4.3 Article

On Serendipitous Campus Meetings: A User Survey

Publisher

MDPI
DOI: 10.3390/ijerph192114504

Keywords

campus design; spaces; services; serendipity; unplanned meetings; interactions

Ask authors/readers for more resources

The survey on three Dutch campuses identified characteristics of successful meeting places for academic staff and companies, with principal component analysis revealing PC factors for services and locations. Personal characteristics had minimal effects, indicating that campus design can be effective for all users.
With campuses opening up and stimulating interactions among different campus users more and more, we aim to identify the characteristics of successful meeting places (locations) on campus. These can help practitioners such as campus managers and directors to further optimize their campus to facilitate unplanned or serendipitous meetings between academic staff and companies. A survey on three Dutch campuses, including questions on both services and locations, was analyzed both spatially and statistically using principal component (PC) and regression analysis. Four PCs were found for services (Relax, Network, Proximity and Availability) and three PCs were found for locations (Aesthetics, Cleaned and Indoor Environment). Personal characteristics as explanatory variables were not significant or only had very small effect sizes, indicating that a campus' design does not need to be tailored to certain user groups but can be effective for all. The pattern of successful locations is discussed, including the variables in each PC. These PCs provide a framework for practitioners who want to improve their campus' design to further facilitate unplanned meetings, thus contributing to cooperation between campus users, hopefully leading to further innovation.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available