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Exposure datasets representing a synthetic future urban context, including socio-demographic, building, and land-use data from 10 cities, for natural hazard risk modelling

This dataset includes synthetically produced data from 10 different cities (Istanbul, Nablus, Chattogram, Cox’s Bazaar, Nairobi, Nakuru, Quito, Kokhana, Rapti and Darussalam) for a future urban context. The data includes physical elements in a city such as buildings, roads, and power networks, as well as social elements such as households and individuals. The dataset contains a maximum of 9 different data types, described below. For some cities power and road network data were not considered due to context specific priorities. landuse: The land use plan data depicting how the land will be zoned and used in the next fifty years within the area or interest. The attributes include the land use type, areal coverage in hectares, maximum population density and existing population. building: Data representing the building footprints that will emerge as a result of the future exposure generation procedure. It includes the attributes of the building such as its identifier number, construction type, number of floors, footprint area, occupation type and construction code level. road nodes: Data representing the points where road segments (edges) are connected to each other, including the identifier number for each node. road edges: Data representing the road segments, including the ID numbers of the starting and ending point (node). power nodes: Data representing the points where power lines (edges) are connected to each other, including the identifier number for each node. power edges: Data representing the power segments, including the including the ID numbers of the starting and ending point (node). household: Data that contains social attributes of a household living in a building. The attributes include number of individuals, income level and commonly used facility ID (such as hospital). individual: Data that contains the attributes of the individuals that are a part of a household. The attributes are age, gender, school ID (if relevant), workplace ID (if relevant) and last attained education level. Distribution table: The future projections for each city that identifies the socio-demographic changes and expected physical development in the next 50 years. The data can be used in geospatial platforms. The nomenclature for the data is as follows: “CitynameFutureExposureDataset/Cityname_CommunityCode_DataType”. This dataset was created as case studies for the Tomorrows Cities: Tomorrowville virtual testbed. It is supported by NERC as part of the GCRF Urban Disaster Risk Hub (NE/S009000/1). Full details about this dataset can be found at https://doi.org/10.5285/cdfea06f-d47c-4967-99d4-cc71bddea45d

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Date (Publication)
2025-08-20
Identifier
https://catalogue.ceh.ac.uk/id/cdfea06f-d47c-4967-99d4-cc71bddea45d
Identifier
doi: / 10.5285/cdfea06f-d47c-4967-99d4-cc71bddea45d
Other citation details
Menteşe, E.Y., Özer, E., Rawal, P., Comelli, T., Cetin, N.İ., Dabeek, J., Kyesii, A., Chengo, V., Zisan, B., Cubillo, P. (2025). Exposure datasets representing a synthetic future urban context, including socio-demographic, building, and land-use data from 10 cities, for natural hazard risk modelling. NERC EDS Environmental Information Data Centre 10.5285/cdfea06f-d47c-4967-99d4-cc71bddea45d
Point of contact
  Anofa Engineering, Planning and Informatics Ltd. - Menteşe, E.Y.
https://orcid.org/0000-0002-7187-4384
Author
  Anofa Engineering, Planning and Informatics Ltd. - Menteşe, E.Y.
https://orcid.org/0000-0002-7187-4384
Author
  Anofa Engineering, Planning and Informatics Ltd. - Özer, E.
https://orcid.org/0000-0003-3484-4183
Author
  National Society for Earthquake Technology - Rawal, P.
https://orcid.org/0000-0001-7940-8014
Author
  University College London - Comelli, T.
https://orcid.org/0000-0003-3173-2602
Author
  Gebze Technical University - Cetin, N.İ.
https://orcid.org/0000-0002-8141-8112
Author
  An-Najah National University - Dabeek, J.
https://orcid.org/0000-0001-8369-4105
Author
  Ardhi University - Kyesii, A.
https://orcid.org/0000-0002-7058-5070
Author
  Africa Research and Impact Network - Chengo, V.
https://orcid.org/0000-0001-5116-5874
Author
  Chittagong University of Engineering & Technology - Zisan, B.
https://orcid.org/0000-0002-6959-0235
Author
  Centro de Informacion Urbana de Quito - Cubillo, P.
https://orcid.org/0009-0009-6117-9466
Custodian
  NERC EDS Environmental Information Data Centre
Publisher
  NERC EDS Environmental Information Data Centre
Owner
  University of Edinburgh
Access constraints
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otherRestrictions Other restrictions
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This resource is available under the terms of the Open Government Licence
Use constraints
otherRestrictions Other restrictions
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If you reuse this data, you should cite: Menteşe, E.Y., Özer, E., Rawal, P., Comelli, T., Cetin, N.İ., Dabeek, J., Kyesii, A., Chengo, V., Zisan, B., Cubillo, P. (2025). Exposure datasets representing a synthetic future urban context, including socio-demographic, building, and land-use data from 10 cities, for natural hazard risk modelling. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/cdfea06f-d47c-4967-99d4-cc71bddea45d
Spatial representation type
textTable Text, table
Spatial representation type
vector Vector
Metadata language
EnglishEnglish
Character set
utf8 UTF8
Topic category
  • Geoscientific information
  • Economy
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Unique resource identifier
WGS 84 / Pseudo-Mercator
Distribution format
  • Comma-separated values (CSV) ()

  • json ()

  • geojson ()

  • qmd ()

Distributor
  NERC EDS Environmental Information Data Centre
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Conformance result

Date (Publication)
2010-12-08
Statement
For generating the future exposure dataset for each city, a specific computational algorithm that takes into account the land use plan and user defined future projections is used. The algorithm is explained in detail by Mentese et al., 2023. The production of the land use plan relies on a community based process, that includes different community groups’ involvement and participatory engagement. In these engagements, in each city, specific groups are identified with the guidance of local experts as part of the Tomorrow’s Cities Project. After the identification, experts from Tomorrow’s Cities Project, local experts and community representatives from the community groups gather for participatory spatial planning for their future urban contexts. Then, the produced land use plan is integrated (using the software algorithm) with the future socio-demographic projections and expected physical development defined by the local experts and existing literature on the context. As a result of this procedures, building data, socio-demographic datasets and network related data (where relevant) is produced.
File identifier
cdfea06f-d47c-4967-99d4-cc71bddea45d 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
2025-08-22T15:15:28
Metadata standard name
UK GEMINI
Metadata standard version
2.3
Point of contact
  NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg , Lancaster , LA1 4AP , UK
https://eidc.ac.uk/
 
 

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