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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
Title | Comparing the use of spatially explicit indicators and conventional indicators in the evaluation of healthy cities: A case study in Shenzhen, China |
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Authors | |
Keywords | Spatial distance Indicator system Evaluation Social media data Health cities |
Issue Date | 2020 |
Citation | International Journal of Environmental Research and Public Health, 2020, v. 17, n. 20, article no. 7409 How to Cite? |
Abstract | Various 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 Identifier | http://hdl.handle.net/10722/296971 |
ISSN | 2019 Impact Factor: 2.849 2023 SCImago Journal Rankings: 0.808 |
PubMed Central ID | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Yang, Jun | - |
dc.contributor.author | Luo, Xiangyu | - |
dc.contributor.author | Xiao, Yixiong | - |
dc.contributor.author | Shen, Shaoqing | - |
dc.contributor.author | Su, Mo | - |
dc.contributor.author | Bai, Yuqi | - |
dc.contributor.author | Gong, Peng | - |
dc.date.accessioned | 2021-02-25T15:17:04Z | - |
dc.date.available | 2021-02-25T15:17:04Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | International Journal of Environmental Research and Public Health, 2020, v. 17, n. 20, article no. 7409 | - |
dc.identifier.issn | 1661-7827 | - |
dc.identifier.uri | http://hdl.handle.net/10722/296971 | - |
dc.description.abstract | Various 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.language | eng | - |
dc.relation.ispartof | International Journal of Environmental Research and Public Health | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Spatial distance | - |
dc.subject | Indicator system | - |
dc.subject | Evaluation | - |
dc.subject | Social media data | - |
dc.subject | Health cities | - |
dc.title | Comparing the use of spatially explicit indicators and conventional indicators in the evaluation of healthy cities: A case study in Shenzhen, China | - |
dc.type | Article | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.3390/ijerph17207409 | - |
dc.identifier.pmid | 33053715 | - |
dc.identifier.pmcid | PMC7601529 | - |
dc.identifier.scopus | eid_2-s2.0-85092469267 | - |
dc.identifier.volume | 17 | - |
dc.identifier.issue | 20 | - |
dc.identifier.spage | article no. 7409 | - |
dc.identifier.epage | article no. 7409 | - |
dc.identifier.eissn | 1660-4601 | - |
dc.identifier.isi | WOS:000585601900001 | - |
dc.identifier.issnl | 1660-4601 | - |