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Low-Carbon Planning and Design in B&R Logistics Service: A Case Study of an E-Commerce Big Data Platform in China

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School of Business Administration, Northeastern University, Shenyang 110167, China
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Sustainability 2017, 9(11), 2052; https://doi.org/10.3390/su9112052
Received: 18 September 2017 / Revised: 4 November 2017 / Accepted: 7 November 2017 / Published: 15 November 2017
The concept of sustainable development requires us to explore a completeness model of low carbon transport and service in the light of the advancement of changes in world cooperation policy. Various kinds of carbon constraints not only limit emissions of contaminants from E-commerce Enterprise of different countries, but they also ensure the market activity around the Belt and Road, so as to avoid the implementation reducing the company’s profits significantly. This paper discusses of the strictest periodic low-carbon constraints_(PLC) and the expansion of the mainstream with three relatively weak attributes—cumulative_(CLC), full cycle_(FCLC), and volatility_(VLC)—taking into account the offline delivery of lead time and the online relationship between supply and demand on the platform. We have established four decision models with different carbon confinement intensities and inferred the impact of more detailed carbon constraints on E-commerce delivery strategies. The appropriate operational decisions, under a wide spectrum of carbon constraints, help e-companies develop scientific delivery plans, and provide some inspiration for the promotion of low carbon economy system construction and environmental significance. View Full-Text
Keywords: Belt and Road initiative; classification analysis; sustainable e-commerce delivery programming model; Internet plus plan Belt and Road initiative; classification analysis; sustainable e-commerce delivery programming model; Internet plus plan
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MDPI and ACS Style

Ji, S.; Sun, Q. Low-Carbon Planning and Design in B&R Logistics Service: A Case Study of an E-Commerce Big Data Platform in China. Sustainability 2017, 9, 2052. https://doi.org/10.3390/su9112052

AMA Style

Ji S, Sun Q. Low-Carbon Planning and Design in B&R Logistics Service: A Case Study of an E-Commerce Big Data Platform in China. Sustainability. 2017; 9(11):2052. https://doi.org/10.3390/su9112052

Chicago/Turabian Style

Ji, Shoufeng; Sun, Qi. 2017. "Low-Carbon Planning and Design in B&R Logistics Service: A Case Study of an E-Commerce Big Data Platform in China" Sustainability 9, no. 11: 2052. https://doi.org/10.3390/su9112052

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