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The resilience of domestic transport networks in the context of food security – A multi-country analysis

Author

Listed:
  • Nelson, Andy
  • de By, Rolf
  • Thomas, Tom
  • Girgin, Serkan
  • Brussel, Mark
  • Venus, Valentijn
  • Ohuru, Robert

Abstract

Transport infrastructure and logistics, not least domestic food transport networks, are an integral part of agrifood systems, and play a fundamental role in ensuring physical access to food. However, the resilience of these networks has rarely been studied. This study fills this gap and analyses the structure of food transport networks for a total of 90 countries, as well as their resilience through a set of indicators. Findings show that where food is transported more locally and where the network is denser, systematic disturbances have a much lower impact. This is mostly the case for high-income countries, as well as for densely populated countries like China, India, Nigeria and Pakistan. Conversely, low-income countries have much lower levels of transport network resilience, although some exceptions exist. The study further simulates the effect of potential disruptions – namely floods – to food transport networks in three countries. The simulation illustrates the loss of network connectivity that results when links become impassable, potentially affecting millions of people. Overall, this study provides a first geospatial framework to represent and model national food transport network resilience at a global scale considering not only local production and consumption, but also international trade. It has established a new toolkit for measuring resilience, which promises further use and applications beyond this study. This study aims to help bring the domestic food transport network into focus for The State of Food and Agriculture 2021 – Making agrifood systems more resilient to shocks and stresses.

Suggested Citation

  • Nelson, Andy & de By, Rolf & Thomas, Tom & Girgin, Serkan & Brussel, Mark & Venus, Valentijn & Ohuru, Robert, 2021. "The resilience of domestic transport networks in the context of food security – A multi-country analysis," FAO Agricultural Development Economics Technical Study 319834, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
  • Handle: RePEc:ags:faoets:319834
    DOI: 10.4060/cb7757en
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    References listed on IDEAS

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    1. Simone Bertoli & Michaël Goujon & Olivier Santoni, 2016. "The CERDI-seadistance database," Working Papers halshs-01288748, HAL.
    2. Robert Tibshirani & Guenther Walther & Trevor Hastie, 2001. "Estimating the number of clusters in a data set via the gap statistic," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(2), pages 411-423.
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