【摘要】 住区土地利用绩效的提升对于优化公共资源配置与提升社会经济活力至关重要，尤其是对于新建住区，但目前还缺乏住区土地利用绩效的动态监测、评价方法。以人—地协调理论为指引，基于手机信令数据，从“动静—规模—方向”三个维度探究长时序人口迁移行为，构建新建住区土地利用绩效动态评估模型。以2018—2023年的武汉都市发展区为例，利用时间序列聚类分析技术，识别土地利用绩效的发育过程和演变趋势类型，将研究区的新建住区分为快热快稳型地块、慢热趋稳型地块、迟缓发育型地块、慢热发育型地块、波动发育型地块、动态失稳型地块，发现各类型住区复杂的空间异质性及阶段性发展特征，进而探讨影响土地利用绩效发育态势类型的主要因素。更多还原

【Abstract】 The improvement of land use performance in residential areas is of great significance to the efficiency of urban land use, the balance between work and residence, the allocation of public resources and the vitality of the social economy. However, there is still a lack of dynamic monitoring and evaluation methods for the land use performance of residential areas, especially effective monitoring means for the development of land use performance in newly built residential areas. Guided by the human-earth coordination theory and utilizing mobile phone signaling data, this study systematically investigates long-term temporal patterns of population migration through three analytical dimensions, dynamics, scale, and direction, while developing a dynamic evaluation model for assessing land use performance in newly developed residential areas. The development trend of land use performance in newly built residential areas in Wuhan can be classified into the following six categories:(1) Fast-heating and fast-stabilizing plots, mainly in Central and Northern Wuhan, are characterized by a rapid increase and subsequent stabilization of the static population. This is accompanied by declining immigration but a consistent net inflow, indicating that these areas are reaching maturity.(2) Slow-heating and stabilizing plots, predominantly located in the southern and western transition zones of Central Wuhan, exhibit a slow static population growth that eventually stabilizes a rise-and-fall pattern in immigration, and a volatile net inflow that eventually stabilizes, resulting in relatively late maturity.(3) Slow-developing plots, concentrated in Western, Northern and Central Wuhan, have an increasing static population, a gradual declining inflow population, and a net inflow that falls then stabilizes, resulting in a lagging development process.(4) Slow-heating and developing plots, scattered across Wuhan, characterized by a gradual increase in static population, followed by a later surge in immigration and a sharp increase in net inflow at a late stage, indicating strong development momentum.(5) Fluctuating development plots, found scattered in Southern and Western Wuhan, are marked by a rising static population, high volatility in both immigration and net inflow, and an overall unstable developmental trajectory.(6) Dynamically unstable plots, sporadically distributed in southwestern and southeastern periphery of Wuhan, have a low static population, are characterized by a low static population, high volatility in both immigration and net inflow, and slow development progress.更多还原