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Forecasting Community Evolution: Leveraging AI and Historical Planning Data

Jurisdiction: Victoria

#Predicting future changes in community dynamics


How might we predict future changes in community dynamics, such as population density, housing demand, traffic patterns, and the demand for public services or amenities?

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.

Eligibility: Use at least one dataset from data.vic.gov.au

Entry: Challenge entry is available to all teams in Australia.

Dataset Highlight

Vicmap Planning Datasets

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Victorian Population Data

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Vicmap Features of Interest REST API

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Vicmap Features of Interest

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Victoria PTV Timetable API

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Bus Routes - Metro PTV

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PTV Metro Tram Stops

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PTV Metro Bus Stops

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PTV Metro Train Stations

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Traffic Signal Configuration Data Sheets

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Traffic Signal Volume Data

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Traffic Volume

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Victorian Government School Zones 2025

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School Locations 2023

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Rental Report: Quarterly Data Tables

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Rental Report: Quarterly Affordable Lettings by LGA

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Rental Report: Quarterly Moving Annual Rents by Suburb

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Rental Report: Quarterly Median Rents by LGA

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Victorian Property Sales Report: Median Vacant Land by Suburb

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Victorian Property Sales Report: Median Unit by Suburb

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Victorian Property Sales Report: Median House by Suburb

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Regions Population, Household, and Dwelling Projections to 2051

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One Page Profile for Victoria

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LGA Population, Household, and Dwelling Projections to 2036

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Victoria Demographic Projections to 2051

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Victorian Building Authority Datasets

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Challenge Entries

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