首都师范大学资源环境与旅游学院张晶教授等在一区Top期刊发文提出一种新的城市土地利用强度日动态量化模型
前言:因2月24日对该篇论文的推送标题存在严重错误,为对该文章产生的负面影响深表歉意,故于今日重新推送。
原文
A novel dynamic quantification model for diurnal urban land use intensity
——《Cities》
摘要
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 realworld 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.
大多数城市土地利用研究缺乏土地利用的动态分析和精确的时间分辨率。为了解决这个问题,我们的研究引入了一个动态模型,该模型包含城市土地功能的8个指标,每15分钟捕获一次强度变化。我们建立了一种使用城市数据计算这些指标的方法。我们的模型显著增强了时间分辨率,提供了详细的城市土地服务描述,并集成了真实世界的属性,例如建筑物的大小和类型。这允许在人类活动数据和静态功能城市区域之间进行和谐的比较。这种用于验证和比较结果的新方法解决了动态人类活动研究中缺乏精确评估的问题。我们广泛的土地利用分析揭示了以下重要发现:1)北京三环附近的某些地区显示出不同的夜间经济发展潜力。2)白天使用表明早高峰社会服务集中度高,而晚高峰则表现出分散的住宅使用,尽管强度很大。3)混合土地利用不能保证日常活动的一致性;然而,靠近多个火车站加剧了各种活动,导致混合土地利用加剧。总体而言,我们的模型为城市管理提供了一个强大的数据集,并有助于对温室气体排放和城市活力等研究课题进行精确评估。
研究内容
This study proposes a model with an enhanced temporal resolution to quantify the dynamic functional intensity of urban land use, thereby unveiling novel diurnal patterns within urban regions. With this study, we introduce a novel approach for the quantitative delineation of urban land functions: the Urban SpatioTemporal Functional Service Volume Model (STFM). This approach quantitatively characterizes urban functional zones, emphasizing the diurnal variations in the services offered by land for daily human activities. Our research presents distinct advantages over existing methodologies: 1) Relative to existing research, STFM substantially enhances the temporal resolution by quantifying urban land functionality every 15 min. This suggests that a more detailed understanding of urban land functions may unveil previously unrecognized patterns. 2) Our investigation considers the constraints and implications of building size and type in characterizing human activities. This not only aligns our descriptions more closely with reality, but also ensures comparability between human activity and urban land data owing to the unified magnitude. 3) In light of the challenges in verifying the accuracy of the results of existing studies on human activity dynamics owing to the absence of large-scale direct observations, we assessed the model's precision via comparative validation. This approach addresses efficiently the current lack of precise evaluation instruments for analyzing dynamic human activities.
本研究提出了一种具有增强时间分辨率的模型,用于量化城市土地利用的动态功能强度,从而揭示城市区域内新的昼夜格局。通过这项研究,我们引入了一种新的城市土地功能定量描述方法:城市时空功能服务量模型(STFM)。这种方法定量地描述了城市功能区的特征,强调了土地为日常人类活动提供的服务的昼夜变化。与现有方法相比,我们的研究具有明显的优势:1)与现有研究相比,STFM通过每15分钟量化一次城市土地功能,大大提高了时间分辨率。这表明,对城市土地功能的更详细理解可能会揭示以前未被识别的模式。2)我们的调查考虑了建筑物规模和类型在表征人类活动方面的限制和影响。这不仅使我们的描述更接近现实,而且由于规模统一,确保了人类活动与城市土地数据之间的可比性。3)鉴于由于缺乏大规模的直接观测,在验证现有人类活动动态研究结果的准确性方面存在挑战,我们通过比较验证评估了该模型的精度。这种方法有效地解决了目前缺乏用于分析动态人类活动的精确评估工具的问题。
重要图表
原文请见
https://doi.org/10.1016/j.cities.2024.104861
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