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.

中文翻译：

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考虑用户和业务影响的道路建设项目的网络级调度

建设项目通常与部分或全部道路封闭相关联，这会导致用户成本降低以及社区生产力下降的问题。许多研究已经解决了基于各种利益相关者目标来安排建设项目的问题。但是，在以下方面似乎仍然存在一些差距：（1）与最佳调度相关的道路用户成本降低与业务成本降低之间的可能取舍；（2）项目类型（修复和扩容）在解决方法论上的作用；以及（3）缺乏求解算法，无法通过推导最优解来解决问题的复杂性。为了解决这些差距，本文采用了一种新颖的方法来为施工期内的多个道路项目制定最佳的项目进度表。目标是在施工阶段将对道路使用者和邻近企业的项目总成本降至最低。项目调度问题被表述为混合整数非线性程序。我们使用局部分解方法解决该问题。使用苏福尔斯城市网络通过两个项目类型演示了该方法：容量扩展和修复。数值实验结果表明：（1）解算法在有限迭代中收敛到最优解；（2）使用显式优化对城市道路项目进行全网络调度可以显着降低业务中断成本，同时产生相对较低的成本总的来说，系统旅行时间的较小增加总体上优于仅考虑总系统旅行时间而制定的计划。