Uso de big data para compreensão do fenômeno do transporte urbano de cargas: uma análise da geração de entregas

Abstract

This work propose analyses the phenomenon of urban freight transport from the perspective of the freight generation deliveries, based on the use of secondary data, organized in a big data obtained from data of fiscal documents. Researchers have limited knowledge about the urban freight transport, because freight transport information are scarce. In this paper, fiscal documents big data as a source of information to freight transport comprehension is available. However, it was necessary to select the data contained in the fiscal documents that could assist in obtaining production and trip attraction without violating the company's fiscal confidentiality. Considering the data obtained, it was analyzed the features of the generation of trips for freight transport over time as for spatial distribution by region and economic activity. There was a trend towards a decentralization of the generation of goods deliveries, in addition to the fact that smaller, but agglutinated establishments have a greater participation in the attraction of deliveries than large establishments together.