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Amazon STR2 — Address & E-Scooter Navigation

Amazon Logistik Heidenheim GmbH · Baden-Württemberg, Germany

Amazon STR2

Amazon Logistik Heidenheim GmbH

Oggenhauser Hauptstraße 151, 89522 Heidenheim an der BrenzBaden-Württemberg, Germany

⚡ Navigate to Amazon STR2 now — free e-scooter route

Where is Amazon STR2?

Amazon STR2 (Amazon Logistik Heidenheim GmbH) is at Oggenhauser Hauptstraße 151, 89522 Heidenheim an der Brenz, in Baden-Württemberg, Germany. ScootNav computes a micro-mobility-legal route on OpenStreetMap that prefers Radwege (cycle paths) and low-speed streets, with live speed, ETA and turn-by-turn voice guidance from wherever you start.

E-Scooter Rules in Germany (eKFV & StVO)

Private e-scooters in Germany are regulated by the eKFV: capped at 20 km/h, must use a cycle path (Radweg) where one exists, and are not allowed on motorways or (in most areas) pavements. ScootNav's routing respects these rules by construction. Full details: E-Scooter Rules in Germany.

Shift-Buffer Guidance

ScootNav's shift planner adds a gate-to-turnstile walking buffer of 10 minutes before your clock-in time for Amazon STR2, so your arrival ETA already accounts for the walk from the gate to the turnstile.

FAQ

What is the address of Amazon STR2?

Amazon Logistik Heidenheim GmbH is located at Oggenhauser Hauptstraße 151, 89522 Heidenheim an der Brenz, in Baden-Württemberg, Germany.

How do I navigate to Amazon STR2 by e-scooter?

Open ScootNav, search "STR2" or "Amazon Logistik Heidenheim GmbH" as your destination, and tap Start. ScootNav computes an eKFV/StVO-compliant route on OpenStreetMap with live speed, ETA and voice guidance.

Is ScootNav free to use?

Yes. ScootNav is free, requires no account, and collects no personal data by default.

How much buffer time should I add before my shift at Amazon STR2?

ScootNav's shift planner adds a 10-minute gate-to-turnstile buffer for Amazon STR2 automatically.

Related resources

Reachability (3 km radius)

Computed from OpenStreetMap data within 3 km. A zero means “not mapped”, not “not present”. Method and dataset.