Redlands, California provides a template for showcasing urban planning and design capabilities using Esri CityEngine. This example includes CyberCity3D buildings along with a fully redeveloped site using new 3D City Design rules.CityEngine is able to simulate the impact of design decisions in near real time, enabling decision makers to meet or exceed project goals, whether they be sustainability metrics, regulatory compliance or cost reduction.Click here to download the Example Redlands Redevelopment.Check out these web scenes created in the Redlands Example:New CGA Rule Features3D Transect / SmartCode ExamplesThis example requires CityEngine Version 2012.1. Click here to download a free 30-day trial of CityEngine.

CityEngine is able to simulate the impact of design decisions in real time, enabling decision makers to meet or exceed project goals, whether they be sustainability metrics, regulatory compliance or cost reduction. The Redlands Redevelopment example provides a template for showcasing urban planning and design capabilities using Esri CityEngine. This example includes a fully redeveloped site using new 3D City Design rules.Check out these web scenes created in the Redlands Example:Before and After Redevelopment ComparisonNew CGA Rule Features3D Transect / SmartCode ExamplesThis example requires CityEngine Version 2012.1. Click here to download a free 30-day trial of CityEngine.

Urban rail is potentially coming to Austin, TX. This project examined the physical and economic development changes that could take place by taking the output of Envision Tomorrow and loading it into the CityEngine Web Viewer.

The project team consisted of Civic Analytics, the City of Austin, and the University of Texas. Using a scenario planning software called Envision Tomorrow, the team added data-heavy building types to city parcels most likely to develop while trying to reach population projections for the year 2030. The output of Envision Tomorrow is a number of helpful analytics and maps that demonstrate impact from various future scenarios. These results were then passed on to local stakeholders for feedback to help a more accurate model.

Taking the output and loading it into CityEngine allowed the team to better visualize the height, form, and density impacts of the new development. Whereas before, development was displayed by showing parcels divided up by color in 2D maps, CityEngine enabled the stakeholders to more readily digest the output and spot the differences between scenarios. Stakeholders were able to spot development that would probably not happen and also ask questions about why some parts of Austin were riper for change than others. Their feedback was crucial as it allowed the project team to refine the analysis and look as accurately as possible into the future.

One of the goals of the project was to examine two scenarios of development: what if we build transit and what if we do not. The CityEngine web viewer enables the average user to swipe between two scenarios and to select a building to learn more about its attributes. The capability of sharing this model via the web cannot be overstated as it allows for increased accessibility and personal freedom to explore the project. 3D models make information easier to digest than maps. This fact makes getting feedback on physical planning projects more efficient, reliable, and easy to do.