{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/145128"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/145128","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"CityScope: An Urban modeling and Simulation Platform","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Noyman, Ariel"],"institution":"Massachusetts Institute of Technology","degree_name":"Doctoral","degree_level":null,"degree_discipline":null,"degree_department":"Program in Media Arts and Sciences (Massachusetts Institute of Technology)","school":null,"contributors":[],"advisors":["Larson, Kent"],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-05","date_published":"2022-05","updated_at":"2026-07-22T22:21:44Z","subjects":[],"languages":[],"rights":["In Copyright - Educational Use Permitted","Copyright MIT"],"rights_urls":["http://rightsstatements.org/page/InC-EDU/1.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/1721.1/145128","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Larson, Kent"]},{"key":"dc:contributor.department","label":"Department","values":["Program in Media Arts and Sciences (Massachusetts Institute of Technology)"]},{"key":"dc:creator","label":"Author","values":["Noyman, Ariel"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2022-08-29T16:34:55Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2022-08-29T16:34:55Z"]},{"key":"dc:date.issued","label":"Date","values":["2022-05"]},{"key":"dc:publisher","label":"Institution","values":["Massachusetts Institute of Technology"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Doctoral","Doctor of Philosophy"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["In Copyright - Educational Use Permitted","Copyright MIT"]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://rightsstatements.org/page/InC-EDU/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/1721.1/145128"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["Ph.D."]},{"key":"dc:title","label":"Title","values":["CityScope: An Urban modeling and Simulation Platform"]}]}],"canonical_facts":{"dc:contributor.advisor":["Larson, Kent"],"dc:contributor.department":["Program in Media Arts and Sciences (Massachusetts Institute of Technology)"],"dc:creator":["Noyman, Ariel"],"dc:date.accessioned":["2022-08-29T16:34:55Z"],"dc:date.available":["2022-08-29T16:34:55Z"],"dc:date.issued":["2022-05"],"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."],"dc:description.degree":["Ph.D."],"dc:identifier.uri":["https://hdl.handle.net/1721.1/145128"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["In Copyright - Educational Use Permitted","Copyright MIT"],"dc:rights.uri":["http://rightsstatements.org/page/InC-EDU/1.0/"],"dc:title":["CityScope: An Urban modeling and Simulation Platform"],"dc:type":["Thesis"],"thesis:degree_name":["Doctoral","Doctor of Philosophy"]},"updated_at":"2026-07-22T22:21:44Z"}