The Unmet Medical Demand among China’s Urban Residents

Sheng, Pengfei; Zhang, Tengfei

doi:10.3390/ijerph182111708

Cited by 5 publications

(2 citation statements)

References 37 publications

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“…The synergy among these three facets forms an interconnected whole. Recent scholarship on healthy cities within the domestic academic landscape has included summarizing domestic and international experiences, health evaluation index systems, and health optimization of the built environment [8]. In the context of contemporary advancements in artificial intelligence (AI), this technological paradigm has found application in urban planning.…”

Section: Literature Review 121 Street Space Based On Healthy Citiesmentioning

confidence: 99%

Artificial Intelligence and Street Space Optimization in Green Cities: New Evidence from China

Liu,

Qin,

et al. 2023

Sustainability

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In the context of the green economy and sustainable urban development, the rapid expansion of urban construction has given rise to pressing public health concerns, notably environmental pollution and the increased prevalence of chronic illnesses linked to swift urbanization. These urban health issues are escalating, prompting significant attention to the concept of creating “healthy cities”. Meanwhile, the planning and design of urban street space have a far-reaching impact on urban residents’ quality of life and health. Urban planners are facing challenges and need to follow the principle of a green economy while meeting the needs of residents for public activities and adapting to motor vehicle traffic. This study explores the optimization of urban street space to promote the harmonious coexistence between people and cars. This study actively explores the relationship between health, urban environment, and social background, focusing on promoting the harmonious coexistence between people and vehicles, especially the optimization goal of sharing urban streets. The study’s main goal is to design a road that can meet the needs of citizens’ public activities and accommodate motor vehicles, which conforms to the principle of a green economy. To achieve this, geographic information system (GIS) technology and a genetic algorithm (GA) are employed to optimize shared urban street spaces. Among them, GIS tools are used for spatial simulation to evaluate the effect of different shared street space configurations. The urban shared street space is gradually optimized through GA’s selection, crossover, and mutation operations. Simulation experiments are conducted to determine the relationship between street space utilization and the elements of a healthy city, ultimately striving to identify the optimal design parameters for shared street spaces. The research results reveal that the urban street space is optimized from the three aspects of shared allocation of facilities resources, replacement of land use functions, and mixed layout of facilities, and the utilization rate of urban streets is finally ensured to reach 53.43%, fully assuming the essential functions of urban streets. This innovative approach bridges the gap between urban development and public health, offering valuable insights for sustainable urban space planning and enhanced living environments within the framework of the green economy.

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Section: Literature Review 121 Street Space Based On Healthy Citiesmentioning

confidence: 99%

Artificial Intelligence and Street Space Optimization in Green Cities: New Evidence from China

Liu,

Qin,

et al. 2023

Sustainability

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“…The model makes an estimate of the technical efficiency of DMUs by decomposing the error term [ 15 ]. Examples comprise: The stochastic frontier production function approach was used by Sheng et al [ 16 ] and Thanassoulis et al [ 17 ] to measure and compare the effectiveness of medical and health services in Chinese provinces and cities. The SFA model was used to evaluate the effectiveness of the German healthcare system.…”

Section: Introductionmentioning

confidence: 99%

Can Comprehensive Medical Reform Improve the Efficiency of Medical Resource Allocation? Evidence From China

Sun,

Xu,

Adnan

et al. 2023

Int J Public Health

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Objectives: To evaluate the impact of comprehensive medical reform on the efficiency of medical resource allocation in China.Methods: This study employs the Slacks-Based Measure- Directional Distance Function (SBM-DDF) to estimate the efficiency of medical resource allocation (MRAE) in China, using panel data from 30 provinces during 2009–2021. Moreover, a multi-period Difference in differences (DID) model is developed to explore the effect of the comprehensive medical reform pilot (CMRP) strategy on efficiency of medical resource allocation in China.Results: The results show that the average value of China’s medical resources allocation efficiency is 0.861 during the sample period. Coastal area has a higher MRAE than that in the inland area. The DID results show that the comprehensive medical reform pilot strategy has a good, long-lasting impact on the efficiency of medical resource allocation. And the results remain valid after a series of robustness analysis. Additionally, the comprehensive medical reform policy has heterogeneous impact on efficiency of medical resource allocation. The promotion effect is only statistically significant in the eastern and central regions, the groups of higher MRAE and larger population size.Conclusion: China’s comprehensive medical reform policy can effectively promote the improvement of regional efficiency of medical resource allocation.

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Prevalence and Influencing Factors of Help-Seeking Behavior Among Women with Urinary Incontinence: A Systematic Review and Meta-Analysis

Liang,

Li,

Chen

et al. 2023

Journal of Women's Health

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The Unmet Medical Demand among China’s Urban Residents

Cited by 5 publications

References 37 publications

Artificial Intelligence and Street Space Optimization in Green Cities: New Evidence from China

Artificial Intelligence and Street Space Optimization in Green Cities: New Evidence from China

Can Comprehensive Medical Reform Improve the Efficiency of Medical Resource Allocation? Evidence From China

Prevalence and Influencing Factors of Help-Seeking Behavior Among Women with Urinary Incontinence: A Systematic Review and Meta-Analysis

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