cdfea06f-d47c-4967-99d4-cc71bddea45d English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:15:51 UK GEMINI 2.3 WGS 84 / Pseudo-Mercator Exposure datasets representing a synthetic future urban context, including socio-demographic, building, and land-use data from 10 cities, for natural hazard risk modelling 2025-08-20 publication https://catalogue.ceh.ac.uk/id/cdfea06f-d47c-4967-99d4-cc71bddea45d 10.5285/cdfea06f-d47c-4967-99d4-cc71bddea45d doi: 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 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 Menteşe, E.Y. Anofa Engineering, Planning and Informatics Ltd. emin.mentese@anofa.co https://orcid.org/0000-0002-7187-4384 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information pointOfContact Menteşe, E.Y. Anofa Engineering, Planning and Informatics Ltd. emin.mentese@anofa.co https://orcid.org/0000-0002-7187-4384 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Özer, E. Anofa Engineering, Planning and Informatics Ltd. Erdem.ozer@anofa.co https://orcid.org/0000-0003-3484-4183 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Rawal, P. National Society for Earthquake Technology prashantrawal@nset.org.np https://orcid.org/0000-0001-7940-8014 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Comelli, T. University College London thaisa.comelli@ucl.ac.uk https://orcid.org/0000-0003-3173-2602 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Cetin, N.İ. Gebze Technical University cetinnipek@gmail.com https://orcid.org/0000-0002-8141-8112 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Dabeek, J. An-Najah National University jamal.dabbeek@najah.edu https://orcid.org/0000-0001-8369-4105 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Kyesii, A. Ardhi University akyessi@gmail.com https://orcid.org/0000-0002-7058-5070 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Chengo, V. Africa Research and Impact Network v.chengo@arin-africa.org https://orcid.org/0000-0001-5116-5874 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Zisan, B. Chittagong University of Engineering & Technology basirzisan@cuet.ac.bd https://orcid.org/0000-0002-6959-0235 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Cubillo, P. Centro de Informacion Urbana de Quito pcubillo@ciuq.ec https://orcid.org/0009-0009-6117-9466 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher University of Edinburgh emin.mentese@anofa.co owner risk exposure exposure hazard GEMET - Concepts, version 4.1.3 2019-01-28 creation Environmental risk Future urban Tomorrow's cities GCRF Urban Disaster Risk Hub otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions 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 textTable vector English utf8 geoscientificInformation economy -82.267 77.696 -13.582 44.214 Comma-separated values (CSV) json geojson qmd NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/cdfea06f-d47c-4967-99d4-cc71bddea45d Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/cdfea06f-d47c-4967-99d4-cc71bddea45d.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 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.