Multi-User Infrastructure Corridor Optimisation — Queensland Government
Client - Dept of State Development, Infrastructure, Local Government and Planning
Sector - Government / Industrial Planning
Year - 2024/26
Role - Geospatial and Modelling Lead — within multidisciplinary engineering team (Engeny Australia)
Study area - Gladstone State Development Area, Central Queensland
Services - MCDA framework design, Analytical Hierarchical Process (AHP), suitability and cost surface modelling, least-cost corridor analysis, Circuitscape circuit theory analysis, GIS platform development, MTSC capacity integration
Project Overview
BioGeo served as Geospatial and Modelling Lead on a Queensland Government infrastructure corridor study, providing the spatial analytical framework underpinning all corridor evaluation and route comparison across a large, constrained industrial landscape.
What We Did
Designed and built a centralised web-based GIS platform providing real-time stakeholder access to all spatial data and modelling outputs
Led MCDA expert committee inputs — guided constraint categorisation and weighting logic across four analytical domains: environmental, engineering, safety, and project suitability
Standardised and normalised 150+ spatial constraint datasets across environmental, engineering, tenure, and infrastructure capacity categories
Developed domain-specific suitability surfaces and cumulative cost surfaces using weighted overlay in ArcGIS Pro Suitability Modeller
Applied Least-Cost Paths Analysis (LCPA) to identify minimum-impedance corridor zones with sensitivity and comparative analysis
Applied Circuitscape circuit theory analysis to define corridor width profiles and identify critical bottlenecks — providing insights single-path LCPA cannot deliver
Integrated existing corridor capacity, tenure, and separation distance data to assess multi-use infrastructure feasibility
Outcome
A transparent, quantitatively defensible corridor assessment framework delivered to the Queensland Government, informing land acquisition and infrastructure planning decisions. The engagement extended into a second phase following successful delivery.