ORCID
0000-0002-5892-9846
Subject Area
Civil and Environmental Engineering
Article Type
Original Study
Abstract
Transportation projects are major resource-intensive projects that largely influence the transportation system’s resilience, human health, and quality of life. This study aims to assess and prioritize four transportation projects in Zagazig City, Egypt, in an attempt to build a more sustainable transport system. The travel demand model is used to determine various traffic characteristics and environmental impacts, and decision-making tools are used to evaluate the proposed projects. Benefit-cost analysis (BCA) is employed to investigate the economic feasibility of the proposed projects, and two hybrid multiple-criteria decision-making (MCDM) methods are used to prioritize the proposed projects. Through the work conducted in this study, different traffic and environmental impacts were identified for the proposed projects. The results of the BCA indicated that all four projects provided a net gain in benefits, but the results of the MCDM showed a slight difference between the application of the two hybrid methods in the prioritization process. These results showed that the proposed approach could be beneficial and effective in evaluating regional transportation projects to achieve a more sustainable transportation system in congested cities
Keywords
Urban Mobility, Congestion Management, Traffic Forecasting, Infrastructure Planning, Project Prioritization
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Sakr, Amr M.; Altaher, Metwally Gouda Mohamed; Solyman, Mahmoud El-Saied Ali; and Attia, Mohamed Ibrahim El-Sharkawi
(2025)
"A Comprehensive Study of Transportation Projects Impact in Congested Cities through Travel Demand Modeling and Decision-Making Tools: A Case Study of Zagazig City, Egypt,"
Mansoura Engineering Journal: Vol. 50
:
Iss.
2
, Article 7.
Available at:
https://doi.org/10.58491/2735-4202.3300
Included in
Architecture Commons, Civil and Environmental Engineering Commons, Life Sciences Commons



