Mixed Temporal Measurement of Land Use Based on AOI Data and Thermal Data

Yiyang Hu, Hongfei Chen (), Xiping Yang, Yuzheng Cui, Tianxiao Cui and Wenqing Fang
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Yiyang Hu: School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China
Hongfei Chen: School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China
Xiping Yang: School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China
Yuzheng Cui: School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China
Tianxiao Cui: School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China
Wenqing Fang: School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China

Land, 2025, vol. 14, issue 7, 1-24

Abstract: Land use mix is important for urban planning, and existing land use mix metrics frameworks have been developed comprehensively in terms of categories, distances, and attributes. However, most existing indices focus solely on the spatial dimension of land use mixing, neglecting the inherent temporal variation of land use within short time scales, which results in difficulties in comprehensively and accurately capturing the cyclical dynamic characteristics of land use. In response to this problem, this study introduces innovative modifications to the diversity indicator from the perspective of the temporal availability of land use, based on the business time characteristics of land use. Specifically, three time-sensitive indexes were proposed, including the temporal diversity index (TDI), the daily temporal diversity index (DTDI), and the temporal entropy index (TEI). With these indexes, this paper measures and analyzes the functional mix of street blocks in Xi’an City. The results of the study show that the indexes are effective in reflecting changes in the temporal dimension of the land use mix. Meanwhile, Xi’an’s land use mix pattern is more reasonable in terms of setting business hours, but the type of functional mix needs to be optimized. The proposed indicator system offers a novel perspective on the spatiotemporal mixing of land use and delivers more precise decision-making support for urban planning and management.

Keywords: land use mix; time availability; diversity; urban big data; urban functional zone (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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