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Co-designing transport models as a heuristic planning tool
Tanvi Maheshwari1, Pieter Fourie2,3
1Department of Architecture, Monash University, Melbourne, Victoria 3145, Australia.
Summary
New urban planning methods integrate design and transport modeling for complex city challenges. This approach uses heuristic models to guide decisions, improving stakeholder engagement and understanding of urban systems.
Area of Science:
- Urban Planning and Transportation Science
- Computational Social Science
Background:
- Technological disruptions in transportation increase urban planning complexity.
- Traditional decision-making processes are insufficient for current urban challenges.
Purpose of the Study:
- To propose an integrated approach combining urban design and transport modeling.
- To develop goal-driven, agile heuristic models for early-stage planning.
Main Methods:
- Combining qualitative urban design with quantitative transport modeling.
- Utilizing heuristic modeling in an iterative loop with design optioning.
- Employing design workshops for stakeholder engagement and co-creation of simulation models.
Main Results:
- Demonstrated operationalization of the approach through a case study on automated vehicles.
- Enhanced understanding of emergent effects in complex urban systems.
- Improved communication and collaboration across disciplines.
Conclusions:
- The integrated approach enhances stakeholder engagement in urban planning.
- Heuristic modeling, informed by design, provides a valuable tool for navigating planning complexity.
- This method offers a more effective way to understand and plan for future urban mobility.
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