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:: Volume 12, Issue 4 (6-2023) ::
JGST 2023, 12(4): 91-106 Back to browse issues page
Development of an approach to creating a spatial equity map of urban health and validation through Volunteered Geographic information (case study: District 6 of Tehran metropolis)
Zeinab Neisani Samani * , Ali Asghar Alesheikh , Iman Zandi
Abstract:   (691 Views)
Spatial equity of urban health (USEH) is closely related to quality-of-life standards and urban development. Its evaluation is very important in the performance of public health and urban planning.  The aim of this research is to develop an approach to prepare and evaluate the USEH map using two data sets including reference location information and Volunteered Geographic Information (VGI).  To determine the accuracy of the maps obtained from both types of data sets. This research was carried out in district 6 of Tehran metropolis. In this research, the effective criteria of the amount of USEH were first determined. The criteria map was prepared with spatial analysis and multi-criteria decision-making, and the final USEH map was prepared by combining the criteria map. To validate the prepared map, the USEH map was again produced based on the VGI information provided by the citizens and compared with the map obtained from the reference data. The amount of USEH for citizens is classified into 5 levels, from very suitable to very unsuitable. Based on the USEH map obtained from the reference data, approximately 62% of the study area has good or very good spatial equity. Comparison of the VGI map with the reference map showed a 72% match. Determining and evaluating USEH for different regions using new methods and technologies is a fundamental step to help health decision-makers in order to manage and allocate resources. It is expected that the results of the present research will be considered an essential criterion for decision-making in the field of health and increasing spatial equity in citizens' enjoyment of health facilities and components.
Article number: 6
Keywords: Spatial equity of urban health, Volunteered Geographic information, fuzzy inference system, multi-criteria decision making, healthcare services.
Full-Text [PDF 1914 kb]   (223 Downloads)    
Type of Study: Research | Subject: GIS
Received: 2023/04/28
References
1. Lu C, Zhang Z, Lan X. (2019). Impact of China's referral reform on the equity and spatial accessibility of healthcare resources: a case study of Beijing. [DOI:10.1016/j.socscimed.2019.112386] [PMID]
2. Corburn J, Cohen AK. (2012). Why we need urban health equity indicators: integrating science, policy, and community. [DOI:10.1371/journal.pmed.1001285] [PMID] [PMCID]
3. Neisani Samani Z, Alesheikh A.A. (2019). Uncertainty Modelling of Citizen-Centered Group Decision Making Using Fuzzy-VIKOR Case Study: Site Selection of Healthcare Services. [DOI:10.5194/isprs-archives-XLII-4-W18-809-2019]
4. Whitehead J. (2019). Spatial equity and realised access to healthcare-a geospatial analysis of general practitioner enrolments in Waikato. [DOI:10.22605/RRH5349] [PMID]
5. Mishra S. (2019). Geo-spatial site suitability analysis for development of health care units in rural India. [DOI:10.1016/j.jtrangeo.2019.05.017]
6. Harris RB. (2013). The relationship between socially-assigned ethnicity, health and experience of racial discrimination for Māori. [DOI:10.1186/1471-2458-13-844] [PMID] [PMCID]
7. Ni J, Qian T, Xi C, Rui Y, Wang J. (2016). Spatial distribution characteristics of healthcare facilities in Nanjing: Network point pattern analysis and correlation analysis. [DOI:10.3390/ijerph13080833] [PMID] [PMCID]
8. Ramzi AI, El-Bedawi MA. (2019). Towards integration of remote sensing and GIS to manage primary health care centers. Applied Computing and Informatics. 15(2): 109-13. [DOI:10.1016/j.aci.2017.12.001]
9. Pierangeli I, Nieuwenhuijsen MJ, Cirach M, Rojas-Rueda D. (2010). Health equity and burden of childhood asthma-related to air pollution in Barcelona. Environmental Research. 186: 109067. [DOI:10.1016/j.envres.2019.109067] [PMID]
10. Shin K, Lee T. (2018). Improving the measurement of the Korean emergency medical System's spatial accessibility. Applied geography. 100: 30-38. [DOI:10.1016/j.apgeog.2018.08.009]
11. Lee J, Miller HJ. (2019). Analyzing collective accessibility using average space-time prisms. Transportation Research Part D: Transport and Environment. 69: 250-264. [DOI:10.1016/j.trd.2019.02.004]
12. Kolak M. (2020). Extending Volunteered Geographic Information (VGI) with geospatial software as a service: Participatory asset mapping infrastructures for urban health. [DOI:10.1007/978-3-030-19573-1_11]
13. Ismailzadeh, H, Masoumi, L. (2014). Spatial justice analysis of the cities of Ardabil province in terms of health-treatment indicators using the Vikor model.
14. Mansour S. (2016). Spatial analysis of public health facilities in Riyadh Governorate, Saudi Arabia: A GIS-based study to assess geographic variations of service provision and accessibility. [DOI:10.1080/10095020.2016.1151205]
15. Liu S, Qin Y, Xu Y. (2019). Inequality and influencing factors of spatial accessibility of medical facilities in rural areas of China: a case study of Henan Province. [DOI:10.3390/ijerph16101833] [PMID] [PMCID]
16. Zhang S. (2019). Spatial equity of multilevel healthcare in the metropolis of Chengdu, China: a new assessment approach. [DOI:10.3390/ijerph16030493] [PMID] [PMCID]
17. Mohammadi manesh G. (2022). Equity on access to health care services among COVID-19 cases and related deaths in Iran. [DOI:10.52547/jha.25.1.80]
18. Vahidnia MH, Alesheikh AA, Alimohammadi A. (2009). Hospital site selection using fuzzy AHP and its derivatives. [DOI:10.1016/j.jenvman.2009.04.010] [PMID]
19. Zandi I, Pahlavani P. (2021). Spatial Modeling and Prioritization of Potential Areas for Determining Location of Hospitals by a GIS-Based Multi-Criteria Decision-Making Analyses.
20. Zandi I. (2021). Combining CRITIC Objective Weighting Method with CODAS and VIKOR Methods for Selecting Prospect Hospital Sites
21. Hu R, Dong S, Zhao Y, Hu H, Li Z. (2013). Assessing potential spatial accessibility of health services in rural China: a case study of Donghai County. [DOI:10.1186/1475-9276-12-35] [PMID] [PMCID]
22. Powell LM. (2006). Availability of physical activity-related facilities and neighborhood demographic and socioeconomic characteristics: a national study. [DOI:10.2105/AJPH.2005.065573] [PMID] [PMCID]
23. Dell'Ovo M, Capolongo S, Oppio A. (2018). Combining spatial analysis with MCDA for the siting of healthcare facilities. [DOI:10.1016/j.landusepol.2018.02.044]
24. Alzouby AM. (2019). GIS based multi criteria decision analysis for analyzing accessibility of the disabled in the Greater Irbid Municipality Area, Irbid, Jordan. [DOI:10.1016/j.aej.2019.05.015]
25. Consortium Equitable. (2021). Healthcare in post-COVID India: A call for a decentralized healthcare system.
26. Hunter RF, Cleary A, Braubach M. (2019). Environmental, health and equity effects of urban green space interventions. [DOI:10.1007/978-3-030-02318-8_17] [PMCID]
27. Lee J, Miller HJ. (2019). Analyzing collective accessibility using average space-time prisms. [DOI:10.1016/j.trd.2019.02.004]
28. Ashik FR. (2020). Towards vertical spatial equity of urban facilities: An integration of spatial and aspatial accessibility. [DOI:10.1016/j.jum.2019.11.004]
29. Todd A . (2015). Access all areas? An area-level analysis of accessibility to general practice and community pharmacy services in England by urbanity and social deprivation. [DOI:10.1136/bmjopen-2014-007328] [PMID] [PMCID]
30. Saaty TL. (2008). Decision making with the analytic hierarchy process. International journal of services sciences. Jan 1;1(1):83-98. [DOI:10.1504/IJSSCI.2008.017590]
31. Mulyanto J. (2020). The contribution of service density and proximity to geographical inequalities in health care utilisation in Indonesia: A nation-wide multilevel analysis. [DOI:10.7189/jogh.10.020428] [PMID] [PMCID]
32. Habibi R, Alesheikh AA, Mohammadinia A, Sharif M. (2017).An assessment of spatial pattern characterization of air pollution: A case study of CO and PM2. 5 in Tehran, Iran. ISPRS international journal of Geo-information. 6(9): 270. [DOI:10.3390/ijgi6090270]
33. Reshadat S, Saeidi S. (2021). Survey on the indexes of health equity in the physical environment and infrastructures of Kermanshah province, Iran. [DOI:10.1186/s42506-021-00068-z] [PMID] [PMCID]
34. Malczewski J. (2011). Local weighted linear combination. Transactions in GIS. 15(4): 439-55. [DOI:10.1111/j.1467-9671.2011.01275.x]
35. Mamdani EH. (1977). Application of fuzzy logic to approximate reasoning using linguistic synthesis. . [DOI:10.1109/TC.1977.1674779]
36. Neisani Samani Z, Karimi M, Alesheikh A.A. (2020). Environmental and infrastructural effects on respiratory disease exacerbation: a LBSN and ANN-based spatio-temporal modelling. Environmental monitoring and assessment. [DOI:10.1007/s10661-019-7987-x] [PMID]
37. https://air.tehran.ir/
38. Berger A, Guda S. (2020). Threshold optimization for F measure of macro-averaged precision and recall. [DOI:10.1016/j.patcog.2020.107250]
39. Das D, Naskar R. (2022). Image Splicing Detection Using Feature Based Machine Learning Methods and Deep Learning Mechanisms. [DOI:10.1007/978-981-19-3089-8_22]
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Neisani Samani Z, Alesheikh A A, Zandi I. Development of an approach to creating a spatial equity map of urban health and validation through Volunteered Geographic information (case study: District 6 of Tehran metropolis). JGST 2023; 12 (4) : 6
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Volume 12, Issue 4 (6-2023) Back to browse issues page
نشریه علمی علوم و فنون نقشه برداری Journal of Geomatics Science and Technology