Urban land use mix and AI: A systematic review

IF 6 1区经济学 Q1 URBAN STUDIES

Cities Pub Date : 2025-05-24 DOI:10.1016/j.cities.2025.106102

Haithem Drici, José Carpio-Pinedo

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引用次数: 0

Abstract

This paper provides a comprehensive systematic review of Artificial Intelligence (AI) applications in urban land use mix at the granular level, a critical aspect of urban planning and sustainability. After screening 654 documents published between 2014 and 2024, 66 relevant studies are analyzed in detail. AI technologies are scrutinized for their potential to refine land use mix assessments and enhance the accuracy of urban functional planning tasks. Which could improve urban sustainability and foster spatial synergy by adeptly navigating the complexities of managing land use mix with AI-driven solutions. The review assesses these studies through three core dimensions: (1) AI techniques for urban land use classification and spatial interaction analysis, (2) AI-driven enhancement and optimization strategies for sustainable mixed-use development and management, and (3) AI tools enhancing participatory planning systems and decision-making processes. The review finds that, despite noteworthy progress and potential applicability, substantial challenges remain in fully integrating AI into the adaptive frameworks required by rapidly evolving urban contexts. The review identifies a diversity of research gaps that need to be addressed in future work, with the aim of refining AI techniques to better account for land use mix complexities and support more responsive socio-technical urban development initiatives.

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城市土地利用组合与人工智能：系统综述

本文全面系统地回顾了人工智能（AI）在城市土地利用组合中的应用，这是城市规划和可持续性的一个关键方面。通过筛选2014 - 2024年间发表的654篇文献，对66篇相关研究进行了详细分析。人工智能技术因其改进土地利用组合评估和提高城市功能规划任务准确性的潜力而受到仔细审查。这可以通过巧妙地利用人工智能驱动的解决方案来管理土地使用组合的复杂性，从而提高城市的可持续性，促进空间协同作用。该综述通过三个核心维度对这些研究进行了评估：(1)城市土地利用分类和空间相互作用分析的人工智能技术，(2)可持续混合用途开发和管理的人工智能驱动增强和优化策略，以及(3)增强参与式规划系统和决策过程的人工智能工具。审查发现，尽管取得了显著进展和潜在的适用性，但在将人工智能完全整合到快速发展的城市环境所需的适应性框架中仍然存在重大挑战。该审查确定了未来工作中需要解决的各种研究差距，目的是改进人工智能技术，以更好地考虑土地利用组合的复杂性，并支持更具响应性的社会技术城市发展举措。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.