Land 2026, 15(5), 780; https://doi.org/10.3390/land15050780 - 5 May 2026
Abstract
Rapid climate change and accelerated urbanization expose the limitations of land use planning approaches grounded in static spatial allocation and assumptions of predictable futures. Contemporary urban systems are increasingly characterized by continuous socio-economic–ecological transformation, requiring planning paradigms capable of engaging with change as
[...] Read more.
Rapid climate change and accelerated urbanization expose the limitations of land use planning approaches grounded in static spatial allocation and assumptions of predictable futures. Contemporary urban systems are increasingly characterized by continuous socio-economic–ecological transformation, requiring planning paradigms capable of engaging with change as a persistent condition rather than an episodic disruption. This paper develops a conceptual framework that reframes urban land use planning as the governance of land use change over time. Drawing on resilience thinking, systems perspectives, and the Time Quality Assessment (TQA) approach, the framework conceptualizes urban form as a temporally dynamic system whose performance must be assessed across duration, adaptability, and long-term trajectories of change. Rather than relying on empirical case studies, the paper advances a theory-driven synthesis that foregrounds temporal resilience as a core dimension of spatial performance under climate uncertainty. By positioning TQA as a conceptual–operational interface for engaging with temporal dynamics, the paper challenges static and deterministic planning models and argues for a shift from managing land use toward stewarding land use change. The framework offers a coherent foundation for future empirical research and for the development of planning practices oriented toward robustness, adaptability, and long-term responsibility in uncertain urban futures.
Full article
(This article belongs to the Special Issue Urban Land Use Change and Its Spatial Planning)
►
Show Figures
Figure 1
