Innovative framework for identification and spatiotemporal dynamics analysis of industrial land at parcel scale with multidimensional attributes

IF 6.6 1区经济学 Q1 URBAN STUDIES Cities Pub Date : 2025-04-05 DOI:10.1016/j.cities.2025.105958

Weilong Kong , Jing Huang , Lu Niu , Shuocun Chen , Jiahe Zhou , Zhengfeng Zhang , Shan Guo

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Abstract

Understanding the spatiotemporal dynamics of industrial land is crucial for sustainable land use and industrial transformation. However, data and methodological limitations hinder large-scale, long-term studies of industrial land from a high-granularity, multi-dimensional perspective. This study develops a methodological framework using multi-source data to identify industrial land parcels, enabling a systematic analysis of both external attributes (including quantity scale and spatial pattern) and internal attributes (including functional structure and utilization intensity). The validity of the framework is demonstrated through a case study of the Southern Jiangsu Urban Agglomeration in China from 1990 to 2020. The overall accuracy of industrial land identification reaches 94.70 %, with detailed representations of parcel morphology. Based on this data, the study reveals the non-linearity of industrial land evolution, as well as the interrelationships and asynchrony among various attributes. Spatial patterns at the parcel level are uncovered, including four types of spatial evolution. Finally, the study identifies potential dimensions and areas for industrial land upgrading and provides specific recommendations for addressing compatibility between different attributes in planning and correcting land misallocation in land supply. The study contributes a new analytical method for advancing industrial land theory and offers support for refined management practices.

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多维属性地块尺度工业用地识别与时空动态分析创新框架

了解工业用地的时空动态对于可持续土地利用和工业转型至关重要。然而，数据和方法上的限制阻碍了从高粒度、多维度的角度对工业用地进行大规模的长期研究。本研究建立了一个方法框架，利用多源数据识别工业用地地块，从而能够系统分析外部属性（包括数量规模和空间格局）和内部属性（包括功能结构和利用强度）。通过对中国苏南城市群 1990 年至 2020 年的案例研究，证明了该框架的有效性。通过对地块形态的详细描述，工业用地识别的总体准确率达到 94.70%。基于这些数据，研究揭示了工业用地演变的非线性以及各种属性之间的相互关系和非同步性。研究揭示了地块层面的空间模式，包括四种空间演变类型。最后，研究确定了工业用地升级的潜在维度和领域，并为解决规划中不同属性之间的兼容性和纠正土地供应中的土地错配提出了具体建议。该研究为推进工业用地理论提供了一种新的分析方法，并为精细化管理实践提供了支持。

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来源期刊

Cities URBAN STUDIES-

CiteScore

11.20

自引率

9.00%

发文量

517

期刊介绍： Cities offers a comprehensive range of articles on all aspects of urban policy. It provides an international and interdisciplinary platform for the exchange of ideas and information between urban planners and policy makers from national and local government, non-government organizations, academia and consultancy. The primary aims of the journal are to analyse and assess past and present urban development and management as a reflection of effective, ineffective and non-existent planning policies; and the promotion of the implementation of appropriate urban policies in both the developed and the developing world.