Sign in
An urban street scene is depicted under an overcast sky, located at Pukou Street, Xihu District, Hangzhou, China.

In the foreground, three electric scooters are parked sequentially on a grey tiled sidewalk. The leftmost scooter is light pink and white, equipped with a rear storage box and displaying a yellow license plate numbered "0619002". A pair of pink flip-flops hangs from its left side. The middle scooter is black, featuring a black seat cover and a yellow license plate numbered "5230415". The rightmost scooter is blue and black, with a yellow license plate numbered "3248881". All three scooters have additional advertisement boards affixed to their rear.

A paved street separates the sidewalk from a large commercial building complex. Several blue and white traffic cones are distributed on the street. The primary building in the background features a brown facade with a distinct geometric, diamond-patterned design and a large, dark rectangular digital display screen. Prominent signage identifies the complex with "金街美地" (Jin Street Beautiful Land), "拾光糖景城" (Shiguang Tangjing City), and "杭州口腔医院" (Hangzhou Dental Hospital) on the third floor. Ground-level storefronts include McDonald's and Starbucks Coffee. In the far midground, beyond the street, an open plaza contains multiple colorful, coin-operated children's rides, including vehicles and animal figures.

Further in the background, a cluster of taller, multi-story buildings, predominantly grey and white, rise above the commercial complex, displaying numerous windows and external air conditioning units. A section of a red brick building is also visible within this cluster. A sign with "学林街口" (Xuelin Jie Kou) is visible on one of these buildings. The scene is devoid of active human subjects in the immediate foreground or midground.
_andre_

Feb 24, 2026, 5:51 AM

Xihu District, China

Stake attention in this memory

Urban
Neutral
Ordinary
Busy
Contemporary

An urban street scene is depicted under an overcast sky, located at Pukou Street, Xihu District, Hangzhou, China. In the foreground, three electric scooters are parked sequentially on a grey tiled sidewalk. The leftmost scooter is light pink and white, equipped with a rear storage box and displaying a yellow license plate numbered "0619002". A pair of pink flip-flops hangs from its left side. The middle scooter is black, featuring a black seat cover and a yellow license plate numbered "5230415". The rightmost scooter is blue and black, with a yellow license plate numbered "3248881". All three scooters have additional advertisement boards affixed to their rear. A paved street separates the sidewalk from a large commercial building complex. Several blue and white traffic cones are distributed on the street. The primary building in the background features a brown facade with a distinct geometric, diamond-patterned design and a large, dark rectangular digital display screen. Prominent signage identifies the complex with "金街美地" (Jin Street Beautiful Land), "拾光糖景城" (Shiguang Tangjing City), and "杭州口腔医院" (Hangzhou Dental Hospital) on the third floor. Ground-level storefronts include McDonald's and Starbucks Coffee. In the far midground, beyond the street, an open plaza contains multiple colorful, coin-operated children's rides, including vehicles and animal figures. Further in the background, a cluster of taller, multi-story buildings, predominantly grey and white, rise above the commercial complex, displaying numerous windows and external air conditioning units. A section of a red brick building is also visible within this cluster. A sign with "学林街口" (Xuelin Jie Kou) is visible on one of these buildings. The scene is devoid of active human subjects in the immediate foreground or midground.

Loading AttnAds…

transactions
revenues
stakers
Earliest
Latest
Highest stake

No transactions found

More from this user

More from Xihu District

_andre_

Feb 24, 2026, 5:51 AM

Xihu District, China

Licensed under Creative Commons Attribution 4.0 International License. You are free to share and adapt this content with proper attribution.