"uuid","repository link","title","author","contributor","publication year","abstract","subject topic","language","publication type","publisher","isbn","issn","patent","patent status","bibliographic note","access restriction","embargo date","faculty","department","research group","programme","project","coordinates" "uuid:b38588b1-1854-4ffa-976e-d87db3036b71","http://resolver.tudelft.nl/uuid:b38588b1-1854-4ffa-976e-d87db3036b71","Testing and extension of a GIS-supported design tool for new urban development areas: Case study: Sloterdijk I, Amsterdam","Doan, QUYNH (TU Delft Architecture and the Built Environment)","Agugiaro, G. (mentor); Cavallo, R. (graduation committee); Delft University of Technology (degree granting institution)","2021","The emergence of spatial data, GIS-supported tools, web mapping technologies has opened up many applications for more inclusive spatial planning and spatial decision support approaches. Site analysis is strongly supported by spatial data analysis in both 2D and 3D, which offers a more comprehensive understanding of urban settings. Furthermore, 3D city modeling and 3D web technologies not only help visualize design scenarios but also promote communication among the stakeholders for better decision-making. The first version of a GIS-supported design tool for new urban development areas was developed in a previous study (which we refer to in this thesis as the “Buurt Generator”). The tool works with the Netherlands’ data context to assist the realization of the 3D models of urban development projects in an interactive computer environment. The pre-design stage of the tool was based on the semantic 3D city model with different urban KPIs stored in the 3D City Database. Template neighborhoods that match the development goals of the project were then selected to extract design KPIs. The design KPIs, together with the development goals of the sites, form the basis and guidelines for generating different scenarios in the design stage. The scenarios are then integrated back into the 3D city model and visualized in 3D and are disseminated via web platforms. This thesis aims to test, critically review, and propose extensions and improvements for the “Buurt Generator”. It starts with a general review of the tool and literature reviews on related concepts and technologies. Then, the thesis investigates the accuracy of the generated 3D City model in estimating buildings’ volumes. Since volumetric measurements play a critical role in deriving urban KPIs and design KPIs, their accuracy is highly concerned. Hence, a volumetric comparison approach with other existing 3D city models is employed. The second focus is on the expansion of urban KPIs and design KPIs. The work bases on a data-driven approach that considers spatial and non-spatial, volumetric, and non-volumetric urban parameters. Moreover, the thesis proposes a comprehensive understanding of the city context and the project site based on available data. Then, it would be the task of the urban practitioners to reason the design KPIs for the new urban development project. The third focus is to develop a framework to study the impacts of the design solutions on the urban tissue. The framework is developed chiefly based on integrating the design into the 3D city model to perform (spatial) analysis. One of the energy-related criteria – the solar radiation factor - is chosen for further elaboration. The thesis contributes to the further integration of 3D city models into the urban planning process and explores its possibilities in assisting urban practices. It confirms the usability of the generated 3D model in estimating buildings’ volumes. It expands the list of urban KPIs and assists the information query to understand the city context and extract specific information. It bridges 3D City Database and Grasshopper for post-assessment of designs regarding solar radiation and opens the way for other urban simulations.","GIS-supported tool; 3D Model; urban development projects","en","master thesis","","","","","","","","","","","","Geomatics","",""