Best open shops & malls Bucheon (KR) near you

Popular open shops and malls in Bucheon South Korea : Avoid busy hours by visiting shopping malls during the quiet days as indicated below.

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

AI
(Shopping center)
South Korea, Gyeonggi-do, Bucheon-si, Songnae-daero, 239 뉴코아부천점 5층
4.2

뉴코아아울렛 부천점 is most popular around 3 PM on Saturdays. Visitors usually stay 30 min to 2 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Shopping center)
South Korea 중동 1164번지 외3호 필지 현대백화점중동점 중동점 지하1층 일부 부천시 경기도 KR
4.2

Hyundai Department Store Jungdong is most popular around 3 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.

(Shopping center)
300 Gilju-ro
4.0

Lotte Department Store Jungdong is most popular around 2 PM on Saturdays. Visitors usually stay 25 min to 2 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Market)
Bucheon-si Korea, Republic of
4.2

부평종합시장 is most popular around 2 PM on Sundays. Visitors usually stay 20 min here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Market)
South Korea, Bucheon-si
4.2

역곡상상시장 is most popular around 3 PM on Saturdays. Visitors usually stay 20 min here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Shopping center)
South Korea, Gyeonggi-do, Bucheon-si, 원미구 상3동 535-5
3.8

세이브존 부천상동점 is most popular around 1 PM on Saturdays. Visitors usually stay 30 min to 2 hr 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 Bucheon, South Korea. 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.