Accessibility: Travel Time-Cost to Major Cities (Tanzania - ~ 1Km)

Major cities demand dataset is modelled as raster-based travel time/cost analysis and weighted using the population/market size dimension as a measure of demand. Individual cumulative travel time/cost maps were produced for the country’s 10 largest cities (>200k habitants). The final market/demand layer consists of an arithmetic weighted sum of normalized (0-100) city accessibility grids. The following values were assumed for major cities population of Tanzania: City - Population - Weight % Dar es Salaam - 4,364,541 - 0.579 Mwanza - 706,453 - 0.094 Zanzibar - 501,459 - 0.067 Arusha - 416,442 - 0.055 Mbeya - 385,279 - 0.051 Morogoro - 305,840 - 0.041 Tanga - 221,127 - 0.029 Kigoma - 215,458 - 0.029 Dodoma - 213,636 - 0.028 Songea - 203,309 - 0.027 This 1km resolution raster dataset is part of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis (GIS-MCDA) aimed at the identification of value chain infrastructure sites (optimal location). **Data publication:** 2021-11-01 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Nelson Ribeiro](mailto:Nelson.RosasRibeiroFilho@fao.org) **Data lineage:** lineage statement Produced using OpenStreetMap data for road, railways, cities; GAUL country border; FAO Inland Waters in Africa; FAO Major Rivers in Africa; Population major cities **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Zipped raster TIF file for Tanzania major cities demand.

Accessibility to ports dataset is modelled as raster-based travel time/cost analysis, normalized from 0 to 100, where 0 corresponds to the lowest accessibility. The model travel time/cost from/to ports is defined for major maritime ports only, although major lake ports as those in Lake Victoria can have some relevance considering the export markets in neighboring countries that can be reached through them. This 1km resolution raster dataset is part of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis (GIS-MCDA) aimed at the identification of value chain infrastructure sites (optimal location). **Data publication:** 2021-11-01 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Nelson Ribeiro](mailto:Nelson.RosasRibeiroFilho@fao.org) **Data lineage:** lineage statement Produced using OpenStreetMap data for road, railways, cities; GAUL country border; FAO Inland Waters in Africa; FAO Major Rivers in Africa; Population major cities **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Zipped Tiff raster file of accessibility to major maritime ports (Tanzania - ~ 1Km)

regional cities demand dataset is modelled as raster-based travel time/cost analysis and weighted using the population/market size dimension as a measure of demand. Individual cumulative travel time/cost maps were produced for major regional cities (>250k habitants) less than 500 km from the border. The final market/demand layer consists of an arithmetic weighted sum of the normalized (0-100) city accessibility grids. The following values were assumed: City - Country - Population - Weight % Nairobi - KEN - 4,397,073 - 0.277 Kampala - UGA - 2,094,000 - 0.132 Mombasa - KEN - 1,208,333 - 0.076 Lilongwe - MWI - 1,055,700 - 0.067 Kigali - RWA - 859,332 - 0.054 Blantyre - MWI - 830,100 - 0.052 Nampula - MOZ - 663,212 - 0.042 This 1km resolution raster dataset is part of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis (GIS-MCDA) aimed at the identification of value chain infrastructure sites (optimal location). **Data publication:** 2021-11-01 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Nelson Ribeiro](mailto:Nelson.RosasRibeiroFilho@fao.org) **Data lineage:** lineage statement Produced using OpenStreetMap data for road, railways, cities; GAUL country border; FAO Inland Waters in Africa; FAO Major Rivers in Africa; Population major cities **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Zipped raster TIF file for Tanzania regional cities demand

Accessibility to major cities dataset is modeled as raster-based travel time/cost analysis, computed for the largest cities (>20k habitants) in the country. This 500m resolution raster dataset is part of FAO's Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis (GIS-MCDA) aimed at the identification of value chain infrastructure sites (or optimal location). **Data publication:** 2022-11-28 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Dariia Nesterenko](mailto:dariia.nesterenko@fao.org) **Data lineage:** lineage statement Produced using 1. OpenStreetMap data for roads, railways, and rivers. 2. The HydroSHEDS 15' resolution GRID for the DEM. 3. GHSL - Global Human Settlement Layer. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Zipped raster TIF file for Accessibility: Travel Time-Cost to Major Cities

Accessibility to regional cities dataset is modelled as raster-based travel time/cost analysis, computed for the largest cities surrounding the country. The following cities are included: City - Population Bukavu - 1 012 053 Mwanza - 830 342 Dodoma - 570 629 Goma - 1 101 306 Bujumbura - 1 192 554 Kampala - 4 101 302 Mombasa - 1 535 899 Dar es Salaam - 5 572 776 Nairobi - 7 626 752 This 500m resolution raster dataset is part of FAO's Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis (GIS-MCDA) aimed at the identification of value chain infrastructure sites (or optimal location). **Data publication:** 2021-10-18 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Justeen De Ocampo](mailto:justeen.deocampo@fao.org) **Data lineage:** lineage statement Produced using OpenStreetMap data for roads, railways, rivers; UN Map country border; The HydroSHEDS 15' resolution GRID for the DEM, PopulationData.net. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Zipped raster TIF file for accessibility to regional cities (Rwanda ~ 500m)

The dataset represents an estimated cumulative travel time/cost (raster grid) accessibility map, for Kenya's regional major cities . The map is an output of the sub-Saharan African Corridor, Mobile Warehouse Location pilot project version 2. Modeled cities are: Tanzania: Dar es Salam (5,572,776); Mwanza (830,342); Zanzibar (796,903); Dodoma (571,629); Arusha (466,892); Somalia: Mogadiscio (2,275,976); Merka (480,543); Kismaayo (402,691); Ethiopia: Addis-Abeba (4,567,857); Diré Dawa (453,000); South Sudan: Djouba (917,910); Wau (328,651); Uganda: Kampala (4,101,302); Jinja (589,661); The calculation of cost/time distance surfaces is based on some assumptions: A. Road travel time/cost is computed for large trucks, it is assumed accessibility for large cargo freight vehicles, tertiary and local traffic roads are not included; B. Lake and river navigation are treated as a surface (polygons) not taking into consideration navigation infrastructure (points). Regional travel time surfaces production steps are: rasterization of transportation network and surfaces and definition of cell travel time; creation of countries time/cost layers; combining countries into a regional cost layer; computation of a cumulative cost/time accessibility layer from cities (Regional Major Cities Accessibility Map). **Data publication:** 2020-08-04 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Nelson Ribeiro](mailto:Nelson.RosasRibeiroFilho@fao.org) **Data lineage:** lineage statement Produced using OpenStreetMap data for road, railways, cities; GAUL country border; FAO Inland Waters in Africa; FAO Major Rivers in Africa; **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:**