Modeling the Impact of the Development Road Project on Regional Countries Using Artificial Intelligence Methods and Potential Outcomes

The Development Road project is a large-scale infrastructure initiative that aims to establish a multimodal transport corridor spanning 1,200 kilometers between Iraq’s Grand Faw Port and the Turkish border. This project, initiated in 2021, is designed to modernize Iraq's transportation infrastructure, integrating advanced railway and highway systems to enhance the movement of passengers and goods across the region. With the railway designed to accommodate speeds of up to 300 km/h for passengers and 120 km/h for freight, and a highway network supporting high-speed traffic, the Development Road seeks to connect Iraq more effectively with global trade routes, particularly linking the Far East, Middle East, and Europe. As of September 2024, the project has progressed through critical pre-feasibility and feasibility phases, culminating in the selection of optimal routes. The preliminary design phase, which began in 2023, is currently addressing topographical and geotechnical challenges. Despite delays, particularly in the railway system, significant progress has been made, with projected completion expected by 2030. The project is expected to generate around 100,000 jobs during its construction phase, contributing to economic diversification by reducing Iraq’s reliance on oil revenues. By fostering regional integration, the Development Road will serve as a key driver for economic growth, industrial development, and sustainable infrastructure, positioning Iraq as a central player in global trade and regional socio-economic progress.

Authors

Institutions

Publication Details

Journal
DergiPark (Istanbul University)
Published
2024-10-21
Primary Topic
Advanced Data Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling the Impact of the Development Road Project on Regional Countries Using Artificial Intelligence Methods and Potential Outcomes

Demiral Akbar
DergiPark (Istanbul University)
Advanced Data Processing Techniques
article

Modeling the Impact of the Development Road Project on Regional Countries Using Artificial Intelligence Methods and Potential Outcomes

Demiral Akbar
article en

Abstract

The Development Road project is a large-scale infrastructure initiative that aims to establish a multimodal transport corridor spanning 1,200 kilometers between Iraq’s Grand Faw Port and the Turkish border. This project, initiated in 2021, is designed to modernize Iraq's transportation infrastructure, integrating advanced railway and highway systems to enhance the movement of passengers and goods across the region. With the railway designed to accommodate speeds of up to 300 km/h for passengers and 120 km/h for freight, and a highway network supporting high-speed traffic, the Development Road seeks to connect Iraq more effectively with global trade routes, particularly linking the Far East, Middle East, and Europe. As of September 2024, the project has progressed through critical pre-feasibility and feasibility phases, culminating in the selection of optimal routes. The preliminary design phase, which began in 2023, is currently addressing topographical and geotechnical challenges. Despite delays, particularly in the railway system, significant progress has been made, with projected completion expected by 2030. The project is expected to generate around 100,000 jobs during its construction phase, contributing to economic diversification by reducing Iraq’s reliance on oil revenues. By fostering regional integration, the Development Road will serve as a key driver for economic growth, industrial development, and sustainable infrastructure, positioning Iraq as a central player in global trade and regional socio-economic progress.

DergiPark (Istanbul University)
Energy Driven Technologies (United States) (US), Ostim Technical University (TR)
Partnerships for the goals
Openalex Percentile: Top 70%
Advanced Data Processing Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.