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Measuring foreland container port connectivity disaggregated by destination markets: An index for Short Sea Shipping services in Spanish ports

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  • Martínez-Moya, Julián
  • Feo-Valero, María

Abstract

The present research aims to develop a Foreland Port Connectivity Index (FPCI) including both qualitative and quantitative variables related to the characteristics of the maritime services provided. To that end, the FPCI incorporates two discount factors—the number of shipping services and destination countries—as penalties to correct for the quality of a port connection. After defining the FPCI, the index is applied to Spanish ports to study their connectivity in terms of container Short Sea Shipping (SSS) services. Although the connectivity of SSS traffic has not been widely studied, it is an interesting case study as small ports play a more relevant role in facilitating access to international markets for importing and exporting companies. According to the results, the port of Valencia is the most connected, followed by the ports of Barcelona and Algeciras. Furthermore, this is the first research paper to attempt to study foreland port connectivity disaggregated by destination market. This geographical approach enables a more precise identification of the main port competitors by destination market, thereby providing more detailed information to support port managers and policy-makers in their decision-making.

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  • Martínez-Moya, Julián & Feo-Valero, María, 2020. "Measuring foreland container port connectivity disaggregated by destination markets: An index for Short Sea Shipping services in Spanish ports," Journal of Transport Geography, Elsevier, vol. 89(C).
    • Handle: RePEc:eee:jotrge:v:89:y:2020:i:c:s0966692320309509
    DOI: 10.1016/j.jtrangeo.2020.102873
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    Cited by:

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    2. Hou, Weilu & Shi, Qin & Guo, Liquan, 2022. "Impacts of COVID-19 pandemic on foreign trade intermodal transport accessibility: Evidence from the Yangtze River Delta region of mainland China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 419-438.
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    4. Pisit Jarumaneeroj & Amar Ramudhin & Jorge Barnett Lawton, 2023. "A connectivity-based approach to evaluating port importance in the global container shipping network," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(3), pages 602-622, September.
    5. Martínez-Moya, Julián & Feo-Valero, María, 2022. "Do shippers’ characteristics influence port choice criteria? Capturing heterogeneity by using latent class models," Transport Policy, Elsevier, vol. 116(C), pages 96-105.
    6. Feo-Valero, María & Martínez-Moya, Julián, 2022. "Shippers vs. freight forwarders: Do they differ in their port choice decisions? Evidence from the Spanish ceramic tile industry," Research in Transportation Economics, Elsevier, vol. 95(C).
    7. Tovar, Beatriz & Wall, Alan, 2022. "The relationship between port-level maritime connectivity and efficiency," Journal of Transport Geography, Elsevier, vol. 98(C).

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