Digital Twins: Immersive Technology to Enhance Decision-Making

The Town of Morrisville is a fast-growing Raleigh suburb situated in North Carolina's burgeoning Research Triangle. Despite a strong desire to create a community focal point, local officials have hesitated to approve any development within the designated area for fear of proceeding down the wrong path.

Ultimately, they were torn between the vague vision for low-density development established in the 2007 Town Center plan and input received from residents and the development community for a more compact and dense mixed-use area.

Visualizing Options for Morrisville's Town Center

Unable to reach an agreement on appropriate structure heights and density, Morrisville's Town Center has remained largely undeveloped while other areas of the community are thriving.

Recognizing the importance of this key area of the town, Houseal Lavigne, an urban-planning consulting firm, was hired to create a digital twin of the area to help the community reach a consensus and overcome the stalemate.

The digital twin, or smart 3D model, of the Town Center, enabled the community to visualize both scenarios and make an informed decision using qualitative and quantitative information.

Scenario Development

With extensive input from the community, land-use and development sketch concepts were prepared. This resulted in two development scenarios:

  • Scenario A — A lower-density option considered by some to be more consistent with a small town, characterized by one- and two-story buildings with surface parking lots.
  • Scenario B — A higher-density option considered by some to be more desirable and market viable, with four- and five-story buildings serviced by centralized parking garages.

Construction of the Digital Twin

The development of the digital twin for Morrisville's Town Center was a five-step process:

  1. Constructing a digital twin of the study area and its surroundings
  2. Creating a conceptual site plan for the Town Center
  3. Identifying key performance indicators and other metrics for each scenario
  4. Preparing 3D scenarios and an interactive web viewer
  5. Using Epic's Unreal Engine to create an immersive experience

To accurately evaluate development options, the process was initiated by creating a digital twin of the study area to serve as a baseline, allowing comparison between all the scenarios. This included modeling the existing street network, land uses, buildings, and natural features.

Next, conceptual sketch plans were prepared for each scenario. Using a new street network as a backbone, building locations and parking lot configurations for each block were established. This step also identified the existing buildings that would remain. The two sketch plans were then modeled in 3D in ArcGIS CityEngine, where key performance indicators and metrics provided quantitative information about each development.

Digital twin rendering of the town center of Morrisville

Comparing digital twin scenarios allowed residents of Morrisville to better visualize the difference between development scenarios A and B (Scenario B shown above.) Photo Credit: Esri

Digital twin rendering of the town center of Morrisville, Scenario A

Controlling a playable character allowed community members of Morrisville to toggle between development scenarios A and B (Scenario A shown above) in an immersive experience. Photo Credit: Natalie Veal

Real-time Feedback, Detailed Visualization

Within CityEngine, as building footprints were extruded and modified, dashboards provided real-time feedback, ensuring that each scenario followed the town's recently adopted zoning code. This included live reporting of land uses by square foot, the FAR of each site, the number of dwelling units, and the amount of parking required for development. Similar dashboards provided information related to parking supply, development cost, and potential population.

A CityEngine web scene was publicly shared, providing town officials and residents an opportunity to view each scenario. Each building and site in the viewer was enriched with data, allowing a user to compare and contrast each scenario with the others.

Immersive Experience

While the results of the process so far had provided the data the town's officials needed, the process still did not address the concerns that taller buildings would be too dense and create too urban an atmosphere.

To help elected officials better assess the scenarios, CityEngine models were imported into Epic's Unreal Engine, an engine that powers Fortnite and other popular video games. Additional details — including streetscapes, plazas, and open spaces — were added to the game engine, along with a playable character. Users could control the character to act as a pedestrian to take a virtual walk around Morrisville's envisioned Town Center. Buttons on the screen allowed the user to toggle between the scenarios, and live dashboards provided information about the development.

Successful Outcome

Hailed by the community as an absolute success, town officials unanimously chose Scenario B. Houseal Lavigne was then directed to update the community's Town Center plan, policies, and recommendations to help Morrisville achieve its vision of a dense, compact, walkable, and vibrant community focal point.

This project was awarded the APA Technology Division's 2020 Smart Cities Award and Esri's 2020 Special Achievement in GIS Award.

Smart Cities: Integrating Technology, Community, and Nature

Cover of PAS Report 599, Smart Cities: Integrating Technology, Community, and Nature

PAS Report 599

The Town of Morrisville was featured as a case study in a recent PAS Report exploring the integration of smart city technology in communities big and small.

Read the full report to learn more about the benefits and challenges of smart city technologies and how planners can lead the way toward collaborative innovations that enhance livability, sustainability, and resilience.

Top image: iStock / Getty Images Plus, Jackie Niam

About the author
Keith Cooke is the Global Industry Manager for Planning & Community Development at Esri.

April 28, 2022

By Keith Cooke