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首页> 外文期刊>Journal of Infrastructure Systems >Simulation Model to Prioritize Right-of-Way Acquisitions
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Simulation Model to Prioritize Right-of-Way Acquisitions

机译：优先考虑路权获取的仿真模型

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摘要

The costs involved in right-of-way (ROW) acquisition are rapidly increasing, making it more difficult for agencies to complete projects on time and budget. When funds are constrained, the question of what parcels should be purchased first to minimize the overall costs becomes relevant. The answer is related to the timing of the acquisition process and even opens the possibility of early ROW acquisition. Traditionally, early ROW purchases are selected based on expert judgment and on individual analyses, resulting in purchasing too late and having no substantial savings, if any. This paper presents an event-driven simulation model developed by Texas A&M for the Texas Department of Transportation (TxDOT) to estimate costs and predict potential savings under different ROW acquisition scenarios. The Texas A&M Simulation Model (TAMSIM) is used to assist in prioritizing what parcels should be purchased first due to their likelihood of having a substantial cost increase. Four projects (Metro-East, Urban-North, Urban-South, and Rural-West) are used as case studies to demonstrate the applicability of TAMSIM.
机译：购置通行权（ROW）的成本正在迅速增加，这使得代理机构更难以按时，按预算完成项目。当资金受到限制时，应该首先购买哪些包裹以最小化总成本的问题就变得很重要。答案与采集过程的时间有关，甚至为早期ROW采集打开了可能性。传统上，要根据专家的判断和个别分析来选择早期的ROW购买，这导致购买得太迟，并且没有任何实质性的节省（如果有的话）。本文介绍了由德克萨斯州A＆M为德克萨斯州交通运输部（TxDOT）开发的事件驱动的仿真模型，用于估算成本并预测在不同的ROW采集方案下的潜在节省。得克萨斯州A＆M仿真模型（TAMSIM）用于帮助确定应优先购买的包裹的优先级，因为它们可能会大幅增加成本。案例研究使用了四个项目（地铁东部，城市北部，城市南部和农村西部）来证明TAMSIM的适用性。

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  • 来源
    《Journal of Infrastructure Systems》 |2014年第1期|05013001.1-05013001.6|共6页
  • 作者

    Carlos Chang-Albitres; Richard Feldman; Paul E. Krugler; Iraki Ibarra;

  • 作者单位

    Dept. of Civil Engineering, College of Engineering, Univ. of Texas at El Paso, 500 West Univ. Ave., El Paso, TX 79968;

    Dept. of Industrial and Systems Engineering, Dwight Look College of Engineering, Texas A&M Univ., 3131 TAMU, College Station, TX 77843;

    Materials and Pavement Division, Texas Transportation Institute, Texas A&M Univ. System, 3135 TAMU, College Station, TX 77843;

    Center for Transportation Infrastructure Systems, Dept. of Civil Engineering, College of Engineering, Univ. of Texas at El Paso, 500 West Univ. Ave., El Paso, TX 79968;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Right of way; Simulation; TAMSIM;

    机译：正确的方法;模拟;塔姆西姆;

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