#UrbanPlanning #AIDrivenPlanning #SustainableCities #SmartCities #VictoriaDevelopment #CommunityEvolution #FutureOfUrbanDevelopment #DataDrivenCities #AIInUrbanPlanning #SustainableGrowth #PredictiveAnalytics #CityPlanning #UrbanInnovation #PopulationForecasting #InfrastructurePlanning #HousingTrends #GreenSpacePlanning #FutureCommunities #UrbanSustainability #victoria

Github Repository (Coding Evidence)

https://github.com/amishpatel61001/VCFuture

About the Project

Predicting Future Community Dynamics in Victoria

Problem Statement:

Victoria continues to be the fastest-growing state in Australia, with our population projected to hit 10.3 million by 2051. The state's economy grew by 9.1% over the past two years, surpassing growth rates in NSW, Queensland, Western Australia, and Tasmania. In terms of business investment, Victoria has seen an 11.3% increase as of December 2023, significantly higher than the national average of 8.2% (Invest Australia, 2024). As we face high growth pressures from factors like population change, natural increase, net overseas migration, and interstate migration, the demand for housing, roads, and infrastructure is escalating. To address these needs effectively, we need to adopt more predictive approaches for urban planning. Our challenge is to forecast how community dynamics—such as housing demand, population trends, and traffic patterns—will evolve, enabling planners to make proactive and informed decisions for sustainable development.

Project Description:

Our solution is a web-based application designed to assist urban planners, policymakers, and community stakeholders in forecasting the future dynamics of communities across Victoria. Powered by AI (Artificial intelligence) and ML (machine learning), the app leverages historical data to predict trends in population growth, housing demand, vehicle registration, building permits, and public service needs. By using Victorian government datasets, our solution aligns with real-world planning goals, enabling users to explore various scenarios and evaluate the long-term impacts of urban planning decisions. In future, this can be combined with live databases to ensure real-time tracking of urban development plans in the state of Victoria.

By providing data-driven insights, we ensure that planners can balance population growth, creating livable, inclusive communities for future generations.

Goals:

  1. Observed Trends Data on past planning permits will give insight into the historical trends of distinctive residential and commercial growth and transformation, land-use changes and infrastructural developments.
  2. Empower Planners by forecasting Future Changes: Train AI models to predict future shifts in population density, demand for housing, infrastructure needs, and demand for public services.
  3. Present Predicted Urban Futures: Develop a predictive visualization tool that lets stakeholders experience various urban futures with different variables.

Mission:

We want to help Victoria build liveable, sustainable and equitable communities by creating the best possible predictive model. The goal is to learn from past trends to develop more sustainable urban areas with predictive AI-powered web application.

Data Story:

Our project focuses on predicting community evolution within Victoria by using AI and historical planning datasets. The analysis utilized various datasets, such as traffic count locations, population density, vehicle registrations, housing development, and Infrastrcture premits. The goal is to forecast changes in urban dynamics, traffic, and population density in Victoria, enabling better urban planning and resource allocation for sustainable development.