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Coupled Human and Water Infrastructure Systems Sector Interdependencies: Framework Evaluating the Impact of Cities Experiencing Urban Decline

机译:人与水基础设施系统部门相互依存的耦合:评估城市衰落城市影响的框架

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摘要

Water, wastewater, and stormwater infrastructure systems are intrinsically interdependent, impacting the performance and operations of each individual infrastructure. The demands placed on and revenues generated for these infrastructures are impacted by human interactions, such as price elasticity and population dynamics. The consequences of these human-infrastructure interactions may be seen in shrinking cities, where chronic population decline has led to underfunded and underutilized infrastructures. This paper evaluates human-water and wastewater systems sector interdependencies in shrinking cities to explore water demand, utility revenues, public support, and payoff periods for retooling alternatives. To assess the dynamic behavior of the water sector systems, a hybrid framework is used that incorporates agent-based and system dynamics modeling. Driving the approach is data gathered from published and publicly available literature, two case studies, and a survey deployed to residents of 21 U.S. shrinking cities. This study quantifies the endogenous, physical interdependencies and the exogenous, complex human interactions. The epistemic uncertainty associated with human-infrastructure interactions is explored by incorporating stochastic parameters rather than the traditional deterministic parameters. Furthermore, the framework enables the assessment of interdependencies with parameters tailored to a city's unique characteristics. (C) 2017 American Society of Civil Engineers.
机译:水,废水和雨水基础设施系统本质上是相互依存的,从而影响每个基础设施的性能和运营。这些基础设施的需求和产生的收入受到诸如价格弹性和人口动态之类的人为因素的影响。这些人与基础设施相互作用的后果可能在不断缩小的城市中看到,那里的人口长期减少导致基础设施资金不足和利用不足。本文评估了萎缩城市中人水和污水处理系统部门之间的相互依存关系,以探索水需求,公用事业收入,公共支持以及替代方案的回报期。为了评估水务部门系统的动态行为,使用了一个混合框架,该框架结合了基于代理的建模和系统动力学建模。驱动该方法的是从公开和可公开获得的文献中收集的数据,两个案例研究以及一项针对21个美国萎缩城市居民的调查。这项研究量化了内源性,物理上的相互依赖性以及外源性,复杂的人类交互作用。通过结合随机参数而不是传统的确定性参数来探索与人与基础设施相互作用相关的认知不确定性。此外,该框架还可以根据城市的独特特征对参数进行相互依赖性评估。 (C)2017年美国土木工程师学会。

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  • 来源
    《Journal of Water Resources Planning and Management》 |2017年第8期|04017043.1-04017043.17|共17页
  • 作者单位

    Univ Texas Austin, Dept Civil Architectural & Environm Engn, Austin, TX 78712 USA;

    Purdue Univ, Lyles Sch Civil Engn, W Lafayette, IN 47907 USA;

    Purdue Univ, Sch Aeronaut & Astronaut, W Lafayette, IN 47907 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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