Airport Security Factors

According to the study published by EUROCONTROL in July 2009 factors that may influence the transport of passengers may be:

• airport security measures

Security particularly affects air transport and reduces its competitiveness in the transport market. Airport security is key. However, 100% secure airport transit is impossible to guarantee; and related costs and inconvenience are becoming paramount. Airport security checks affect the willingness of the passengers to travel. This was seen after 9/11 with increased restrictions and new, drastic procedures. This has caused inconvenience to the passenger, and has also increased airport operating costs by USD 0.5 per passenger. This may not seem a great deal, but - when multiplied by a couple of

On the one hand, this assumes that the network will be established to these locations, and on the other, it assumes that it will not continue further, to Scotland. Extension to Scotland would potentially capture a much larger share of domestic UK air traffic. A high speed network 2 will be vital to the success of regional airports. HS2 will link the three airports of Birmingham, Manchester and East Midlands with London. Furthermore, journey times will be competitive - a journey from London Euston to Birmingham Airport will be less than 50 minutes and approximately 65 minutes to Manchester - in comparison the Heathrow Express service to London Paddington takes 25

The air travel demand is not only needed by the airport planner but also the airlines, the manufactures, the sub-system suppliers and national transport planning all need forecasts of air transport activity. All this activity of passenger air transport is organized under the umbrella of profitability. If the money invested in this area of unprofitable capital will refocus other economic areas.

4.1 Empirical Approaches on Determinants of Air Transport Demand

Among the studies that have examined various aspects of analysis and forecast demand for air transport mention:

Study conducted by Ghobrial (1992), presents an econometric model that estimates the aggregate demand for an airline. The demand is expressed in terms of airline network structure, operating characteristics and firm-specific variables. Model formulations with various combinations of explanatory variables are estimated using a two-stage least-square procedure. The results indicate that ‘airline aggregate demand’ is elastic with respect to yield, and inelastic with respect to network size and hub