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Roosevelt Island Tramway / Cable Car

Roosevelt Island Tramway / Cable Car

A Roblox experience owned by MetroWorks Central.

SimulatorENsimulationNYC landmarkspassenger ride

Description (written by the developer; not a statement by this register)

🚠 Welcome to the Roosevelt Island Tramway / Cable Car game! Join for a unique ride featuring a great view of the river and skyline! Sit back, relax and enjoy the breathtaking views. 📌 All trams are operated automatically. 📍 This game is based on the real life iconic tramway that travels between Roosevelt Island and Manhattan, located in NYC. The line runs two cars in two stations. ⏰ The average wait & ride time is 4 minutes. Loading takes a minute before departure. Thanks for playing, be sure to like and favorite! Tags: tram, tramway, cable car, rides, transportation, transit, skyline, fun, game, passenger, commuter

Last updated by the developer 29 Dec 2024, 00:57 UTC.

0
playing (measured 11 Aug 2026, 03:51 UTC)
331,707
lifetime visits
66%
liked (197 👍 / 102 👎)
1,074
favourites (3.2 per 1k visits)
18 July 2024
created (per Roblox)

Play on Roblox →

Live players over time

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every players count we have recorded
Measured (UTC)PlayersChange
11 Aug 2026, 03:510first reading

Concurrent players at each of our measurements (insert-on-change).

Monetization — game passes

Boombox
100 R$
Donation
65 R$
Small Donation
10 R$

Game passes for sale and their prices, measured from the Roblox passes API. Developer products bought inside the game aren’t publicly listable.

Badge funnel

You've Played! · welcome181,338 · 0.00% win

How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.