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Network Analysis to Model and Analyse Roman Transport and Mobility

de Soto, Pau·2019·Computational Social Sciences
DOI 10.1007/978-3-030-04576-0_13
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Abstract

The analysis of Roman infrastructures, which helps to understand the transport costs, the commercial routes and the territorial configuration, is an indispensable way to know the benefits and shortcomings of the transportation system created in Roman times. It is well known that the Roman Empire built the first big transport network in Western Europe, parts of Eastern Europe, the Middle East and Northern Africa. In this paper, we show our attempt to reconstruct the Roman transport conditions in Hispania by valuating its connectivity and by modelling the travel costs and times. All of these calculations have been made based in a highly digitized transport network and Network Science applications. The results of such methodologies provide us with new information to understand the Iberian territorial organisation, the distribution of commodities, product competition and problems of stagnation in ancient economies such as that of Ancient Rome.

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  • A sea speed of 2.0 to 2.5 knots fits centrally in Whitewright's (2011) range of speeds for ships of the first century BCE and is consistent with de Soto (2019: 281) who estimates an average speed of 2.3 knots for coasting journeys.

    “In addition to fitting centrally in Whitewright's (2011) range of speeds for ships of the first century BCE, it is consistent with de Soto (2019: 281) who estimates an average speed of 2.3 knots for coasting journeys.”

    From Budget travel in the Mediterranean: a methodology for reconstructing ancient journeys through least cost networks (2022) · cites this paper as de Soto (2019: 281)

    Section 13.3.3 gives an average speed of 2.3 knots for maritime transport and discusses cabotage immediately before it. It does not identify 2.3 knots as an average specifically for coasting journeys. The comparison with Whitewright is not attributed to de Soto. (LLM, conf=0.84)

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Research works printed but not linked: 34

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Metadata

Authors
de Soto, P.
Venue
Computational Social Sciences
Publisher
Springer International Publishing
Published
2019
Pages
271-289
ISSN
  • 2509-9574
  • 2509-9582
DOI
10.1007/978-3-030-04576-0_13
Cited by
33
References
0
Language
en
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