Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress 2023 EHA Congress 2023 ASCO Annual Meeting
Clinical Collections
Advances in Alzheimer’s

Keynote webinar | Spotlight on sleep in brain health

LIVE: Thursday 2nd May 2024, 18:00-19:30 (CEST)

Quality sleep is essential for health. But what happens to our brains when sleep patterns are disturbed? Join our experts to explore the interplay between sleep disruption and neurological diseases, and the questions that you need to be asking your patients to help you prevent the harmful effects of sleep deprivation.
ADVANCED SEARCH
Log in
Top
International Journal for Equity in Health
Published in: International Journal for Equity in Health 1/2018

Open Access 01-12-2018 | Research

A two-stage spatial allocation model for elderly healthcare facilities in large-scale affordable housing communities: a case study in Nanjing City

Authors: Tiantian Gu, Lingzhi Li, Dezhi Li

Published in: International Journal for Equity in Health | Issue 1/2018

Login to get access

Abstract

Background

As the proportion of elderly residents living in large-scale affordable housing communities (LAHCs) increases in China, serious problems have become apparent related to the spatial allocation of elderly healthcare facilities (EHFs), e.g., insufficient provision and inaccessibility. To address these issues, this study developed a location allocation model for EHFs to ensure equitable and efficient access to healthcare services for the elderly in LAHCs.

Methods

Based on discrete location theory, this paper develops a two-stage optimization model for the spatial allocation of EHFs in LAHCs. In the first stage, the candidate locations of EHFs are specified using geographic information system (GIS) techniques. In the second stage, the optimal location and size of each EHF are determined based on the greedy algorithm (GA). Finally, the proposed two-stage optimization model is tested using the Daishan LAHC in Nanjing, Eastern China.

Results

The demand of the elderly for accessibility to EHFs is in line with Nanjing’s planning standards. Deep insights into spatial data are revealed by GIS techniques that enable candidate locations of EHFs to be obtained. In addition, the model helps EHF planners achieve equity and efficiency simultaneously. Two optimal locations for EHFs in the Daishan LAHC are identified, which in turn verifies the validity of the model.

Conclusions

As a strategy for allocating EHFs, this two-stage model improves the equity and efficiency of access to healthcare services for the elderly by optimizing the potential sites for EHFs. It can also be used to assist policymakers in providing adequate healthcare services for the low-income elderly. Furthermore, the model can be extended to the allocation of other public-service facilities in different countries or regions.
Literature
1.
Cheng Y, Wang J, Rosenberg MW. Spatial access to residential care resources in Beijing. China Int J Health Geogr. 2012;11:1–11.CrossRef
2.
Murad AA. Defining health catchment areas in Jeddah city, Saudi Arabia: an example demonstrating the utility of geographical information systems. Geospat Health. 2008;2(2):151–60.PubMedCrossRef
3.
Wang C. Reflections on the planning for comprehensive, long-term, and costefficient community-based aging service facility system. City Plan Rev. 2013;2:151–60 In Chinese.
4.
Griffin PM, Scherrer CR, Swann JL. Optimization of community health center locations and service offerings with statistical need estimation. IIE Trans. 2008;40(9):880–92.CrossRef
5.
Boutayeb A, Boutayeb S. The burden of non communicable diseases in developing countries. Int J Equity Health. 2005;4(1):1–8.CrossRef
6.
7.
Huerta Munoz U, Källestål C. Geographical accessibility and spatial coverage modeling of the primary health care network in the Western Province of Rwanda. Int J Health Geogr. 2012;11(1):1–11.CrossRef
8.
Zarrinpoor N, Fallahnezhad MS, Pishvaee MS. Design of a reliable hierarchical location-allocation model under disruptions for health service networks: a two-stage robust approach. Comput Ind Eng Elsevier Ltd. 2017;109:130–50.CrossRef
9.
10.
11.
Tao Z, Cheng Y, Dai T, Rosenberg MW. Spatial optimization of residential care facility locations in Beijing, China: maximum equity in accessibility. Int J Health Geogr. 2014;13:33.PubMedPubMedCentralCrossRef
12.
Syam SS, Côté MJ. A comprehensive location-allocation method for specialized healthcare services. Oper Res Heal Care. 2012;1(4):73–83.CrossRef
13.
Tao Z, Cheng Y, Zheng Q, Li G. Measuring spatial accessibility to healthcare services with constraint of administrative boundary: a case study of Yanqing District, Beijing. China Int J Equity Health. 2018;17(1):7.PubMedCrossRef
14.
Li D, Chen H, Man Hui EC, Yang H, Li Q. A methodology for ex-post assessment of social impacts of an affordable housing project. Habitat Int. 2014;43:32–40.CrossRef
15.
Shi H, Meng WJ. Spatial distribution strategies for public housing based on social justice. J Chongqing Jiaotong Univ Nat Sci. 2013;32:173–6 In Chinese.
16.
Shi W, Chen J, Wang H. Affordable housing policy in China: new developments and new challenges. Habitat Int. 2016;54:224–33.CrossRef
17.
18.
Ma Z, Li C, Zhang J. Affordable housing brings about socio-spatial exclusion in Changchun, China: explanation in various economic motivations of local governments. Habitat Int. 2018;76:40–7.CrossRef
19.
Li L, Zhang J, Qiu B, Gu T. Allocation optimization for elderly facilities in public housing community: a case study in Nanjing city. Mod Urban Res. 2016;6:11–5 In Chinese.
20.
21.
Wang H, Shi G, Jia Y. Study on the impact of land acquisition and house demolition upon the life of suburban aged peasants: a case study in Nanjing city. China Soft Sci. 2009;5:46–54 In Chinese.
22.
Bingqiu Y, Xiaolu G, Jue J. Micro simulation and planning policies analysis for urban elderly care facilities: take Beijing as an example. Prog Geogr. 2015;34(12):1586–97 In Chinese.CrossRef
23.
Hu G, Huang J, Niu Q. Review and revelation of the research under the community service facilities background of aging. Urban Dev Stud. 2016;23(2):78–83 In Chinese.
24.
Daskin MS. What you should know about location modeling. Nav Res Logist. 2008;55(4):283–94.CrossRef
25.
Ahmadi-Javid A, Seyedi P, Syam SS. A survey of healthcare facility location. Comput Oper Res. 2017;79:223–63.CrossRef
26.
27.
Landa-Torres I, Manjarres D, Salcedo-Sanz S, Del Ser J, Gil-Lopez S. A multi-objective grouping harmony search algorithm for the optimal distribution of 24-hour medical emergency units. Expert Syst Appl. 2013;40(6):2343–9.CrossRef
28.
29.
Ngui AN, Apparicio P. Optimizing the two-step floating catchment area method for measuring spatial accessibility to medical clinics in Montreal. BMC Health Serv Res. 2011;11(1):166.PubMedPubMedCentralCrossRef
30.
31.
Rekha RS, Wajid S, Radhakrishnan N, Mathew S. Accessibility analysis of health care facility using geospatial techniques. Transportation Research Procedia. 2017;27:1163–70.CrossRef
32.
Fredriksson A. Location-allocation of public services - citizen access, transparency and measurement. A method and evidence from Brazil and Sweden. Socio Econ Plan Sci. 2017;59:1–12.CrossRef
33.
Daskin MS. Network and discrete location: models, algorithms, and applications. J Oper Res Soc. 1997;48:763–4.CrossRef
34.
Syam SS, Côté MJ. A location–allocation model for service providers with application to not-for-profit health care organizations. Omega. 2010;38(3–4):157–66.CrossRef
35.
Shariff SSR, Moin NH, Omar M. Location allocation modeling for healthcare facility planning in Malaysia. Comput Ind Eng. 2012;62(4):1000–10.CrossRef
36.
Doerner K, Focke A, Gutjahr WJ. Multicriteria tour planning for mobile healthcare facilities in a developing country. Eur J Oper Res. 2007;179(3):1078–96.CrossRef
37.
Jia H, Ordóñez F, Dessouky M. A modeling framework for facility location of medical services for large-scale emergencies. IIE Trans. 2007;39(1):41–55.CrossRef
38.
Hakimi SL. Optimum locations of switching centers and the absolute centers and medians of a graph. Oper Res. 1964;12(3):450–9.CrossRef
39.
Jia T, Tao H, Qin K, Wang Y, Liu C, Gao Q. Selecting the optimal healthcare centers with a modified P-median model: a visual analytic perspective. Int J Health Geogr. 2014;13(1):1–15.CrossRef
40.
Sasaki S, Comber AJ, Suzuki H, Brunsdon C. Using genetic algorithms to optimise current and future health planning-the example of ambulance locations. Int J Health Geogr. 2010;9:4.PubMedPubMedCentralCrossRef
41.
Farahani RZ, Hassani A, Mousavi SM, Baygi MB. A hybrid artificial bee colony for disruption in a hierarchical maximal covering location problem. Comput Ind Eng. 2014;75:129–41.CrossRef
42.
Patel AB, Waters NM, Ghali WA. Determining geographic areas and populations with timely access to cardiac catheterization facilities for acute myocardial infarction care in Alberta, Canada. Int J Health Geogr. 2007;6(1):47.PubMedPubMedCentralCrossRef
43.
Comber A, Brunsdon C, Green E. Using a GIS-based network analysis to determine urban greenspace accessibility for different ethnic and religious groups. Landsc Urban Plan. 2008;86(1):103–14.CrossRef
44.
Sadler RC. Integrating expert knowledge in a GIS to optimize siting decisions for small-scale healthy food retail interventions. Int J Health Geogr. 2016;15(1):1–13.CrossRef
45.
Ferguson WJ, Kemp K, Kost G. Using a geographic information system to enhance patient access to point-of-care diagnostics in a limited-resource setting. Int J Health Geogr. 2016;15(1):1–12.CrossRef
46.
Hossain MM, Laditka JN. Using hospitalization for ambulatory care sensitive conditions to measure access to primary health care: an application of spatial structural equation modeling. Int J Health Geogr. 2009;8(1):51.PubMedPubMedCentralCrossRef
47.
Hicks C, McGovern T. Prior G, smith I. applying lean principles to the design of healthcare facilities. Int J Prod Econ. 2015;170:677–86.CrossRef
48.
Cebecauer M, Buzna Ľ. A versatile adaptive aggregation framework for spatially large discrete location-allocation problems. Comput Ind Eng. 2017;111:364–80.CrossRef
49.
Rai PK, Nathawat MS. Analysis of health care facility using GIS and GPS. In: Geoinformatics heal Facil anal. Cham: Springer International Publishing; 2017. p. 93–121.CrossRef
50.
Spencer CJ, Yakymchuk C, Ghaznavi M. Visualising data distributions with kernel density estimation and reduced chi-squared statistic. Geosci Front. 2017;8(6):1247–52.CrossRef
51.
Peng J, Zhao S, Liu Y, Tian L. Identifying the urban-rural fringe using wavelet transform and kernel density estimation: a case study in Beijing City, China. Environ Model Softw. 2016;83:286–302.CrossRef
52.
Farahani RZ, Hekmatfar M. Facility location: concepts, models, algorithms and case studies. Appl theory. 2009;28(1):65–81.
53.
Bollapragada R, Camm J, Rao US, Wu J. A two-phase greedy algorithm to locate and allocate hubs for fixed-wireless broadband access. Oper Res Lett. 2005;33(2):134–42.CrossRef
Metadata
Title
A two-stage spatial allocation model for elderly healthcare facilities in large-scale affordable housing communities: a case study in Nanjing City
Authors
Tiantian Gu
Lingzhi Li
Dezhi Li
Publication date
01-12-2018
Publisher
BioMed Central
Published in
International Journal for Equity in Health / Issue 1/2018
Electronic ISSN: 1475-9276
DOI
https://doi.org/10.1186/s12939-018-0898-6

Other articles of this Issue 1/2018

International Journal for Equity in Health 1/2018 Go to the issue

Research

Government roles in regulating medical tourism: evidence from Guatemala

Research

Measuring financial protection against catastrophic health expenditures: methodological challenges for global monitoring

Research

The impact of telephone follow up on adverse events for Aboriginal people with chronic disease in new South Wales, Australia: a retrospective cohort study

Research

Why do some physicians choose to tackle inequities in healthcare?

Systematic review

Barriers for conducting clinical trials in developing countries- a systematic review

Research

A population-based study of the influence of socioeconomic status on prostate cancer diagnosis in Taiwan