0.25 0.25 CATS 0.5 0.833 0.75 0.75 0.75 0.75 Page: 11

Results of the AHP analysis - airlines CATS is the preferable alternative: Priority of 0.57 for both planning and execution phases Page: 12

Results of the AHP analysis - ANSPs CATS is the preferable alternative: Priority of 0.73 (planning) and 0.78 (execution) Page: 13

Results of the AHP analysis - Airports CATS is NOT the preferable alternative: Priority of 0.43 (planning) and 0.44 (execution) Page: 14

AHP Final Results Planning Phase Execution Phase Airline 0.57 0.57 ANSP 0.73 0.78 Airport 0.43 0.44 Priority assigned to implement the CoO/TW concept of operations from the AHP models Page: 15

AHP - Conclusions Advantages from CoO/TW more relevant in the execution than planning phase Main benefits of CoO/TW Common (or shared) responsibility Increase of predictability CoO/TW to be preferred w.r.t. BaU for the Airline and the ANSP This result is quite robust The Airport finds BaU more attractive This result is NOT robust and strongly depends on the current economic situation Zurich Flughafen already implements some CDM mechanism Page: 16

TW Negotiation According to the CATS concept of operations stakeholders shall negotiate TWs if a feasible assignment cannot be attained (e.g., mismatch between demand and capacity at the short-term planning level) Thus a priority rule involving users preferences is put in place, as advocated by SESAR (e.g., UDPP) SESAR: Improve equity For priority management, ensure that more options will be available than just the first come first serve rule Ensure that priority rules will always be applied in a transparent, correct manner First-Come-First-Serve rule: Perceived as fair by Airlines Imposed centrally by CFMU irrespectively of their local preferences Page: 17

TW Negotiation principles At the (Mature) Shared Business Trajectory level, TWs could be assigned on a FCFS basis whenever there is a mismatch between demand and capacity (businessas-usual scenario) Users can successively trade these TWs with other TWs and/or with side payments to compensate delay increases Flights with a higher cost of delay can reduce their delays by acquiring earlier TWs from flights with a lower cost of delay Page: 18

TW Negotiation desirable properties Individual rationality each airline has a non-negative payoff for participating in it Budget balance the mechanism does not require subsidization from outside to run properly. Allocative efficiency the mechanism produces an allocation which optimizes the sum of the costs reported by the airlines. Incentive compatibility the mechanism is designed so that no airline can increase its payoff by misrepresenting its costs, provided that all other airlines are truthful. Page: 19

TW Negotiation levels The negotiation mechanism can be implemented under two different configurations Central or Sealed-bid exchange A central authority collects all relevant data from users (costs and desired TWs), solve the problem and communicates optimal exchanges and compensations to users Distributed or Iterative exchange The central authority calculates the price for different TWs according to the excess of demand, communicates these prices to the users, who respond with the desired TWs at current prices Page: 20

Simulations Dataset extracted from real data (15/08/2008, 9:00-11:00) 485 regulated flights 60 capacity-constrained resources (sectors + airports) Page: 21

Simulations Cost of delay per flight (according to the Westminster Report) [1;5] /min [15;25] /min [30;105] /min Global cost of delay under different TW assignments: FCFS Central EXCH Distr EXCH 740 187 620 692 (-16%) 634 438 (-14%) Page: 22

Conclusions The AHP analysis shows that benefits from CATS outweigh limitations, especially for airlines and ANSPs Both at the flight planning and execution phases This result is quite robust In a better economic situation, the same findings apply to airports as well An additional benefit of the CATS concept derives from the direct involvement of users in the process of assigning scarce resources (i.e., TWs) A possible TW negotiation scheme at the short-term planning level provides a significant reduction of the cost of delay for airspace users. Page: 23