This image depicts a wet, dark urban road at night, captured with significant motion blur, suggesting the perspective of a moving vehicle within the Chongqing High-tech Zone, China. The foreground is dominated by a dark asphalt road reflecting artificial light, indicating recent rain or standing water, with a faded white road marking partially visible in the lower right. To the left, a large, heavily motion-blurred tree with green foliage is prominent, extending from the mid-ground upwards. Multiple indistinct vehicles are parked along the left side of the road, blurred by motion. Several bright streetlights are visible, casting light on the scene and creating reflections on the wet surface. In the mid-ground, a prominent white elevated structure, possibly an overpass or a part of a large entrance gate, spans horizontally across the frame, supported by multiple white pillars. Below this structure, elements consistent with a road entrance or checkpoint are visible, including what appear to be blue and white barriers or signs, though rendered indistinct by blur. Two dark, indistinct building silhouettes rise in the far background against the dark night sky. A small, unidentifiable, blurry white object is visible in the upper center sky. No discernible human figures are present.Nighttime street documentation in Chongq
IMAGE
IY1uEx38hlPZICZPRPizf77IIp42

spring

Creator

Sat, Jun 6, 2026, 05:00 PM

14d ago

Chongqing High-tech Zone, China

29.61100, 106.31300

This image depicts a wet, dark urban road at night, captured with significant motion blur, suggesting the perspective of a moving vehicle within the Chongqing High-tech Zone, China. The foreground is…read more

lonely
melancholy
contemplative
isolated
pensive

Technical

ID

1be23fa8-4c1e-4bc4-9

𝕏finWT

Usage Rights

This media is free for non-commercial use with proper attribution.

Commercial use, AI/ML training, and derivative works are prohibited without explicit consent from the creator.

Licensed under CC BY-NC 4.0 with additional AI/ML restrictions. Full terms →

View event cluster