| Verified against primary record | |
| What connectivity models count | The number of direct and indirect connections available at an airport[1] |
|---|---|
| What they are measuring | Connectivity models are focused on counting the supply of routes and frequencies[1] |
| Official air statistics | Define passengers, routes and flight stages, and define no connectivity variable at all[2] |
| Records read | A transport forum paper, a statistical metadata record, an aviation body paper, an index working paper and an economics manuscript, 9 October 2026 |
| Independently reported | |
| Nearest causal estimate | A 1 per cent rise in weekly direct flight frequency associated with a 1.2 per cent rise in card spending[3] |
| Bands apply only to the rows beneath them. The card spending estimate is from an unrefereed manuscript about Chinese origin cities and does not concern medical travel. | |
Air connectivity is routinely named as a driver of medical tourism in destination strategy documents and trade commentary. Searches for this entry did not surface a single study using a connectivity measure to explain medical travel volumes, and the term itself turns out to have no single agreed definition.
Four definitions, not one
A transport forum paper gives the most practical account. Connectivity models count the number of direct and indirect connections available at an airport, and are focused on counting the supply of routes and frequencies. They take into account minimum connecting time, maximum detour factor and a definition of what constitutes an online connection, and some attach a weight to each connection depending on its quality relative to a direct flight. One unit in use is described as the number of direct and indirect connections per week, corrected for the quality of each individual connection. The paper observes that many models are available to benchmark the connectivity performance of airports, countries and regions.[1]
An international aviation body’s working paper defines it differently again, as a property of networks that can be defined so as to constitute an indicator of a network’s concentration, and alternatively as the ability of a network to move a passenger from one point to another with the lowest possible number of connections. That document attributes the wording to a 2013 conference record, is itself marked as a draft, and proposes a metric rather than reporting one, grouping candidate indicators under size and concentration, fluidity, and accessibility.[4]
A third approach is a published index grounded in network analysis methods and based on a gravity-like model, covering 211 countries and territories for 2007.[5] It is a single cross-section from nearly two decades ago and is not a current measure.
These measures are not interchangeable. Some weight by destination importance, some include indirect hub connections, some use seat capacity and connection times. Any connectivity score quoted for a medical tourism destination therefore has to name which index produced it, and in practice such scores are quoted without that.
Official statistics do not contain the variable
The reason connectivity is measured by competing private and institutional models is that the official collections do not produce it. European air transport metadata defines passengers carried as all passengers on a specific flight, identified by one flight number, counted once only; it defines origin and destination traffic as traffic on a commercial air service identified by a unique flight number subdivided by airport pairs; and it defines a flight stage as the operation of an aircraft from take-off to its next landing.[2]
That metadata defines no connectivity concept. So connectivity is a derived construct built on top of official traffic data, with the derivation differing between model owners, and it carries no official definition comparable to the hospital statistics discussed elsewhere on this site.
The nearest evidence, and why it is not about patients
One econometric study estimates a causal effect of flight supply on cross-border travel spending, finding that a 1 per cent increase in the weekly frequency of direct flights leads to a 1.2 per cent increase in cross-border card transaction value, and separately that adding one direct flight per month raises traveller spending in the destination country by 49.18 per cent for a city at average weekly frequency. It identifies the effect by instrumenting on overseas improvements in air transportation capacity.[3]
Four conditions must travel with that finding. It is an unrefereed manuscript with no named publication venue. Its outcome is card transaction value, not patient counts. Its origins are Chinese cities only. And the paper does not mention medical travel. Carrying its coefficient across to patient volumes is an unsupported extrapolation, and this entry does not make it.
One further figure circulates in this area and should be handled carefully: a statement that about 60 per cent of available connectivity opportunities do not have direct flights. It appears in an undated conference slide deck with no stated method, and is reported here only with that provenance.
What can honestly be said
That a direct flight makes a journey shorter and cheaper is not in dispute, and it is reasonable to expect that to matter to a patient recovering from surgery. What does not exist, on the searches run for this entry, is any study that measures the relationship for medical travel specifically. Searches combining medical tourism with connectivity indices, route counts, direct flights and panel methods returned general tourism-flow papers and trade advocacy, and no aviation body document mentioning medical or health tourism was found.
Both of those are search results rather than proof of absence. The practical consequence is that a destination claiming air connectivity as a competitive advantage for medical travel is making a plausible argument, not citing a measured one.
See also
- Language affinity and medical tourism, the other asserted driver, where one test exists
- Medical tourism patient flows, how short most measured flows actually are
- Destination markets in medical tourism, what destination data exists
- Medical tourism indexes, the same problem of competing undisclosed indices
References
- Burghouwt G. Influencing air connectivity outcomes. International Transport Forum discussion paper 2017-24, September 2017. Verified against primary record: the description of what connectivity models count and the connection-unit definition were read. Retrieved 9 October 2026.
- Eurostat. Air transport measurement, passengers, ESMS metadata, avia_pa. Metadata last updated 2 September 2026. Verified against primary record: concept definitions read in full, and the absence of a connectivity definition confirmed within the record. Retrieved 9 October 2026.
- Ho CY, Peng T, Takayama H, Xu L. Air connectivity and international travel, evidence from cross-border card payments. Manuscript dated 19 August 2025; no publication venue named on the document. Provider-supplied: author’s own web copy of an unrefereed manuscript. Retrieved 9 October 2026.
- International Civil Aviation Organization, South American Regional Office. Strategic plan to support air transport in the SAM region, connectivity module, marked draft, undated, with the related regional paper on conceptualising connectivity, 29 September 2017. Verified against primary record: definitions and indicator taxonomy read; the document attributes its definition to a 2013 conference record. Retrieved 9 October 2026.
- Arvis JF, Shepherd B. The air connectivity index, measuring integration in the global air transport network. World Bank policy research working paper WPS 5722, 1 June 2011. Independently reported: publisher repository record and abstract read; the formula and input variables were not retrievable. Retrieved 9 October 2026.
Sourcing note: the transport forum paper, the air transport metadata, the aviation body papers, the index working paper and the economics manuscript were opened and read on 9 October 2026, the index at abstract level only. The card spending coefficients are reproduced only with the manuscript’s unrefereed status, its outcome variable and its Chinese origin cities attached, because they are the nearest available estimate and are not about medical travel. The statement that about 60 per cent of connectivity opportunities lack direct flights is reported with its undated slide-deck provenance and no method. No study linking air connectivity to medical travel volumes was located, which is a search result rather than proof that none exists.