基于货运量预测的物流园区用地规模研究
2016-05-31唐小鸿晏永刚
唐小鸿+晏永刚


摘 要:“一带一路”的战略背景,给物流业带来新的发展机遇的同时,也面临着巨大的挑战。物流园区作为物流业的载体,应充分发挥其高效配置物流资源的能力,提高物流运行效率,最大限度满足物流用地集约和节约化原则。为科学合理确定物流园区的用地规模,文章在建立遗传算法优化BP神经网络模型对货运量进行预测的基础上,改进了基于全社会物流总量的物流园区用地规模测算公式,提高了预测的精确度和操作的可行性,规避了传统参数法、时空消耗法等在物流园区用地规模预测上存在的局限性;并以重庆市为例,确定了重庆市2020年的物流园区用地规模需求,以期为“十三五”区域中长期物流规划及政府有关部门制定相关政策提供有益的参考借鉴。
关键词:物流园区;用地规模;GA-BP;货运量预测
中图分类号:F719 文献标识码:A
Abstract: The logistics industry is also faced with great challenges when it seizes new development opportunities under the strategic background of“one belt and one road”. As the carrier of the logistics industry, logistics park should make full use of its efficient logistics resources allocations and improve the logistics efficiency, so as to meet the principle of land intensive and economical use of logistics. To determine the logistics park scale scientifically and reasonably, this paper establishes a BP neural network model optimized by genetic algorithm to forecast the freight volume. Then it improves the calculating formula of land use for logistics park based on total social logistics, which not only is beneficial to enhancing the accuracy of forecast and the feasibility of operation, but also circumvent the limitations of land use prediction in logistics park of the traditional parameter method, space time consumption method. This paper takes Chongqing as an example to determine the logistics park scale of land demand of 2020, in order to provide a useful reference to medium and long term regional logistics planning in“thirteen five”and government's formulating relevant policies.
Key words: logistics park; land size; GA-BP; freight volume forecast
0 引 言
根据中国物流与采购联合会发布的《中国采购发展报告(2014)》显示,2013年我国社会物流总费用超过10万亿元,占GDP比重为18.0%,是美国8.5%的2倍有余,物流成本明显偏高。该报告表明物流运行效率低下仍然是影响资源配置效率和国民经济转型发展的重要瓶颈。2013年9月10日,中国国家主席习近平分别提出了建设“新丝绸之路经济带”和“21世纪海上丝绸之路”的战略构想。这一战略结合海陆布局,推进沿线交通建设,开创了跨地区跨国之间的新型合作,为我国物流业的发展提供了新的机遇。而物流园区作为现代物流的载体,在降低物流成本、提升企业生产效率、改善区域发展环境的同时也面临着许多规划不合理和盲目建设等问题,一定程度上阻碍了物流业的发展。……
