Matches in SemOpenAlex for { <https://semopenalex.org/work/W2548153886> ?p ?o ?g. }
- W2548153886 endingPage "256" @default.
- W2548153886 startingPage "217" @default.
- W2548153886 abstract "Briefly stated, we first provide a new accounting framework that pinpoints the relevant flows to be explained by air demand and airport choice models. We then focus on the critical feature of demand modelling practice that bears particularly on airport competition and hub stability: the built-in IIA-axiom consistency of typical “diagonal” structural demand and itinerary choice procedures. We argue that this core property must be avoided because, always dubious, it is now particularly challenged in modelling the fastest growing component of passenger air demand, non-business trips, and by the clear need for reference alternatives in mode and path or airline company choice representation procedures. Because flows are interdependent, the utility of alternatives cannot be defined only by reference to own (matrix diagonal) transport conditions. On this critical point, we summarize how Standard Box-Cox endogenous form specifications contribute to a much improved representation of the role of transport conditions within prevailing IIA-consistent structures but argue that freedom from “diagonal slavery” requires more, to wit: spatial correlation processes in Generation-Distribution models and Generalized Box-Cox specifications in Mode and Path choice analysis. In both cases, IIA-consistency is avoided in realistic ways by making parsimonious use of off-diagonal terms and permitting in principle the establishment of complementary alternatives, in contrast to the currently forced substitution straightjacket imposed on them. In more detail, we first define a new four-part Traffic Accounting Matrix (TAM) to register all spatial flows of interest for air demand forecasting, effectively extending the scope of classical algebraic input-output analysis by doubling up and reinterpreting the intermediate and final transactions components of two-part Input-Output (IO) matrices. Strictly defined subsets of a TAM can then be matched to, and explained by, the usual procedures pertaining to the distinct generation, distribution, mode choice and assignment steps of traffic demand planning, or to their combinations. We then focus on the key properties of such demand models in order to evaluate their relevance to the explanation of airport or hub competition and consider, among potential remedies, the estimation of form with Box-Cox transformations, but point out that their demonstrated relevance to the measurement of the impact of transport conditions is insufficient to solve the problem at hand. In both Generation-Distribution and Split Choice mode-company-path structural steps, the predominant use of Independence from Irrelevant Alternatives (IIA) consistent cores must be rejected to account properly for competition among destinations in Generation-Distribution models and for the prevailing importance of reference alternatives in Split Choice mode-company-path models. We provide a first partial literature summary of numerous results obtained with endogenous functional forms in both of these structural steps but argue that, because the issue of non separability of utility is not directly addressed by standard Box-Cox transformations, their increased explanatory power and realism as compared to the popular fixed form a priori logarithmic (in Gravity models) and linear (in Logit models) specifications─ is more relevant to the proper measurement of the role of transport conditions (distance, level of service or price) than to the necessary representation of interdependence among alternatives, which mandates the abandonment of “diagonal slavery” in utility formulations. Of course, the proper role of transport conditions still matters decisively in both Generation-Distribution models of transport or trade and in the Mode or company-path Choice splits. In the former class, proper curvature defines the total market reach and data determined forms rectify the demonstrably incorrect use of distance in the many logarithmic pooled time-series and cross-sectional models. In the latter class, allowing for changing marginal utility profoundly modifies the relative sensitivity of longer over shorter length trips, as compared to their behavior in prevailing untested linear constant marginal utility forms of the same functions, never theoretically very credible nor empirically sustainable. But none of these benefits and remedies to current dominant practice allows for interdependence (non separability) of utility, the key future demand modelling challenge if ex ante forecasts are to be of relevance to the air demand question at hand. To point to real remedies, we summarize some recent promising attempts to deal with interdependence in manageable ways expected to yield “diagonal dominant” results: through the use of spatial autocorrelation in Box-Cox GenerationDistribution models and of Generalized Box-Cox specifications in Split models. Separable utility is thereby rejected by the data but without using too many independent off-diagonal terms pertaining to transport conditions: if the denial of any separability has been the scourge of classical demand equation system, its blind imposition has been that of Gravity and Logit demand systems. Considerate and flexible middle ways are now within reach and they matter most to model new interdependent markets, such as tourism." @default.
- W2548153886 created "2016-11-11" @default.
- W2548153886 creator A5016968461 @default.
- W2548153886 date "2016-03-23" @default.
- W2548153886 modified "2023-10-01" @default.
- W2548153886 title "Improved Modelling of Competition among Airports through Flexible Form and Non-Diagonal Demand Structures Explaining Flows Registered within a New Traffic Accounting Matrix" @default.
- W2548153886 cites W120605832 @default.
- W2548153886 cites W129305155 @default.
- W2548153886 cites W140201714 @default.
- W2548153886 cites W1479800634 @default.
- W2548153886 cites W1493970373 @default.
- W2548153886 cites W1495262339 @default.
- W2548153886 cites W1515129579 @default.
- W2548153886 cites W1517017520 @default.
- W2548153886 cites W1517314791 @default.
- W2548153886 cites W1521412543 @default.
- W2548153886 cites W1521488551 @default.
- W2548153886 cites W1525033072 @default.
- W2548153886 cites W1531609150 @default.
- W2548153886 cites W1537077504 @default.
- W2548153886 cites W1539937872 @default.
- W2548153886 cites W1573934778 @default.
- W2548153886 cites W1576644564 @default.
- W2548153886 cites W1642879354 @default.
- W2548153886 cites W1838651752 @default.
- W2548153886 cites W1968342703 @default.
- W2548153886 cites W1973147844 @default.
- W2548153886 cites W1976957944 @default.
- W2548153886 cites W1977375553 @default.
- W2548153886 cites W1982276715 @default.
- W2548153886 cites W1997463299 @default.
- W2548153886 cites W1998333234 @default.
- W2548153886 cites W2001560396 @default.
- W2548153886 cites W2005639497 @default.
- W2548153886 cites W2007050000 @default.
- W2548153886 cites W2014539558 @default.
- W2548153886 cites W2021094442 @default.
- W2548153886 cites W2028754797 @default.
- W2548153886 cites W2037117330 @default.
- W2548153886 cites W2037891477 @default.
- W2548153886 cites W2049530707 @default.
- W2548153886 cites W2049547553 @default.
- W2548153886 cites W2053026104 @default.
- W2548153886 cites W2059449064 @default.
- W2548153886 cites W2059572935 @default.
- W2548153886 cites W2061554060 @default.
- W2548153886 cites W2066531726 @default.
- W2548153886 cites W2067440883 @default.
- W2548153886 cites W2071300991 @default.
- W2548153886 cites W2075966424 @default.
- W2548153886 cites W2077988168 @default.
- W2548153886 cites W2080577950 @default.
- W2548153886 cites W2081777194 @default.
- W2548153886 cites W2088275473 @default.
- W2548153886 cites W2094536313 @default.
- W2548153886 cites W2105987729 @default.
- W2548153886 cites W2119169789 @default.
- W2548153886 cites W2121808626 @default.
- W2548153886 cites W2137344397 @default.
- W2548153886 cites W2170513424 @default.
- W2548153886 cites W2253872233 @default.
- W2548153886 cites W2477503388 @default.
- W2548153886 cites W2591718469 @default.
- W2548153886 cites W3015812362 @default.
- W2548153886 cites W3122564006 @default.
- W2548153886 cites W3122803998 @default.
- W2548153886 cites W3123968200 @default.
- W2548153886 cites W3125442684 @default.
- W2548153886 cites W570259496 @default.
- W2548153886 cites W587009042 @default.
- W2548153886 cites W587510914 @default.
- W2548153886 cites W618733464 @default.
- W2548153886 cites W623737220 @default.
- W2548153886 cites W646906133 @default.
- W2548153886 cites W657466162 @default.
- W2548153886 cites W68612471 @default.
- W2548153886 cites W87747349 @default.
- W2548153886 cites W623954983 @default.
- W2548153886 doi "https://doi.org/10.4324/9781315566481-20" @default.
- W2548153886 hasPublicationYear "2016" @default.
- W2548153886 type Work @default.
- W2548153886 sameAs 2548153886 @default.
- W2548153886 citedByCount "1" @default.
- W2548153886 crossrefType "book-chapter" @default.
- W2548153886 hasAuthorship W2548153886A5016968461 @default.
- W2548153886 hasConcept C130367717 @default.
- W2548153886 hasConcept C162324750 @default.
- W2548153886 hasConcept C17744445 @default.
- W2548153886 hasConcept C199539241 @default.
- W2548153886 hasConcept C2524010 @default.
- W2548153886 hasConcept C2776359362 @default.
- W2548153886 hasConcept C33923547 @default.
- W2548153886 hasConcept C41008148 @default.
- W2548153886 hasConcept C42475967 @default.
- W2548153886 hasConcept C94625758 @default.
- W2548153886 hasConceptScore W2548153886C130367717 @default.
- W2548153886 hasConceptScore W2548153886C162324750 @default.
- W2548153886 hasConceptScore W2548153886C17744445 @default.