Fun things to do Taipei on Monday morning (TW)

Popular days & hours to visit attractions in Taipei Taiwan on Monday morning.

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated sightseeing spots.

Taipei 101 Observatory (Tourist destination)
89樓 No. 7號, Section 5, Xinyi Rd, Xinyi District Taipei City, Taiwan 110
4.5

Taipei 101 Observatory is most popular around 4 PM on Saturdays. Visitors usually stay up to 2 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Nangang Park (Park)
No. 170-1號, Dong Xin St, Nangang District
4.5

Nangang Park is most popular around 4 PM on Sundays. Visitors usually stay up to 2 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Zhongshan Park (Park)
No. 505, Section 4, Ren'ai Rd, Xinyi District
4.3

Zhongshan Park is most popular around 7 AM on Fridays. Visitors usually stay up to 1,5 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Bihu Park (Park)
No. 175號, Section 2, Neihu Rd, Neihu District
4.4

Bihu Park is most popular around 5 PM on Sundays. Visitors usually stay up to 2 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Xiangshan Park (Park)
Lane 150, Section 5, Xinyi Rd, Xinyi District
4.5

Xiangshan Park is most popular around 4 PM on Saturdays. Visitors usually stay up to 1,5 hours here. It's most quiet on Mondays.

Google Maps

Dagouxi Waterfront Park (Park)
Neihu District
4.4

Dagouxi Waterfront Park is most popular around 10 AM on Sundays. Visitors usually stay up to 1,5 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Taipei, 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.