Identifying the diverse and often competing values of citizens, and resolving
the consequent public value conflicts, are of significant importance for
inclusive and integrated urban development. Scholars have highlighted that
relational, value-laden urban space gives rise to many diverse conflicts that
vary both spatially and temporally. Although notions of public value conflicts
have been conceived in theory, there are very few empirical studies that
identify such values and their conflicts in urban space. Building on public
value theory and using a case-study mixed-methods approach, this paper proposes
a new approach to empirically investigate public value conflicts in urban
space. Using unstructured participatory data of 4,528 citizen contributions
from a Public Participation Geographic Information Systems in Hamburg, Germany,
natural language processing and spatial clustering techniques are used to
identify areas of potential value conflicts. Four expert workshops assess and
interpret these quantitative findings. Integrating both quantitative and
qualitative results, 19 general public values and a total of 9 archetypical
conflicts are identified. On the basis of these results, this paper proposes a
new conceptual tool of Public Value Spheres that extends the theoretical notion
of public-value conflicts and helps to further account for the value-laden
nature of urban space