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An integrated framework for managing the complex interdependence between infrastructures and the socioeconomic environment: An application in metropolitan Atlanta

机译:一个用于管理基础架构与社会经济环境之间复杂的相互依存关系的集成框架:在大城市亚特兰大的应用

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In this study, we introduce an integrated framework for managing the complex interdependence between urban infrastructures and the socioeconomic environment within which it evolves, in pursuit of sustainable and environmentally cleaner urban living. The framework addresses the nature of individual preferences for more sustainable urban infrastructures, and how we can use this knowledge to improve urban form in ways that reduce environmental impacts. Using metropolitan Atlanta as a case study, we developed a survey that focuses on the preferences of Atlanta residents for low-impact development (LID) and transit-oriented development (TOD), with responses collected on the Mechanical Turk crowed-source platform. Using these responses we developed a latent-class residential community choice model for four distinctive classes of respondents that revealed heterogeneous preferences for community amenities. Next, we integrated the results of these individual choices into an agent-based market diffusion model, to predict land-use pattern, and to explore policies that drive greater adoption of more compact development. Finally, we used the results of this data collection and modelling to estimate the carbon emission reduction potentials from more compact development driven by LID and TOD. In the future, we will continuously refine the steps and address the issues including survey sample bias to make the framework more reliable and useful for sustainable urban infrastructure planning, design and implementation.
机译:在这项研究中,我们引入了一个综合框架来管理城市基础设施与社会经济环境之间相互依存的复杂相互依存关系,以追求可持续和环境清洁的城市生活。该框架解决了个人偏好更可持续的城市基础设施的性质,以及我们如何利用这些知识以减少环境影响的方式改善城市形态。我们以亚特兰大市区为例,开发了一项调查,重点研究了亚特兰大居民对低影响力开发(LID)和公交导向型开发(TOD)的偏好,并在Mechanical Turk众筹平台上收集了反馈。使用这些响应,我们为四个独特的受访者群体开发了一个潜在阶层的居民社区选择模型,揭示了社区设施的异质偏好。接下来,我们将这些个人选择的结果整合到基于代理的市场扩散模型中,以预测土地使用模式,并探索推动更多采用更紧凑开发的政策。最后,我们使用此数据收集和建模的结果来估算由LID和TOD驱动的更紧凑的开发所产生的碳减排潜力。将来,我们将不断完善步骤并解决包括调查样本偏差在内的问题,以使该框架对可持续城市基础设施的规划,设计和实施更加可靠和有用。

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