Scenariohantering med parametrisk design i planeringsprocessen

Detta är en Master-uppsats från Lunds universitet/Lantmäteri (CI); Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

Sammanfattning: In line with an increasing population and the ongoing digitization process, there is a need for an effective planning process. In Sweden, there are both national and international goals that concern this. Zoning plans are an important tool for regulating the planning process. In the case of new constructions and densification of cities, it is required that analyzes are carried out to ensure that requirements for noise, daylight and sunlight are met. Currently, analyzes take place at various stages of the planning process. This has consequences when different interests collide and certain requirements may not be met. Therefore, there is a need for effective scenario management where all requirements are taken into account simultaneously in the process. In a recent project including Gothenburg City, Malmö City, Stockholm City and Lund University, 3CIM was developed with the aim of creating a common information model for city models. 3CIM's information model is based on CityGML 2.0 in combination with an application domain extension (ADE). The ADE file extends the CityGML 2.0 data structure with 3CIM specific attributes, such as version management and links to different external references. Version management is an important concept in scenario management as it enables the tracking of sequence of events for buildings and objects. Test data from the 3CIM project was used in this work. In the case study, the area of Lorensborg in Malmö was investigated, where a densification process is undergoing. The study uses scenario management with parametric design to create a work process where new scenarios are created and fed back into a city model stored in a geodatabase. A total of three scenarios are created in CityEngine, of which one scenario follows a zoned area within Lorensborg and two scenarios are based on different forms of building typologies. The different scenarios are assigned a status attribute to facilitate version management in the city model. The scenarios in the database are also selected and analyzed from a solar radiation perspective in QGIS-UMEP. This process required a digital surface model (DSM) and thus required some conversions with FME. The analysis showed that buildings facing south and with a slightly sloping roof are most suitable for placement of solar panels. The results from the case study show that the process of scenario management and parametric design is currently feasible, but it requires a lot of extra steps with conversions between different formats. An example of this is that FME scripts are required to, for example, convert ESRI Geodatabase format to CityGML 2.0. In the future, it is desirable to have integrated analysis tools directly in the database as well as extended support for more formats to reduce the number of conversions in the scenario management process.

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