Abstract: The passenger and freight networks of high-speed railway are combined in a model to analyze the impacts on the industrial transfer and the transportation patterns of the export freight. From the micro-perspective of firm’s choice behavior, the lowest total production cost of firms in the same industry and the related highest total QOL (quality of life) of labors are taken as the objectives of the bi-objective mixed integer planning model. Taking the Pan Pearl Delta as an example, the paper uses the bi-level genetic algorithm to solve the model. The result shows that the optimized networks are able to improve the transportation situation across the inland and coastal regions as well as promote an industry transfer from coastal to inland regions. A large amount of derived freight may probably choose other coastal ports except the Pan Pearl Delta linked by the Fiveschedule Train lines.

Key words: railway transportation, industrial transfer, bilevel genetic algorithm, network optimization, highspeed passengerdedicated railway line, fivescheduled train

摘要： 为研究整个区域内高速铁路客运和五定班列货运线网建设对产业转移及其出口产品运输格局的影响，从微观的企业选择行为角度出发,基于铁路客货线网建设的波及效应,以产业中所有企业的总生产成本最低及其从业的劳动力总生活质量(QOL)最高为目标，构建组合优化铁路客运和货运线网的双目标混合整数规划模型.以泛珠三角地区为例，运用双层遗传算法进行数值计算.结果表明，优化的铁路客货线网将不但改善内陆至沿海地区的客货运输状况，而且促进沿海地区的产业向内陆转移，使得大量出海货物除选择珠三角港口群之外，还选择开行五定班列货运专线的其他港口.

关键词: 铁路运输, 产业转移, 双层遗传算法, 线网优化, 高速客运专线, 五定货运班列