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

IF 1.4 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-09-27 DOI:10.1016/j.dib.2025.112113

Sławomir Goliszek

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引用次数: 0

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.

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华沙2015年和2025年工作地点的空间分类数据集

这篇文章展示了华沙2015年和2025年100平方米的工作场所空间分类数据集。该数据集是通过整合华沙交通调查（WTS） 2015年的就业数据和全球人类住区层（GHSL, R2023）的高分辨率地理空间数据而创建的，同时考虑了OpenStreetMap （OSM）中缺失数据的区域。2015年，WTS报告了800个运输区804760个工作场所。为了进行精细分析，这些值被重新分配到一个100米的GHSL网格中，使用非住宅建筑体量和高度作为分配因素。没有就业的区域，如公园、墓地、机场跑道、维斯瓦河和水域，被排除在OSM数据之外。2025数据集通过更新2015年的分布，包括2015年至2025年间非住宅建筑体量的变化，以及纳入GHSL 2018高度数据中未包含的新建摩天大楼。结果是两个统一的数据集，代表华沙100米分辨率的工作场所分布。这些数据集为城市可达性、交通公平和土地利用-交通相互作用的研究提供了宝贵的投入，而且方法框架可以在其他城市背景下复制。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.