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

19 Pages Posted: 14 Sep 2015 Last revised: 27 Feb 2017

See all articles by Constantine E. Kontokosta

Constantine E. Kontokosta

New York University - Center for Urban Science and Progress; New York University (NYU) - Marron Institute of Urban Management

Date Written: September 1, 2015

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.

Keywords: Urban Systems and Sensing; Neighborhood Planning; Big Data; Civic Technology; Computational Planning and Design

Suggested Citation

Kontokosta, Constantine E., The Quantified Community and Neighborhood Labs: A Framework for Computational Urban Planning and Civic Technology Innovation (September 1, 2015). Available at SSRN: https://ssrn.com/abstract=2659896 or http://dx.doi.org/10.2139/ssrn.2659896

Constantine E. Kontokosta (Contact Author)

New York University - Center for Urban Science and Progress ( email )

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New York University (NYU) - Marron Institute of Urban Management ( email )

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