A python script for longitudinally measuring the duration of vacant land uses

作     者：Newman, Galen Kim, Youjung Kim, Gunwoo Lee, Ryun Jung Gu, Donghwan Forghanparast, Kaveh Goldberg, Daniel 

作者机构：Texas A&M Univ Dept Landscape Architecture & Urban Planning College Stn TX 77843 USA Hanyang Univ Landscape & Urban Ecosyst Seoul South Korea 

出 版 物：《JOURNAL OF SPATIAL SCIENCE》 (区域科学杂志)

年 卷 期：2022年第67卷第1期

页      面：129-141页

核心收录：

学科分类：07[理学] 0705[理学-地理学] 0816[工学-测绘科学与技术] 070501[理学-自然地理学] 

基　　金：National Institute of Environmental Health Sciences Superfund [P42ES027704-01] National Institute of Environmental Health Sciences [P42ES027704] Funding Source: NIH RePORTER 

主　　题：Vacant land urban decline geographic information systems spatial analysis python script 

摘      要：Populating and depopulating cities have some degree of underutilised land. The duration of vacancy, or length of time a property remains unused, more strongly influences urban decline than the amount of vacant land. Assessment of the duration of vacancy is seldom conducted, due to a lack of linking longitudinal data. This research creates and applies a Python script to track the duration of vacancy in Minneapolis, MN, U.S.A, to create a tool that can be utilised by cities with vacant land inventories. The tool can be used globally to prioritise treatment areas for urban regeneration plans.