Wiki source code of 3.14 Walkability
Version 1.1 by Emily West on 2022/01/17 16:18
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| 1 | = 3.14 Walkability = | ||
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| 3 | Project Name: proGIreg | ||
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| 5 | (% class="table-bordered" %) | ||
| 6 | |=(% style="width: 237px;" %)Pillar of Sustainable Development|=(% style="width: 646px;" %)Societal challenge | ||
| 7 | |(% style="width:237px" %)Planet|(% style="width:646px" %)((( | ||
| 8 | 3 - Green Space Management | ||
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| 10 | 6 - Urban Regeneration | ||
| 11 | ))) | ||
| 12 | |||
| 13 | (% class="table-bordered" %) | ||
| 14 | |(% style="width:211px" %)((( | ||
| 15 | ====== **Description** ====== | ||
| 16 | )))|(% style="width:730px" %)((( | ||
| 17 | Spatial map indicating, for each pixel, the degree of walkability on a scale from highly walkable to least walkable | ||
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| 19 | GIS derived raster image, function of connectivity, accessibility and perceived pleasantness with values ranging from 0 to 1 where 1 indicates the most walkable area (e.g., a park with pedestrian lanes well connected to city hot spots like residential and working areas) and 0 indicates the least walkable area (e.g., a major urban road). | ||
| 20 | ))) | ||
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| 22 | ====== **Scale as linked to D2.2 framework** ====== | ||
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| 24 | * City | ||
| 25 | * Neighborhood | ||
| 26 | * Street | ||
| 27 | ))) | ||
| 28 | |(% style="width:211px" %)((( | ||
| 29 | ====== **Data source [ link to data framework]** ====== | ||
| 30 | )))|(% style="width:730px" %)((( | ||
| 31 | * GIS data | ||
| 32 | * remote sensing images | ||
| 33 | ))) | ||
| 34 | |(% style="width:211px" %)((( | ||
| 35 | ====== **Data needs** ====== | ||
| 36 | )))|(% style="width:730px" %)((( | ||
| 37 | * Population density | ||
| 38 | * road networks | ||
| 39 | * land use | ||
| 40 | * public transportation | ||
| 41 | ))) | ||
| 42 | |(% style="width:211px" %)((( | ||
| 43 | ====== **Expected Outputs** ====== | ||
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| 45 | * Normalized index (30-1000 m pixel) | ||
| 46 | ))) | ||
| 47 | |(% style="width:211px" %)((( | ||
| 48 | ====== **Calculation methods** ====== | ||
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| 50 | * Remote sensing and GIS software (e.g., ArcMap, Google Earth Engine, R) Calculated from Spatial data provided by city administrations and population data (e.g., Landscan Global population -https:~/~/landscan.ornl.gov/) | ||
| 51 | ))) | ||
| 52 | |(% style="width:211px" %)((( | ||
| 53 | ====== **Links and references** ====== | ||
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| 55 | * Fan, P., Xu, L., Yue, W., & Chen, J. (2017). Accessibility of public urban green space in an urban periphery: The case of Shanghai. Landscape and Urban Planning, 165, 177-192. | ||
| 56 | ))) | ||
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| 59 | Revisions | ||
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| 61 | (% class="success" %)|(% style="width:68px" %)**Version**|(% style="width:179px" %)**Name**|(% style="width:112px" %)**Date**|(% style="width:636px" %)**Changes made** | ||
| 62 | (% class="active" %)|(% style="width:68px" %)**0.1**|(% style="width:179px" %)Emily (EcoWise)|(% style="width:112px" %)17/01/2022|(% style="width:636px" %)Factsheet created | ||
| 63 | (% class="active" %)|(% style="width:68px" %) |(% style="width:179px" %) |(% style="width:112px" %) |(% style="width:636px" %) | ||
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