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<p>As global urbanization advances, redeveloping low-efficiency land resources is crucial for alleviating spatial supply-demand conflicts and promoting synergy between the built environment and human activities. A primary challenge is determining the most suitable land uses to meet residents’ needs. Traditionally, decisions have been guided by governmental goals and planners’ expertise, often lacking new data and technologies to measure complex interactions between underutilized land and its surrounding environments, driven by residents’ daily activities, which also reflect their spatial functional needs. Understanding human mobility patterns of high-performing land can inform decisions about the redevelopment of those low-efficiency lands. In this regard, we propose a novel approach for determining land use functions in urban renewal areas by accounting for human mobility patterns and their relationships with land use performance. The land use performance is measured using multi-source datasets across three dimensions: vitality, spatial quality, and functional service and output. We then use the knowledge learned from the human mobility patterns of high-performing areas to help determine the dominant functions and the proportion of various land uses of underutilized areas in future development. The case study of Nanjing, China, suggests that the configuration derived from our method, with relatively low loss and high accuracy, aligns well with regulatory planning and stakeholders’ requirements. Additionally, we propose human-centered land use policies that emphasize adjusting key indicators, establishing coordination mechanisms, and implementing supporting measures for redevelopment. These recommendations aim to inform the practice of redeveloping urban low-efficiency land and foster the adaptation of urban form to human dynamics.</p>

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A Novel GNN-Based Approach for Determining Land use Functions in Urban Renewal Areas: Considering Human Mobility and its Relationships with Land use Performance

  • 期刊论文

  • 发表日期：

    2026年2月25日

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  • Xiao Qin,
  • Ruotong Wu,
  • Shanqi Zhang,
  • Feng Zhen

摘要

As global urbanization advances, redeveloping low-efficiency land resources is crucial for alleviating spatial supply-demand conflicts and promoting synergy between the built environment and human activities. A primary challenge is determining the most suitable land uses to meet residents’ needs. Traditionally, decisions have been guided by governmental goals and planners’ expertise, often lacking new data and technologies to measure complex interactions between underutilized land and its surrounding environments, driven by residents’ daily activities, which also reflect their spatial functional needs. Understanding human mobility patterns of high-performing land can inform decisions about the redevelopment of those low-efficiency lands. In this regard, we propose a novel approach for determining land use functions in urban renewal areas by accounting for human mobility patterns and their relationships with land use performance. The land use performance is measured using multi-source datasets across three dimensions: vitality, spatial quality, and functional service and output. We then use the knowledge learned from the human mobility patterns of high-performing areas to help determine the dominant functions and the proportion of various land uses of underutilized areas in future development. The case study of Nanjing, China, suggests that the configuration derived from our method, with relatively low loss and high accuracy, aligns well with regulatory planning and stakeholders’ requirements. Additionally, we propose human-centered land use policies that emphasize adjusting key indicators, establishing coordination mechanisms, and implementing supporting measures for redevelopment. These recommendations aim to inform the practice of redeveloping urban low-efficiency land and foster the adaptation of urban form to human dynamics.