Evidence map›Paper›PMID 29743111›Full record

ArticleBMC health services research2018

Spatial accessibility to healthcare services in Shenzhen, China: improving the multi-modal two-step floating catchment area method by estimating travel time via online map APIs.

Zhuolin Tao, Zaoxing Yao, Hui Kong, Fei Duan, Guicai Li

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
18.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 115 citations in OpenAlex.

  1. [Spatial accessibility and optimization of pediatric healthcare resources in Beijing].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2026
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  16. Spatial Accessibility Analysis of Medical Facilities Based on Public Transportation Networks.International journal of environmental research and public health · 2022
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  17. Facility or Transport Inequality? Decomposing Healthcare Accessibility Inequality in Shenzhen, China.International journal of environmental research and public health · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Zhuolin TaoSchool of Urban Planning and Design, Peking University, Shenzhen, 518055, Guangdong, China.
Zaoxing YaoEconomics and Business Administration, Chongqing University, Chongqing, 400030, China. yao9700@foxmail.com.
Hui KongDepartment of Geography, The Ohio State University, Columbus, OH, 43210, USA.
Fei DuanSchool of Urban Planning and Design, Peking University, Shenzhen, 518055, Guangdong, China.
Guicai LiSchool of Urban Planning and Design, Peking University, Shenzhen, 518055, Guangdong, China.
Peking University · CNChongqing University · CNThe Ohio State University · US

Funding

Pingshan Administrative Bureau of Urban Planning, Land & Resources Commission of Shenzhen Municipality [2016]04YUrban China Initiative (UCI) UCI grant 2017
6 · The paper itself

Abstract

backgroundShenzhen has rapidly grown into a megacity in the recent decades. It is a challenging task for the Shenzhen government to provide sufficient healthcare services. The spatial configuration of healthcare services can influence the convenience for the consumers to obtain healthcare services. Spatial accessibility has been widely adopted as a scientific measurement for evaluating the rationality of the spatial configuration of healthcare services.

methodsThe multi-modal two-step floating catchment area (2SFCA) method is an important advance in the field of healthcare accessibility modelling, which enables the simultaneous assessment of spatial accessibility via multiple transport modes. This study further develops the multi-modal 2SFCA method by introducing online map APIs to improve the estimation of travel time by public transit or by car respectively.

resultsAs the results show, the distribution of healthcare accessibility by multi-modal 2SFCA shows significant spatial disparity. Moreover, by dividing the multi-modal accessibility into car-mode and transit-mode accessibility, this study discovers that the transit-mode subgroup is disadvantaged in the competition for healthcare services with the car-mode subgroup. The disparity in transit-mode accessibility is the main reason of the uneven pattern of healthcare accessibility in Shenzhen.

conclusionsThe findings suggest improving the public transit conditions for accessing healthcare services to reduce the disparity of healthcare accessibility. More healthcare services should be allocated in the eastern and western Shenzhen, especially sub-districts in Dapeng District and western Bao'an District. As these findings cannot be drawn by the traditional single-modal 2SFCA method, the advantage of the multi-modal 2SFCA method is significant to both healthcare studies and healthcare system planning.

Indexed as

Catchment Area, HealthHealth Services AccessibilityTravelChinaHumansSpatial AnalysisTransportationVulnerable Populations2SFCAHealthcare accessibilityMulti-modalOnline map APIShenzhen

Identifiers

PMID29743111
PMCPMC5944163
OpenAlexW2805774194

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.