A project I have been working on recently got me thinking about the interactions of cartography, procedural modeling, and 3D visualization. Procedural modeling helps planners to communicate and evaluate their ideas in a data driven, efficient, and scenario focused manner. It accelerates the iterative design and evaluation process that scenario planning demands and yields enriching visualizations that enhance the communication of planning scenarios.
Garsdale Design, for example, has developed a CityEngine ruleset for Abu Dhabi using their parcel data that allows their Urban Planning Council to leverage context-specific design criteria and zoning analytics. These procedural rules help to accelerate the iterative design process and enable planners to articulate design elements that would hard to communicate at this scale with a more manual modeling effort.
However, recently I got to think about how mapping, procedural modeling, and 3D visualization might work together to create a better understanding of parking demand.As a topic of study, parking has gone from a rather obscure assumption made by many planning processes to one of the most heavily analyzed elements of urban form. Traditionally, parking demand is typically communication via 2D occupancy maps. While these are useful, they do have their limitations:
Recently, while on a plane to San Diego (need something to do, right?), I developed a ruleset specifically to visualize parking demand for this project. Here is the same project at the same time period generated using this ruleset:
The rules that drove this visualization addresses the shortcoming of the traditional parking demand map by:
In many ways this visualization method not only provides an interactive way to view the data, but helps address some of the limitations of the 2D parking occupancy map. In addition, the data preparation that is required for the 2D map is the exact data preparation required for this type of visualization. Since this rule's first application, it has been applied to multiple projects, including locations as grand as some of the United States' National Parks.
In the future, I hope to combine this type of visualization with transportation demand management scenarios and investigating different technologies to display the same concepts (three.js/geospatial frameworks). However, it got me thinking of different ways that 3D and precise control of geometry can be used to explore planning data. Much of this is not new, but provides another example of how procedural and 3D can help enhance planning communication.
If you want to find out more about this project, you can check Fehr & Peer's website here: UCSD Parking Operations Study.
Thank you to Elliot Hartley at Garsdale Design for contributing some supporting ideas and images. You can see more of Garsdale Design's work at their home page.
If you have any thoughts on other planning communication strategies I would love to hear from you.
This post was taken from a Linked In blog post I wanted to share with the geonet community.