Antecedentes

NOTE: Signed Offeror’s Letter to UNDP Confirming Interest and Availability - http://www.ba.undp.org/content/dam/bosnia_and_herzegovina/docs/Operations/Jobs/Offerors%20Letter%20to%20UNDP%20Confirming%20Interest%20and%20Availability.docx Letter to UNDP Confirming Interest and Availability.docx - to be sent to e-mail ba.shared.hr@undp.org with Subject: Job ID 88063.

Bosnia and Herzegovina (BiH) has been facing several significant extreme climate and weather events, manifested through more frequent occurrence of disasters. The lack of interest for disaster risk reduction (DRR) in the country, resulted in creation of additional disaster risks and low capacities of citizens and systems to understand and address disaster risks. Some improvements in DRR are evident, yet, to date the country failed to introduce identified critical changes of the system and behavior of citizens. Given the climate change projections, the country can expect an increase in the frequency, unpredictability and intensity of flooding, drought, heatwaves and wildfires. This can have an immensely adverse effect on the lives and livelihoods of people if adequate actions fail to be taken.

Currently, there is a dysbalanced focus on higher-level DRR governance structures, compared with those of local governments. This is the main cause for lack of important community DRR initiatives that proved to be most effective means of empowering citizens, including vulnerable categories, and transforming them from disaster victims and creators of disasters to agents of change.

It is evident that a true opportunity to decrease disaster risks in BiH lies in investing and increasing resilience of local communities. In this context, among other outcomes, aim of this project is to raise disaster risk management capacities of five cities/municipalities (Trebinje, Bijeljina, Srebrenica, Prijedor and Banja Luka) by addressing already identified shortcomings of the DRR system. This is primarily related to updating and improving Risk Assessments and Protection and Rescue Plans along with DRR featuring Development Strategies at the local level and training of personnel relevant for the disaster response at the local level. All this will be based on advanced risk assessments that are introducing latest progress in the field by using innovative technologies and vulnerability data.

Under the direct supervision of the Project Manager, Disaster Risk Assessment - GIS Expert, is to prepare detailed inventory of the elements exposed to flood and landslide hazard for cities/municipalities of Trebinje, Bijeljina, Srebrenica, Prijedor and Banja Luka in Bosnia and Herzegovina.

The Inventory should include the identification and valuation of the building stock, infrastructure, and population exposed to the flood and landslide hazards. The inventory may also contain data for essential facilities, high potential loss facilities, selected transportation and lifeline systems, demographics and agriculture. The actual content of the inventory may vary according to the study area under consideration. The Inventory should be prepared in GIS (Geographic Information System) as a shape file for its integration into Disaster Risk Analysis System (DRAS)[1].

Example of Inventory of elements at risk with weight factors

Exposure

Category

Sub category

GIS geometry

Weight factor

Factor Measure

Show What

Population

Polygon

100

Number of

Number of people living under Hazard

Economic

Social standard functions

Bus station

Polygon

40

Estimated value

Number of Bus stations under Hazard

Hospital

Polygon

100

Estimated value

Number of Hospitals under Hazard

Nursing home for elderly people

Polygon

95

Estimated value

Number of nursing homes for elderly people under Hazard

Children social care

Polygon

100

Estimated value

Number of children social care centers under Hazard

Cultural centre

Polygon

20

Estimated value

 Number of … under Hazard

Health centre

Polygon

80

Estimated value

Number of health centers under Hazard

Sport hall

Polygon

30

Estimated value

 Number of … under Hazard

School

Polygon

80

Estimated value

Number of schools under Hazard

Post office

Polygon

60

Estimated value

Number of … under Hazard

City park, urban green spaces

Polygon

20

Estimated value

Area of … under Hazard

Sport terrains, sport airport

Polygon

20

Estimated value

Number of … under Hazard

Shopping mall

Polygon

50

Estimated value

Number of … under Hazard

Religious facilities

Polygon

30

Estimated value

Number of … under Hazard

Military facilities

Polygon

60

Estimated value

Number of … under Hazard

Kindergarten

Polygon

80

Estimated value

Number of kindergartens under Hazard

Railway station

Polygon

45

Estimated value

Number of … under Hazard

State institutions

Polygon

50

Estimated value

Number of … under Hazard

Social objects

Polygon

 

Estimated value

Number of … under Hazard

Border crossing

Polygon

50

Estimated value

Number of … under Hazard

Communal infrastructure, industrial and business complexes

Gas station

Polygon

50

Estimated value

Number of … under Hazard

Electrical power plant

Polygon

80

Estimated value

Number of electrical power plants under Hazard

Transformer substation (35kV, 110kV, 220kV, 400kV)

Polygon

70

Estimated value

Number of transformer substations (35kV, 110kV, 220kV, 400kV) under Hazard

Mobile telephony base station

Polygon

50

Estimated value

Number of … under Hazard

Factory

Polygon

60

Estimated value

Number of … under Hazard

Heating facilities

Polygon

60

Estimated value

Number of … under Hazard

Polluters

Polygon

100

Estimated value

Number of polluters under Hazard

Utility company, dump

Polygon

50

Estimated value

Number of … under Hazard

Cemetery

Polygon

45

Estimated value

Number of … under Hazard

Water distribution pumping station

Polygon

80

Estimated value

Number of water distribution pumping stations under Hazard

Wastewater treatment plant

Polygon

50

Estimated value

Number of … under Hazard

Hotel/Motel of larger capacity

Polygon

45

Estimated value

Number of … under Hazard

Restaurant/cafe/catering facility

Polygon

30

Estimated value

Number of … under Hazard

Farm holds

Polygon

30

Estimated value

Number of … under Hazard

Business and warehouse centres

Polygon

30

Estimated value

Number of … under Hazard

Dam

Polygon

 

Estimated value

Number of … under Hazard

Mine, gravel pit (extraction of gravel)

Polygon

30

Area in Km2

Area of … under Hazard

Landfills, ash dump

Polygon

80

Area in Km2

Area of … under Hazard

Veterinary station

Polygon

30

Estimated value

Number of … under Hazard

Housing

Family housing of density up to 60 inhabitants per 1 ha

Polygon

70

Number of

Number of Family Housing objects of density up to 60 inhabitants per 1 ha under hazard

Family housing of density from 60 to 120 inhabitants per 1 ha

Polygon

75

Number of

Number of Family Housing objects of density from 60 to 120 inhabitants per 1 ha under hazard

Mixed family housing and apartment buildings of density from 100 to 300 inhabitants per 1 ha

Polygon

80

Number of

Number of mixed family housing and apartment buildings of density from 100 to 300 inhabitants per 1 ha under hazard

Apartment buildings of density from 150 to 300 inhabitants per 1 ha

Polygon

90

Number of

Number of apartment buildings of density from 150 to 300 inhabitants per 1 ha under hazard

Apartment buildings of density over 300 inhabitants per 1 ha

Polygon

95

Number of

Number of apartment buildings of density over 300 inhabitants per 1 ha under hazard

Traffic

Highway (60m)

Polygon

75

Length in Km

Length of highway under hazard

Regional road (25m)

Polygon

40

Length in Km

length of road under hazard

Trunk road (40m)

Polygon

50

Length in Km

length of road under hazard

Primary city road

Polygon

75

Length in Km

Length of primary city roads under hazard

Secondary city road

Polygon

50

Length in Km

 length of road under hazard

Non categorized roads

Polygon

30

Length in Km

 length of road under hazard

Railway

Polygon

80

Length in Km

Length of railway under hazard

Mechanical transport depot

Polygon

40

Estimated value

Number of … under Hazard

Protective greenery along the roadways

Polygon

10

Area in Km2

Area of … under Hazard

Traffic areas

Polygon

20

Area in Km2

Number of … under Hazard

Natural areas

Agricultural land

Polygon

20

Area in Km2

Area of … under Hazard

Forest

Polygon

10

Area in Km2

Area of … under Hazard

Water bodies

Polygon

10

Area in Km2

Area of … under Hazard

Protective greenery along the watersides

Polygon

10

Area in Km2

Area of … under Hazard

Undeveloped land and green areas

Polygon

10

Area in Km2

Area of … under Hazard

IPPC

Polygon

100

 

Number of IPPC facilities under hazard

Protected Areas

Water source /Spring protected area

Polygon

100

Area in Km2

Area of protected sources under hazard

Protected area

Polygon

50

Area in Km2

Area of protected areas under hazard

Waterwells

Polygon

100

Number of

Area/Number of waterwells under hazard

Cultural historical

Museums and other cultural activities

Polygon

50

Number of

Number of museums under hazard

Historical monuments

Polygon

50

Number of

Number of monuments under hazard

Protected objects

Polygon

95

Number of

Number of protected objects under hazard

[1] DRAS https://dras.undp.ba/

Deberes y responsabilidades

The inventory of the elements exposed to flood and landslide hazard is used to calculate flood and landslide risks.

The inventory should describe the categories used to classify the various elements at risk (e.g., the building stock should include categories such as residential, commercial, industrial, agricultural, religious, government, infrastructure, roads and education buildings).

In other words, attributes describing the elements at risk provide information to allow estimation of potential damage to selected set of landslide and flood parameters (depth and/or velocity).

The inventory shall include, at least:

  • Demographic data;
  • Buildings classified by model type and occupancy, type of economic activity;
  • Essential facilities;
  • Lifeline utility systems.

The consultant will be entrusted with the following tasks:

  • Carry out a review of the available information to obtain a detailed identification and classification of the elements at risk;
  • Carry out a review of existing data on the elements at risk (quality, accuracy and suitability for the project). Identify gaps regarding mapping of elements at risk and/or their description;
  • Prepare the inventory of the elements at risk, including the description of the attributes selected to perform the vulnerability analysis;
  • Collect all related data and new information that may be required;
  • Prepare the inventory of elements at risk;
  • Produce GIS database describing the inventory of the elements at risk for the cities/municipalities of Trebinje, Bijeljina, Srebrenica, Prijedor and Banja Luka.
  • Example of GIS database will be given to the selected consultant and the produced GIS database must be done in exactly the same way.

The duration of this task is estimated to be 50 working days within 5 months.

#

Deliverables / outputs

Due date

Percentage

1

Completed GIS Inventory of the elements exposed to flood and landslide hazard for the city of Banja Luka.

November 15, 2019

27

2

Completed GIS Inventory of the elements exposed to flood and landslide hazard for the city of Bijeljina

December 15, 2019

25

3

Completed GIS Inventory of the elements exposed to flood and landslide hazard for the city of Prijedor

January 15, 2020

18

4

Completed GIS Inventory of the elements exposed to flood and landslide hazard for the city of Trebinje

February 15, 2020

20

5

Completed GIS Inventory of the elements exposed to flood and landslide hazard for the municipality of Srebrenica

March 15, 2020

10

 

Competencias

Corporate competencies:

  • Demonstrates integrity by modelling the UN’s values and ethical standards;
  • Displays cultural, gender, religion, race, nationality and age sensitivity and adaptability;
  • Plans, prioritizes and delivers tasks on time;
  • Strives for and promotes excellence in performance continually;
  • Participates effectively in a team-based, information-sharing environment, collaborating and cooperating with others;

Functional competencies:

  • Strong interpersonal skills, communication and diplomatic skills, ability to work in a team;
  • Openness to change and ability to receive/integrate feedback;
  • Recognizes and responds appropriately to the ideas, interests, and concerns of others;
  • Builds trust and engenders morale by displaying open, transparent and credible behaviour;
  • Utilizes diversity to foster teamwork;
  • Ensures others’ understanding of, involvement in, and adaptation to a change process;
  • Communicates sensitively and effectively across different constituencies;
  • Ability to identify issues, and analyse and participate in the resolution of issues/problems;
  • Presents information in a clear and articulate manner;
  • Ability to work under pressure;
  • Strong analytical skills.

Habilidades y experiencia requeridas

Academic Qualifications/Education:

  • Bachelor’s degree; Geo-informatics, Spatial planning, GIS, IT or related fields.

Experience:

  • At least 3 years of professional experience in design and management of spatial database management systems, including programming;
  • Relevant experience in using proprietary and open source GIS programs such as ArcGis desktop, ERDAS, Mapinfo, QGIS, GvSig, etc;
  • Experience in implementing Web map services and metadata catalogues applying OGC and Inspire standards is an asset. Working knowledge of GeoNetwork Open source and Geoserver is an asset;

Languages Requirements:

  • Fluency in spoken and written B/H/S language and working knowledge of the English language is a requirement.

Other Requirements:

  • Experience in hazard and risk assessment is an asset;
  • Experience in working with international organizations in the region is an asset;

Only candidates obtaining a minimum of 49 point would be considered for the Financial Evaluation.

Criteria

Weight

Max. Point

Technical

70%

70

  • Rating based on Qualifications

60% of Technical

 

  • Brief methodology on how they will approach and conduct the work

40% of Technical

 

Financial

30%

30

Long/Shortlisting Criteria (Qualifications)

Criteria

Points

Relevant Education

max 15 points (5 points allocated for BA/BSc degree; + 5 points for MSc/MA; + up to 5 points for PhD).

Relevant professional experience

Max 15 points

Prior work experience with UNDP/UN Agencies

max 10 points

Knowledge of English

max 5 points - will be assessed as 5 points for fluency and the points decrease as per the level mentioned in the CV: good - 4 points; fair/upper intermediate – 3 points; intermediate - 2 points; beginner - 1 point.

Regional Experience

max 10 points

Knowledge of ArcGis, ERDAS, Mapinfo, QGIS, GvSig

max 25 points

Experience in preparing data for hazard and risk assessment

max 20 points

EVALUATION

Individual consultants will be evaluated based on the following methodology:

Cumulative analysis

When using this weighted scoring method, the award of the contract should be made to the individual consultant whose offer has been evaluated and determined as:
a) responsive/compliant/acceptable, and
b) Having received the highest score out of a pre-determined set of weighted technical and financial criteria specific to the solicitation.

  • * Technical Criteria weight-70%
  • * Financial Criteria weight- 30%

Applicants are required to submit an application including:

  • Proposal:
    • Provide a brief methodology on how they will approach and conduct the work.
    • Provide Certificates confirming knowledge of ArcGis desktop, ERDAS, Mapinfo, QGIS, GvSig, etc or Sample of previous document containing land-use databese done by the consultant;

  • Personal CV including relevant experience and contact details of at least 3 references;

Please scan all above mentioned documents and upload as one attachment only online through this website.

Note:

  • For an assignment requiring travel, consultants of 65 years or more require full medical examination and statement of fitness to work to engage in the consultancy.
  • Due to large number of potential applicants, only competitively selected candidates will be contacted for remaining steps of the service procurement process.