Best parks and nature in Kawasaki (JP)

Unwind in Kawasaki Japan 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
Grand Mall Park (Park)
3 Chome Minatomirai Nishi Ward, Yokohama, Kanagawa 220-0012 Japan
3.9

Grand Mall Park is most popular around 11 PM on Fridays. Visitors usually stay up to 1,5 hours here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Honmonji Park (Park)
1 Chome-11-1 Ikegami Ota City, Tokyo 146-0082 Japan
4.0

Honmonji Park is most popular around 10 AM 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.

Tanmachi Park (Park)
1 Chome-12 Tanmachi Kanagawa Ward, Yokohama, Kanagawa 221-0825 Japan
3.6

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

For more info visit the website or checkout Google Maps.

Chidori Park (Park)
9-1 Chidoricho Kawasaki Ward, Kawasaki, Kanagawa 210-0865 Japan
3.4

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

For more info visit the website or checkout Google Maps.

Portside Park (Park)
1-4 Onocho Kanagawa Ward, Yokohama, Kanagawa 221-0055 Japan
3.9

Visitors usually stay up to 1 hour here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Higashikojiya Disaster Park (Park)
4 Chome-5-1 Higashikojiya Ota City, Tokyo 144-0033 Japan
3.7

Visitors usually stay up to 1 hour here. It's most quiet on Sundays.

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 Kawasaki, Japan. 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.