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Article: Comparing the use of spatially explicit indicators and conventional indicators in the evaluation of healthy cities: A case study in Shenzhen, China

TitleComparing the use of spatially explicit indicators and conventional indicators in the evaluation of healthy cities: A case study in Shenzhen, China
Authors
KeywordsSpatial distance
Indicator system
Evaluation
Social media data
Health cities
Issue Date2020
Citation
International Journal of Environmental Research and Public Health, 2020, v. 17, n. 20, article no. 7409 How to Cite?
AbstractVarious indicator systems have been developed to monitor and assess healthy cities. However, few of them contain spatially explicit indicators. In this study, we assessed four health determinants in Shenzhen, China, using both indicators commonly included in healthy city indicator systems and spatially explicit indicators. The spatially explicit indicators were developed using detailed building information or social media data. Our results showed that the evaluation results of districts and sub-districts in Shenzhen based on spatially explicit indicators could be positively, negatively, or not associated with the evaluation results based on conventional indicators. The discrepancy may be caused by the different information contained in the two types of indicators. The spatially explicit indicators measure the quantity of the determinants and the spatial accessibility of these determinants, while the conventional indicators only measure the quantity. Our results also showed that social media data have great potential to represent the high-resolution population distribution required to estimate spatially explicit indicators. Based on our findings, we recommend that spatially explicit indicators should be included in healthy city indicator systems to allow for a more comprehensive assessment of healthy cities.
Persistent Identifierhttp://hdl.handle.net/10722/296971
ISSN
2019 Impact Factor: 2.849
2020 SCImago Journal Rankings: 0.747
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYang, Jun-
dc.contributor.authorLuo, Xiangyu-
dc.contributor.authorXiao, Yixiong-
dc.contributor.authorShen, Shaoqing-
dc.contributor.authorSu, Mo-
dc.contributor.authorBai, Yuqi-
dc.contributor.authorGong, Peng-
dc.date.accessioned2021-02-25T15:17:04Z-
dc.date.available2021-02-25T15:17:04Z-
dc.date.issued2020-
dc.identifier.citationInternational Journal of Environmental Research and Public Health, 2020, v. 17, n. 20, article no. 7409-
dc.identifier.issn1661-7827-
dc.identifier.urihttp://hdl.handle.net/10722/296971-
dc.description.abstractVarious indicator systems have been developed to monitor and assess healthy cities. However, few of them contain spatially explicit indicators. In this study, we assessed four health determinants in Shenzhen, China, using both indicators commonly included in healthy city indicator systems and spatially explicit indicators. The spatially explicit indicators were developed using detailed building information or social media data. Our results showed that the evaluation results of districts and sub-districts in Shenzhen based on spatially explicit indicators could be positively, negatively, or not associated with the evaluation results based on conventional indicators. The discrepancy may be caused by the different information contained in the two types of indicators. The spatially explicit indicators measure the quantity of the determinants and the spatial accessibility of these determinants, while the conventional indicators only measure the quantity. Our results also showed that social media data have great potential to represent the high-resolution population distribution required to estimate spatially explicit indicators. Based on our findings, we recommend that spatially explicit indicators should be included in healthy city indicator systems to allow for a more comprehensive assessment of healthy cities.-
dc.languageeng-
dc.relation.ispartofInternational Journal of Environmental Research and Public Health-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectSpatial distance-
dc.subjectIndicator system-
dc.subjectEvaluation-
dc.subjectSocial media data-
dc.subjectHealth cities-
dc.titleComparing the use of spatially explicit indicators and conventional indicators in the evaluation of healthy cities: A case study in Shenzhen, China-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.3390/ijerph17207409-
dc.identifier.pmid33053715-
dc.identifier.pmcidPMC7601529-
dc.identifier.scopuseid_2-s2.0-85092469267-
dc.identifier.volume17-
dc.identifier.issue20-
dc.identifier.spagearticle no. 7409-
dc.identifier.epagearticle no. 7409-
dc.identifier.eissn1660-4601-
dc.identifier.isiWOS:000585601900001-
dc.identifier.issnl1660-4601-

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