This dashboard is designed for officials and urban planners within the Municipality of Amsterdam to demonstrate the potential of cycling-behaviour-informed policy planning.
It combines self-collected cycling sensor data (speed and braking behaviour) with third-party infrastructure data (road quality and traffic lights).
The dataset is so far based on 112 recorded cycling trips and should be interpreted as exploratory and illustrative.
The map visualises Amsterdam's cycling network using selectable data layers. Each layer has its own scale, legend, and policy interpretation.
White circles indicate locations where no corresponding sensor data is available for the selected filter.
Displays average cycling speed across recorded trips, supporting the identification of slow or fast corridors.
Based on third-party infrastructure data, categorised from "Perfect" to "No road", supporting infrastructure assessment and maintenance planning.
Analyses cyclist behaviour within a 25-metre radius around traffic lights.
Aggregates speed and road quality into averaged scores per road segment, supporting corridor-level analysis.
Combines infrastructure condition and cycling performance into a single indicator for comparative assessment.
Filters can be activated individually or in combination. Each combination reflects a deliberate analytical perspective chosen by the user.
The dashboard does not prescribe a single interpretation, but supports exploratory, policy-driven analysis.
Behavioural indicators should be understood as signals rather than definitive diagnoses. Results should be interpreted alongside contextual knowledge of street design, traffic conditions, and policy objectives.