Analysing user preferences for co-working space characteristics

Minou Weijs-Perrée (Corresponding author), Jasper van de Koevering, Rianne Appel-Meulenbroek, Theo Arentze

Research output: Contribution to journalArticleAcademicpeer-review

50 Citations (Scopus)
1790 Downloads (Pure)


Over the past decades, the use of mobile technology has increased and the attitude towards work has changed, making it possible to work anywhere at any time. However, workers still seek work environments that stimulate networking and collaboration possibilities. This has led to the growing popularity of co-working spaces. However, little is known about the specific preferences of co-working space users. The aim of this research is to analyse user preferences for co-working space characteristics. Stated choice data were collected by means of a questionnaire which was completed by 219 respondents of 25 co-working spaces in the Netherlands. A mixed-multinomial logit model was used to analyse the user preferences. Results show that the main motivations for co-workers to work in a co-working space were that they were looking for a workplace outside their home that allows them to work in an inspiring work environment where the accommodation is affordable. Accessibility and atmosphere/interior are the most important characteristics when choosing a specific co-working space. These results provide owners or managers of co-working spaces with clear insights about how to cope with co-worker preferences by offering co-working spaces with good accessibility by car and public transport, a semi-open layout and a homelike interior.

Original languageEnglish
Pages (from-to)534-548
Number of pages15
JournalBuilding Research & Information
Issue number5
Publication statusPublished - 4 Jul 2019


  • co-working
  • mixed-logit model
  • multi-tenant offices
  • offices
  • stated-choice method
  • user preferences
  • workplace design


Dive into the research topics of 'Analysing user preferences for co-working space characteristics'. Together they form a unique fingerprint.

Cite this