Authors

  • Shuxrat Bo‘riyev
  • Alovuddin Boymurzayev
  • Umidjon Xakimov

DOI:

https://doi.org/10.71337/inlibrary.uz.ijai.107921

Abstract

As Central Asia emerges as a pivotal hub in the trans-Eurasian transport network, countries are investing in strategic railway corridors to capture transit trade flows. The Uzbekistan–Kyrgyzstan–China (UKC) railway, still under development, seeks to compete with established routes such as the Kazakhstan–China and Iran–Central Asia corridors. Assessing the transit competitiveness of these corridors is essential for regional policy and investment planning.

 

 

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INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE

ISSN: 2692-5206, Impact Factor: 12,23

American Academic publishers, volume 05, issue 05,2025

Journal:

https://www.academicpublishers.org/journals/index.php/ijai

page 2001

COMPARATIVE ANALYSIS OF TRANSIT COMPETITIVENESS: UKC RAILWAY

VS. KAZAKHSTAN AND IRAN CORRIDORS

Bo‘riyev Shuxrat Xamroqul ugli,

Boymurzayev Alovuddin Ramozoп ugli,

Xakimov Umidjon

Introduction

As Central Asia emerges as a pivotal hub in the trans-Eurasian transport network, countries are

investing in strategic railway corridors to capture transit trade flows. The Uzbekistan–

Kyrgyzstan–China (UKC) railway, still under development, seeks to compete with established

routes such as the Kazakhstan–China and Iran–Central Asia corridors. Assessing the transit

competitiveness of these corridors is essential for regional policy and investment planning.
This study compares the UKC railway corridor with alternative routes in terms of transit time,

cost efficiency, infrastructure quality, geopolitical risk, and customs performance. It aims to

determine whether UKC can emerge as a preferred option for transcontinental freight

movement between China and Europe.
Methods
The research employs a multi-criteria comparative analysis methodology, using both qualitative

and quantitative indicators. Key steps include:
- Transit Time and Cost Benchmarking: Based on published freight schedules and pricing from

logistics providers and railway authorities.

- Infrastructure Assessment: Evaluation of track quality, tunnel capacity, and intermodal

facilities.

- Risk Indexing: Analysis of geopolitical risk, customs efficiency, and border delays using

World Bank and Global Logistics Index data.

- Expert Consultation: Interviews with freight forwarders and policy analysts in Kazakhstan,

Uzbekistan, and Iran.

Performance indicators were normalized to create a weighted composite index of corridor

competitiveness.
Results
The Kazakhstan route currently handles over 55% of trans-Central Asian rail traffic, with an

average transit time of 12 days from western China to Europe. The Iran route, affected by

sanctions and infrastructure constraints, averages 15–17 days. The projected UKC corridor is

expected to achieve an 8–10 day delivery window.

Table 1: Corridor Comparison Summary


background image

INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE

ISSN: 2692-5206, Impact Factor: 12,23

American Academic publishers, volume 05, issue 05,2025

Journal:

https://www.academicpublishers.org/journals/index.php/ijai

page 2002

| Metric

| UKC (Projected) | Kazakhstan | Iran Corridor |

|-----------------------------|----------------|------------|---------------|

| Avg. Transit Time (days) | 8–10

| 12

| 15–17

|

| Avg. Freight Cost (USD/TEU)| 3,100

| 3,700

| 3,300

|

| Customs Time (hours)

| 10–12

| 16

| 20+

|

| Border Crossings (#)

| 2

| 3

| 4

|

| Geopolitical Risk (score) | Medium

| Low

| High

|

UKC shows a cost and time advantage over Iran and is competitive with Kazakhstan on

performance metrics. However, it lacks the operational maturity of its counterparts.
Discussion
The comparative analysis confirms that UKC has the potential to outperform existing corridors

in terms of time and cost efficiency, provided it meets its projected infrastructure and regulatory

targets. Its streamlined route design, fewer border crossings, and favorable topography (post-

tunnel development) contribute to its competitiveness.

The Iran route faces major geopolitical and financial sanctions risks, affecting its long-term

reliability. Meanwhile, Kazakhstan's corridor, though well-developed, is nearing capacity,

causing potential bottlenecks.

UKC’s success will depend on synchronized policy frameworks, digital customs integration,

and logistics zone development. Further, investment in terminal automation and cargo handling

efficiency will be required to maintain its edge.

Transport operators express cautious optimism, citing the need for transparent tariffs,

predictable border policies, and multi-modal connectivity (road–rail–sea) to enhance corridor

performance.
Conclusion
The UKC railway corridor has a viable opportunity to emerge as a leading Central Asian transit

route, especially if complemented by institutional and technological enhancements. It offers

lower transit times, fewer geopolitical disruptions than Iran, and potentially better cost

structures than the Kazakhstan route.

Stakeholders should prioritize phased investments, international cooperation on customs

harmonization, and continuous monitoring of corridor performance metrics to ensure long-term

competitiveness.

References:

1. World Bank. (2023). Logistics Performance Index Report.

2. UNESCAP. (2022). Corridor Development and Transit Analysis in Central Asia.

3. CAREC Institute. (2023). Regional Freight Flow and Risk Assessment.

4. Kazakh Railways. (2022). Transit Traffic Statistics.


background image

INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE

ISSN: 2692-5206, Impact Factor: 12,23

American Academic publishers, volume 05, issue 05,2025

Journal:

https://www.academicpublishers.org/journals/index.php/ijai

page 2003

5. Iranian Ministry of Transport. (2021). Transit Corridor Feasibility Report.

6. Deloitte. (2023). Geopolitical Risk in Infrastructure Development.

7. Maersk Logistics. (2022). Freight Tariff Index for Eurasian Corridors.

8. Uzbek Ministry of Transport. (2023). UKC Railway Investment Overview.

9. International Union of Railways. (2021). Transcontinental Corridor Profiles.

10. UNCTAD. (2023). Customs Efficiency and Trade Facilitation Benchmark.

References

World Bank. (2023). Logistics Performance Index Report.

UNESCAP. (2022). Corridor Development and Transit Analysis in Central Asia.

CAREC Institute. (2023). Regional Freight Flow and Risk Assessment.

Kazakh Railways. (2022). Transit Traffic Statistics.

Iranian Ministry of Transport. (2021). Transit Corridor Feasibility Report.

Deloitte. (2023). Geopolitical Risk in Infrastructure Development.

Maersk Logistics. (2022). Freight Tariff Index for Eurasian Corridors.

Uzbek Ministry of Transport. (2023). UKC Railway Investment Overview.

International Union of Railways. (2021). Transcontinental Corridor Profiles.

UNCTAD. (2023). Customs Efficiency and Trade Facilitation Benchmark.