Data supporting the paper: "An evaluation of different provision strategies for scaled-up container-based sanitation"
dc.contributor.author | Ferguson, Charlie | |
dc.date.accessioned | 2024-06-04T04:30:38Z | |
dc.date.available | 2024-06-04T04:30:38Z | |
dc.date.issued | 2021-09-22 11:58 | |
dc.description.abstract | This dataset underpins the paper entitled: "An evaluation of different provision strategies for scaled-up container-based sanitation". It contains:(1) Five python scripts. The first two deal with the geo pre-processing of data and construction of the distance matrix for each network. The third contains the script used for CBS provision Strategy A. The fourth contains the script used for CBS provision Strategy B. The fifth contains the script used for CBS provision Strategy C. (2) Spatial data (all in local UTM co-ordinate reference systems) for: the identified buildings in each of the four neighbourhoods, the CBS collection depots used for CBS provision Strategy A and the CBS transfer stations used for CBS provision Strategy C.(3) An excel file containing the primary results of the paper (averaged driving and walking distances). | |
dc.description.sponsorship | ES/T007877/1 | |
dc.identifier.citation | Ferguson, Charlie (2021). Data supporting the paper: "An evaluation of different provision strategies for scaled-up container-based sanitation". Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.14495961 | |
dc.identifier.doi | 10.17862/cranfield.rd.14495961 | |
dc.identifier.uri | https://dspace.lib.cranfield.ac.uk/handle/1826/21919 | |
dc.publisher | Cranfield University | |
dc.relation.isreferencedby | https://doi.org/10.2166/h2oj.2021.112' | |
dc.rights | CC BY 4.0 | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | sanitation access' | |
dc.subject | 'Faecal sludge management' | |
dc.subject | 'network analysis' | |
dc.subject | 'Urban Analysis and Development' | |
dc.title | Data supporting the paper: "An evaluation of different provision strategies for scaled-up container-based sanitation" | |
dc.type | Dataset |
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