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.

Map
Hutoushan Park (Park)
No. 42, Gongyuan Rd, Taoyuan District
4.4

Hutoushan Park is most popular around 11 AM on Sundays. Visitors usually stay up to 1,5 hours here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

Fenghe Park (Park)
No. 688, Ciwen Rd, Taoyuan District
4.4

Fenghe Park is most popular around 4 PM on Sundays. Visitors usually stay up to 1,5 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Hutoushan Environmental Park (Park)
Section 3, Chenggong Rd, Taoyuan District
4.4

Hutoushan Environmental Park is most popular around 4 PM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Sanmin Sports Park (Park)
No. 131號, Section 1, Sanmin Rd, Taoyuan District
4.3

Sanmin Sports Park is most popular around 3 PM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Mondays.

Google Maps

Yangming Sports Park (Park)
330, Taiwan, Taoyuan City, Taoyuan District, Zhangsha St 十一號
4.3

Yangming Sports Park is most popular around 4 PM on Sundays. Visitors usually stay up to 1,5 hours here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

玉山公園-空氣品質淨化區 (Park)
330, Taiwan, Taoyuan City, Taoyuan District, Nanfeng 2nd St
4.3

玉山公園-空氣品質淨化區 is most popular around 4 PM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Wednesdays.

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.