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This study investigates, both theoretically and empirically, the effects of joint ventures on traffic. Although alliances are a pre-condition for joint ventures, both cooperation agreements are different in their nature. The reason is that alliances are revenue-sharing agreements, whereas joint ventures also involve a cost-sharing commitment. Our empirical analysis focuses on the transatlantic market, including non-stop routings (interhub markets) and one-stopover routings (interline markets). Our theoretical and empirical findings emphasize the relevance of economies of traffic density and reveal a positive effect of joint ventures on traffic, both in interhub and interline markets.

The purpose of this paper is to present the results of South Africa’s national freight demand model and related logistics cost models, and to illustrate the application of the modelling outputs to inform macrologistics policy.

Spatially and sectorally disaggregated supply and demand data are developed using the input-output (I-O) model of the economy as a platform, augmented by actual data. Supply and demand interaction is translated into freight flows via a gravity model. The logistics costs model is a bottom-up aggregation of logistics-related costs for these freight flows.

South Africa’s logistics costs are higher than in developed countries. Road freight volumes constitute 80 per cent of long-distance corridor freight, while road transport contributes more than 80 per cent to the country’s transport costs. These challenges raise concerns regarding the competitiveness of international trade, as well as the impact of transport externalities. The case studies highlight that domestic logistics costs are the biggest cost contributor to international trade logistics costs and can be reduced through inter alia modal shift. Modal shift can be induced through the internalisation of freight externality costs. Results show that externality cost internalisation can eradicate the societal cost of freight transport in South Africa without increasing macroeconomic freight costs.

Systematic spatially disaggregated commodity-level data are limited. There is however a wealth of supply, demand and freight flow information collected by the public and private sector. Initiatives to create an appreciation of the intrinsic value of such information and to leverage data sources will improve freight demand modelling in emerging economies.

A spatially and sectorally disaggregated national freight demand model, and related logistics costs models, utilising actual and modelled data, balanced via the national I-O model, provides opportunities for increased accuracy of outputs and diverse application possibilities.

We investigate the relationship between airline network structure and airport congestion. More specifically, we study the ways in which airlines adjust capacity to delays depending on the network type they operate. We find some evidence suggesting that airlines operating hub-and-spoke structures react less to delays than airlines operating fully connected configurations. In particular, network airlines have incentives to keep frequency high even if this is at the expense of a greater congestion at their hub airports. We also show that airlines in slot-constrained airports seem to react to higher levels of congestion by using bigger aircraft at lower frequencies; thus, we conclude that conditioning the number of available slots on the levels of delays at the airport seems an effective measure that creates the right incentives for airlines to reduce the congestion they generate.

Here we consider the various ways in which airlines integrate their business activities. The thin markets, long distances, poor infrastructure, and challenging terrain over which many airlines based in developing countries operate can make it difficult to reap the economies of scale, scope, and density that carriers in more developed nations enjoy. There also remain institutional barriers to cross border trade in airline services. As a response to this, airlines from developing regions “cooperate” in a number of ways. This may involve multinational ownership, code sharing, or joint ventures. The rationale for these actions, together with discussion of the outcomes of some of them, is considered here.

This chapter provides a critical discussion of air to rail mode substitution. Environmental impacts, intermodal competition and integration are considered, examining advantages and disadvantages as well as opportunities and constraints.

Both operation and life-cycle analysis perspectives show that high-speed rail (HSR) is much ‘greener’ than air transport (per seat-km or per passenger-km) provided that the former achieves high load factors and the latter lower load factors and that freed runway capacity is not reused. HSR travel time is its main competitive advantage against air transport, and a 600-km flight is arguably the current limit for robust intermodal effects.

The potential for air–HSR integration at the airport relies on various service, business and technical constraints. Even when it is successful, its environmental benefit appears to be marginal, if not negative, if airport capacity is reused for longer flights. In the current context, such integration appears more like a business opportunity for airlines, airports and train operators rather than a sustainable option. Yet the environmental benefit of integration may be larger within potential integrated transport policies.

This chapter investigates the effects of economic development, FDI, trade barriers, product characteristics, and air transport network connectivity on both air trade and air cargo demand. The analysis applies gravity model and estimates the air trade and air cargo demand models using seemingly unrelated regressions based on data for the air cargo markets between the United States and its top 61 trading partner countries during the 2004–2019 period. By developing and incorporating “investment distance” as a determining factor in the estimation of air trade, our study fills the gap in literature and sheds light on the importance of air cargo transport in enabling and facilitating the rapid growth of global value chains in recent decades. The results suggest that higher level of FDI between the US and its trading partner countries helps stimulate air trade. Moreover, we also develop several network centrality metrics and examine their relationship with regional air connectivity, which in turn has a positive impact on air cargo traffic. Further analysis using Granger causality tests provides strong evidence supporting the importance of air cargo services as an engine for economic growth and international trade in a dynamic global economic landscape.