上海交通大学学报(自然版) ›› 2015, Vol. 49 ›› Issue (04): 450-456.

• 交通运输 • 上一篇    下一篇

经济分布形态下的地区交通投资结构优化

于海松,蒲云,刘海旭,王周全   

  1. (西南交通大学 交通运输与物流学院,成都 610031)
  • 收稿日期:2014-07-07 出版日期:2015-04-28 发布日期:2015-04-28
  • 基金资助:

    国家自然科学基金资助项目(51278429)

Regional Transportation Investment Structure Optimization Under Economic Distribution Pattern

YU Haisong,PU Yun,LIU Haixu,WANG Zhouquan   

  1. (School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China)
  • Received:2014-07-07 Online:2015-04-28 Published:2015-04-28

摘要:

摘要:  为了对地区交通投资结构进行有效决策,基于交通基础设施产生的地区自身经济增长和地区间经济诱增,以地区交通投资的经济效益最大化为目标,以经济分布形态的协调进化为约束,构建交通基础设施的地区投资结构优化模型.该模型结合柯布道格拉斯生产函数、引力场理论和Zipf法则,采用启发式算法对成都市统计数据进行仿真计算.结果表明,该模型可有效分析不同的地区交通投资结构对经济效益和经济形态的影响,提出政府对经济分布形态的干预强度是地区交通投资结构优化的关键,对交通基础设施的地区投资分配决策具有参考价值.

关键词: 交通运输经济, 交通基础设施, 分布形态, 投资结构, Cobb-Douglas生产函数

Abstract:

Abstract: To make effective decisions on regional transportation investment structure, considering self-regional and inter-regional induced economic growth that transportation infrastructure generated, a regional transport infrastructure investment structure optimization model was built, by defining maximum economic benefits of regional investment as objective function, coordination evolution of economic distribution pattern as constraints. The model combined CobbDouglas production function, Gravitation field theory and Zipf law, using heuristic algorithm to simulate Chengdu statistics. The results indicate that the model is valid for analyzing the influence of regional transportation investment structure on economic efficiency and distribution pattern. It is proposed that the key to the regional transportation investment structure optimization is the intervention intensity of the government on economic distribution pattern. The conclusion can provide strategic reference for decision making on regional transportation investment structure.

Key words: transportation economy, traffic infrastructure, distribution pattern, investment structure, Cobb-Douglas production function

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