Back to results

Massachusetts Institute of Technology

CityScope: An Urban modeling and Simulation Platform

Abstract

dc:description.abstract

Current mass-urbanization trends create vast opportunities alongside new challenges to cities worldwide. Immigration, climate change, technological disruptions, inequality, and health concerns, are only some of the questions urban decision-makers are facing today. As these challenges grow, traditional urban processes are rendered insufficient, as they trail behind rapidly expanding cities and technological disruptions. In this dissertation I investigate a new urban process, which couples data-driven and evidence- based decision-making, with human-centric and participatory planning. I explore this new urban process through the design, development and deployment of CityScope: an urban modeling, simulation, and decision-making platform. From collaborative allocation of refugee-housing in Germany, through crowd-sourced mapping of public safety in Guadalajara, to mass-transit co-creation in Boston, CityScope helps to build agency amongst the ‘have-nots’, who traditionally were denied from the urban process. I report on a series of lab experiments and real-world deployments of CityScope through four themes: Insight: CityScope as an urban observatory, using real-time spatial data and urban dynamics analytics; Transformation: CityScope as an iterative, collaborative, and real-time Urban Human Computer Interaction system; Prediction: CityScope for urban forecasting and simulation of implicit aspects in the built environment; and Consensus: CityScope for collaborative decision-making with diverse stakeholders and communities. Finally, I describe how CityScope supported, enhanced, and occasionally replaced traditional urban decision-making, affecting both the urban process as well as its outcomes.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Noyman, Ariel
Advisor dc:contributor.advisor
  • Larson, Kent

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright MIT

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/145128
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/145128

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Noyman, Ariel. CityScope: An Urban modeling and Simulation Platform. Massachusetts Institute of Technology, 2022. https://hdl.handle.net/1721.1/145128