Searching for the sweet spot: The determinants of direct services from Canadian airports

In markets for scheduled passenger travel services, demand may be not independent of supply. On airline routes the speed, convenience and frequency of services affect demand along with price and other economic factors. This generates the possibility of multiple equilibria. For 185 domestic Canada and trans-border city-pair routes, of which 101 currently lack non-stop service, we find that twelve of the latter (all trans-border routes) have a “sweet spot” – although current passenger numbers do not justify non-stop service, were this to be introduced, it would turn out to be economically justified by the boost in the attractiveness of the route.     

Forecasting passenger load for a fixed planning horizon

This paper presents a forecasting system for predicting the number of boarding passengers on each of the next N departure dates of a particular flight leg using as input the booking levels made for the next N departure dates of that flight leg. A forecasting system that gives good estimates of future boardings of a particular flight leg is an important and essential tool for route management in the airline industry. The proposed forecasting system consists of a Kalman filter, which optimally integrates a large class of reservation measurements from a variety of sources and at arbitrary times, which is the case of the data, considered here. The accuracy of the predictions for a case study proved to be promising.     

An econometric analysis of domestic air traffic demand in regional airports: Evidence from India

The Indian aviation industry has a vast potential to grow to cater to its population and commerce through developing air transport services to the regional airports. This paper examines the possible determinants of domestic air traffic demand in Indian regional airports serving below three million passengers per annum. Using multiple regression analysis, we find that distance to the nearest airport and accessibility of the airport significantly affect traffic volumes in regional airports. This study also highlights the specificities of Indian regional airports.     

Spatial concentration and connectivity of international passenger traffic at Brazilian airports

This paper examines concentration and connectivity of international passenger airport traffic in Brazil. The analysis considers seat supply and scheduled flights from 1999 to 2012. The 2000–2005 period was marked by concentration and limited international flight links, which was followed by the movement to recover capacity and connectivity from 2005 to 2010. Brazil started to liberalize bilateral agreements in 2002, and eventually moved towards the “open skies” concept in 2010, facilitating the process of operational de-concentration and increasing seat supply. The Brazilian government's liberalisation policy through bilateral agreements did not spark off a significant turnaround for national airlines; rather, the revived traffic growth was led by foreign airlines. This movement brought significant changes in the composition of international passenger traffic in Brazil, although changing little in terms of concentration and connectivity. The real change was the dominance of foreign airlines and seat distribution by regions, with the Latin America and Caribbean region shrinking to less than half of the market.     

A comparative efficiency analysis of Spanish and Turkish airports

AENA in Spain and DHMI in Turkey operate a large majority of the airports in their respective countries. These two airport operators share some similar characteristics, but also present many differences with respect to their management strategies. For instance, the Turkish DHMI introduced a Build-Operate-Transfer (BOT) model and concession agreements, which enables active private participation in airport management. In contrast, management and operation responsibilities at all airports in Spain –with a few exceptions-have remained with AENA. This paper utilizes a data envelopment analysis (DEA) to compare the relative efficiency of airports within AENA and DHMI for the years between 2009 and 2011. Based on the efficiency scores, it further identifies the sources of inefficiencies resulting from various management strategies and other external factors. The results indicate higher average efficiency levels at Spanish airports, but private involvement enhances efficiency at Turkish airports. The majority of the airports in Spain and Turkey operate under increasing returns to scale. Certain policy options, including a higher private involvement and improvement of the airport network by closing some inefficient airports, should be considered in order to increase the airport efficiency in both countries.     

Segmentation of passenger preferences for using digital technologies at airports in Norway

Airports are increasingly focused on implementing digital technologies at key stages of the airport journey to enhance the passenger experience. However, passengers have different preferences. TwoStep Cluster Analysis is used to reveal the presence of distinct segments according to their preferences. The findings are based on a survey of 6082 passengers at airports in Norway. Three distinct segments are identified: those that prefer traditional manual processes, those that prefer automated technology-based processes, and those that prefer more personalised technology-based processes. Significant differences are revealed for each segment according to passenger and trip characteristics and opinions regarding how the use of digital technologies at airports impact on personal privacy and human dignity. The findings contribute to knowledge on passenger preferences at airports and can help to inform airport decision making.     

Determinants of daily fluctuations in air passenger volumes. The effect of events and holidays on Milan Malpensa airport

Air traffic flows show large seasonal variability, but arrivals and departures may also be significantly influenced by specific events which generate peaks, which generate peaks rising above baseline traffic. While seasonal variations of air flows are well studied in literature, the daily variations and their causes are seldom analysed and quantified. The paper aims at filling this gap by exploring and quantifying the effect of holidays and events (conferences, trade fairs, sport events) in terms of passenger daily fluctuations.We identified the elements affecting these variations and searched for correlations with daily demand fluctuations using an OLS econometric model applied to Milan Malpensa airport. The model allows one to reproduce the observed daily traffic, identifying the baseline component of traffic (depending on the calendar) and the additional effect ascribable to holidays and occasional events.Results show which types of events generate a visible traffic increase. The effect of some of them can be very significant indeed. The largest international design and fashion shows taking place in Milan generate up to more than 20% extra passenger traffic compared to the normal baseline traffic. In addition, the analysis showed that their effect is not limited to the event days, but impacted on the surrounding days as well. Holidays also influence the patterns of demand, creating additional traffic on certain days and more pronounced peaks, which also differ according to seasons.     

The impact of terminal re-organisation on belly-hold freight operation chains at airports

While it is widely acknowledged that airport re-organisation from destination to dedicated airline group terminals makes passenger travel more seamless, more efficient and also more profitable for both airlines and airports, there is little known about the impacts of such change on freight and in particular belly-hold cargo chains. Our analysis includes data from all airports in Australia but focuses primarily on the proposed re-organisation of Sydney Kingsford Smith airport. This paper reveals a significant relationship between international freight volumes, terminal organisation and freighter operations. However, our interview results only confirm the volume/aircraft type relationship. The paper aims to contribute to the general discussion on the impact of passenger terminal organisation on belly-hold freight operations and more specifically to the consultation process around airport master planning.     

Air transport policy and its impacts on passenger traffic and tourist flows

This paper attempts to derive policy indices to quantify the restrictiveness of the aviation regimes in the Asia-Pacific region, and use the indices to establish the relationship between people movement and liberalisation in policy. Australia and Singapore have the most liberalised environment in this region. Evidence has been found that passenger traffic between city-pairs has been hampered by the restrictive air transport policies. Restrictions on the air transport sector also have a substantial negative impact on bilateral tourist flows. Further liberalisation in this sector could help build up a stronger tourism industry.     

Estimating hourly variations in passenger volume at airports using dwelling time distributions

A mathematical model using a probability density function of the terminal dwelling time distribution is developed to estimate the number of passengers arriving at an airport terminal at various times. A two-way ANOVA that tests the effects on different airports and access time durations were carried out, and the results showed a significant difference between terminal dwelling times among airports. The paper also provides some insight into airport terminal operation when there are significant changes to flight schedules and the introduction of new airlines, etc.     

The impact of carbon emission fees on passenger demand and air fares: A game theoretic approach

The implementation of an environmental market-based measure on U.S. aviation industry is studied. Under this policy, each airline pays a carbon fee for the carbon dioxide emissions it generates. The impact on ticket prices and corresponding market shares is investigated via the joint estimation of an air travel demand model and an airlines' behavior model. In the demand model, aggregate air traffic data is used to determine the marginal effects of flight attributes that are specific to itinerary, airline and airport on market share. The airline's behavior model incorporates the carbon fee in the airline marginal cost. After the implementation of the carbon policy, the increased cost forces airlines to adjust ticket prices in order to maximize profits. The results obtained by the proposed model indicate a moderate price increase which strongly depends on the per tonne carbon price. Air travel demand falls from 2.4% to 21% depending on the carbon price level.     

Challenges to domestic air freight in Australia: Evaluating air traffic markets with gravity modelling

With two of the busiest air traffic corridors globally, Sydney-Melbourne (SYD-MEL) and Sydney-Brisbane (SYD-BNE), very liberal open skies agreements, and the world's most isolated large city in Perth, air freight in Australia should be destined for substantial growth, but has in contrast to other regions such as the US not yet materialised. This paper identifies challenges surrounding domestic air freight markets in Australia and compares the provision of road vs air freight services utilising gravity modelling methods. Our findings suggest the impedance of domestic air freight services in Australia is greater for regional areas between the primary cities (such as Canberra, between Sydney and Melbourne) than remoter areas (such as Cairns in Northern Australia). Our models show further that in addition to distance, air freight capacity on any of our analysed routes is despite being demand-pulled in terms of GDP dependency significantly attuned to factors at both the origin (in particular domestic trade capability, i.e. manufacturing and logistics) and destination.     

Locational determinants of major US air passenger markets by metropolitan area

The paper examines the influence of metropolitan characteristics in determining the locations of major air traffic markets in the US. In general, the likelihood of a major air passenger market locating in any given metropolitan area is primarily determined by the metropolitan area's population size and overall propensity for air travel. The study shows that on average, a major air passenger market has over 3 million people while a minor market has a population base of about 760,000. The propensity of a population to fly is mainly a function of a number of social and economic indicators, the most important of which was found to be employment in professional–scientific–technical services and management activities.     

Intermodal integration in air transportation: status quo, motives and future developments

Soaring air traffic, increasing urban expansion and airports operating at full capacity are reasons that have caused a discussion about improvements in airport landside access systems. One approach to better match customer demands and address airport congestion is to facilitate the intermodal integration of airports. Building on a survey on intermodal passenger air transportation, we elaborate on the current and future situation at major airports. Our findings indicate a high modal concentration and dependence on individual access modes. However, while airport managers intend to reduce the share of these modes, they plan to increase that of high-occupancy airport access modes. We analyze the underlying motives that cause airports to extend their connections to surface infrastructure. In a case study, we assess an intermodal best practice solution for the integration of air and rail.     

Domestic air passenger traffic and economic growth in China: Evidence from heterogeneous panel models

This paper applies recent panel methodology to examine the short-run dynamics, the long-run equilibrium relationships and the Granger causal relationship between economic growth and domestic air passenger traffic. It is based on the quarterly panel data of 29 provinces in China from the period of 2006Q1 to 2012Q3. Tests for panel unit roots, cointegration in heterogeneous panels and panel causality are employed in a bi-variate panel vector error correction model (PVECM), which is estimated by the system generalized moment method (SYS-GMM). The results show evidence of a long-run equilibrium relationship between economic growth and domestic air passenger traffic. Specifically, 1% increase in the air passenger traffic is found to lead to an increase of 0.943% in real gross domestic product (GDP). A long-run and strong bi-directional Granger causal relationship is found between these two series. It is also found that there is a short-run uni-directional Granger causality running from the domestic air passenger traffic to the economic growth.     

我国铁路客运市场特点及客运专线客流组织原则研究

旅客运输需求是我国铁路客运专线运输组织与经营管理的基础。从市场总量、客流性质、旅客平均运距、跨线客流比例几方面概括我国铁路既有线客运市场的现状特征,基于京津城际铁路客流调查数据,分析城际客运专线客流量的周期性与波动性特征以及客流构成情况。参考国外高速铁路运营的成功经验,提出在坚持路网整体性和产品多样性的前提下,合理运用节拍式列车开行方案,满足旅客出行需求,对我国客运专线客流组织原则及合理开发客运专线产品进行探讨。     

An analysis of the determinants of air traffic volume for European metropolitan areas

This paper examines the determinants of air traffic volume in the major European urban regions, highlighting those that depend on the metropolitan features of cities. We used homogeneous urban and airline data that make international comparisons possible. We found that GDP, the level of economic decision-power, tourism functions, and the distance from a major air market account for more than two-thirds of the variation in air service. This seems to indicate that air service remains profoundly rooted in the metropolitan features of urban regions (notably size and decision-power), even if low-cost airlines are probably less linked to the latter because they partly focus on niche markets and regional airports. Much of the remainder is probably attributable to the specificities of the urban economy, to actors’ strategies and to competition from high-speed trains.     

Determinants of air travel demand in Middle Income Countries

The aim of this paper is to calculate the effects of air travel demand determinants in Middle Income Countries (MICs). Through static and dynamic panel data models from 32 countries during the period from 2002 to 2008, we found that the income elasticity is the most important determinant and that it is slightly higher than one. Income growth multiplied by income elasticity accounts for 75 percent of total passenger growth. Public policies such as an open skies agreements with the European Union have a positive effect on passenger growth, whereas structural changes, such as Low Cost Carrier (LCC) growth, have a marginal effect.     

The role of Advanced Border Controls at Canadian airports

Within the context of debates about globalization, a ‘borderless’ world and ‘aeromobile’ travelers, this paper examines how Advanced Border Control (ABC) programs influenced relations between Canada’s airlines and airports, together with government between 1985 and 2010 and how this contributed to a balance between trade and national security imperatives. We also argue that the September 11, 2001 (9/11) attacks on the U.S. enhanced ABC program importance rather than impeded system development, and we challenge the post-9/11 view, encapsulated by the then U.S. Ambassador to Canada, (the late) Paul Cellucci, that ‘security trumps trade’. Based on interviews with airlines, airports, government agencies, and other influential actors, the analysis contributes to understanding the multi-decade symbiotic relationships between the public and private sectors that overcame political, business and technical challenges to support a ‘Trade with Security’ strategy.