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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.

         

OpenBright grant awardees from Bournemouth University

Awarded & submitted bids

OpenBright grants have been available since 2020 to support women in the development of research projects at the university level, focusing on subjects related to computing and technology. OpenBright offers small grants for students studying for degrees or postgraduate qualifications in areas such as software engineering, data science, digital media, artificial intelligence, and robotics.

We are thrilled to introduce the awardees:

Assemgul Kozhabek (Final year Ph.D. candidate): Assemgul is the second-time OpenBright grant awardee. Her plan is to upgrade her computer system to conduct a thorough analysis of road networks. This upgrade will greatly support her project, titled “Examining the Topology of Urban Road Networks in densely populated countries: China and India”. Assemgul and her supervisor Dr. Wei Koong Chai abstracted road networks as complex systems and employ tools from network science to study their properties.  This study introduces multi-level urban road network robustness metrics, which incorporates macro, meso and micro perspectives. Assemgul thanks her supervisor  Dr. Wei Koong Chai and Dr. Melanie Coles for their guidance and support!

Fatima Ahmad Muazu (1st year Ph.D. student): Fatima got funding for her project “The Use of Mobile Learning and Assistive Technologies for Enhancing Digital Inclusion in Special Education for Learners with Learning Disabilities in underserved regions of Northern and Southern Nigeria”. The funding will be used to conduct a preliminary needs analysis involving stakeholders and students in special education settings of 4 Nigerian secondary schools.

Maggie Foulds (Final year BSc Software Engineering student): Her project is the development of a mobile application to aid all-star cheerleading coaches in the creation of competition routines, and to help ensure athlete safety throughout the season. Maggie has been awarded funding from the OpenBright foundation to travel to a software development conference in Miami, to boost her coding skills to take her project to the next level. OpenBright is also supporting me to attend the Cheerleading World Championships in Orlando, where I will be able to test a prototype of my application with stakeholders.

Ayo Agbeja (MSc Data Science and Artificial Intelligence): Ayo’s research title is “Plastic Wastes and Sustainability Targets in Germany: A Policy Simulation Experiment using Machine Learning”. Her project has a primary focus on Germany and aims to investigate the relationship between policies related to plastic waste management and sustainability objectives, particularly in the context of reducing carbon emissions. This simulated model will take into account the key factors: economic growth, oil and coal production, the generation of renewable energy, and energy consumption, while making projections based on an optimal weighting of these factors.

Congratulations!