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Studying Road Transportation Demand in the Spanish Industrial Sector Through k-Means Clustering

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International Joint Conference SOCO’18-CISIS’18-ICEUTE’18 (SOCO’18-CISIS’18-ICEUTE’18 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 771))

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Abstract

Transportation is the economic activity that is the most tightly coupled with the other ones. As a result, knowledge about transportation in general, and market demand in particular, is key for an economic analyisis of a sector. In present paper, the official data about the industrial sector, coming from the Ministry of Public Works and Transport in Spain, is analysed. In order to do that, k-means clustering technique is applied to find groupings or patterns in the dataset that contains data from a whole year (2015). Samples allocation to clusters and silhouette values are used to characterize the demand of the industrial transportation. Useful insights into the analysed sector are obtained by means of the clustering technique, that has been applied with 4 different criteria.

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Author information

Authors and Affiliations

  1. Departamento de Ingeniería Civil, Escuela Politécnica Superior, Universidad de Burgos, Av. Cantabria s/n, 09006, Burgos, Spain

    Carlos Alonso de Armiño, Miguel Ángel Manzanedo & Álvaro Herrero

Authors
  1. Carlos Alonso de Armiño
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  2. Miguel Ángel Manzanedo
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  3. Álvaro Herrero
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Corresponding author

Correspondence to Álvaro Herrero .

Editor information

Editors and Affiliations

  1. Computational Intelligence Group, University of the Basque Country, Sarriena, Vizcaya, Spain

    Manuel Graña

  2. Computational Intelligence Group, University of the Basque Country, Sarriena, Vizcaya, Spain

    José Manuel López-Guede

  3. Computational Intelligence Group, University of the Basque Country, Sarriena, Vizcaya, Spain

    Oier Etxaniz

  4. Department of Civil Engineering, University of Burgos, Burgos, Burgos, Spain

    Álvaro Herrero

  5. University of Salamanca, Salamanca, Salamanca, Spain

    José Antonio Sáez

  6. Department of Industrial Engineering, University of A Coruña, La Coruña, La Coruña, Spain

    Héctor Quintián

  7. University of Salamanca, Salamanca, Salamanca, Spain

    Emilio Corchado

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Alonso de Armiño, C., Manzanedo, M.Á., Herrero, Á. (2019). Studying Road Transportation Demand in the Spanish Industrial Sector Through k-Means Clustering. In: Graña, M., et al. International Joint Conference SOCO’18-CISIS’18-ICEUTE’18. SOCO’18-CISIS’18-ICEUTE’18 2018. Advances in Intelligent Systems and Computing, vol 771. Springer, Cham. https://doi.org/10.1007/978-3-319-94120-2_37

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