THE WORLD BANK GROUP has floated a tender for Flood Exposure and Vulnerability Mapping. The project location is Congo and the tender is closing on 14 May 2020. The tender notice number is 1268421, while the TOT Ref Number is 42686561. Bidders can have further information about the Tender and can request the complete Tender document by Registering on the site.

Expired Tender

Procurement Summary

Country : Congo

Summary : Flood Exposure and Vulnerability Mapping

Deadline : 14 May 2020

Other Information

Notice Type : Tender

TOT Ref.No.: 42686561

Document Ref. No. : 1268421

Competition : ICB

Financier : Self Financed

Purchaser Ownership : -

Tender Value : Refer Document

Purchaser's Detail

Purchaser : THE WORLD BANK GROUP
BDEAC Building, 2nd Floor Denis Sassou Nguesso Boulevard Brazzaville Tel +242 05 550 30 55 / +242 06 852 53 62
Congo
Email :congoalert@worldbank.org

Tender Details

Expression of Interest are invited for Congo Republic: Flood Exposure and Vulnerability Mapping.

request for expression of interest for selection # 1268421

This Request for Expression of Interest is for a Firm Selection. Please log in as a valid Firm User if you wish to express interest in this selection.

Selection Information

Assignment Title

CONGO REPUBLIC: Flood exposure and vulnerability mapping.

Publication Date

06-May-2020

Expression of Interest Deadline

14-May-2020 at 11:59:59 PM (Eastern Time – Washington D.C.)

Language of Notice

English

Selection Notice

Assignment Country

· CG - Congo, Republic of

Funding Sources

The World Bank Group intends to finance the assignment/services under:

· BB - BANK BUDGET

· TF0A6518 - Integrating urban resilience into poor neighborhood upgrading activities in Brazzaville and Pointe Noire (Republic of Congo)

Individual/Firm

The consultant will be a firm.

Assignment Description

The World Bank is currently working to improve urban resilience through the Congo Urban Development and Poor Neighborhood Project (DURQuaP, P146933). DURQuaP is complemented by a technical assistance (TA) funded by the ACP-EU Natural Disaster Risk Reduction Program (ACP-EU NDRR), Integrating Urban Resilience into Poor Neighborhood Upgrading Activities in Brazzaville and Pointe Noire. Together, these projects will increase access to basic infrastructure and services and strengthen Government and Municipal capacity against disaster risks in poorer neighborhoods of the City. World Bank projects are also working in collaboration with the Ministry of Large-Scale Works and Territorial Planning, the Ministry of City and Construction, and the Disaster Risk Management unit of the Ministry of Tourism and Environment.

To inform the above initiatives with geospatial analysis, the objective of this consultancy is to (i) carry out activities on 360 degree-image processing for precise exposure mapping to flood risk and landslide risk, and (ii) provide learning and training on innovative technologies for 360 street level image surveys.

This assignment will be carried out in 4 selected neighborhoods in Brazzaville and Pointe Noire (2 each). Upon the consultants technical assessment, major roads or additional neighborhoods can also be part of the study. The Consultant will provide methodology, estimated costs and timeframe to expand the coverage to the whole city of Brazzaville and Pointe-Noire. Precise areas will be defined in coordination with the client. Further details are described in the Terms of Reference.

Attachments

· Optional TOR File

Qualification Criteria

· 1. Qualifications: The consultant`s team should have proven competencies in project management for science and technologies or related fields; earth observation, machine learning, complex systems and spatial planning 360 Street View imagery and on-site data survey; with experience in African context and French and English language competencies.

· 2. Technical requirements to the proposal The Technical Proposal shall be presented electronically in Adobe PDF format, in English. Text shall be single spaced 12 pt. Times Roman, formatted on A4 paper with 25mm margins all around (page headers and footers may be within the margins). The main body of the Technical proposal, including figures and tables, shall not exceed 30 pages in length and shall describe the project team, its organization and qualifications, and a technical and project manage

· 3. The core business of the consultancy should be in earth observation, machine learning, complex systems and spatial planning. Team members should have least 3-5 years of experience in this field.

· 4. Qualifications of Key Staff The firm for this assignment will have the following experience and qualifications: The team should be composed of at least three (3) key team members: one (1) Project Manager (expert in science and technologies or related fields; PhD is an advantage), one (1) Expert in earth observation, machine learning, complex systems and spatial planning; and one (1) Expert in 360 Street View imagery and on-site data survey; The key team members, in particular the project


Terms of Reference: Flood exposure and vulnerability mapping using street level image automatic acquisition and machine learning in Brazzaville and Pointe-Noire, Republic of Congo

1. Introduction

Background: Brazzaville, Republic of Congo
With a population of 4.4 million, 64 percent of which lives in urban areas, the Republic of Congo is one of the most urbanized countries in Africa. Brazzaville, Congo’s economic capital and home to a quarter of the country’s population, faces recurring challenges as population growth pushes households into flood and erosion-prone areas. Efforts to reduce the population’s vulnerability to climate related hazards have been inhibited by lack of effective urban planning, limited investment, and inadequate institutional capacity of key stakeholders at the national and local levels. Local Government has limited GIS capacity, and cartographic products of the urban infrastructure are outdated, incomplete, or inaccessible. The OpenStreetMap data for Brazzaville and Pointe Noire has been updated, however the georeferenced information still must be operationalized to inform and facilitate resilient and inclusive urban planning.
The World Bank is currently working to improve urban resilience through the Congo Urban Development and Poor Neighborhood Project (DURQuaP, P146933). DURQuaP is complemented by a technical assistance (TA) funded by the ACP-EU Natural Disaster Risk Reduction Program (ACP-EU NDRR), Integrating Urban Resilience into Poor Neighborhood Upgrading Activities in Brazzaville and Pointe Noire. Together, these projects will increase access to basic infrastructure and services and strengthen Government and Municipal capacity against disaster risks in poorer neighborhoods of the City. World Bank projects are also working in collaboration with the Ministry of Large-Scale Works and Territorial Planning, the Ministry of City and Construction, and the Disaster Risk Management unit of the Ministry of Tourism and Environment.
More specifically, under the DURQuaP, 4 neighborhoods have been selected: Soukissa et Moukoundzi-Ngouaka in Brazzaville and Tchiniambi 1 et Mboukou in Pointe Noire, that will benefit from s: (a) neighborhood roads and lighting; (b) drainage works and environmental and anti-erosion work; (c) water and electricity networks and access; and (d) commercial facilities, health centers, primary schools, and other municipal infrastructure. The total area of the beneficiary neighborhoods to be upgraded is 420 ha, and the cost is estimated at about US$130, 000 per ha.
Building on the success of the Open Cities project in South Asia, the global Open Data for Resilience Initiative, and GFDRR’s Code for Resilience and Open Cities Africa, the ACP-EU NDRR TF has helped to significantly increase the availability of Open geographic Data and started a discussion among stakeholders about the relevance of Disaster Risk Management in the neighborhoods by contributing to the achievement of the following goals:

1) To create a community of students and professional with applied skills in mapping and risk-related cartography and create sustainable dynamics around these communities
2) To increase the amount of open spatial data about the built environment, critical
infrastructure, and natural hazards
3) To increase community engagement and raise awareness about natural disaster risk and community intervention
4) To facilitate peer mentorship and build regional networks among the Pointe Noire, Brazzaville and the other Open Cities peers
The activities under this ToR focus on informing the integration of Disaster Risk considerations in the upgrading of the four neighborhoods, as well as building on the Open Data engagement in the 2 cities.
2. Objectives of this assignment
The objective of this consultancy is to (i) carry out activities on image processing for precise exposure mapping to flood risk and landslide risk, and (ii) provide learning and training on innovative technologies for 360 street level image surveys.


3. Scope of the Work
This assignment will be carried out in 4 selected neighborhoods in Brazzaville and Pointe Noire. Upon the consultant’s technical assessment, major roads or additional neighborhoods can also be part of the study. The Consultant will provide methodology, estimated costs and timeframe to expand the coverage to the whole city of Brazzaville and Pointe-Noire. Precise areas will be defined in coordination with the client. This assignment will have three (3) main tasks as described below.
3.1. Task 1: Literature Review and Methodology
The consultant will review existing literature on state-of-the-art street view imagery, automatic acquisition and machine learning. Acknowledging the breath of each field, the consultant will focus its review at their intersection. This task will provide the theoretical ground for the consultant to propose the technical details for the methodology it intends to employ during technical preparation and post-processing (including the description of the employed methodology, tests and validation of image acquisition, data used, georeferenced data, quality graphs, maps and visualization of results). The consultant will create a protocol for image acquisition and training material for surveyors. The identification and recruitments of surveyors will be done with the help of the DURQUAP project implementation unit – the list of OSM-trained residents in Brazzaville and Pointe-Noire will be communicated to the Client. The consultant will then focus on the training and supervision of surveyors. To that extent, the consultant will prepare learning and capacity bu

Documents

 Tender Notice