A dedicated app for checking public transport bike availability in your area using GPS. Get real-time availability, opening hours, and plan your trips accordingly.
Quick Verdict
Best for: Daily OV-fiets users who want quick bike availability checks
What It Means For You
User location is used to display nearby OV-fiets station availability via Google Maps. The app collects no personal account data and shares nothing with advertising or marketing services. Map interactions go to Google Play Services, which is standard for any app showing a map.
Quick Verdict
Best for: Daily OV-fiets users who want quick bike availability checks
What It Means For You
User location is used to display nearby OV-fiets station availability via Google Maps. The app collects no personal account data and shares nothing with advertising or marketing services. Map interactions go to Google Play Services, which is standard for any app showing a map.
Method and Limitations
Static analysis only. CITT reviewed the code of this build without running the app, so runtime behavior was not observed. The findings below describe the analyzed build and may not reflect server-side controls or later versions. CITT makes no determination about compliance with any law or platform policy; it reports what the artifacts contain and cites the published guidance so a reader can compare.
Data Security
1 totalThird-Party Risk
1 totalVersion diff is on the Developer plan. See developer plans.
Context Tags
Package
nl.ovfietsbeschikbaarheid
Version
3.7.0 (versionCode: 28)
Analysis Date
Mar 10, 2026
Classes Analyzed
4,417
Feedback helps us improve our analysis
Data Security - 1 finding (1 low)
Network Security - 0 findings
Code Safety - 0 findings
Privacy - 0 findings
Device location is used solely to show nearby OV-fiets station availability on the map. No account details, names, or usage history are stored by the app.
Google Play Services receives location data to render the map. No data is shared with advertising, marketing, or analytics services.
This scorecard is based on static analysis of the app's code and configuration. Results reflect practices observed as of the scan date.
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