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Nightlight-Nightlife Interplay: Threshold effect of ambient lighting on perceived safety and physical activity at night

Yuankai Wang (Co-first Author), Yeyu Xiang (Co-first Author), Haoran Ma, Yi Lu, Zheng Chen, Waishan Qiu*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Artificial light at night (ALAN) influences safety perceptions, public health, energy use, and biodiversity, yet its eye-level impacts remain difficult to quantify at city scale. Meanwhile, reducing outdoor lighting is especially contested because the widely held belief that “brighter is safer” sustains excessive ALAN even in low-crime cities such as Hong Kong. We assert that unveiling the threshold effect of brightness on perceived safety and human behavior is crucial for shifting the linear paradigm and informing acceptable lighting adjustments. However, auditing urban-scale nighttime perceived safety is challenging because nighttime street view imagery (SVI) is almost nonexistent. Most studies rely on limited nighttime samples, satellite radiance, or daytime SVI as proxies, ignoring the spatial heterogeneity of nightscapes and differences between day and night. Moreover, lighting intensity is often examined in silo; how it interacts with urban forms is underexplored. To address these gaps, we developed a multimodal diffusion model trained on 2600 paired day–night SVIs and conditioned on SDGSAT-1 radiance (40 m) and POI context to synthesize context-aware nighttime scenes from 58,500 daytime SVIs (50 m spacing) across Hong Kong. A validated vision-language model was used to score perceived nighttime safety from generated images, while semantic area, brightness, and depth (ABD) features were extracted to model their interactions. To characterize human behaviors, approximately 150,000 volunteered trajectories of physical activities were collected. The ABD interactions extracted from eye-level nightscapes alone explained 49.3% (36.5%) of the variation in day–night activity disparities (perceived nighttime safety), significantly outperforming satellite-based radiance. Near-field, line-of-sight lighting on facades, trees, and sidewalks is consistently associated with higher safety and stronger nighttime activity retention. Brightness shows diminishing gains beyond ∼ 40–60 luma DN (∼19–40 lx as an interpretive reference from our DN–lux field cross-walk) on nighttime perception and physical activity across heterogeneous urban contexts, indicating significant potential for reduced light pollution in overlit areas. This study demonstrates the necessity and provides a scalable toolkit for auditing nighttime environments at eye level to support sustainable and healthy cities. © 2026 The Author(s).
Original languageEnglish
Article number105146
Number of pages36
JournalInternational Journal of Applied Earth Observation and Geoinformation
Volume147
Online published21 Feb 2026
DOIs
Publication statusPublished - Mar 2026

Funding

This study has been supported by the HKU-100 Scholar Award and the Teaching Development Grant from the University of Hong Kong (HKU). The authors would like to thank Ms. Xiaotong Ye, (HKU), Ms. Xinru Li (HKU), and Ms. Alina Viven Shults (HKU) for their generous support and help in collecting local day and night street view images and on-site illuminance.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Research Keywords

  • Artificial light at night (ALAN)
  • Multimodal diffusion
  • Nighttime safety perception
  • Nighttime street view imagery
  • Physicalactivity
  • Semantic-Brightness interaction
  • Threshold effect

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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