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Integrating Urban Digital Twins with Geospatial Dashboards for Coastal Resilience Planning in Florida


核心概念
Integrating urban digital twins with geospatial dashboards enhances community awareness and facilitates decision-making for coastal resilience planning.
要約
  • Abstract:
    • Coastal communities face climate-induced flooding, necessitating adaptation measures.
    • Framework integrates urban digital twin with geospatial dashboard for visualization.
    • Synergy fosters community awareness and collective decision-making.
  • Introduction:
    • Coastal communities face increasing growth and development pressures.
    • U.S. Gulf Coast experiences rapid sea-level rise and frequent hurricanes.
    • Tools like HAZUS and Sea Level Rise Viewer focus on broader analysis.
  • Literature Review:
    • Urban digital twins integrate various data formats for urban planning.
    • UDTs are instrumental in data-driven decision-making for infrastructure management.
    • UDTs enable simulation of climate change scenarios for adaptive strategies.
  • Proposed Framework:
    • Creation of 3D city models is fundamental for UDT development.
    • Deck.gl is a versatile framework for rendering geospatial datasets.
    • Dash framework is used for developing interactive geospatial dashboards.
  • Results:
    • UDT and dashboard facilitate scenario exploration for sea-level rise impacts.
    • Dashboard enables visualization of critical assets and adaptation projects.
    • Platform enhances community engagement and decision-making processes.
  • Case Study and Discussion:
    • Resilient Cedar Key project utilizes UDT and dashboard for community engagement.
    • Web application used for stakeholder meetings and public outreach.
    • Dashboard instrumental in communicating vulnerability assessment and adaptation actions.
  • Ethical Considerations:
    • Data protection regulations and security standards are crucial for UDT applications.
    • User-friendly design and guided tours enhance user experience and transparency.
  • Conclusion:
    • Integrated UDT and dashboard offer a novel platform for coastal resilience planning.
    • UDT serves as an educational tool and facilitates community engagement.
    • Platform contributes to decision-making processes for adaptation strategies.
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統計
"HAZUS, developed by FEMA, is a desktop software for estimating physical, economic, and social impacts of hurricanes and other natural disasters." "The National Risk Index, another product of FEMA, provides a framework for categorizing community risks based on social vulnerability and resilience score." "The Sea Level Rise Viewer, developed by NOAA, is a web mapping tool to visualize impacts from coastal flooding." "The 3D Elevation Program (3DEP) of the U.S. Geological Survey (USGS) covers 89% of Continental United States (CONUS) and is expected to complete nationwide LiDAR acquisition by 2026."
引用
"The synergy between these two technologies fosters heightened community awareness about increased flood risks to establish a unified understanding, the foundation for collective decision-making in adaptation plans." "UDTs enable the simulation of various climate change scenarios, helping cities anticipate and prepare for extreme weather events, sea-level rise, and other climate-related challenges." "The outbreak of COVID-19 stimulated developments of real-time dashboards to visualize affected communities and provide researchers and policymakers with user-friendly tools to track the pandemic."

深掘り質問

How can the integration of UDTs and geospatial dashboards be further optimized for other coastal regions?

The integration of Urban Digital Twins (UDTs) and geospatial dashboards can be further optimized for other coastal regions by customizing the data and scenarios to suit the specific needs and challenges of each region. This customization can involve incorporating region-specific data such as sea level rise projections, storm surge models, and critical infrastructure information. Additionally, the dashboards can be designed to allow for easy comparison of different adaptation strategies and their potential impacts on the coastal communities. Collaborating with local stakeholders and experts to tailor the UDTs and dashboards to the unique characteristics of each coastal region will enhance their effectiveness in resilience planning.

What are the potential drawbacks or limitations of relying heavily on digital twins for urban planning and resilience?

While digital twins offer numerous benefits for urban planning and resilience, there are potential drawbacks and limitations to consider. One limitation is the complexity and cost associated with creating and maintaining accurate and up-to-date digital twins. Building detailed 3D models and integrating diverse datasets can be resource-intensive and time-consuming. Another drawback is the reliance on technology, which may lead to challenges in data privacy, cybersecurity, and accessibility for all stakeholders. Additionally, there may be resistance from traditional planning approaches and stakeholders who are not familiar with or comfortable using digital twin technology.

How might the lessons learned from this case study be applied to other community engagement initiatives beyond coastal resilience planning?

The lessons learned from this case study can be applied to other community engagement initiatives beyond coastal resilience planning by emphasizing the importance of user-friendly interfaces, interactive tools, and transparent communication. Engaging stakeholders through interactive dashboards and UDTs can enhance understanding, collaboration, and decision-making in various community initiatives. Additionally, incorporating guided tours, scenario exploration, and multi-page architectures can facilitate self-learning and empower community members to explore and analyze complex information. By prioritizing inclusivity, accessibility, and ethical considerations, the principles and strategies from this case study can be adapted to different community engagement contexts to foster meaningful dialogue and informed decision-making.
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