A novel dynamic quantification model for diurnal urban land use intensity
Bibliographic Data
| ID | 11455804 |
|---|---|
| Authors | Hui-Jun Zhou (0000-0001-9950-7693, Capital Normal University), Huijun Zhou, Junlei Yuan (0009-0009-4439-5546, Capital Normal University), Disheng Yi (0000-0003-2617-7819, Capital Normal University), Sijia Jin (0009-0007-6893-2946, Capital Normal University), Yuxin Zhao (0000-0001-5133-1940, Capital Normal University), Zixi Zhang (0009-0006-4203-0285, Capital Normal University), Zexin Zhao (0000-0001-8975-7664, Capital Normal University), Jing Zhang (0000-0002-6431-9286, Capital Normal University, corresponding author) |
| Year | 2024 |
| Volume | 148 |
| Pages | 104861 |
| Publication date | 2024-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Cities (JOURNAL) |
| Journal identifiers | ISSN: 0264-2751 • E-ISSN: 1873-6084 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.cities.2024.104861 |
| OpenAlex | W4391669299 |
| Language | EN |
| Citations received | 7 |
| References cited | 53 |
Most urban land use studies lack dynamic analyses and precise temporal resolutions of land use. To address this issue, our study introduces a dynamic model that incorporates eight indicators of urban land function, capturing intensity shifts every 15 min. We establish a method for computing these indicators using urban data. Our model has notably enhanced temporal resolution, provides detailed urban land service depictions, and integrates real-world attributes, such as building size and type. This allows for harmonious comparisons between human activity data and static functional urban areas. This novel method for the validation and comparison of results addresses the lack of precise evaluations in dynamic human activity studies. Our extensive land use analysis reveals the following significant findings: 1) Certain regions near Beijing's Third Ring Road show variable potential for nighttime economic development. 2) Daytime use reveals high morning peak social service concentrations, whereas evening peaks manifest dispersed—albeit intense—residential use. 3) Mixed land use does not guarantee consistent daily activities; however, proximity to multiple train stations intensifies diverse activities, leading to heightened mixed land use. Overall, our model provides a robust dataset for urban management and facilitates precise evaluations of greenhouse-gas emissions and urban vitality, among other research topics
Beijing · Civil engineering · Environmental resource management · Geography · Greenhouse gas · Land use · Land use, land-use change and forestry · Meteorology · Physical geography · Urban planning · Computer Science · Engineering · Environmental Science · Human Mobility and Location-Based Analysis · Impact of Light on Environment and Health · Urban Transport and Accessibility · Ecology
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| Citations per year | 3.5 |
|---|---|
| Citation span | 2024 - 2026 (3) |
| Highly cited | No |