A spatially disaggregated dataset of workplace locations in Warsaw for 2015 and 2025

This article presents a 100 square meters spatially disaggregated dataset of workplace locations in Warsaw for the years 2015 and 2025. The dataset was created by integrating employment data from the Warsaw Traffic Survey (WTS) 2015 with high-resolution geospatial data from the Global Human Settlement Layer (GHSL, R2023), taking into account areas with missing data from OpenStreetMap (OSM). In 2015, WTS reported 804,760 workplaces in 800 transport zones. To enable fine-scale analysis, these values were redistributed to a 100 m GHSL grid using non-residential built-up volume and height as allocation factors. Areas without employment, such as parks, cemeteries, airport runways, the Vistula river, and water areas, were excluded using OSM data. The 2025 dataset by updating the 2015 distribution with changes in non-residential built-up volume between 2015 and 2025, as well as incorporating newly constructed skyscrapers not included in GHSL 2018 height data. The result is two harmonised datasets representing workplace distribution across Warsaw at 100 m resolution. These datasets provide valuable input for studies of urban accessibility, transport equity, and land-use-transport interactions, and the methodological framework can be replicated in other urban contexts.

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Publication Details

Journal
Data in Brief
Published
2025-09-27
DOI
https://doi.org/10.1016/j.dib.2025.112113
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
0.00
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article

A spatially disaggregated dataset of workplace locations in Warsaw for 2015 and 2025

Sławomir Goliszek
Data in Brief
Urban Transport and Accessibility
article

A spatially disaggregated dataset of workplace locations in Warsaw for 2015 and 2025

Sławomir Goliszek
article en

Abstract

This article presents a 100 square meters spatially disaggregated dataset of workplace locations in Warsaw for the years 2015 and 2025. The dataset was created by integrating employment data from the Warsaw Traffic Survey (WTS) 2015 with high-resolution geospatial data from the Global Human Settlement Layer (GHSL, R2023), taking into account areas with missing data from OpenStreetMap (OSM). In 2015, WTS reported 804,760 workplaces in 800 transport zones. To enable fine-scale analysis, these values were redistributed to a 100 m GHSL grid using non-residential built-up volume and height as allocation factors. Areas without employment, such as parks, cemeteries, airport runways, the Vistula river, and water areas, were excluded using OSM data. The 2025 dataset by updating the 2015 distribution with changes in non-residential built-up volume between 2015 and 2025, as well as incorporating newly constructed skyscrapers not included in GHSL 2018 height data. The result is two harmonised datasets representing workplace distribution across Warsaw at 100 m resolution. These datasets provide valuable input for studies of urban accessibility, transport equity, and land-use-transport interactions, and the methodological framework can be replicated in other urban contexts.

Data in BriefVol. 63
Institute of Geography and Spatial Organization, Polish Academy of Sciences (PL)
Openalex Percentile: Top 73%
Urban Transport and Accessibility
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