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Supply chains deliver goods and services between shippers and receivers, covering collection, transportation, distribution as well as their handling and storage in between. In particular, transportation services are carried out by different transport modes. In some modern supply chains, different categories of air cargo carriers – combinations, freighter-only, and/or integrators – provide critical transport services.

This chapter develops a methodology for estimating the performance of supply chains served by an air cargo carrier network. The methodology is based on indicators of infrastructure use, technical/technological level, operational factors, economic factors, and environmental performance. This proposed methodology is applied to estimate performance of supply chains served by an integrated air cargo carrier – FedEx Express – operating a single hub in the US domestic air network. Results indicate that the methodology may be useful for estimation of overall supply chain performance under the condition that relevant data are available.

Purpose – This study aims to analyze and assess the relation of freight transportation for regional development in the north zone of Aceh. The impact of freight transportation to accelerate the delivery of goods as observed through several indicators including regulation, retribution, freight entrepreneur, trucker, size of truck bin, punctuality, loading and unloading systems on regional planning supporting has been focus of this study.

Design/Methodology/Approach – The freight transportation in north zone of Aceh, covering Lhokseumawe, Aceh Utara, Bireuen, BenerMeriah and Aceh Tengah regencies will be examined. In several indicators including regulation, retribution, freight entrepreneur, trucker, size of truck bin, punctuality, loading and unloading systems the freight transportation will be surveyed for the analysis. The factors which contribute in the development of the area through freight transportation are the economic growth, human resources improvement, management of land use and environmental harmonization. This regional development approach aims to determine a connection between the two variables.

Findings – The results of the study show that variables of freight transportation in several indicators including regulation, retribution, freight entrepreneur, trucker, size of truck bin, punctuality, loading and unloading systems have a significant impact on regional development. It is indicated by the value of 0.214 in the regression weight result.

Research Limitations/Implications – This research has implications on the relation of freight transportation with regard to several indicators including regulation, retribution, freight entrepreneur, trucker, size of truck bin, punctuality, loading and unloading systems on the regional development based on the aspect of economic growth, human resources improvement, management of land use and environmental harmonization.

Practical Implications – The result of this study will be an important input to the Aceh government, county and city governments in the north zone in Aceh to encourage the establishment of a road network to accelerate freight transportation in that region for the development of new economic zones.

Originality/Value – This study suggests that freight transportation has the strongest links to significantly influence the activities of regional development, so it can be recommended for the Aceh government, county and city governments in the north zone of Aceh to orient road network policy towards the development of the new economic area and support the implementation of the special economic zones of Arun, Lhokseumawe.

This chapter explores a descriptive theory of multidimensional travel behaviour, estimation of quantitative models and demonstration in an agent-based microsimulation.

A descriptive theory on multidimensional travel behaviour is conceptualised. It theorizes multidimensional knowledge updating, search start/stopping criteria and search/decision heuristics. These components are formulated or empirically modelled and integrated in a unified and coherent approach.

The theory is supported by empirical observations and the derived quantitative models are tested by an agent-based simulation on a demonstration network.

Based on artificially intelligent agents, learning and search theory and bounded rationality, this chapter makes an effort to embed a sound theoretical foundation for the computational process approach and agent-based micro-simulations. A pertinent new theory is proposed with experimental observations and estimations to demonstrate agents with systematic deviations from the rationality paradigm. Procedural and multidimensional decision-making are modelled. The numerical experiment highlights the capabilities of the proposed theory in estimating rich behavioural dynamics.