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Logistic Modeling of the Last Mile: Case Study Santiago, Chile

doi: 10.3390/su12020648
This research proposes a new distribution system of goods in the historical center of the city of Santiago, Chile. For the design of the urban logistic system, the methodology city logistics and last mile are used. This design incorporates to the freight transport flexible solutions that improve the efficiency of the distribution process and trade supply, minimizing the environmental impact of the atmospheric pollution (AP). The proposal was made through the data collection, the characterization of the sector and the diagnosis of the urban logistics processes. The analysis of the factors allowed to evaluate the costs of the AP negative externalities. The causes were used as design criteria for the proposals, with the aim of improving the quality of life of the city users. The physical location selection of the Cross-Docking was made through an optimization model of maximum coverage. The optimization algorithm of the nearest neighbor was proposed for vehicle routing. The analytic hierarchy process (AHP) was used to generate a ranking of the best non-polluting vehicles to be used in the zone. Finally, the results obtained allowed a 53 ton decrease in carbon dioxide in the square kilometer and reduced 1103 h of interruptions per year in the vehicular congestion of the sector.
- University of Santiago Chile Chile
- San Sebastián University Chile
- Central University of Chile Chile
- Universidad Bernardo O'Higgins Chile
- Central University of Chile Chile
Environmental effects of industries and plants, atmospheric pollution, TJ807-830, TD194-195, Renewable energy sources, last mile, Environmental sciences, city logistics, GE1-350, urban logistics, historical center
Environmental effects of industries and plants, atmospheric pollution, TJ807-830, TD194-195, Renewable energy sources, last mile, Environmental sciences, city logistics, GE1-350, urban logistics, historical center
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).25 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
