Explanation of Optimal Functional Deployment Patterns in Multi-Purpose Pedestrian-Oriented Bridges Using Space Syntax in Iran
Keywords:
optimization of spatial patterns, generative design , spatial syntax , Multipurpose pedestrian bridge , spatial configurationAbstract
The present study was conducted with the aim of formulating a scientific framework for the optimal organization of functional spaces in multi-purpose pedestrian-oriented bridges in Iran. The main research problem concerns how a spatial model can be proposed that not only meets the functional requirements of the bridge, but also enhances user experience and facilitates the emergence of social interactions within these environments. Pedestrian bridges in urban contexts containing rivers and waterways have the potential to operate beyond the role of a mere passageway and to transform into spaces for pause and events. Research indicates that most studies worldwide—and especially in Iran—have been concentrated on the structural and physical aspects of bridges, while functional dimensions and spatial configuration analyses in multi-purpose bridges have been comparatively underexplored. Meanwhile, the design of such multi-functional spaces requires a generative approach capable of objectively and measurably representing configurational relationships. Accordingly, the present study employs the quantitative method of Space Syntax as its theoretical framework and analytical tool—a methodology that, through modeling and evaluating spatial configuration relationships, enables the prediction of areas suitable for events, interaction, and retreat. Within this framework, the functional spaces of the bridge are modeled as nodes within a spatial network, together with their connections, in the Grasshopper–Rhino environment, and various configuration scenarios are developed based on common spatial organization patterns. The key Space Syntax indices are then extracted using computational simulation and serve as the basis for a comparative evaluation of the scenarios. By integrating theoretical analysis and generative design, this process establishes the groundwork for presenting a data-driven and locally adaptable model for the optimal organization of pedestrian-oriented bridges in various Iranian contexts.
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