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    Land Price Dynamics: An Interpretable Machine Learning Approach 

    Source: Journal of Urban Planning and Development:;2026:;Volume ( 152 ):;issue: 001:;page 04025084-1
    Author(s): Lee, Changro
    Publisher: American Society of Civil Engineers
    Abstract: Abstract Land prices are a crucial aspect of urban planning and property valuation, and as cities grow, their dynamics become increasingly complex. Machine learning has been actively employed since the mid-2010s to capture ...
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