Accessibility: Travel Time-Cost to Major Regional Cities (Tajikistan - ~ 500m)

Accessibility to major cities dataset is modelled as raster-based travel time/cost analysis, computed for the 11 largest cities (>40k habitants) in the country. The following cities are included: City - Population Dushanbe - 831,400 Hissar - 293,900 Khujand - 179,900 Bokhtar - 109,100 Kulob - 104,400 Istaravshan - 63,500 Tursunzade - 53,100 Konibodom - 51,600 Isfara - 49,700 Vahdat - 42,500 Panjakent - 42,300 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: [Dariia Nesterenko](mailto:dariia.nesterenko@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, GHSL - Global Human Settlement Layer. For the city population - Agency on statistics under the President of the Republic of Tajikistan **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 Tajikistan major cities accessibility.

Accessibility to major cities dataset is modeled as raster-based travel time/cost analysis, computed for the largest cities (>50k 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:** 2022-12-06 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Maribel Elias](mailto:maribel.elias@fao.org) **Data lineage:** lineage statement lineage statement Produced using 1. OpenStreetMap data for roads, railways, and rivers; 2. UN Map country border. 3. The HydroSHEDS 15' resolution GRID for the DEM. 4. GHSL - Global Human Settlement Layer. 5. Citypopulation.de **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 for accessibility to major cities (Afghanistan- ~ 500 m)

The regional cities accessibility dataset is modelled as raster-based travel time/cost analysis. Individual cumulative travel time/cost maps were produced for major regional cities (>850k habitants) less than 500 km from the border. The following values were assumed: City - Country Delhi 16,349,831  Ahmedabad 5,633,927  Surat 4,591,246 Kabul 4,434,550 Jaipur 3,046,163 Vadodara 1,752,371  Ludhiana 1,618,879 Meerut 1,571,434 Rajkot 1,390,640 Srinagar 1,264,202 Amritsar 1,183,549  Jodhpur 1,138,300 Chandigarh 1,026,459  Kota 1,001,694 Moradabad 889,810 Aligarh 874,408 Dushanbe 863,400 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 (optimal location). **Data publication:** 2021-10-18 **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 OpenStreetMap data for roads, railways, rivers; UN Map country border; The HydroSHEDS 15' resolution GRID for the DEM, 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 Regional Cities (Pakistan- ~ 500m)

Accessibility to regional cities dataset is modeled as a raster-based travel time/cost analysis, computed for the major regional cities (>47k habitants) less than 200 km from the border. The following cities are included: City - Population Cotonou - 679,012, Porto-Novo - 264,320, Ho - 104,532, Djougou - 94,773, Bohicon - 93,744, Hohoe - 73,641, Tenkodogo - 61,936, Bawku - 61,151, Natitingou - 53,284, Yendi - 51,727, Bolgatanga - 49,162, Lokossa 47,246. 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:** 2022-04-28 **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. UN Map country border. 3. The HydroSHEDS 15' resolution GRID for the DEM. 4. 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 TIF raster file for Accessibility: Travel Time-Cost to Regional Cities (Togo - ~ 500 m)

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 Tamale - 562 919 Niamey - 1 565 056 Korgoho - 286 071 Bamako - 2 285 408 Djougou - 267 812 Sokode - 104 708 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 ESRI; OpenStreetMap data for roads, railways, rivers; UN Map country border; The HydroSHEDS 15` resolution GRID for the DEM, 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 to regional cities (Burkina Faso ~ 500m)

Accessibility to major cities dataset is modeled as raster-based travel time/cost analysis, computed for the largest cities (>500k 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:** 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, 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 to major cities (Bangladesh ~ 500m)