The Quantified Community and Neighborhood Labs: A Framework for Computational Urban Planning and Civic Technology Innovation

Constantine E. Kontokosta
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引用次数: 5

Abstract

This paper presents the conceptual framework and justification for a “Quantified Community” (QC) and a networked experimental environment of neighborhood labs. The QC is a fully instrumented urban neighborhood that uses an integrated, expandable, and participatory sensor network to support the measurement, integration, and analysis of neighborhood conditions, social interactions and behavior, and sustainability metrics to support public decision-making. Through a diverse range of sensor and automation technologies -- combined with existing data generated through administrative records, surveys, social media, and mobile sensors -- information on human, physical, and environmental elements can be processed in real-time to better understand the interaction and effects of the built environment on human well-being and outcomes. The goal is to create an “informatics overlay” that can be incorporated into future urban development and planning that supports the benchmarking and evaluation of neighborhood conditions, provides a test-bed for measuring the impact of new technologies and policies, and responds to the changing needs and preferences of the local community.
量化社区和邻里实验室:计算城市规划和公民技术创新的框架
本文提出了“量化社区”(QC)和社区实验室网络化实验环境的概念框架和理由。QC是一个完全仪器化的城市社区,它使用一个集成的、可扩展的和参与式传感器网络来支持社区条件、社会互动和行为以及可持续性指标的测量、整合和分析,以支持公共决策。通过各种传感器和自动化技术,结合管理记录、调查、社交媒体和移动传感器产生的现有数据,可以实时处理有关人类、物理和环境因素的信息,以更好地了解建筑环境对人类福祉和结果的相互作用和影响。目标是创建一个“信息学覆盖层”,可以纳入未来的城市发展和规划,支持社区条件的基准和评估,为衡量新技术和政策的影响提供一个测试平台,并响应当地社区不断变化的需求和偏好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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