Old Bell Road is a 0.8 km 4WD trail in Tauranga City, Bay of Plenty, New Zealand.
Old Bell Road offers 4WD enthusiasts a compact exploration opportunity just minutes from Tauranga City, making it an ideal quick adventure for those looking to test their vehicles without committing to a lengthy expedition. This short 0.8 km route provides an accessible introduction to off-road driving in the Bay of Plenty region, perfect for weekend warriors or those new to 4WDing who want to experience genuine terrain without the intimidation factor.
You'll navigate through varied landscape that showcases the local environment's character, with gentle grades that allow you to focus on vehicle control and terrain awareness. The drive is manageable enough that you can concentrate on observing how your vehicle handles different surfaces while enjoying the surrounding scenery. However, you should still prepare adequately—check your vehicle's condition beforehand, ensure your tyres have appropriate tread, and carry basic recovery equipment, as remote areas can present unexpected challenges even on shorter routes.
The proximity to Tauranga makes this trail particularly valuable for local 4WD clubs and enthusiasts who want a convenient proving ground. While the trail is unrated and hasn't yet accumulated detailed feedback from Newtracs users, this presents an opportunity for experienced drivers to document their experience and help build the community knowledge base. Whether you're scouting the area, training new drivers, or simply seeking a quick off-road outing, Old Bell Road deserves consideration in your Bay of Plenty adventure plans.
Explore Old Bell Road in the app
Offline maps, live conditions & more
0.8 km
Distance
--
Avg Time
--
Avg Speed
--
Steep Grade
See how many vehicles have driven this trail
Already have an account?
See who's driving this trail and when
Already have an account?
13°C
Patchy rain nearby
4 km/h S
91%
13°C
0
7-Day Forecast
Patchy rain nearby
Sunny
Sunny
Sunny
Sunny
Sunny
Sunny
Get offline topo maps, live conditions, and data-driven difficulty ratings.