This note describes the methodology underlying a time-cost raster model to measure cross-country mobility. One direct application of this model is to measure service accessibility through the creation of catchment areas and is highlighted in the case study below. While this model can be adapted for any country, the underlying assumptions and data used are currently tailored for the Afghanistan context. Recent improvements in the local detail and resolution of satellite imagery and in computational methods allow the authors to address limitations in the distance-based measures of access. In the same vein the authors measure access from a location to a destination in units of time rather than linear distance. Second, the authors use detailed data sources to account for the local geographic context at 10m taking advantage of the computational efficiencies gained and the complete spatial coverage of the gridded data structure rather than a vector data structure. Third, the authors suggest a method to construct a topologically correct network of paths and roads, since the road coverage is incomplete.
Details
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Author
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Document Date
2019/01/01
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Document Type
Working Paper
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Report Number
133367
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Volume No
1
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Total Volume(s)
1
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Country
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Region
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Disclosure Date
2019/01/06
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Disclosure Status
Disclosed
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Doc Name
Measuring Mobility in Afghanistan Using Time-Cost Raster Models : Methodology Note
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Keywords
land cover; land cover type; access to health facility; total number of people; land cover data; european space agency; catchment area; cost of traffic; quality of health; participation in health; vector to raster; cost of travel; surface water supply; flood area; water source; data structure; conditional statement; walking distance; surface irrigation; fresh water; satellite imagery; spatial coverage; natural vegetation; health clinic; water layers; health clinics; population number; global travel; industrial area; cost data; rainy season; service access; agglomeration index; roads use; constant value; urban concentration; urban roads; water features; perennial rivers; Health Service; soil surface; flat terrain; service accessibility; open source; spot check; health monitoring; displaced person; rural food; spatial analysis; dry area; walk speed; seasonal variation; environmental condition; cultivated area; fruit tree; missing data; literature review; sloping land; small area; agricultural land; green area; efficiency gain; geographic context; agricultural area; population estimate; alternative mode; short period; vehicle model
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Citation
Kosmidou-Bradley,Walker Turnbull Blankespoor,Brian
Measuring Mobility in Afghanistan Using Time-Cost Raster Models : Methodology Note (English). Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/854001546846115537/Measuring-Mobility-in-Afghanistan-Using-Time-Cost-Raster-Models-Methodology-Note