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

Autor:	Donghwan Gu, Youjung Kim, Kaveh Forghanparast, Ryun Jung Lee, Daniel W. Goldberg, Galen Newman, Gunwoo Kim
Rok vydání:	2022
Předmět:	Atmospheric Science Geographic information system 010504 meteorology & atmospheric sciences Land use Computer science business.industry Geography Planning and Development 0211 other engineering and technologies 02 engineering and technology Python (programming language) 01 natural sciences Article General Energy Statistics business computer 021101 geological & geomatics engineering 0105 earth and related environmental sciences computer.programming_language
Zdroj:	J Spat Sci
ISSN:	1449-8596
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f46781ada2b6fa5ec05bb838f8b1ba4 https://pubmed.ncbi.nlm.nih.gov/35233188 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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