Examining location factors of coworking spaces in peripheral areas

An empirical study of rural coworking in Germany

Journal Article (2025)
Author(s)

T.R. Vogl (Bauhaus University Weimar, TU Delft - Real Estate Management)

Grzegorz Micek (Jagiellonian University)

Research Group
Real Estate Management
DOI related publication
https://doi.org/10.1108/F-09-2024-0125
More Info
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Publication Year
2025
Language
English
Research Group
Real Estate Management
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
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Abstract

Purpose
The coworking spatial model has evolved from predominantly metropolitan settings to include more nuanced, fewer core sites in recent years. CSs have emerged in peripheral areas that enjoy privileges in terms of housing and office markets. However, there is still limited insight into the location factors driving the popularity of CSs in peripheral areas. Hence, the study aims to investigate location determinants of coworking spaces in peripheral areas with emphasis on the significance of living conditions, real market characteristics and tourism development.

Design/methodology/approach
In this paper, an urban hierarchy perspective is applied to statistically test the potential demographic, economic, infrastructural, tourism-related and real estate market factors influencing the presence of coworking spaces (CSs).

Findings
The results reveal that areas with CSs demonstrate higher housing prices, a higher influx of tourists and lower living area per inhabitant. The authors argue that CSs are attracted by a vibrant tourism sector and housing market and vice versa. Moreover, it is argued that the location factors for rural CSs partly differ from urban CSs.

Originality/value
The research has practical implications for the location decisions of corporates and operators and enhances theoretical understanding of CSs in non-urban areas and their location patterns.

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