Optimization for Multiclass Residential Location Models with Congestible Transportation Networks
Optimization for Multiclass Residential Location Models with Congestible Transportation Networks
复制标题
具有拥堵交通网络的多类别住宅选址模型的优化
DOI：
10.1287/trsc.2014.0522
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
J. Ying
中科院分区：
文献类型：
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作者：
J. Ying
基于交通网络均衡模型的道路拥挤收费方案优化设计已经得到了广泛的研究。由于出行需求与工作地点和居住地点密切相关，因此将优化方法扩展到地点选择以及出行路线选择具有重要的理论和实践意义。
本文研究了具有不同出行时间的异质住户的综合选址和交通模型中的住房供应和交通网络定价的最优选址问题。在该模型中，住房表现出外部经济和规模不经济，这取决于居住区的人口密度。结果表明，在这样一个模型中，边际成本定价原则适用于内部化这些外部性在一般的结果在局部最优的社会剩余。基于灵敏度分析的优化算法，提出了在各种条件下优化社会剩余的住房供应模式和道路收费的组合。最后给出了一个数值例子来说明所提出的方法。潜在的政策影响的最优化方法进行检查和比较的边际成本定价原则。
There has been extensive research on the optimal design of road congestion pricing schemes based on traffic network equilibrium models. Since travel demands are closely related to the locations of workplace and residence, it is of both theoretical and practical importance to extend the optimization approach to treat location choices as well as travel route choices.
This paper addresses the problem of optimal location of housing supply and transportation network pricing in an integrated location and transportation model with heterogeneous households that have different values of travel time. In the model, housing exhibits external economies and diseconomies of scale, depending on the population density in residential zones. It is shown that in such a model the marginal cost pricing principle applied to internalize these externalities in general results in local optima of social surplus. Optimization algorithms based on sensitivity analysis are proposed to find combinations of housing supply patterns and road tolls that optimize social surplus under various conditions. A numerical example is given to illustrate the proposed method. The potential policy implications of the optimization approach are examined and compared with that of the marginal cost pricing principle.