Hour-of-day population variation across different functional zones of Beijing

Conventional high-resolution population maps typically represent long-term averages and overlook the temporal rhythms of urban life. Using Tencent User Location Data and Amap points of interest (POI), we visualized the intensity and timing of hour-of-day population variation across functional zones in Beijing at 0.01° resolution. For each grid cell, we quantified diurnal fluctuation using the standard deviation of hourly population and identified the hour of peak population presence. These metrics were integrated with POI-derived functional zones to produce a three-dimensional visual representation. The results revealed that commercial areas exhibit the highest fluctuation intensity and tend to peak around midday, whereas residential zones showed the lowest variability and peak at mid-night. This featured graphic highlights the value of time-aware and function-sensitive population representations for urban analytics and planning.

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Publication Details

Journal
Environment and Planning B Urban Analytics and City Science
Published
2026-05-18
DOI
https://doi.org/10.1177/23998083261453974
Primary Topic
Impact of Light on Environment and Health
Type
article
Field-Weighted Citation Impact
0.00

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article

Hour-of-day population variation across different functional zones of Beijing

Environment and Planning B Urban Analytics and City Science
Impact of Light on Environment and Health
article

Hour-of-day population variation across different functional zones of Beijing

article en

Abstract

Conventional high-resolution population maps typically represent long-term averages and overlook the temporal rhythms of urban life. Using Tencent User Location Data and Amap points of interest (POI), we visualized the intensity and timing of hour-of-day population variation across functional zones in Beijing at 0.01° resolution. For each grid cell, we quantified diurnal fluctuation using the standard deviation of hourly population and identified the hour of peak population presence. These metrics were integrated with POI-derived functional zones to produce a three-dimensional visual representation. The results revealed that commercial areas exhibit the highest fluctuation intensity and tend to peak around midday, whereas residential zones showed the lowest variability and peak at mid-night. This featured graphic highlights the value of time-aware and function-sensitive population representations for urban analytics and planning.

Environment and Planning B Urban Analytics and City Science
Universidad del Noreste (MX)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Sustainable cities and communities
Openalex Percentile: Top 5%
Impact of Light on Environment and Health
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