Virtual urban testbed representing a Global South urban setting based on Nairobi, Kenya and Kathmandu, Nepal contexts
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- Date (Publication)
- 2025-04-22
- Identifier
- doi: / 10.5285/8b5834a5-ae8a-4f24-836c-16fab961aeb3
- Other citation details
- McCloskey, J., Menteşe, E.Y., Cremen, G., Gentile, R., Galasso, C., Filippi, M.E., Jenkins, L., Creed, M., Watson, C.S., Sinclair, H., Pelling, M. (2025). Virtual urban testbed representing a Global South urban setting based on Nairobi, Kenya and Kathmandu, Nepal contexts. NERC EDS Environmental Information Data Centre 10.5285/8b5834a5-ae8a-4f24-836c-16fab961aeb3
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- no limitations
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- If you reuse this data, you should cite: McCloskey, J., Menteşe, E.Y., Cremen, G., Gentile, R., Galasso, C., Filippi, M.E., Jenkins, L., Creed, M., Watson, C.S., Sinclair, H., Pelling, M. (2025). Virtual urban testbed representing a Global South urban setting based on Nairobi, Kenya and Kathmandu, Nepal contexts. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/8b5834a5-ae8a-4f24-836c-16fab961aeb3
- Spatial representation type
- vector Vector
- Spatial representation type
- grid Grid
- Spatial representation type
- textTable Text, table
- Metadata language
- EnglishEnglish
- Character set
- utf8 UTF8
- Topic category
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- Society
- Structure
- Unique resource identifier
- WGS 84
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- dataset Dataset
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- dataset
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- Date (Publication)
- 2010-12-08
- Statement
- As an interdisciplinary process, knowledge and perspective of different disciplines helped us shape the characteristics holistically and enabled us to construct a comprehensive understanding of the testbed. By bringing qualitative and quantitative approaches together, it became possible to integrate both social and physical characteristics with the facilitation of urban planning and GIS disciplines. The development of Tomorrowville started in June 2021. Between June and December 2021, there have been around 30 inter-disciplinary online meetings within our research group regarding the development of Tomorrowville. The team consisted of 2 structural engineers, 4 geoscientists, 4 social scientists and a GIS expert with an urban planning background. Local researchers from Kathmandu and Nairobi had structural engineering and urban planning expertise and they provided insight into our approach which enabled us to be more realistic in terms of the spatial context we represent within Tomorrowville. The building footprints are derived from some sample data gathered from Open Street Map database and modified to fit the aims of the dataset. The exposure data is synthetic. All flood simulations are generated using Caesar-Lisflood, a landscape evolution model (LEM) that combines the hydrological and surface flow model, Lisflood-FP (Bates et al. 2010), with the CAESAR landscape evolution model (Coulthard et al. 2013). For landslide analysis digital elevation model from tri-stereo Pleiades satellite imagery is benefited. For debris-flow analysis, rainfall-driven LaharFlow dynamic hazard model is used. The vulnerability data are produced based on consultation with local partners and global vulnerability databases such as Joint Research Center’s “Global flood depth-damage functions: Methodology and the database with guidelines”. The synthetic social data was produced through bespoke algorithms that considered population characteristics and projections relevant for the area. These algorithms are developed to generate a population that would live in future urban scenario within the designed built environment. The algorithms were coded in MATLAB software environment.
- File identifier
- 8b5834a5-ae8a-4f24-836c-16fab961aeb3 XML
- Metadata language
- EnglishEnglish
- Character set
- ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1
- Hierarchy level
- dataset Dataset
- Hierarchy level name
- dataset
- Date stamp
- 2025-04-23T12:38:25
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
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