Evaluation of Medical Carrying Capacity for Megacities from a Traffic Analysis Zone View: A Case Study in Shenzhen, China

Abstract

Sustainable Development Goals propose to build inclusive, safe, resilient, and sustainable cities and human settlements, which requires us to scientifically evaluate the carrying capacity of current urban public service facilities, but there is still a lack of in-depth exploration of urban public medical service facilities. Therefore, this paper, within the mobile phone signaling data, improved the potential model and carrying capacity evaluation model of public medical facilities, explored the spatial pattern distribution of public medical resources in Shenzhen, and analyzed the current situation of carrying capacity of public medical resources. The study showed that: (1) the overall spatial distribution of public medical resources in Shenzhen is uneven, showing a pattern of multicenter aggregation and multilevel development; (2) the service potential of public medical facilities has obvious spatial variations, with Futian District, Dapeng New District, and Nanshan District showing more obvious high-gravitational-value aggregation centers; (3) medical facilities in Shenzhen are never empty, but the problems of medical underloading and overloading are severe, and spatial allocation and utilization efficiency need to be further optimized. The research results can provide a scientific basis for the research on the allocation and sustainable construction of medical resources in megacities.

Deconstruction of Commuters’ Activity Space and Social Exclusion under Anchor Point Theory: A Case Study of Kunming, China

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Optimal Regional Allocation of Future Population and Employment under Urban Boundary and Density Constraints: A Spatial Interaction Modeling Approach

“…Some recent studies focus on the relationship between accessibility and the spatial structure of economic activities. Wu et al [32] evaluate the relationship between the spatial structure of medical resources and the accessibility of medical facilities in different traffic analysis zones and shed light on the potential optimal solutions for the spatial allocation and efficient utilization of medical services. Zhang et al [33] scrutinize the relationship between the spatial pattern of roadway networks and the quality of business environments.…”

“…Therefore, the annualized total development cost, TDC, is as follows: TDC = TCOM + LDCP + LDCE + TCONP + TCONE (32) The allocated population and employment increments, ∆P and ∆E, are fixed. They are implicit in the commuting cost function, and explicit in the other functions, where they serve as given parameters.…”

Evaluation, Recognition and Implications of Urban–Rural Integration Development: A Township-Level Analysis of Hanchuan City in Wuhan Metropolitan Area

“…Towns with the highest overall score are selected as the centers of the urban-rural integration development zones. The gravity model is used to calculate the gravity value between each center and the surrounding towns [40]. The higher the gravity value, the closer to the centers.…”