Unfolding the dynamical structure of Lisbon's public space: space syntax and micromobility data

Area of Science:

• Urban Planning
• Transportation Geography
• Spatial Analysis

Background:

• Space Syntax theory posits spatial morphology significantly impacts movement patterns.
• Micromobility services, like e-scooters, are increasingly integrated into urban public spaces.
• Understanding the interplay between urban form and micromobility is crucial for effective planning.

Purpose of the Study:

• To investigate the influence of spatial morphology at various scales on micromobility usage in public spaces.
• To analyze the scale dependency of space syntax properties in relation to micromobility patterns.
• To explore the dynamic nature of urban network centrality considering spatiotemporal factors.

Main Methods:

• Utilized an axial map and network analysis for Lisbon's public spaces.
• Computed space syntax metrics (intelligibility, accessibility, permeability, local dimension).
• Compared network clustering with e-scooter parking data using variation of information metric.

Main Results:

• Space syntax properties were found to be scale-dependent within Lisbon's pedestrian network.
• Correlation analysis indicated spatial morphology is not the only determinant of micromobility.
• Centrality in urban networks is dynamic, influenced by both static topology and spatiotemporal flows.

Conclusions:

• Spatial morphology plays a role in micromobility but does not solely dictate its use.
• Urban network centrality is a dynamic concept influenced by real-time usage patterns.
• Further research into spatiotemporal dynamics is needed to fully understand micromobility in urban environments.