Forecasting Community Evolution: Leveraging AI and Historical Planning Data

Urban planning and development have long-lasting impacts on communities.

With access to historical planning permit data, this challenge invites teams to use AI and machine learning techniques to predict future community changes, such as:

• population growth,
• infrastructure needs,
• housing trends,
• and green space availability.

The goal is to develop innovative tools or models that can help city planners, policymakers, and citizens understand potential future scenarios using
historical and current planning data. This will support proactive decision-making and sustainable urban development.

Options include:
Analyse Historical Trends: Use historical planning permit data to identify patterns and trends in community development, such as:

• residential growth
• commercial expansion
• or changes in land use.

Predict Future Changes: Develop AI models that can predict future changes in community dynamics, such as:

• population density
• housing demand
• traffic patterns
• and the demand for public services or amenities.

Visualize Predicted Scenarios: Create interactive visualizations

• that allow users to explore different future scenarios based on:
• various planning and development decisions
• helping stakeholders make informed choices.

Support Sustainable Urban Planning: Provide insights that can guide;

• sustainable and inclusive urban planning
• ensuring communities grow in a way that meets the needs of current and future residents.

By exploring future scenarios, we can support planners and citizens understand the impacts of development decisions

We can also ensure; forward-looking decisions consider long-term community needs and sustainability.


Image Credit: © Copyright State of Victoria (Department of Transport and Planning), Creative Commons Attribution 4.0 International licence.