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              <p>The b-value, defined as the slope of the cumulative earthquake frequency–magnitude distribution in semi-logarithmic space, quantifies the relative occurrence of small and large earthquakes. It is a key metric for hazard assessment and is often used in adaptive traffic light systems to mitigate induced seismicity. In this study, we analyze a 4-year sequence of induced earthquakes at the Vendenheim geothermal site near Strasbourg (France), where multiple sequential operations were carried out near a regional fault zone, to explore the spatio-temporal variability of the b-value during fault activity. Our analysis highlights the importance of spatial clustering in understanding b-value variability. Despite occurring in close spatial and temporal proximity, seismicity clusters exhibit markedly different b-values. The clusters with the lowest b-values host the largest magnitude events (3</p>
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