Connectivity of the European airport network: “Self-help hubbing” and business implications

Malighetti, Paolo; Paleari, Stefano; Redondi, Renato

doi:10.1016/j.jairtraman.2007.10.003

Cited by 135 publications

(91 citation statements)

References 24 publications

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“…We do not follow analyses of shortest and quickest paths (e.g. Shaw, Ivy, 1994;Malighetti et al, 2008;Paleari et al, 2010;Zhang et al, 2010), but instead identify all connections, which a passenger might consider a feasible travel option. In so doing, we follow our objective to evaluate connectivity and centrality of the entire network as perceived by passengers.…”

Section: Figmentioning

confidence: 99%

“…In their review, Burghouwt and Redondi (2013) distinguish several metrics, including metrics based on shortest and quickest connection paths (e.g. Shaw, Ivy, 1994;Malighetti et al, 2008;Paleari et al, 2010;Zhang et al, 2010) as well as metrics computed by summing connection quality over all available connections (e.g. Veldhuis, 1997;Burghouwt, de Wit, 2005).…”

Section: Introductionmentioning

confidence: 99%

“…4 !! We note that this approach implicitly assumes a prohibitively high disutility of 'self-help hubbing' (Malighetti et al, 2008)…”

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confidence: 99%

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How air transport connects the world – A new metric of air connectivity and its evolution between 1990 and 2012

Allroggen

Wittman

Malina

2015

Transportation Research Part E: Logistics and Transportation Re

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SUMMARY ObjectiveScheduled air transport services connect airports throughout the world and thereby enable interaction on a global scale. By doing so, they spur globalization (Hummels, 2007) as well as social and economic development (Lakshmanan, 2011). In order to facilitate integration of regions into global value chains, planners, scholars and policymakers therefore need to understand as to how scheduled air transport services link a region to other markets. For this purpose, connectivity metrics have been developed, which measure the degree of connections between airports (Burghouwt, Redondi, 2013). In particular, the 'connection quality-weighting' approach (Veldhuis, 1997;Burghouwt, de Wit, 2005) has been used to compute the aggregate quality of all available connections at an airport with regard to their properties in quickly bridging distances. However, such a metric has neither been calibrated on the basis of observed passenger behavior nor been computed for the world's airports across a multi-decade time series. This paper sets out to develop the first such metric and to discuss global airline network development between 1990 and 2012 from a connectivity perspective. How Air Transport Connects the World 4 MethodologyThe Global Connectivity Index (GCI) for each airport is computed by summing the connectionquality of each available flight connection weighted by the interaction potential, to which the connection provides access. This requires three levels of analysis. First, on the link-identification level, we identify from OAG flight schedules all scheduled nonstop and onestop connections, which are available to passengers at each airport. Second, on the link-quality level, we compute each connection's frequency and relative connectivity value as compared to (hypothetical) nonstop flights. The relative connectivity value is derived from flight duration and layover time and calibrated through observed routing data for US passengers. Third, on the destination-quality level, we model the interaction potential, to which each worldwide airport provides access. For this purpose, we use gridded wealth-adjusted population data and a distance-decay function. Transaction-specific idiosyncrasies such as tastes or fares, which vary among potential passengers and impact on each passenger's itinerary choice, are not considered since they cannot be aggregated to the route level, yet. Results By computing yearly GCITo date, no analysis exists which evaluates 'quality-weighted' connectivity and/or centrality at the world's airports with the help of an empirically calibrated model. Such a model is developed in this paper. We compute these metrics to analyze worldwide connectivity and centrality trends The remainder of this paper proceeds as follows: In Section 2, the building blocks of 'connection quality-weighted' connectivity and centrality are outlined. Section 3 develops the connectivity and the centrality metrics. Global and world-region trends in connectivity and centrality between 1990 and 2012 are analyzed in Sect...

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Section: Figmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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How air transport connects the world – A new metric of air connectivity and its evolution between 1990 and 2012

Allroggen

Wittman

Malina

2015

Transportation Research Part E: Logistics and Transportation Re

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“…In fact, a short path (in terms of number of flights) can be (relatively) useless for a passenger if the constituent flights are very infrequent or if their scheduling renders the connections unworkable. One can therefore adapt many complex network metrics to describe both direct and indirect connectivities for passengers (Cook et al, 2013a;Malighetti et al, 2008;Zanin et al, 2009). We pursue this theme in Section 3.2.…”

Section: Complexity Science 21 Complex Network In Atmmentioning

confidence: 99%

Applying complexity science to air traffic management

Cook

Blom

Lillo

et al. 2015

Journal of Air Transport Management

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Complexity science is the multidisciplinary study of complex systems. Its marked network orientation lends itself well to transport contexts. Key features of complexity science are introduced and defined, with a specific focus on the application to air traffic management. An overview of complex network theory is presented, with examples of its corresponding metrics and multiple scales. Complexity science is starting to make important contributions to performance assessment and system design: selected, applied air traffic management case studies are explored. The important contexts of uncertainty, resilience and emergent behaviour are discussed, with future research priorities summarised.

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“…So, the study of the variables capable of triggering new investment inflows is of particular interest from a policy-maker perspective. Secondly, Italy is the fourth major market in Europe in terms of air passenger volumes [17] and its airports are among the most connected [22], so representing an ideal field for testing the relationship between new routes and FDIs.…”

Section: Introductionmentioning

confidence: 99%

Air connectivity and foreign direct investments: economic effects of the introduction of new routes

Bannò

Redondi

2014

Eur. Transp. Res. Rev.

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Purpose The key research question for this study was whether the spatial network structure offered by the global airline system contributes to the development of Italian inward Foreign Direct Investments (FDIs). We argue that the introduction of a new route, by reducing firm's transport costs and facilitating tacit and complex knowledge flow, should increase the likelihood of FDI exchange between newly connected regions. Methods We employed a comparison group design considering both small and medium enterprises and large companies at the municipality level.Results The results showed that FDIs increased overall by 33.7% in the two years after opening of the new routes while FDIs in the control group decreased by 16.6%. Similar results were obtained using different measures of FDI (i.e. the number of generated employees) and by weighting the routes by their frequencies. Conclusions Given the substantial benefits that urban areas can obtain from attracting multinational firms, our results provide new evidence of the contribution of transport infrastructures to local development. From a policymaker perspective, regional policies aimed at attracting FDIs must contextually promote the development of transport infrastructure and in particular international airports. Investments to improve air transport capacity, strategies to attract both traditional and low-cost airlines, providing legal authorization or financing ground transport are all critical aspects for the success of such policies.

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Connectivity of the European airport network: “Self-help hubbing” and business implications

Cited by 135 publications

References 24 publications

How air transport connects the world – A new metric of air connectivity and its evolution between 1990 and 2012

How air transport connects the world – A new metric of air connectivity and its evolution between 1990 and 2012

Applying complexity science to air traffic management

Air connectivity and foreign direct investments: economic effects of the introduction of new routes

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