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Open AccessArticle

The Spatial Equity of Nursing Homes in Changchun: A Multi-Trip Modes Analysis

by Shuju Hu 1, Wei Song 2,*, Chenggu Li 1 and Jia Lu 3
1
School of Geographical Sciences, Northeast Normal University, Changchun, Jilin 130024, China
2
Department of Geography and Geosciences, University of Louisville, Louisville, KY 40292, USA
3
Geosciences Program, Valdosta State University, Valdosta, GA 31698, USA
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(5), 223; https://doi.org/10.3390/ijgi8050223
Received: 25 January 2019 / Revised: 2 April 2019 / Accepted: 6 May 2019 / Published: 9 May 2019
(This article belongs to the Special Issue Human-Centric Data Science for Urban Studies)
Based on network analysis, different trip modes were integrated into an improved potential model, and the geography of the spatial equity of nursing homes in Changchun is explored in 5-min, 10-min and 15-min scenarios, respectively. Results show that: (1) trip modes have significant influence on spatial equity and that the geography of spatial equity varied with trip modes; (2) the spatial equity value in Changchun is overall kept to a very low level. Most areas in urban fringes and urban core areas belong to underserved areas, and the capacity of nursing home, travel cost and the number of seniors, are the main influencing factors; (3) the geography of spatial equity in different scenarios show a very similar ring structure; namely, the spatial equity value within the urban core and at the most urban periphery is lower than that in intermediate areas. The hot spot analysis showed that the southwest urban fringes and east of the urban core are hot spot areas, while the urban core itself has cold spot areas. View Full-Text
Keywords: network analysis; nursing homes; trip mode; accessibility; spatial equity network analysis; nursing homes; trip mode; accessibility; spatial equity
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Hu, S.; Song, W.; Li, C.; Lu, J. The Spatial Equity of Nursing Homes in Changchun: A Multi-Trip Modes Analysis. ISPRS Int. J. Geo-Inf. 2019, 8, 223.

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