Best parks and nature in Taoyuan District (TW)

Unwind in Taoyuan District Taiwan Nature: Seek solitude or socialize in top outdoor spaces

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated places in nature.

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國2橋下兒童冒險公園 (Park)
No. 218號國際路一段680巷 Taoyuan District Taoyuan City, Taiwan 330
4.4

國2橋下兒童冒險公園 is most popular around 4 PM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

Minzu Park (Park)
No. 305號, Minzu Rd, Taoyuan District Taoyuan City, Taiwan 330
4.0

Minzu Park is most popular around 8 PM on Saturdays. Visitors usually stay 15 min to 2 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Guishan First Riverside Park (Park)
Tongxin 2nd Rd, Guishan District Taoyuan City, Taiwan 333
4.2

Guishan First Riverside Park is most popular around 9 PM on Fridays. Visitors usually stay up to 2 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Wenzhou Park (Park)
No. 65號, Wenzhou St, Taoyuan District Taoyuan City, Taiwan 330
4.3

Wenzhou Park is most popular around 6 PM on Saturdays. Visitors usually stay up to 1 hour here. It's most quiet on Mondays.

Google Maps

Yongkang Park (Park)
No. 77, Yongkang St, Taoyuan District Taoyuan City, Taiwan 330
4.1

Yongkang Park is most popular around 9 AM on Saturdays. Visitors usually stay 15 min to 1 hr here. It's most quiet on Mondays.

Google Maps

Qingxi Park (Park)
Section 2, Sanmin Rd, Taoyuan District Taoyuan City, Taiwan 330
4.0

Qingxi Park is most popular around 6 PM on Fridays. Visitors usually stay up to 2 hours here. It's most quiet on Mondays.

Google Maps

Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Taoyuan District, Taiwan. Filter points of interest (venues) on foot traffic levels, day, time, dwell time, location, ratings, etc. BestTime provides retail foot traffic and foot traffic analytics.