Fun things to do in Ōbu (JP)
Best and most fun things to do in Ōbu : Follow the crowd or avoid the queues by visiting the most popular attractions during the quiet hours as indicated below.
Adjust the filters to find for example your desired busy,
quiet,
expensive, or
highly rated things to do.
(Park)
9 Chome-300 Moriokacho Obu, Aichi 474-0038 JapanAichi Health Village Park is most popular around 1 PM on Sundays. Visitors usually stay up to 4 hours here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
(Shopping center)
56番地1 2 Chome Minamisakuramachi Kariya, Aichi 448-0841 JapanAPiTA Kariya is most popular around 3 PM on Saturdays. Visitors usually stay 20 min to 1 hr here. It's most quiet on Thursdays.
For more info visit the website or checkout Google Maps.
(Shopping center)
1 Chome-98 Hiiragiyamacho Obu, Aichi 474-0053 JapanResora Obu Shopping Terrace is most popular around 2 PM on Sundays. Visitors usually stay 20 min to 1,5 hr here. It's most quiet on Thursdays.
For more info visit the website or checkout Google Maps.
(Park)
3 Chome Kotobukicho Kariya, Aichi 448-0856 JapanKijo Park is most popular around 12 PM on Saturdays. Visitors usually stay up to 4 hours here. It's most quiet on Wednesdays.
For more info visit the website or checkout Google Maps.
(Sushi restaurant)
Obu JapanSushiro Obu shop is most popular around 7 PM on Saturdays. Visitors usually stay 30 min to 1 hr here. It's most quiet on Thursdays.
For more info visit the website or checkout Google Maps.
(Ramen restaurant)
4 Chome-508 Hidakacho Kariya, Aichi 448-0046 JapanIppudo Kariya is most popular around 12 PM on Sundays. Visitors usually stay 30 min here. It's most quiet on Wednesdays.
For more info visit the website or checkout Google Maps.
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Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Ōbu, 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.