TaCAT - task centered analysis tools in urban planning
"This work is aimed to propose a way to create software applications with interactive visualization to help stakeholders present and analyze their ideas inside a decision making process. Software creation is a process that takes time and effort from software engineers, so the building process m...
- Autores:
-
Ibarra López, Juan Camilo
- Tipo de recurso:
- Doctoral thesis
- Fecha de publicación:
- 2014
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/7831
- Acceso en línea:
- http://hdl.handle.net/1992/7831
- Palabra clave:
- Urbanismo - Simulación por computadores
Desarrollo de software de aplicación - Investigaciones
Ingeniería de software - Investigaciones
Ingeniería
- Rights
- openAccess
- License
- https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
Summary: | "This work is aimed to propose a way to create software applications with interactive visualization to help stakeholders present and analyze their ideas inside a decision making process. Software creation is a process that takes time and effort from software engineers, so the building process must be fast in order to be feasible and profitable for a stakeholder to create a tool from scratch instead of using a multi-purpose tool. Here we present a workflow and a framework to create this kind of analysis tools in a fast manner to help stakeholders with interactive visualizations that are aimed to get insights from their data. These applications are modeled based in two basic concepts: an Urban System Model and an Analysis Task Model. The first one is a hierarchical model aimed to design a city model that Will answer to the necessities of the modeler. The second one is the way to build a problem, named analysis task, in a systematic way in order to use software tools to try to solve it. We also present different successful study cases where this workflow was used in different levels of complexity" |
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