Case Study Of Wuhan City Research Articles

Vaccination subsidy allocation under budget constraints considering the human interpersonal contact pattern and vaccine protection effect in epidemics

Vaccination subsidy is one of the most important measures to increase the willingness of people to be vaccinated for epidemic prevention and control. Given the budget constraint of vaccination subsidy and the different roles of various age groups population in the epidemic transmission process, a novel approach is proposed to optimize the utilization of the limited vaccination subsidy budget. First, an age-structured SIR model that integrates the human interpersonal contact pattern and vaccine protection effect is developed to simulate the epidemic trend under a certain vaccination state. Then, a decision model is constructed to determine the optimal vaccination subsidy allocation scheme for various age groups based on the age-structured SIR model. A case study of Wuhan City is used to verify the decision approach, and a series of sensitivity analyses are conducted. The result shows that the peak time of an epidemic is positively related to the total treatment cost for all the infections, and more subsidies should be allocated to the populations with higher interpersonal contact frequencies for epidemic prevention and control.

Dynamic simulation of street-level carbon emissions in megacities: A case study of Wuhan City, China (2015–2030)

Dynamic simulation of carbon emissions (CE) in megacities is crucial for regional carbon reduction management, however, limited simulation accuracy hinders its application in carbon reduction policies. An integrated modeling framework was developed based on high-resolution multi-source data to analyze the street-level carbon emissions in Wuhan from 2015 to 2030. First, we conducted principal components analysis on the 5 driving factors of carbon emissions (including point of interests, electricity consumption, gross domestic product, population, and nighttime light) to delineate single carbon emission character region (CECR). Then, a machine learning method was used to simulating CE and explaining the contributions of different CECRs. Multi-scenarios CE accountings also were conducted with CECR simulations and an improved cellular automata model. Results shows that: (1) CE in Wuhan showed strong aggregation during the historical period. The five CECRs formed a near-concentric circle. The changes of CECR reflected the enhancement of human activity. (2) CE gradually shifted from the central urban areas to the surrounding regions during the scenario period, showing significant spatial spillover effects. Administrative districts with lower CE density exhibited greater scenario variation in total carbon emissions, indicating a higher potential for carbon reductions. (3) The total CE of Wuhan (148.11 Mt) in 2030 is projected to increase by 42.6 % compared to 2015 in the baseline scenario, representing 105 % of the low scenario and 91 % of the high scenario. The growth rate of total CE in Wuhan significantly slows down (<1 %) under all scenarios. The high-resolution dynamic simulation of CE will provide an important scientific basis for low-carbon city management in China.

Urban Ecological Quality Assessment Based on Google Earth Engine and Driving Factors Analysis: A Case Study of Wuhan City, China

Ecological quality is a critical factor affecting the livability of urban areas. Remote sensing technology enables the rapid assessment of ecological quality (EQ), providing scientific theoretical support for the maintenance and management of urban ecology. This paper evaluates and analyzes the EQ and its driving factors in the city of Wuhan using remote sensing data from five periods: 2001, 2006, 2011, 2016, and 2021, supported by the Google Earth Engine (GEE) platform. By employing principal component analysis, a Remote Sensing Ecological Index (RSEI) was constructed to assess the spatiotemporal differences of EQ in Wuhan City. Furthermore, the study utilized the optimal parameter-based geographical detector model to analyze the influence of factors such as elevation, slope, aspect, population density, greenness, wetness, dryness, and heat on the RSEI value in 2021 and further explored the impact of changes in precipitation and temperature on the EQ in Wuhan. The results indicate that (1) principal component analysis shows that greenness and wetness positively affect Wuhan’s EQ, while dryness and heat have negative impacts; (2) spatiotemporal analysis reveals that from 2001 to 2021, the EQ in Wuhan showed a trend of initial decline followed by improvement, with the classification grades evolving from poor and average to good and better; (3) the analysis of driving factors shows that all nine indicators have a certain impact on the EQ in Wuhan, with the influence ranking as NDVI &gt; NDBSI &gt; LST &gt; WET &gt; elevation &gt; population density &gt; GDP &gt; slope &gt; aspect; (4) the annual average temperature and precipitation in Wuhan have a non-significant impact on the EQ. The EQ in Wuhan has improved in recent years, but comprehensive management still requires enhancement.

Application of geophysical methods in fine detection of urban concealed karst: A case study of Wuhan City, China

Application of geophysical methods in fine detection of urban concealed karst: A case study of Wuhan City, China

Integrating ecosystem services and ecological risks for urban ecological zoning: a case study of Wuhan City, China

The global ecosystem is facing a severe situation, with increasing ecological risks threatening ecosystem protection. The research is conducted based on land use data and socio-economic data of Wuhan during the three periods of 2000, 2010, and 2020. Various models including the ecosystem service value model, ecosystem risk model, bivariate spatial autocorrelation model, and CA-Markov model are employed to calculate the spatial and temporal evolution as well as the correlation of ecosystem service values and ecological risks in Wuhan City over the past 20 years. Moreover, the study aims to predict the ecosystem service values and ecological risks for the year 2030 and establish an ecological zoning framework accordingly. The results show that: (1) The value of Wuhan’s ecosystem services show a trend of first decreasing and then increasing in the past 20 years. (2) The ecological risks of Wuhan show an overall upward trend, and the ecological risks in the study area are generally characterized by “high in the middle and low around”. (3) There is a significant positive spatial correlation between the value of ecosystem services and ecological risks in Wuhan. The overall ecological risk in the study area in 2030 is relatively alleviated compared with the previous two periods, and the ecological zones with a larger proportion are “low-low” and “low-high” zones. This study can provide critical information for building resilient cities.

Optimization of spatial layout based on ESV-FLUS model from the perspective of “Production-Living-Ecological”: A case study of Wuhan City

As the ecological problems deteriorated through the progress of modernization, exploring the optimization strategy from the ecological perspective is of great significance. Ecosystem Services (ESs) bridge the ecological and social systems, and planning geographical spatial patterns with consideration of reliable Ecosystem Service Value (ESV) assessment can improve land use efficiency and harmonize the human-environment relationship. This study aims to explore the spatial layout optimization strategy under the "Production-Living-Ecological" (PLE) space perspective. Taking Wuhan as the study area, we constructed ecological scenarios according to the synergies and trade-offs mechanism among different ecosystem services, and further combined the scenario restraints with economy, population, traffic, and environment factors to simulate the future geographical spatial layout of Wuhan. The methods of Ecosystem Service Value (ESV) assessment, Future Land-Use Simulation (FLUS) model, GIS technologies and scenario analysis were applied in this study. In this study, we evaluated the ESV of Wuhan and then established a natural growth scenario and two ecological scenarios to simulate the spatial layout of Wuhan in 2035. Meanwhile, we evaluated the carbon emissions to further examine the contributions of our ecological scenarios. The results showed that: (1) From 2010 to 2018, the spatial layout transformation of Wuhan was primarily from ecological to production space, and the high ESV area was mainly in the East Lake District. (2) Without effective consideration for ecological constraints, the living and production space in Wuhan will expand excessively in 2035. (3) The regulation-provision scenario had the highest ecosystem service value and the smallest carbon emissions. In conclusion, introducing ecosystem services into the FLUS model impact factor system is conducive to improving the ecological benefits of China's spatial pattern under scenario simulations.

Multi-scenario simulation and risk analysis of a water-energy coupled system: A case study of Wuhan City, China

Water and energy are essential resources to guarantee the normal functioning of human society. The intimately and highly interwoven relationship between water and energy in contemporary times has led to the manifestation of its joint risks. In this study, a framework composed of system dynamics model, scenario simulation, and copula analysis is constructed for the prediction of the water-energy coupled system. The water and energy demand from 2001 to 2035 under four scenarios was simulated and the joint risk of water and energy was appraised with Wuhan city as the research object. The results show that: (1) The relative error between the statistical and simulated values in the system dynamics model is basically within 10%, indicating a good fitting effect of the model. (2) The joint risk of water and energy risk in Wuhan peaks in 2025 under the business-as-usual scenario, and the simulation results under different scenarios suggest that the combination of increased expenditure in energy saving and environmental protection, and industrial structure optimization effectively mitigates the joint risk of water and energy, while ensuring economic vitality and demographic scale. (3) This study provides holistic and valuable insights for policy makers to bolster the sustainable development of Wuhan and serves as a stepping stone for future exploration of the water-energy coupling relationship and its joint risk analysis.

Assessment of the urban waterlogging resilience and identification of its driving factors: A case study of Wuhan City, China

With rapid urbanization and extreme rainstorm events associated with climate change, urban waterlogging has become one of the most frequent and severe disasters globally. In this study, a multi-dimensional and multi-process index system based on the Pressure-State-Response (PSR) framework was developed to measure the level of urban waterlogging resilience (UWR). The spatial distribution of UWR on a block scale was explored based on the entropy weight method with the natural breakpoint method (EWM-NBM) in the central district of Wuhan City, China. In addition, the effects of the runoff control facilities and early warning measures on UWR were also quantified. Further, the Geodetector was used to investigate the main driving factors of UWR and their interactions. Results showed that the constructed index system for UWR based on the PSR framework performed reasonably, and the EWM-NBM was validated to be effective in the integrated assessment. In terms of the validation results, 82.72 % of the recorded waterlogging points belonged to high and very-high risk levels. The spatial heterogeneity of UWR was significant in the study area where the higher-level UWR mainly appears in the areas near the undeveloped suburban and water bodies (lakes and rivers), and the lower-level UWR was concentrated in central urban areas with more impervious surfaces. There was a clear increasing trend in UWR after the implementation of runoff control facilities and early warning measures, but its spatial distribution remained almost invariant. Among all the indexes, the impervious surface percentage had the strongest (69.58 %) explanatory ability for the UWR, and mean annual precipitation (15.51 %), GDP (14.03 %), and population density (11.98 %) also demanded attention. Most driving factors of UWR showed nonlinear interactions. This research could provide a benchmark for urban planning to enhance UWR to mitigate the waterlogging within the main urban area.

Spatial and temporal characteristics of elderly people’s metro travel behavior and its non-linear relationship with the built environment: A case study of Wuhan City

Spatial and temporal characteristics of elderly people’s metro travel behavior and its non-linear relationship with the built environment: A case study of Wuhan City

Spatial Pattern and Influencing Factors of Basic Education Resources in Rural Areas around Metropolises—A Case Study of Wuhan City’s New Urban Districts

Basic education resources are basic urban and rural social public security resources, and their spatial distribution is an important issue related to people’s livelihoods and social justice. Taking Wuhan as a case study, this paper analyzed the spatial distribution characteristics of rural basic education resources based on the methods of the average nearest neighbor index, imbalance index, kernel density analysis and two-step floating catchment area and then used geographic detector analysis to detect its influencing factors. The following findings were obtained: (1) Rural kindergartens and elementary schools in Wuhan City’s new urban districts showed a clustered distribution pattern, while secondary schools showed a uniform distribution trend. The spatial distribution of rural basic education resources is poorly balanced, with a tendency to cluster in Huangpi District, Xinzhou District and Caidian District; the overall spatial distribution density of rural basic education resources showed the distribution characteristics of “block-like clustering and multicenter development”. (2) The spatial accessibility of kindergartens showed a spatial pattern of “large dispersion and small clustering”, with multiple high-value clustering areas; and the accessibility of elementary and secondary schools showed a spatial pattern of high in the south and low in the north. (3) The population, economy and education development level are the main factors affecting the spatial distribution of rural basic education resources, while the influence of infrastructure construction is weak. The core influencing factors of the spatial distribution of each type of basic education resource are both consistent and different. According to the interaction factor detection, the spatial distribution of rural basic education resources in Wuhan City’s new urban districts is the result of the combined effect of multiple factors.

Urban green corridor construction considering daily life circles: A case study of Wuhan city, China

Urban green corridors are the vital link connecting urban blue-green space and provide ecosystem services. Although numerous studies have been carried out to identify urban green corridors, few studies have focused on the demand of both urban residents and species for blue-green space from the perspective of daily life circles, which are the basic unit of requirements in city area. In this study, we proposed an improved method that considered three types of daily life circles and further integrated the socioeconomic factors in daily life circles that affect the stability of green spaces into the construction of green corridors. We adopted the city central area of Wuhan as a case study to apply the evaluation method. The results indicated that the three types of daily life circles were close to the practical life. Socioeconomic factors in the daily life circles affected the stability of blue-green space; thus, it is necessary to integrate them into the green corridor construction. Accordingly, we improved a strategy to construct green corridors based on daily life circle theory. Our method extends the green corridor construction methodology, and the research results can provide a significant reference for urban planning to build more reasonable green corridors to move toward both biodiversity and satisfy the demand of residents and species for blue-green space.

Structural Evolution and Stability Simulation of Wetland Ecological Network: A Case Study of Wuhan City, China

Structural Evolution and Stability Simulation of Wetland Ecological Network: A Case Study of Wuhan City, China

Study on the Spatial Interaction between Urban Economic and Ecological Environment—A Case Study of Wuhan City

In order to study the interactive relationship between urban economic and ecological environment, taking Wuhan as an example, Landsat and MODIS remote sensing satellite data and social and economic data were fused with multisource data, and multidimensional indicators were selected to construct the comprehensive evaluation index system of urban economic and ecological environment. The weights were determined by combining subjective and objective methods. Then, the decoupling elasticity coefficient method and spatial autocorrelation model were used to evaluate the dynamic relationship and spatial relationship between economic development and ecological environment in Wuhan from 2014 to 2020. The results showed that there was an interaction between the urban economic and the ecological environment in Wuhan. The ecological level index had a spatial effect, the adjustment of industrial structure had a positive effect on the improvement of the ecological level, and the improvement of the ecological level was also helpful to promote economic development. The typical districts of Huangpi District, Xinzhou District, Jiangxia District, Hannan District, Caidian District, and Hongshan District had superior location and ecological advantages, as well as high development potential. Lastly, on the basis of the empirical analysis results, policy suggestions are made from four aspects: regional differentiated construction, green development, energy consumption, and wetland construction.

Land Use Transition and Effects on Ecosystem Services in Water-Rich Cities under Rapid Urbanization: A Case Study of Wuhan City, China

Ecosystems can provide ecosystems service for human society. Exploring the impact of land use transition of water-rich cities on ecosystem service can obtain a large amount of scientific data, and its findings have certain significance for building a sustainable city land use transition pattern. This study takes Wuhan, a water-rich city, as the study area, combines remote sensing image data and macro-economic data in the region from 2000 to 2020, and uses spatial analysis methods, the equivalent factor calculation method, and hot spot analysis to portray the spatial-temporal patterns of land use transition in Wuhan and its effect on ecosystem service values. The results show that: (1) farmland, water, and built-up land are the main land use types in Wuhan, and the continuous expansion of built-up land area is an important factor in the decrease of farmland, wetland, and grassland areas; (2) The change in ecosystem service values in Wuhan is influenced by the fluctuation of water area, and the overall ecosystem service values in Wuhan increased from CNY (Chinese Yuan) 56.498 billion (USD 8.47 billion) in 2000 to CNY 56.749 billion (USD 8.508 billion) in 2020, with an increase of CNY 251.3 million (USD 37.676 million) between 2000 and 2020. Among them, the ecosystem services values of water increased by CNY 1.223 billion (USD 183.358 million), and the ecosystem service values of its assumed hydrological regulation function also increased by CNY 995.7 million (USD149.28 million) during this period; (3) In the period 2000–2020, the hotspot areas for the value supply of ecosystem services were mainly distributed in Jiangxia, Hongshan, Hannan, Xinzhou, Huangpi and some areas of Caidian, which are covered with a large proportion of water, while the cold spots are mainly distributed in Jiang’an, Jianghan, Qiaokou, and Qingshan districts, which have more built-up land, and Huangpi, Caidian, Jiangxia, and Xinzhou districts, which have more farmland. Sustainable land planning solutions should take into account typical regional land use transition patterns and incorporate them into smart land planning practices. This study can provide key information for smart land planning.

Pre-location for temporary distribution station of urban emergency materials considering priority under COVID-19: A case study of Wuhan City, China

In order to avoid the huge hidden dangers caused by emergencies, it is particularly vital to make a reasonable pre-location and layout of emergency logistics facilities. A multi-objective pre-location model of temporary distribution station for emergency materials was built, which considered the problems of information shortage and uncertain demand after the incident with minimum time, maximum time satisfaction, minimum delivery cost and psychological trauma to the masses. The priority of candidate points was solved by comprehensive evaluation methods, the nominal demand of served points was estimated by triangular fuzzy number theory (TFN), and the location model was solved by non-dominated sorting genetic algorithm. In addition, the optimal schemes without priority and considering it were compared and analyzed, the practicability of the model is verified by concrete examples. The results show the time and cost reduction of 7.754% and 25.651%, an increment of total satisfaction value of the scheme considering location priority. Therefore, the model and algorithm provide theoretical support and practical ideas for solving the location problem, which can better complete the task of the location problem for temporary distribution stations of urban emergency materials.

Characteristics and Influencing Factors of Spatial Differentiation of Market Service Industries in Rural Areas around Metropolises—A Case Study of Wuhan City’s New Urban Districts

Market services industries are closely related to residents’ lives, and its spatial distribution has an important impact on satisfying residents’ consumption needs and promoting economic development. In recent years, with the rapid development of urban–rural integration and the gradual implementation of a rural revitalization strategy, rural areas around metropolises have become the “frontier” of urban geographic expansion, causing the rural market services industries to specialize, commercialize, and modernize. Taking Wuhan as a case study, the spatial distribution characteristics and influencing factors of the market services industries were measured using the average nearest neighbor index, the kernel density estimate, the spatial correlation analysis, and the Geodetector method. The results are as follows. (1) The market services industries in Wuhan’s new urban districts, as a whole and individually, showed characteristics of agglomeration. The market services industries overall formed two high-density areas and multiple agglomeration areas, and the high-density areas of different types of market services industries showed characteristics of partial spatial overlap. (2) There was a significant positive spatial correlation in market services industries, as a whole and individually. Among them, the life services industry had the strongest spatial correlation, while the accommodation services industry had the weakest. (3) Market demand and traffic conditions were the core factors influencing the distribution of the market services industries in Wuhan’s new urban districts, followed by urbanization and economic levels; and tourism conditions had a lower impact. Each detector had a different impact on the spatial distribution of different market services industries, and the interaction research showed that the spatial distribution of the market services industries was the result of a combination of multiple factors. This research provides a future development direction for market service industries in rural areas.

Assessment of the Urban Waterlogging Resilience and Identification of its Driving Factors: A Case Study of Wuhan City, China

Assessment of the Urban Waterlogging Resilience and Identification of its Driving Factors: A Case Study of Wuhan City, China

The equity of urban park green space accessibility in large Chinese cities: A case study of Wuhan City

The equity of urban park green space accessibility in large Chinese cities: A case study of Wuhan City

Changes and Vulnerability Analysis of Carbon Storage in the National Central City Based on Land Use/Land Cover: A Case Study of Wuhan City

Changes and Vulnerability Analysis of Carbon Storage in the National Central City Based on Land Use/Land Cover: A Case Study of Wuhan City

The equity of urban park green space accessibility in large Chinese cities:A case study of Wuhan City

The equity of urban park green space accessibility in large Chinese cities:A case study of Wuhan City