| contributor author | Lee, Changro | |
| date accessioned | 2026-08-20T21:01:10Z | |
| date available | 2026-08-20T21:01:10Z | |
| date copyright | 2025/11/25 | |
| date issued | 2026 | |
| identifier other | JUPDDM.UPENG-5829.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313826 | |
| description 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 these intricate relationships, ... | |
| publisher | American Society of Civil Engineers | |
| title | Land Price Dynamics: An Interpretable Machine Learning Approach | |
| type | Journal Article | |
| journal volume | 152 | |
| journal issue | 1 | |
| journal title | Journal of Urban Planning and Development | |
| identifier doi | 10.1061/JUPDDM.UPENG-5829 | |
| journal fristpage | 04025084-1 | |
| journal lastpage | 04025084-9 | |
| page | 9 | |
| tree | Journal of Urban Planning and Development:;2026:;Volume ( 152 ):;issue: 001 | |
| contenttype | Fulltext | |
