Abstract
A programming model for a four-layer urban logistics distribution network is constructed and revised based on three types of carbon emissions policies such as Carbon tax, carbon emissions Cap, Carbon Trade. Effects of different policies on logistics costs and carbon emissions are analyzed based on a spatial Logistics Infrastructure layout of Beijing. Research findings are as follows: First, based on low-carbon policies, the logistics costs and carbon emissions can be changed by different modes of transport in a certain extent; second, only when carbon taxes and carbon trading prices are higher, carbon taxes and carbon trading policies can reduce carbon emissions while not significantly increase logistics costs at the same time, and more effectively achieve carbon reduction targets than use carbon cap policy.
Highlights
2 LITERATURE REVIEWThere is a long-term debate about urban logistics because it involves environmental pollution, traffic jams and traffic accidents which are three most prominent problems in city
The results show that transportation costs and carbon emissions are mainly affected by carbon trading price not by carbon cap based on the carbon trade policy
By the comparison of transportation costs and carbon emissions based on different policies, we find that carbon tax and carbon trade policies are effective in the case that does not affect the normal operation of supermarkets
Summary
There is a long-term debate about urban logistics because it involves environmental pollution, traffic jams and traffic accidents which are three most prominent problems in city. This paper will investigate the impact of the three most common carbon policies on the city logistics distribution, and it includes the design of the city logistics network. The literature review for this paper covers two main areas of research: the research on city logistics network design and the study of carbon policies. Diabat and Simichi-Levi (2010) formulated a mixed-integer program for a company to design their optimal supply chain network while meeting their carbon cap Their model focused on the impact of one carbon policy and did not consider transport vehicle type choice. We design a four-layer urban logistics distribution network and introduce programming models based on three carbon policies: carbon tax, carbon emissions cap and carbon trade
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