SDRPY Signs Cooperation With Yemen Roads Maintenance Fund To Boost Transport Infrastructure

The Saudi Development and Reconstruction Program for Yemen signed a memorandum of cooperation with the Roads Maintenance Fund in Yemen, strengthening ongoing support for the transport sector. The agreement aims to improve road infrastructure efficiency, ease movement between regions, and help stimulate trade and wider economic activity across the Republic of Yemen.

Under the memorandum, both sides plan several technical and operational measures to keep roads functional and safe. The cooperation includes installing vehicle weighing stations to monitor legal load limits, providing specialised technical and advisory support for road rehabilitation and operation, and working with Saudi entities to build the fund’s institutional and technical capacities.

The Saudi Development and Reconstruction Program for Yemen has already carried out transport projects covering roads, ports, airports, and border crossings. These activities support safer travel for people and goods, improve logistics performance, and increase access to essential services and markets, while also reinforcing social ties and helping commercial and wider economic exchanges within Yemeni governorates.

Road projects implemented by the Saudi Development and Reconstruction Program for Yemen include rehabilitation, development, and expansion of main and internal routes. Notable works cover the expansion and rehabilitation of Al-Abr Road and Hijat Al-Abd Road, in addition to projects on other key roads in several governorates, with a combined length exceeding 200 kilometres across the country.

Beyond transport, the Saudi Development and Reconstruction Program for Yemen has delivered 268 development projects and initiatives. These span eight main sectors: education, health, water, energy, transport, agriculture and fisheries, development and support of Yemeni government capacities, and development programs, implemented across multiple Yemeni governorates in line with identified local needs.

With inputs from SPA