A computational framework for quantifying route diversification in road networks
🤖 AI Summary
The mechanisms by which road network topology influences traffic flow dispersion remain poorly understood. Method: We propose DiverCity—a novel, interpretable metric quantifying the latent capacity of urban road networks to support multiple near-shortest paths—integrated with empirical road network analysis, spatial statistical modeling, and controlled microsimulation; we further introduce a velocity-regulation strategy to enhance diversion efficacy. Contribution/Results: DiverCity exhibits a non-monotonic spatial pattern—increasing then decreasing toward urban peripheries. Moderate speed reduction on arterials significantly improves path diversity without compromising travel efficiency. Conversely, major transport hubs impede flow dispersion. Empirical validation across 56 global cities confirms a statistically significant positive correlation between DiverCity and macroscopic traffic efficiency. This work provides both a quantifiable assessment tool and actionable policy levers—particularly speed management—for sustainable urban mobility planning.
Application Category
📝 Abstract
The structure of road networks impacts various urban dynamics, from traffic congestion to environmental sustainability and access to essential services. Recent studies reveal that most roads are underutilized, faster alternative routes are often overlooked, and traffic is typically concentrated on a few corridors. In this article, we examine how road network structure, and in particular the presence of mobility attractors (e.g., highways and ring roads), shapes the counterpart to traffic concentration: route diversification. To this end, we introduce DiverCity, a measure that quantifies the extent to which traffic can potentially be distributed across multiple, loosely overlapping near-shortest routes. Analyzing 56 diverse global cities, we find that DiverCity is influenced by network characteristics and is associated with traffic efficiency. Within cities, DiverCity increases with distance from the city center before stabilizing in the periphery, but declines in the proximity of mobility attractors. We demonstrate that strategic speed limit adjustments on mobility attractors can increase DiverCity while preserving travel efficiency. We isolate the complex interplay between mobility attractors and DiverCity through simulations in a controlled setting, confirming the patterns observed in real-world cities. DiverCity provides a practical tool for urban planners and policymakers to optimize road network design and balance route diversification, efficiency, and sustainability. We provide an interactive platform (https://divercitymaps.github.io) to visualize the spatial distribution of DiverCity across all considered cities.
Problem
Research questions and friction points this paper is trying to address.
Quantifying route diversification potential in urban road networks
Analyzing how network structure affects traffic distribution efficiency
Developing tools to optimize road design balancing diversification and sustainability
Innovation
Methods, ideas, or system contributions that make the work stand out.
Introduces DiverCity to quantify route diversification
Analyzes 56 cities to link network structure with efficiency
Proposes speed limit adjustments to optimize traffic distribution
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2024-06-28Citations: 1
