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This work offers a multimethodology modeling platform (DSS), for prospective analysis of urban densification patterns, based upon redefining demand as a dynamic variable in time and space instead of as an input. For the case study of Medellín Metropolitan Area (Colombia), innovative modeling approaches were implemented to analyze dynamics derived from public intervention and project implementation in transportation, industry, housing, land use, residential and firm's mobility, among others. This DSS actively contributed to consensus achievement between conflicted parties by compelling to…mehr

Produktbeschreibung
This work offers a multimethodology modeling platform (DSS), for prospective analysis of urban densification patterns, based upon redefining demand as a dynamic variable in time and space instead of as an input. For the case study of Medellín Metropolitan Area (Colombia), innovative modeling approaches were implemented to analyze dynamics derived from public intervention and project implementation in transportation, industry, housing, land use, residential and firm's mobility, among others. This DSS actively contributed to consensus achievement between conflicted parties by compelling to exchange, discuss and confront their positions on the building impacts of Urban Futures. Through this research, I had the unique opportunity to meaningfully and productively engage with Medellín's transformation, and to experience how academic contribution offered insights to tackle the roots of urban inequality instead of its symptoms.
Autorenporträt
Forscherin und Beraterin. Ph.D. Ingenieurwesen (2011), M.Sc. Ingenieurwesen (2005). Besonderes Interesse an der Entscheidungsfindung als Instrument zur Unterstützung der Politikgestaltung und der Debatte über Interessenkonflikte in komplexen Szenarien wie denen in den Entwicklungsländern: räumlich differenziert, kulturell vielfältig und mit echten Herausforderungen für den Aufbau von Vertrauen und Transparenz.