干旱区生态环境知识资源中心(Arid): Evaluating urban accessibility: leveraging open-source data and analytics to overcome existing limitations

Arid

DOI	10.1177/2399808317736528
	Evaluating urban accessibility: leveraging open-source data and analytics to overcome existing limitations
	Logan, T. M.; Williams, T. G.; Nisbet, A. J.; Liberman, K. D.; Zuo, C. T.; Guikema, S. D.
通讯作者	Logan, TM (corresponding author), Univ Michigan, Ind & Operat Engn, Ann Arbor, MI 48104 USA.
来源期刊	ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
ISSN	2399-8083
EISSN	2399-8091
出版年	2019
卷号	46 期号:5 页码:897-913
英文摘要	We revisit the standard methodology for evaluating proximity to urban services and recommend enhancements to address existing limitations. Existing approaches often simplify their measure of proximity by using large areal units and by imposing arbitrary distance thresholds. By doing so, these approaches risk overlooking vulnerable, access-poor populations - the very populations that such studies are often trying to identify. These limitations are primarily motivated by computational constraints. However, recent advances in computational power, open data, and open-source analytics permit high-resolution proximity analyses on large scales. Given the impetus for equitable accessibility in our communities, this is of fundamental importance for researchers and practitioners. In this paper, we present an approach that leverages these open source advances to (a) measure proximity using network distance at the building level, (b) estimate population at that level, and (c) present the resulting distributions so vulnerable populations can be identified. Using three cities and modes of transport, we demonstrate how the approach enhances existing measures and identifies service-poor populations where the previous methods fall short. The proximity results could be used alone, or as inputs to access metrics. Our collating of these components into an open source code provides opportunities for researchers and practitioners to explore fine-resolution, city-wide accessibility across multiple cities and the host of questions that follow.
英文关键词	Spatial accessibility proximity walking cycling health care green space food deserts
类型	Article
语种	英语
收录类别	SSCI
WOS记录号	WOS:000471881100007
WOS关键词	GREEN SPACE ; HEALTH-CARE ; SPATIAL ACCESSIBILITY ; ENVIRONMENTAL JUSTICE ; ACCESS ; GIS ; PARKS ; SCHOOLS ; TRANSIT ; POPULATION
WOS类目	Environmental Studies ; Geography ; Regional & Urban Planning ; Urban Studies
WOS研究方向	Environmental Sciences & Ecology ; Geography ; Public Administration ; Urban Studies
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/369625
作者单位	[Logan, T. M.; Williams, T. G.; Liberman, K. D.; Zuo, C. T.; Guikema, S. D.] Univ Michigan, Ind & Operat Engn Dept, Ann Arbor, MI 48104 USA; [Nisbet, A. J.] Chalmers Univ Technol, Dept Phys, Gothenburg, Sweden
推荐引用方式 GB/T 7714	Logan, T. M.,Williams, T. G.,Nisbet, A. J.,et al. Evaluating urban accessibility: leveraging open-source data and analytics to overcome existing limitations[J],2019,46(5):897-913.
APA	Logan, T. M.,Williams, T. G.,Nisbet, A. J.,Liberman, K. D.,Zuo, C. T.,&Guikema, S. D..(2019).Evaluating urban accessibility: leveraging open-source data and analytics to overcome existing limitations.ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE,46(5),897-913.
MLA	Logan, T. M.,et al."Evaluating urban accessibility: leveraging open-source data and analytics to overcome existing limitations".ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE 46.5(2019):897-913.