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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Multi-scale harmonisation Across Physical and Socio-Economic Characteristics of a City region (MAPSECC): London, UK

Authors: Hertwig, Denise; McGrory, Megan; Paskin, Matthew; Liu, Yiqing; Lo Piano, Samuele; Llanwarne, Heidi; Smith, Stefán T.; +1 Authors

Multi-scale harmonisation Across Physical and Socio-Economic Characteristics of a City region (MAPSECC): London, UK

Abstract

A new methodology and comprehensive database (Multi-scale harmonisation Across Physical and Socio-Economic Characteristics of a City region, MAPSECC) is developed that connects physical characteristics of a city (building morphology and materials, land-surface cover) with socio-economic aspects (building function, microenvironments of activity, urban transport infrastructure, residential and workplace populations, human activities), and is demonstrated for London, UK (MAPSECC: London). The database fulfils input requirements for dynamic and multi-scale urban modelling approaches. Dataset components combine and harmonise information from primary sources (often government agencies) through novel downscaling and aggregation methods to give a traceable, repeatable methodology. Further details about the processing and methodology can be found here: Hertwig, D., McGrory, M., Paskin, M., Liu, Y., Piano, S.L., Llanwarne, H., Smith, S.T. and Grimmond, S. (2025), Connecting Physical and Socio-Economic Spaces for Multi-Scale Urban Modelling: A Dataset for London. Geoscience Data Journal 12, e289. https://doi.org/10.1002/gdj3.289 Cite the article above together with the dataset DOI in any publications using MAPSECC: London data. Files in this archive Documentation (including changelog cf. v1.0) MAPSECC_London_documentation_v2p0.pdf MAPSECC_London_documentation_v2p0_tracked_changes.pdf (document changes cf. v1.0 highlighted) Processing grid Main dataset: London_500m_grid.zip Code: London_500m_grid_code.zip Land-cover fractions Main dataset: London_landcover.zip Auxiliary data: London_landcover_auxiliary.zip Code: London_landcover_code.zip Building typologies (with population statistics) Main dataset: London_building_typologies.zip Auxiliary data: London_building_typologies_auxiliary.zip Code: London_building_typologies_code.zip Building material parameters Main dataset: Materials_layer_info.zip, Materials_layer_processed.zip, Materials_parameters.zip Code: Materials_code.zip Human activity profiles Main dataset: UK_TUS2014-15_activity_profiles.zip Auxiliary data: Activity_profiles_auxiliary.zip Code: Activity_profiles_code.zip Transport database Main dataset: London_transport_database.zip Code: London_transport_code.zip Road lengths by type Main dataset: London_roads_by_type.zip Auxiliary data: London_roads_auxiliary.zip Code: London_roads_code.zip Spatial attractors Main dataset: London_attractors.zip Auxiliary data: London_attractors_auxiliary.zip Code: London_attractors_code.zip Disclaimer notice disclaimer_note.txt

Related Organizations
Keywords

urbisphere, urban form, human activity, ASSURE, agent-based modelling, MAPSECC, urban function, London, building energy modelling, CREDS, urban transport, APEx, building typology

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    popularity
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    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average