How Efficient Is Tehran’s Transport Network? A Route Factor Perspective on Accessibility, Urban Form, and Comparisons with European Cities and Greater London

Tehran's average Route Factor is 1.52, meaning trips between its 22 districts are about 52% longer than direct distances. While indicating moderate network efficiency, this highlights important planning challenges related to air pollution, car dependence, and fragmented land use.
How Efficient Is Tehran’s Transport Network? A Route Factor Perspective on Accessibility, Urban Form, and Comparisons with European Cities and Greater London
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Investigating the Impact of Accessibility on Land Use and Its Role in Environmental Pollution in Tehran

Transportation and land use are the two major sectors that contribute the most to the spread of environmental pollution. Transportation through accessbility affects land use while land use through the production and attraction of trip affects transportation. The purpose of this study is to investigate the accessibility of 22 districts of Tehran metropolis, how the city develops and their impact on increasing air pollution. This is an applied research where the data and information used in this research were obtained from Tehran Municipality and Statistics Center of Iran and for their classification and analysis, depending on the need, SPSS, Arc GIS and Google Earth software have been used. The results of Pearson correlation show that about 24% of land uses in Tehran have a significant relationship, which indicates a high separation between types of land uses and ultimately the scattered growth of Tehran. By analyzing and calculating the accessbilities, it was found that 38% of the internal communications between the districts are at the level of good and very good accessbility, 32% have the average level of accessbility and 30% are at the level of poor and very poor. The average route factor of Tehran is estimated to be 1.52, which indicates that Tehran is classfied in the average level of accessbility. Another finding of this study is the effect of land uses and accessbility levels on increasing air pollution in Tehran which is important to urban planners and policy makers.

🚦 Why do some journeys feel much longer than they should?

This simple question motivated our research on transport accessibility in Tehran, one of the largest and fastest-growing metropolitan areas in the Middle East.

When discussing urban mobility, planners often focus on congestion, travel time, or public transport coverage. However, another important indicator receives far less attention: Route Factor, sometimes called circuity or the detour index. Route Factor measures how much longer a real trip on a transport network is compared with the ideal straight-line distance between two locations.

A Route Factor of 1.0 would represent a perfectly direct connection. Higher values indicate that travellers must take increasingly indirect routes because of street layouts, barriers, topography, land-use patterns, or network design.

🏙️ Exploring accessibility across Tehran

In our 2022 study, we applied Route Factor analysis to travel connections between Tehran’s 22 municipal districts. The goal was to better understand how efficiently the city's transport network connects people, jobs, services, and opportunities.

The results revealed an average Route Factor of 1.52. In practical terms, journeys between districts are approximately 52% longer than the direct distance separating them.

Accessibility conditions were far from uniform. Around 38% of inter-district connections showed good or very good accessibility, while 32% fell into the average category. The remaining 30% were classified as poor or very poor, indicating substantial inefficiencies in several parts of the city.

The findings suggest that while Tehran's network cannot be considered critically inefficient, significant opportunities exist for improving connectivity and reducing unnecessary travel distances.

🌍 How does Tehran compare internationally?

Route Factor analysis has been applied in many cities around the world under different names, including circuity, network directness, and detour index.

Studies of approximately 300 European cities report average road circuity values close to 1.34. Research on Greater London and surrounding metropolitan areas has found values ranging roughly from 1.39 to 2.09 depending on the scale and location examined.

Against this international backdrop, Tehran's average value of 1.52 places the city within the range observed in many large metropolitan regions. However, the comparison also highlights room for improvement, particularly given Tehran's environmental and mobility challenges.

🔎 The issue is bigger than roads

One of the most important lessons from this research is that transport efficiency cannot be explained solely by street geometry.

Several factors interact to increase travel distances across Tehran:

• Low-density peripheral development

• Weak land-use integration

• Spatial separation between housing, employment, education, and services

• Mountainous terrain and physical barriers

• Heavy dependence on private automobiles

When destinations are dispersed and urban functions become separated, residents are forced to travel farther for work, education, healthcare, shopping, and recreation. Longer trips contribute to higher fuel consumption, increased congestion, greater greenhouse-gas emissions, and worsening air quality.

🎯 From transport metric to planning tool

Route Factor should therefore be viewed as more than a transportation indicator.

It can help planners identify locations where investments in public transport may generate the greatest benefits, where local service hubs could reduce travel demand, and where land-use reforms might improve accessibility and urban equity.

For rapidly growing megacities, accessibility indicators such as Route Factor can provide valuable evidence for designing more connected, sustainable, and resilient urban environments.

💬 Looking ahead

As cities continue to expand, improving accessibility may be just as important as building new infrastructure.

Can Route Factor analysis help cities identify hidden inefficiencies in their transport networks and support cleaner, fairer, and more accessible urban futures?

I would be delighted to hear from researchers and practitioners working in GIS, accessibility analysis, transport planning, urban form, land-use planning, sustainability, and environmental management.

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