DATA MINING USEFULNESS FOR REGIONAL HIGHWAY AND CARGO PLANNING: THE CASE OF BOLIVIA, EVALUACION DE LA UTILIDAD DE LA MINERIA DE DATOS PARA LA PLANEACION DE VIAS PARA EL TRANSPORTE DE CARGA REGIONAL CASO DE ESTUDIO: BOLIVIA

Emma Vanessa Casas Medina and Carlos Alberto Gonzalez Camargo

Revista Internacional Administracion & Finanzas, 2011, vol. 4, issue 4, 61-73

Abstract: In the study, we evaluate the usefulness of data mining for road transportation planning in Bolivia. We conducted a data mining exercise using information generated by the National Institute of Statistics. The study is limited to the states as established by political division of Bolivia. During the development of the study, we identified regional clusters with relevant areas for investment in transport infrastructure that may lead to improved competitiveness. We performed a correlational analysis using data mining. We analyzed the components, factors and identified clusters. We compared this information with the map of existing roads and their characteristics. Finally, we analyzed the reason why some projects were not considered by the IIRSA initiative. We concluded that data mining is a useful tool to solve classification problems in transportation planning.

Keywords: Cargo; Data Mining; Logistic (search for similar items in EconPapers)
JEL-codes: F23 R42 R48 (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:ibf:riafin:v:4:y:2011:i:4:p:61-73

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