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AN OVERVIEW OF TRANSPORT LOGISTICS IN KAZAKHSTAN: FOCUS ON THE
CASE OF ASTANA
Mansurova Makhina Yashnarovna
Associate Professor, Diplomat University
Jumaboev Behzod
PhD student, Tashkent University of Information Technologies
Abstract:
Kazakhstan’s strategic location as a landlocked nation between Europe and Asia
makes it a key node in regional transport corridors. Astana, the capital city, exemplifies both the
challenges and opportunities of urban logistics transformation in the face of rapid urbanization.
This article offers a comprehensive analysis of transport logistics in Astana, applying spatial
modeling, graph theory, and logistics metrics to assess infrastructure accessibility and flow
efficiency. The study provides insight into infrastructure planning, policy reform, and
technological integration necessary to transform Astana into a modern logistics hub. Charts and
figures support the analysis, emphasizing performance indicators, traffic bottlenecks, and
optimization strategies.
Keywords:
Kazakhstan, transport logistics, Astana, urban infrastructure, logistics polarity, graph
theory, freight flow, route optimization, smart transport systems, urban planning
1. Introduction
Kazakhstan serves as a key logistics corridor in Eurasia, acting as a land bridge for China-Europe
trade. Astana, as the political and administrative center, is at the forefront of the nation’s efforts
to modernize its transport logistics systems. However, the city faces significant infrastructure
challenges. Rapid population growth, unbalanced urban expansion, and outdated logistics hubs
have strained the existing systems. To address these issues, this paper investigates the structure
of Astana’s logistics networks using spatial analysis, infrastructure indicators, and computational
modeling.
2. Urbanization and Logistics Challenges
Astana has grown rapidly from a modest administrative center to a city with over 1.5 million
residents. This growth has introduced challenges in freight movement, passenger mobility, and
logistics coordination. Infrastructure congestion is especially evident in core urban areas where
logistic demand and residential density intersect. Peripheral districts remain underserved,
highlighting the need for rebalancing resources and introducing smart mobility systems.
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Figure 1. Freight and passenger traffic distribution across Astana’s main districts.
3. Methodology
The study adopts a multi-dimensional methodology combining spatial modeling, statistical data
from 2021–2023, and graph-theoretic analysis. The city is divided into meso-districts and
modeled as a network of nodes and edges. Each node represents a logistics hub or facility, and
edges represent connectivity routes. Logistic polarity scores were used to assess access
inequality, and Dijkstra’s algorithm was applied for route optimization. The results inform the
strategic redistribution of logistics capacity and road infrastructure planning.
Figure 2. Correlation between logistics polarity and road network capacity.
4. Results
Graph theory analysis revealed central meso-districts suffer from congestion while peripheral
areas lack access to key logistics facilities. Polarity scores showed strong correlation with
infrastructure concentration and route density. Optimization algorithms suggested that
reorganizing freight terminals to outer districts could reduce travel times by 18–22%. Visual data
confirmed that a balanced approach to logistics planning can significantly improve performance
and reduce congestion hotspots.Astana, formerly known as Nur-Sultan, is undergoing a strategic
transformation driven by government-backed infrastructure programs. The city has a projected
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population increase to 2.5 million by 2035, accompanied by a 67% rise in motorization
levels.The current urban layout is monocentric, but the 2035 general plan emphasizes
transitioning to a polycentric model to distribute congestion and enhance access. The roadmap
includes expanding the street network density from 4.4 km/km² to 5.2 km/km²,
and raising the number of multilevel automobile interchanges from 24 to 41. Data from the
Bureau of National Statistics indicates that between 2021 and 2023, Astana experienced a 12.3%
annual increase in freight turnover, a 3.5% rise in passenger traffic, and a 40.6% surge in tourist
flows. However, disparities remain stark. The Logistics Performance Index ranks Kazakhstan
79
th
globally, and infrastructure access is unevenly distributed among Astana’s 21 meso-districts.
Urban congestion is directly tied to poor internal street connectivity within meso-districts. Many
buildings lack direct road access, funneling all traffic to peripheral arterial roads. This bottleneck
effect leads to traffic pile-ups, reduced efficiency in freight delivery, and increased
environmental costs from vehicle emissions.This article builds on expert assessments and graph-
theoretical modeling to map the polarity of meso-districts. High-polarity districts show strong
interconnections and logistic capacity but also face the highest congestion. Peripheral districts,
despite availability of land resources, remain underutilized due to limited road linkages and
public investment. The findings underline the importance of integrating transport planning with
urban development, institutional zoning, and ecological considerations.
5. Strategic Recommendations
-
Expand
logistics
terminals
outside
high-density
areas.
-
Establish
multimodal
hubs
near
ring-road
junctions.
-
Integrate
river
freight
along
the
Ishim
River.
- Implement intelligent transport systems (ITS) for real-time traffic optimization.
- Use predictive modeling to guide new infrastructure projects.
6. Conclusion
This paper demonstrates the critical importance of graph-based modeling and spatial analysis in
logistics infrastructure planning. Astana’s rapid development demands a strategic realignment of
freight and passenger logistics systems. Future infrastructure investments should focus on
accessibility, sustainability, and smart integration to meet urban demands and economic goals.
7. Kazakhstan’s Role in Eurasian Logistics Corridors
Kazakhstan is a critical node in Eurasian logistics, functioning as a bridge for East-West and
North-South international trade routes. The country participates in the Trans-Caspian
International Transport Route (TITR), also known as the Middle Corridor, which offers a land-
based alternative to maritime shipping routes between China and Europe. Additionally,
Kazakhstan’s integration into the Belt and Road Initiative (BRI) has led to infrastructure
upgrades such as expanded railways, logistics terminals, and digital customs systems. Key
infrastructure includes the Khorgos Gateway, Aktau Port, and Dry Port facilities, which serve as
critical freight handling and transshipment hubs.
Table 1. Comparative logistics indicators among selected regional economies (World Bank,
2023).
Country
LPI Score (2023)
Road Quality Index Freight Efficiency
Rank
Kazakhstan
2.48
3.1
79
Uzbekistan
2.61
3.5
71
Russia
2.85
3.8
51
Turkey
3.15
4.0
34
8. Environmental Sustainability in Urban Logistics
Transport logistics significantly contributes to urban emissions and air pollution, especially in
cities like Astana where freight and passenger flows are concentrated in a limited number of
corridors. Integrating green logistics practices—such as promoting electric delivery vehicles,
consolidating cargo operations, and expanding non-motorized delivery options—can reduce
carbon emissions and fuel consumption. Urban consolidation centers, shared delivery networks,
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and zoning for logistic hubs away from residential districts also contribute to improved
environmental outcomes.
9. Smart Transport Technologies
Astana’s smart city agenda includes the deployment of Intelligent Transport Systems (ITS) to
enhance traffic monitoring, predictive congestion management, and logistics automation. ITS
components such as traffic sensors, real-time freight tracking, and urban control centers are
being introduced to synchronize logistics operations with urban mobility needs. These systems
allow for dynamic route adjustments, real-time delivery updates, and integration with city-wide
data platforms for better decision-making.
10. Case Study: Khorgos Gateway
Khorgos Gateway on the Kazakhstan-China border is one of the largest dry ports in the world. It
serves as a key entry point for Eurasian rail traffic. The terminal handles containerized cargo that
connects Central Asian markets with China and Europe. Its infrastructure includes automated
cranes, customs warehouses, and rail transfer stations that enable rapid processing. Lessons from
Khorgos highlight the need for strong policy coordination, international partnerships, and
continuous investment in infrastructure to support logistics ecosystems.
11. Human Capital and Logistics Workforce
A well-trained logistics workforce is crucial for operational efficiency. In Kazakhstan,
universities and technical institutions are beginning to offer specialized training in logistics
management, supply chain analytics, and transport economics. However, there remains a skill
gap in areas such as customs digitization, intermodal logistics, and urban freight planning.
Government and private sector collaborations are essential to align curriculum with market needs
and expand professional certification programs.
12. Conclusion and Outlook
Astana’s transport logistics landscape reflects both its growing regional importance and the
structural gaps that limit operational efficiency. A multi-pronged strategy integrating
infrastructure upgrades, policy reform, sustainability, and education will help Kazakhstan evolve
into a major logistics hub. Smart city integration and regional cooperation are expected to shape
the next decade of logistics development, with Astana serving as a model for Central Asian
urban transformation.
References
[1] Syzdykbayeva, B. et al. (2025). Improving the Transport and Logistic Infrastructure of a City
Using the Graph Theory Method: The Case of Astana, Kazakhstan. Sustainability, 17(2486).
[2] World Bank. (2023). Logistics Performance Index.
[3] Crainic, T.G., et al. (2019). Planning Hyperconnected Urban Logistics Systems.
[4] IMD Competitiveness Yearbook. (2023).
[5] Dablanc, L. (2007). Goods Transport in Large European Cities.
