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现代绿色物流系统的建设要求物流链上各环节按照绿色理念建设运营.本文将绿色物流的思想引入内陆港选址问题，建立了考虑噪声、事故、拥挤、碳排放等环境因素的广义费用函数，并根据内陆港建设决策方与货主之间的主从递阶决策关系，构建了可兼顾投资者与货主对成本要求的内陆港双层规划选址模型.模型上层目标为在允许的投资范围内确定内陆港地址，使得系统总成本最小；下层目标为货主在各内陆港之间分配运输需求量，使得总支出费用最低.并设计了基于遗传算法的求解方法.实例分析表明，本文建立的绿色理念下的内陆港双层规划选址模型是有效的，同时遗传算法可以产生稳定的最优解.

Location Model and Solution for Inland Ports Based on Green Conception

Green conception should be considered when constructing and operating nodes in logistics chain to establish modern green logistics system. This paper applies the green conception into the location problem of inland ports. Environmental factors such as noise, accidents, crowd and emissions are taken into consideration when formulating generalized cost function. Meanwhile, a bi level programming location model that can satisfy the cost needs of both decision makers and shippers is established considering the leader follower relationship between two parties. The upper target is to choose an inland port location to minimize the total cost in the system, and the lower target is to allocate the transportation need of the shippers and to minimize the total cost for them. The genetic algorithm is adopted to solve the model. The empirical study shows the model is effective and the genetic algorithm can generate stable optimal solution.