Deep Network Capacitated Covering Location Model: Spatial Location-allocation Optimization of Community Healthcare Facilities in Consideration of Public Health Emergencies
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引用次数: 0
Abstract
Equitable and efficient healthcare service is a critical issue for policymakers and planners in public health emergency events. However, current optimization methods of spatial location-allocation for healthcare facilities at community level often overlook the potential requirements stemming from outbreaks of infectious disease, which lead to biases in facility layout. This study proposes a deep network capacitated covering location model to optimize the spatial location-allocation of community healthcare facilities by considering the site suitability of facilities with an emphasis on emergency preparedness and residents’ access on foot. In the experimental analysis in Panyu district, Guangzhou, we establish the site suitability and access evaluation criteria to build a feature cube comprising 18 criteria maps. By labeling positive and negative samples for the deep site evaluation network model training, we input the feature cube to the model to identify suitable candidate sites. Then we evaluate the healthcare facility distribution against residents’ demands to optimize the spatial layout of healthcare facilities considering capacity constraints. The results indicate significant spatial disparities in community healthcare facility access, with the current distribution failing to meet demands. According to our approach, 637 suitable site locations as candidate sites are classified. Moreover, we find that only 51 additional facilities are needed to extend coverage to 91.2% of the population within a 30-minute walk. The proposed model outperforms the analytic hierarchy process by more accurately addressing residents’ actual healthcare needs. From a policy perspective, optimizing healthcare facility location-allocation using the proposed method improves equity and efficiency for residents at a walking scale, while maintaining emergency preparedness.
期刊介绍：
Description
The journal has an applied focus: it actively promotes the importance of geographical research in real world settings
It is policy-relevant: it seeks both a readership and contributions from practitioners as well as academics
The substantive foundation is spatial analysis: the use of quantitative techniques to identify patterns and processes within geographic environments
The combination of these points, which are fully reflected in the naming of the journal, establishes a unique position in the marketplace.
RationaleA geographical perspective has always been crucial to the understanding of the social and physical organisation of the world around us. The techniques of spatial analysis provide a powerful means for the assembly and interpretation of evidence, and thus to address critical questions about issues such as crime and deprivation, immigration and demographic restructuring, retailing activity and employment change, resource management and environmental improvement. Many of these issues are equally important to academic research as they are to policy makers and Applied Spatial Analysis and Policy aims to close the gap between these two perspectives by providing a forum for discussion of applied research in a range of different contexts
Topical and interdisciplinaryIncreasingly government organisations, administrative agencies and private businesses are requiring research to support their ‘evidence-based’ strategies or policies. Geographical location is critical in much of this work which extends across a wide range of disciplines including demography, actuarial sciences, statistics, public sector planning, business planning, economics, epidemiology, sociology, social policy, health research, environmental management.
FocusApplied Spatial Analysis and Policy will draw on applied research from diverse problem domains, such as transport, policing, education, health, environment and leisure, in different international contexts. The journal will therefore provide insights into the variations in phenomena that exist across space, it will provide evidence for comparative policy analysis between domains and between locations, and stimulate ideas about the translation of spatial analysis methods and techniques across varied policy contexts. It is essential to know how to measure, monitor and understand spatial distributions, many of which have implications for those with responsibility to plan and enhance the society and the environment in which we all exist.
Readership and Editorial BoardAs a journal focused on applications of methods of spatial analysis, Applied Spatial Analysis and Policy will be of interest to scholars and students in a wide range of academic fields, to practitioners in government and administrative agencies and to consultants in private sector organisations. The Editorial Board reflects the international and multidisciplinary nature of the journal.
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