This document establishes the Environmental and Social Management Framework (ESMF) of the Transport Sector Development and Coastal Protection Project (TSDP)
The project is funded by the World Bank (WB) and the Government of STP (GSTP) and in addition to providing support to consolidate the road sector institutional set up and improve asset management practices with a focus on climate resilience it aims to finance the rehabilitation and works supervision of the National N1 Road (EN1) from São Tomé to Guadalupe (13.3 km) as well as the preparation of the detailed engineering design, the bidding documents and the safeguards instrument of the road section Guadalupe – Neves (13.7 km). In parallel there will be works to strengthen the protection of the coast/Marginal of the city of S Tomé, which will be under a different financial arrangement, i.e. involving the European Investment Bank and the Dutch Bilateral Aid.
The National Road EN1 is used by more than 76,000 vehicles per week, most of which are light vehicles (47.7%) and motorbikes (47.4%), followed by buses (3.4%), trucks (1.3 %) and tractors (0.1%). The peak period is between 11:00 am and 4:00 pm (37.8%), followed by the period from 06:00 am to 11:00 am (32.4%) and finally the period from 16:00 to 20:00 hours (29.7%). From 20:00 onwards practically no traffic is noticed, or it is very limited. Projections will still be made to understand the potential variations over time, i.e. to 2040, which may be informed by attracted traffic, population growth and the economy itself. Volumes may become significant.
The implementation agencies of the project are the Fiduciary and Project Administration Agency (AFAP) and the National Roads Institute (INAE). INAE is the project implementation agency for the rehabilitation of EN1 under Component 2 and the main beneficiary of the institutional support to improve road asset management practices with a focus on climate resilience.. This will also be done in close collaboration with AFAP.
The proposed project consists of four components estimated to cost US$ 29 million, funded and distributed as described below.