A large-scale dataset for analysing remote working in urban and rural areas across Europe

This Data Descriptor presents the collected data on remote work among urban and rural workers, emphasizing differences in perceived flexibility, adaptability, preferences, career impacts, well-being, and productivity. The survey, conducted via Prolific between July and August 2024, captured data from 20,013 participants globally with European nationality, offering insights into the benefits and challenges faced by remote workers. Beyond its initial scope, the dataset can be reused to support a wide range of future studies and policy development initiatives. For instance, researchers can utilize this dataset to explore trends in work-life balance, productivity, and urban policy and planning related to remote work. Additionally, urban planners and policymakers can leverage the data to inform strategies for urban and regional development, infrastructure forecasting, planning, and community support in diverse geographic areas. The dataset's granularity on socio-economic factors makes it an invaluable resource for developing targeted policies that address urban-rural disparities and foster sustainable remote working arrangements across Europe.

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Publication Details

Journal
Scientific Data
Published
2025-10-23
DOI
https://doi.org/10.1038/s41597-025-05972-z
Citations
1
Primary Topic
Work-Family Balance Challenges
Type
article
Field-Weighted Citation Impact
4.20

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article

A large-scale dataset for analysing remote working in urban and rural areas across Europe

Katharina Fellnhofer, Shi Tracy Xu, İlker Kayı, Greta Nasi et al.
1 citations
Scientific Data
Work-Family Balance Challenges
4.20
article

A large-scale dataset for analysing remote working in urban and rural areas across Europe

Katharina Fellnhofer, Shi Tracy Xu, İlker Kayı, Greta Nasi, Hakan S. Orer, Theodora Istoriou, Ioannis Tavantzis, Georgia Pozoukidou, Nikolas Thomopoulos, Margarita Angelidou, Özge Karanfil, Vidit Kundu, Sibel Kıran, Μαριλένα Παπαγεωργίου, Giovanni Oscar Serafini, Panagiotis Papanikolaou, Alexandra Prodromidou, Johannes Flacke, Karin Pfeffer, Efstratios Stylianidis, Zoi-Eirini Tsifodimou, Elli Roma-Athanasiadou, Dimitra Plastara, Thomas Mone, Sibel Sakarya, Konstantina Mataftsi, Kelly Pasmatzi, Surucu Huseyin Selçuk, Christos Menelaos Vlemmas, Lisa Fontanella, Mandy Fransz, Eirini Kelmali, Pavlos Kolias
article en
1 citations

Abstract

This Data Descriptor presents the collected data on remote work among urban and rural workers, emphasizing differences in perceived flexibility, adaptability, preferences, career impacts, well-being, and productivity. The survey, conducted via Prolific between July and August 2024, captured data from 20,013 participants globally with European nationality, offering insights into the benefits and challenges faced by remote workers. Beyond its initial scope, the dataset can be reused to support a wide range of future studies and policy development initiatives. For instance, researchers can utilize this dataset to explore trends in work-life balance, productivity, and urban policy and planning related to remote work. Additionally, urban planners and policymakers can leverage the data to inform strategies for urban and regional development, infrastructure forecasting, planning, and community support in diverse geographic areas. The dataset's granularity on socio-economic factors makes it an invaluable resource for developing targeted policies that address urban-rural disparities and foster sustainable remote working arrangements across Europe.

Scientific DataVol. 12(1)
Koç University (TR), Tallinn University (EE), Aristotle University of Thessaloniki (GR), University of Surrey (GB), ETH Zurich (CH), Hellenic Agency for Local Development and Local Government (GR), IIT@MIT (US), Q PLAN International (Greece) (GR), The White House (US), Österreichisches Forschungsinstitut für Chemie und Technik (AT), South East European Research Centre (GR), Bocconi University (IT), University of Twente (NL)
Eidgenössische Technische Hochschule Zürich
Openalex Percentile: Top 5%
Work-Family Balance Challenges
4.20
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