Apps Like Bicycle and bike parking spot information sharing MAP for iPhone and iPad
Bicycle and bike parking spot information sharing MAP screenshots
Ranked alternatives
Showing 61–80 of 1,000 ranked alternatives.

ParkWhiz - #1 Parking App
ParkWhiz, Inc.
Find parking, compare prices, book.
The app provides parking options in major cities, allowing users to compare prices and book in advance. Users receive paperless passes for convenient parking and can save up to 50% off drive-up rates.

TOTAGO: Maps, Parks & Trails
OPENPLANIT LLC
Explore , bike routes, and hiking paths
Find hiking , bike routes, and nature spots in major cities. Get turn-by-turn directions by foot, bike, car, or public transit. Download maps and guide content for offline use.

AMB Mobilitat (Picmi)
AMB INFORMACIO I SERVEIS SA
Navigate transport options in Barcelona
Find nearby stops and plan routes using real-time transport data. Check bus, metro, Rodalies, FGC, TRAM, bicycle, and taxi schedules. View service availability and track vehicle locations. Receive alerts for delays and disruptions.



Toronto Bikes — A One-Tap Toronto Bike Share App
Urban Apps
Find stations, check availability, navigate to them
Locate nearby docking stations with distance and direction. View available and docks. Use full-map mode to check docks at destinations. Set a ride timer to track rentals and avoid late fees.




ViaMichelin GPS, Route Planner
ViaMichelin
Plan routes and find points of interest.
The app calculates routes for various vehicles and includes Michelin selections for points of interest. It offers GPS navigation with traffic information and trip cost calculation based on vehicle type and fuel prices.





MPLS Parking
City of Minneapolis
Pay for , extend time, get alerts
Pay for using a mobile device or web browser. Receive alerts before time expires and extend without visiting a meter. Locate your car on a map. Use Face ID for secure access. Find event-specific options. Get notifications about snow emergencies.


How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.