Tagged / BCP Council

What 35 Cities’ Road Networks Teach Us About Urban Complexity?

Publishing

What do Urban Road Networks reveal about life in the World’s Densest Cities?

A newly published paper, “A Multi-scale Network-based Topological Analysis of Urban Road Networks in Highly Populated Cities”, by recent PhD graduate Dr. Assemgul Kozhabek and Dr. Wei Koong Chai, explores this question by analyzing road networks from 35 densely populated cities worldwide—including those in China, India, Brazil, and Côte d’Ivoire. Using network science, the study offers fascinating insights into the structural patterns of urban road systems and their implications for city planning.

Key Findings 

  1. Macro-scale Insights:
    Cities with robust networks—those resilient to disruptions—tend to be more efficient, meaning they offer shorter travel distances. This highlights the importance of balancing robustness and efficiency in urban planning to prevent congestion.
  2. Meso-scale Patterns:
    The study reveals that these cities tend to be polycentric, with multiple key hubs rather than a single central core. Strong community structures (distinct, well-connected neighborhoods) and low core-periphery structures emphasize this decentralized nature.
  3. Micro-scale Observations:
    Critical intersections emerge in all cities, with betweenness centrality following a power-law distribution. This indicates that a few key intersections handle most traffic, making them vital for smooth flow.

Why It Matters 

For city planners, these insights offer valuable guidance. Designing cities with multiple centers, identifying key intersections, and balancing network robustness with efficiency can improve traffic management and urban resilience. As cities grow, smart infrastructure design will be crucial for sustainable urban living.

This study reminds us that cities are more than just buildings and roads—they’re dynamic, interconnected systems. Understanding their structure can lead to smarter, more livable urban environments.

Reference: Kozhabek, A. and Chai, W.K., 2025. A Multi-scale Network-based Topological Analysis of Urban Road Networks in Highly Populated Cities. Environment and planning B: Urban Analytics and City Science. https://doi.org/10.1177/239980832513180

This work was partially funded by the Bournemouth-Christchurch-Poole (BCP) Council, UK and supported by an OpenBright Award.

         

BU PhD Candidate Shares Transportation Expertise at Dorset COP 24

conferences, Knowledge Exchange

🌍🚗 Thrilled to Have Participated in Dorset COP 24! 🚗🌍

Today, I had the incredible opportunity to contribute to the “Future Transport System in Dorset” workshop at Dorset COP 24. As an expert speaker, I joined Dorset and BCP Council representatives, local Transport Action Groups, the General Manager of More Bus, the Lead Director of Great British Railways and engaged community members to reimagine what Dorset’s transport landscape could look like over the next decade—and how we can achieve these changes sustainably.

During the session, I presented my research on complex urban road networks and traffic congestion spread, sparking insightful conversations on innovative, eco-friendly strategies that could reshape our local transport systems. After a dynamic Q&A with experts, I was invited to share my findings with the BCP Council’s Transportation Team and the Dorchester Transport Action Group in their upcoming meetings—a fantastic opportunity to see these ideas reach even wider audiences!

I’m feeling inspired and energized by the collaboration, insights, and shared commitment to a greener future for Dorset. Thank you, Lois Betts (BU Sustainability Manager), Joseph McMullen (BU Lecturer) for the invitation and support. Let’s keep pushing for sustainable progress! 🌱

Assemgul, PhD candidate, SciTech, Computing Department. Research title: “Complex Urban Road Networks: Static Structures and Dynamic Processes.”

BU collaborates with BCP Council and Cambridge University on congestion modelling

open access

Bournemouth University (BU) collaborates with the Bournemouth Christchurch Poole (BCP) Council and Cambridge University on modeling traffic congestion propagation. The work, conducted by Dr. Wei Koong Chai and Ph.D. Candidate Assemgul Kozhabek from BU advocates the use of epidemic theory to model the spreading of traffic congestion in cities.

The team proposes a modified Susceptible-Infected-Recovered (SIR) model that considers the road network structure for a more accurate representation of congestion spreading. Through an N-intertwined modeling framework and analysis using real-world traffic datasets from California and Los Angeles, the study demonstrates improved agreement with actual congestion conditions. The findings offer valuable insights for developing effective traffic congestion mitigation strategies.

Reference:

A. Kozhabek, W. K. Chai and G. Zheng, “Modeling Traffic Congestion Spreading Using a Topology-Based SIR Epidemic Model,” in IEEE Access, vol. 12, pp. 35813-35826, 2024, doi: 10.1109/ACCESS.2024.3370474.