View: |
Part 1: Document Description
|
Citation |
|
---|---|
Title: |
Travel Time to Markets in Africa South of the Sahara |
Identification Number: |
doi:10.7910/DVN/YKDWJD |
Distributor: |
Harvard Dataverse |
Date of Distribution: |
2016-01-29 |
Version: |
2 |
Bibliographic Citation: |
HarvestChoice; International Food Policy Research Institute (IFPRI), 2018, "Travel Time to Markets in Africa South of the Sahara", https://doi.org/10.7910/DVN/YKDWJD, Harvard Dataverse, V2 |
Citation |
|
Title: |
Travel Time to Markets in Africa South of the Sahara |
Identification Number: |
doi:10.7910/DVN/YKDWJD |
Authoring Entity: |
HarvestChoice |
International Food Policy Research Institute (IFPRI) |
|
Distributor: |
Harvard Dataverse |
Access Authority: |
Guo, Zhe |
Access Authority: |
Koo, Jawoo |
Depositor: |
Koo, Jawoo |
Date of Deposit: |
2016-01-29 |
Holdings Information: |
https://doi.org/10.7910/DVN/YKDWJD |
Study Scope |
|
Keywords: |
Agricultural Sciences, Computer and Information Science, Earth and Environmental Sciences, Social Sciences, market access |
Abstract: |
Reliable market accessibility data is critical to develop agricultural policies and investment plans for ensuring smallholder farmers’ market participation and their profitable farming, yet this data is less frequently updated. Most of publicly available data benchmarks around the year 2000, not reflecting rapid development of transportation infrastructure in Africa South of the Sahara (SSA) in last decade. For this, using a newly available accessibility model input datasets, such as new land cover data from satellites, crowdsourced road network data, and updated population of major human settlements across SSA, HarvestChoice Project updated the existing market accessibility data and provides new market accessibility data layers benchmarking around the year 2010. The dataset includes five data layers representing travel time to the nearest market of five sizes (population of 20K, 50K, 100K, 250K, and 500K), respectively, on 5 arc-minute grids across SSA. |
Notes: |
This work was undertaken as part of the CGIAR Research Program on Policies, Institutions, and Markets (PIM) led by the International Food Policy Research Institute (IFPRI). Funding support was provided by Bill & Melinda Gates Foundation and PIM. |
Methodology and Processing |
|
Sources Statement |
|
Data Access |
|
Notes: |
<h1> IFPRI DATAVERSE TERMS OF USE </h1> By using this website and any of the materials made available through it, you agree to abide by the Terms of Use of IFPRI Dataverse. The datasets and documents in this study are licensed under <a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>. |
Other Study Description Materials |
|
Label: |
traveltimetomarket_ssa_020k.png |
Text: |
Travel time to the market of 20K population in SSA |
Notes: |
image/png |
Label: |
traveltimetomarket_ssa_050k.png |
Text: |
Travel time to the market of 50K population in SSA |
Notes: |
image/png |
Label: |
traveltimetomarket_ssa_100k.png |
Text: |
Travel time to the market of 100K population in SSA |
Notes: |
image/png |
Label: |
traveltimetomarket_ssa_250k.png |
Text: |
Travel time to the market of 250K population in SSA |
Notes: |
image/png |
Label: |
traveltimetomarket_ssa_500k.png |
Text: |
Travel time to the market of 500K population in SSA |
Notes: |
image/png |
Label: |
TravelTimeToMarket_SSA_DBF.zip |
Text: |
All market accessibility data in DBF table format |
Notes: |
application/zip |
Label: |
TravelTimeToMarket_SSA_GeoTiff.zip |
Text: |
All market accessibility data in five GeoTIFF raster format at 5 arc-minute resolution |
Notes: |
application/zip |
Label: |
Zhe Guo 2016 - Travel Time to Markets in SSA.docx |
Text: |
Technical note on the data generation process |
Notes: |
application/vnd.openxmlformats-officedocument.wordprocessingml.document |