Abstract:The advent of new technologies in last mile deliveries is about to cause a disruption in the traditional business model applied in urban cargo transportation, thus presenting innumerous research opportunities in this field of knowledge. In this context, identifying new operation models and vehicles that could be applied for last mile deliveries in urban areas becomes crucial. Therefore, this paper aims to identify, through a systematic literature review, the main types of vehicles addressed in the literature that could be used in the last mile of urban freight distribution in order to increase the sustainability of this type of operation. The results indicate a trend for the implementation of smaller and lighter vehicles for last mile deliveries in urban areas: 47% of the studies suggest, among other alternatives, the use of bicycles and tricycles; while 53% of the articles support the use of light commercial vehicles. Another trend observed in this type of distribution, indicated in 64% of the studies, is the shift from conventional (fossil fuels) to alternative sources of energy (electricity).

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HM input in the atmosphere was mainly associated with anthropogenic sources such as vehicle exhaust. Elemental analysis detected HM in the inhalable particles, indicating that those HMs may intensify the toxic effects of PM on human health. Our results indicated T. usneoides as an adequate biomonitor of HM in the PM belonging to the inhalable fraction.

Soybean is a commodity that has an important influence on the Brazilian economy because it accounts for the largest share among the grains in the export market. Its main production centers excel in regions far from major consuming centers, requiring long commutes especially in road transport. The distance is the most influential factor in transport costs and is directly related to the freight. To define actual road distances, particularly in unfamiliar roads, it is necessary to use a correction factor. In addition to estimating a better correction factor, the paper aims to contribute by developing a procedure to identify this factor. This paper will analyze the relationships between existing Euclidean distances in numerous points, the producing centers and Brazilian's ports, performing comparisons between the correction factor obtained by calculation in this article with the factors obtained by other authors, also seeking to relate the road distances calculated based on intervals and freight. The advantage of obtaining a more accurate factor k is to allow the results of different location, such as p-median be more accurate. The result was satisfactory when comparing with the existing literature.

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