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Network-level scheduling of road construction projects considering user and business impacts

机译：考虑用户和业务影响的道路建设项目网络级调度

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Abstract Construction projects are often associated with partial or full road closures, which result in user costs and community disruptions in terms of reduced business productivity. A number of studies have addressed the problem of scheduling construction projects based on a variety of stakeholder objectives. Yet still, there seems to exist a few gaps regarding (1) possible tradeoffs between road user cost reduction and business cost reduction associated with optimal scheduling, (2) role of the project type (rehabilitation and capacity expansion) on the solution methodology, and (3) lack of solution algorithm to address the problem complexity by deriving the optimal solution. In addressing these gaps, this article adopts a novel approach for developing an optimal project schedule for multiple road projects within a construction horizon. The goal is to minimize the overall cost of the projects to road users and adjacent businesses over the construction horizon. The project scheduling problem is formulated as a mixed‐integer nonlinear program. We solve the problem using a local decomposition method. The methodology is demonstrated using the Sioux Falls city network with two project types: capacity expansion and rehabilitation. The results of the numerical experiment suggest that (1) the solution algorithm converges to optimal solution in finite iterations and (2) a network‐wide scheduling of urban road projects using explicit optimization can yield a significant reduction in business disruption costs while incurring a relatively smaller increase in system travel time, and overall, is superior to a schedule developed only considering the total system travel time.
机译：摘要建设项目通常与部分或全道路封闭有关，这导致用户成本和社区中断，从而降低了业务生产力。许多研究已经解决了根据各种利益攸关方目标调度建设项目的问题。然而，似乎存在有关（1）道路用户成本降低和与最佳调度相关的业务成本减少之间可能的权衡存在一些差距，（2）项目类型（康复和容量扩展）在解决方案方法中的作用，以及（3）通过导出最佳解决方案，缺乏解决方案算法来解决问题复杂性。在解决这些差距时，本文采用了一种新颖的方法，可以在建筑地平线内开发多个道路项目的最佳项目时间表。目标是最大限度地减少对施工地平线的道路用户和邻近企业的项目的整体成本。项目调度问题被制定为混合整数非线性程序。我们使用局部分解方法解决问题。使用Sioux Falls City Network进行了两种项目类型的方法，可以说明方法：容量扩张和康复。数值实验的结果表明，（1）解决方案算法在有限迭代中的最佳解决方案中收敛于（2）使用明确优化的城市道路项目的网络范围计划可以在产生相对的情况下产生显着降低业务中断成本。系统旅行时间较小，总体而言，优于仅考虑总系统旅行时间的时间表。

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