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The highly competitive and rapidly changing environment faced by businesses has greatly increased the need for strategic planning. The importance of formulating strategies to reach competitive advantages with implications in the performance is becoming increasingly evident in the seaport context. Thus, it is relevant and appropriate to apply strategic positioning tools to seaports given the role of competitive strategies in the growth and development of this industry. This research aims to analyse the strategic positioning of the leading Iberian Peninsula seaports (Portuguese and Spanish seaports) using the Boston Consulting Group (BCG) matrix as a strategic tool in an evolutionary perspective. The portfolio analysis developed subsequently focuses on the annual data of eight seaports in a selected period of 18 years (1992–2009) and on five categories of traffic: liquid bulk (LB), dry bulk (DB), containers (CO), ro-ro (roll-on/roll-off) and conventional cargo (CC). This research allows us to compare and analyse different levels of performance and identify which of the seaports have improved their strategic positioning during the considered period. The findings reveal a better positioning of Spanish seaports in relation to total traffic and that most of the seaports in the BCG matrix had changed from the first to the third period. The seaport of Valencia is the only one that has maintained its Star Performer position in all the 18 years analysed. Furthermore, considering container traffic, the results evidence the seaports of Algeciras, Valencia and Barcelona as having attained a remarkable position of leadership.  相似文献   
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Studying the logistics resource relationship within the framework of the overall performance of the main Iberian seaports performance, this article discusses how to apply the linear additive multi-criteria analysis (MCA) model and principal component analysis (PCA) to such an industry. The model incorporates the contribution of two different performance indicators—operational performance and physical capacity—measured by several indicators. First, we gather the 2009 annual data on the total cargo throughput of 16 seaport container terminals. The PCA method is then applied to attain the loading factor of each indicator and to normalize the redundancy in indicators and thereby generate meaningful results. We correspondingly find (a) operational performance contributed 48.77% while the physical capacity contributed 51.23% to overall performance; (b) the majority of seaports reveal a direct proportionality between their positioning in terms of physical capacity and their overall performance positioning; (c) this relationship changes whenever the difference in indicator value proves significant; and hence (d) this model demonstrates both its applicability and reliability in the case of the Iberian seaport industry and the relevance of encouraging multiple decision-makers to carefully consider identifying key criteria out of a given set of alternatives.  相似文献   
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Transportation - Autonomous vehicle (AV) technologies are under constant improvement with pilot programs now underway in several urban areas worldwide. Modeling and field-testing efforts are...  相似文献   
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Transportation - This paper presents a systematic way of understanding and modeling traveler behavior in response to on-demand mobility services. We explicitly consider the sequential and yet...  相似文献   
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Transportation - Large scale activity-based simulation models inform a variety of transportation and planning policies using models that often rely on fixed or flexible workplace location in a...  相似文献   
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