Supply Imbalance Research Articles

A Spatial Mapping for Profitability Consideration of Rental Houses in South Jakarta

Abstract: The population of South Jakarta reached 2.235.606 people as of 2023 (BPS, 2024), with a percentage of occupying owned residential buildings of 51,36% (BPS, 2022). Estimates indicate that only approximately 1,148,207 people currently reside in private assets. Rental prices need to be considered based on the strategic location to minimize the risk of rental house business owners suffering losses. The imbalance in the supply and demand of the residential market will cause the availability of land in productive areas to be increasingly limited. The existence of an imbalance in market supply and demand can be an opportunity for prospective property entrepreneurs in the field of rental houses. The analysis was carried out by calculating income predictions using multiple linear regression methods and spatial analysis between rental houses and the accessibility of public facilities in South Jakarta City. The results obtained indicate that the accessibility of public facilities in Setia Budi Sub-district provides an opportunity for high income. Keywords: Boarding House, Income Rediction, Multiple Linear Regression, Spatial Analysis

Spatiotemporal Changes and Driving Mechanisms of Ecosystem Service Supply–Demand Contradictions Under Urbanization

Clarifying the driving mechanisms of ecosystem service (ES) supply and demand under urbanization is of significant importance for urban ecological planning and management. However, how the balance of ES supply and demand and its driving mechanisms vary with the degree of urbanization has been little studied. In this study, we analyzed the spatiotemporal changes and the correlations between ES supply and demand and the degree of urbanization in the Zhengzhou Metropolitan Area (ZZMA) from 2000 to 2020 and further explored the driving mechanisms behind these changes. The results showed that, (1) between 2000 and 2020, the ZZMA experienced a deficit in comprehensive ES supply and demand, and regions with rapid urbanization development were more likely to trigger imbalances in ES supply and demand; (2) the spatial mismatch between low–high ES supply and demand was primarily distributed in the built-up areas of various cities, while the high–low spatial mismatch was mostly found in forest and grassland areas; (3) the comprehensive urbanization level of the ZZMA was spatially negatively correlated with the ratio of ES supply and demand. Regions with lower ES balance were more susceptible to disturbances caused by urbanization; (4) population density was the key factor influencing the supply and demand of carbon sequestration, oxygen release, water conservation, and food provision services, while the proportions of forest land and construction areas had the greatest influence on the supply and demand of air purification and leisure services. It is important to ensure the ecological status of the northwestern, southwestern, and central mountainous and forested areas; maintain the agricultural status of the main grain-producing areas in the eastern plains; strengthen ecological restoration and green infrastructure in built-up areas; and formulate differentiated management policies to promote the sustainable supply of ES and safeguard the ecological security of the region.

Supply and demand analysis and security pattern optimization of flood regulation ecosystem services adapted to the complex terrain of coastal estuaries: A case study in Xiamen

The flood risk in coastal areas has been exacerbated by global climate change. Research on flood risk assessment is emerging from the perspective of supply and demand for flood regulation ecosystem services (FRES). However, there are still limitations in the evaluation of lowland regulation, implementation of intelligent algorithms, comparison of multi-grain FRES supply and demand, and overall optimization of security pattern. Therefore, we propose a comprehensive FRES supply assessment method that incorporates soil and vegetation, lowland, and water regulations. Additionally, we introduce the random forest model to enhance the FRES demand assessment approach. Two grain sizes of the sub-catchment area and grid unit are used to compare FRES supply and demand. Using Xiamen as a case study, this research unveils the following findings: (1) Significant disparities exist between the assessment outcomes of FRES based on multiple types of regulatory services and those solely considering soil and vegetation regulation. The areas with high FRES supply extend beyond upper mountain forests to include local lower plains exhibiting strong capabilities for lowland or water system regulation. (2) Consistent yet distinct results are observed when comparing two grain sizes. Imbalances in supply and demand occur in estuaries, bays, and densely built-up regions. Sub-catchment units exhibit wider distribution and concentration, while grid units display more dispersed patterns. (3) In terms of in-situ regulation, 26.77 km2 ecological protection area, 9.85 km2 ecological restoration area, and 119.59 km2 construction land flood control intervention area are demarcated. From a directional regulation perspective, 22 FRES corridors connecting source and sink areas along with 24 pinch points are identified. Optimizing security patterns through coordinated management of FRES supply and demand can enhance the resilience of coastal estuaries.

Management of public financial debt in conditions of unbalanced supply and demand of energy resources

Financial debt management in the context of the energy crisis is an urgent problem that requires a strategic approach in countries with an unstable energy system. The imbalance between the supply and demand of energy resources generation creates a trap in which the growth of energy shortages leads to increased import costs, higher prices for end consumers and increased financial burden on the state. This, in turn, can provoke inflationary pressure, a decrease in the competitiveness of the national economy, an increase in public debt and social tension due to an increase in the cost of living and a decrease in the level of energy security. The research used the methods of scenario analysis, descriptive statistics, econometric, monographic and comparative analysis. The purpose of the article is to analyze the impact of energy crises on the state of state financial support, to determine ways to minimize risks and ensure financial stability. In the course of the study, the degree of influence of the imbalance of demand and supply of energy resources on the state financial debt was determined through the use of such tools as: analysis of market conditions, assessment of the level of demand and supply for energy resources. The paradigm of an integrated approach to the management of public debt in the context of energy crises is characterized, which is based on an integrated, multidimensional analysis and management of interrelationships between various economic, financial, social and political factors. It is emphasized that consideration of the energy sector should not take place in isolation, but in the context of its interaction with the financial capabilities of other sectors of the economy. Practical recommendations include risk assessment models related to energy crises and methods of stabilizing public finances, which can be used in the operational management of the state's financial debt. The method of integration and coordination of energy, economic, fiscal and social indicators is proposed for determining effective financial instruments and mechanisms for optimizing budget expenditures. It is concluded that in the conditions of imbalance of energy demand and supply, management of financial debt requires a strategic approach based on investments in clean energy, improvement of energy efficiency and accurate forecasting

Labour Market of Ukraine and Meeting Post-War Workforce Supply Market Demands

Introduction. Full-scale military actions in Ukraine increased the dynamics of changes in the labour market, caused significant uncertainty in influencing factors, and increased the imbalance of supply and demand in the labour market, which was characterised as a crisis even before the invasion. This strengthened the need for a relevant assessment of the needs of the Ukrainian labour market and the possibility of its personnel support and management of labour resources, taking into account the risks for the country's economy and post-war reconstruction. Aim and tasks. The purpose of this article is to evaluate the labour market of Ukraine in the post-war period and substantiate ways of meeting the market's personnel needs using the example of the construction and IT industries. The tasks of this study are to identify the factors affecting the labour market in the post-war period, assess the dynamics of changes in the balance of demand and supply in the labour market in the post-war period, and develop a mathematically formalised approach to the adaptive assessment of the labour market. Results. The developed mathematically formalised approach to assessing the imbalance of the labour market in individual areas allowed the stabilisation of the demand and supply of the IT labour market in 2026 at a level 1.496 times lower than the maximum in 2023. In the construction industry, differentiation in sectoral priorities of post-war reconstruction has been determined, as evidenced by the expected shortage of personnel in this industry, which is 2.15 times higher than the indicator for all industries. This is also indicated by the differentiation in the demand for qualified workers from 20% to 60% for large and small construction enterprises. Conclusions. The identified reasons for the uncertainty of factors affecting the labour market (losses in the quality of labour resources and forced migration) proved that post-war reconstruction would require an adaptive approach to managing labour resources at all levels. The lack of personnel in the post-war period will require a change in the concept of ensuring the competitiveness of domestic enterprises by using cheap labour. It was determined that the demand for qualified personnel in the post-war period for all industries would grow, which is confirmed by the dynamics of the index of change of employees, which is 30% higher for qualified workers than unskilled workers. Significant differentiation by micro-specialty influences the gap between demand and supply, which does not consider the market's needs.

Porous Organic Polymer-Based Nanocomposites for Hypoxia Relieving and Enhanced Chemotherapy in Hepatocellular Carcinoma.

Uncontrolled proliferation and altered metabolism of cancer cells result in an imbalance of nutrients and oxygen supply, and persuade hypoxia. Hypoxia, in turn, activates the transcription gene HIF-1α, which eventually upregulates the efflux transporter P-gp and induces multidrug resistance (MDR). Thus, hypoxia leads to the development of resistance to conventional therapies. Therefore, the fabrication of a nanoscale porous system enriched with upconversion nanoparticles to target cancer cells, evade hypoxia, and enhance anticancer therapy is the key goal of this article. Herein, upconversion nanoparticles are embedded in a nanoscale porous organic polymer (POP) and further conjugated with a targeting moiety and a catalase molecule. The nanoscale POP embedded in UCNPs is generated at room temperature. The targeting ligand, lactobionic acid, is attached after polymer coating, which effectively targets liver cancer cells. Then, catalase is grafted effectively to produce oxygen. Endogenously generated oxygen alleviates hypoxia in liver cancer cells. The drug- and catalase-loaded composite exhibit greater cytotoxicity in hypoxic liver cells than in normal cells by overcoming hypoxia and downregulating the hypoxia-inducible factors.

Hydrogen storage planning robust to year‐round net load fluctuation

AbstractLong‐term hydrogen storage systems are considered a solution to the long‐term supply imbalance caused by different seasonal characteristics in renewable energy output and load. However, most existing planning models assume the whole year‐round net load series is known in advance and the optimal operation sequence of long‐term storage is derived accordingly. This assumption underestimates the necessary long‐term storage capacity because of the difficulty of accurate fine‐grained long‐term forecasting. This work proposes a long‐term hydrogen storage planning framework that is robust to year‐round net load fluctuation. The daily average component from the historical net load series is first derived to formulate the long‐term operation scenario set. On this basis, a robust planning model is developed where the trend of long‐term storage operation is forced to be identical for all long‐term operation scenarios and not to respond to one specific scenario with full information of the net load sequence. The results show that the planning results given by the proposed framework are more robust in real‐time operation with less load shedding.

Adenine nucleotide content and activity of AMP catabolism enzymes in the kidney of rats fed on diets with different protein and sucrose content

Background. Excessive consumption of sucrose or protein deficiency in the diet can induce metabolic disorders in the kidney, whose functioning requires significant ATP energy expenditure. The study investigated the levels of the purine nucleotides ATP, ADP, AMP, and the activity of the enzymes FoF1-ATPase, 5′-nucleotidase, and AMP deaminase in the kidneys of rats exposed to different levels of protein and sucrose in their diet. Materials and Methods. The research was conducted on white non-linear rats, which were kept under different dietary regimens for a period of 4 weeks. Quantitative evaluation of the ATP, ADP, and AMP content was performed by thin-layer chromatography on Silufol sheets. FoF1-ATPase activity was determined by the accumulation of Pi. 5′-nucleotidase activity was measured based on the amount of inorganic phosphorus released in AMP hydrolysis. AMP deaminase activity was determined by the accumulation of ammonia. Results and Discussion. Research results revealed that in the mitochondria of the animals’ kidneys under conditions of low-protein diet, a significant reduction in AMP content was observed compared to the control, while ATP and ADP content remained unchanged. Simultaneously, the activities of 5′-nucleotidase, AMP deaminase, and FoF1-ATPase in the kidneys of animals on a low-protein diet were maintained at control levels. However, in rats maintained on a low-protein/high-sucrose diet, depletion of all adenine nucleotides is observed against an increase in the hydrolytic activity of FoF1-ATPase, AMP deaminase, and 5′-nucleotidase activities. The 5′-nucleotidase activity in animals of this group reaches maximum values in comparison with the control, indica­ting an enhanced AMP degradation mediated by 5′-nucleotidase in the conditions of low-protein/high-sucrose diet consumption. Conclusion. Excessive sucrose consumption in the context of dietary protein deficiency is accompanied by a depletion of the adenine nucleotides pool in the mitochondrial fraction and a significantly increased activity of purine catabolism enzymes in the cytosolic fraction of rat kidneys. This may result in an imbalance in the energy supply of renal cells. The obtained results open up prospects for developing a strategy for correc­ting energy metabolism disorders in the conditions of nutritional imbalance.

Hierarchical Analysis of Foodstuffs and Housing in the Formation of the Final CPI After the Covid Pandemic -19 Early 2019-2021 in Ternate City

The review of the study on Edibles and Ownership of very expensive housing will be felt with the continuous high increase in general prices which results in the price of goods that are increasingly scarce in the market, these expensive all the imbalance of demand and supply does not become constant. The economy is currently spinning during the covid-19 pandemic, Social Limitations are the main cause while on the other hand, health is very important when hit by the covid-19 attack. All economic and health joints become sook (stagnant) in the sense that everyone needs rest. However, everyone also needs food, so everyone needs a job to earn income which leads to social welfare, food and board. The city of Ternate is Ternate is currently facing the challenges of high food staple prices and a strong demand for housing, which have made market conditions increasingly unstable. This situation necessitates balanced, measurable policies from all stakeholders in both the short and medium term to stabilize staple food prices. The city also grapples with complex issues such as high transportation costs and long distribution lines, all of which demand effective solutions to control prices and ensure market stability.

Melting performance improvement of phase change materials with thermal energy storage unit using nanoparticles

The world is facing two major problems today, as imbalance of supply and demand of the energy and the continues deterioration of the environment. Latent thermal energy storage with phase change material plays a vital rule in resolving this problem. The current study investigates the numerical simulation of phase change material with novel fins configuration in the triplex-tube storage unit. But their low thermal conductivity is the main problem by affecting the energy storage. To enhance the heat transfer rate within the system, novel longitudinal triangular and traditional rectangular fins with a combination of hybrid nanoparticles (Cu-TiO2) are employed. In summary, utilizing novel fins to improve heat transfer rate in conjunction with nanoparticles is highly effective for improving the phase change material melting process in thermal energy storage systems. The usage of nanoparticles speeds up the melting rate 33.5%- Case A, 20%-Case B, 19.4%-Case C, and 18% for Case D. Moreover, when compared to rectangular-shaped fins, the use of longitudinal triangular -shaped fins accelerates the PCM melting rate. For instance, the melting rate in Case C (fins with longitudinal triangular form) is higher than in Case F (fins with a rectangle shape).

An incentive strategy for the retention of impatient passengers in ride-sourcing markets

A prominent problem plagued the ride-sourcing service providers is the instantaneous real-time demand–supply imbalance. This entails a terrible user experience and causes adverse sustainable results such as customer churn for the platform, which will damage both drivers’ income and the platform revenue. To reduce passenger cancellation caused by extended wait times, we propose an incentive-based queue management strategy —a discount method— to enhance the waiting experience and encourage passengers to stay in a post-peak period . We formulate the waiting process for a ride-sourcing service as an M/M/c+M queue system with impatient passengers, and model passengers’ reneging behaviors by characterizing the impact of discounted trip fare and updated queue information on their travel utilities. Based on such a behavior model, we can analyze the effect of the discount strategy on the queueing process, which allows us to maximize the platform’s profit growth by tailoring the discount strategy. Our result shows that the discount strategy can effectively increase the platform’s profit. Under the specific condition of the discount strategy, the earlier the strategy is implemented in the post-peak period, the higher platform profit can be achieved. Moreover, we explore the impact of queueing system parameters on the performance of the discount strategy and gain some interesting insights.

Identification and Prioritization of Thermal Environment Regulation Hotspots in Chengdu

Temperature condition in urban areas has a substantial impact on the well-being and safety of both urban residents and the ecosystems. Green spaces are crucial for mitigating urban heat impacts, and hence, their balanced supply and demand is essential. Due to rapid urbanization, Chengdu has had a significant increase in population, which has had an impact on the dynamic changes in its green space environment, making it a suitable case for our study. This study employs the high-temperature vulnerability framework to classify urban green spaces as entities that regulate the thermal environment. This classification is based on the analysis of ecosystem service supply and demand. The approach creates an assessment framework for managing the balance between the need for and availability of thermal environment regulation in urban green spaces. The study utilizes matching and a priority index to identify places in Chengdu where there are imbalances between supply and demand for services. Our findings suggest: (1) The demand for regulating the thermal environment in Chengdu’s green spaces is defined by three indices: thermal exposure, thermal sensitivity, and thermal adaptability. High-demand areas account for a relatively small proportion and exhibit a pattern of “global diffusion and local concentration”. (2) The supply capacity in Chengdu is determined by both the size of green spaces and the surface temperature. High-supply capacity areas are mainly located in the southeastern part of the city, and their distribution pattern is similar to that of green spaces. (3) The level of correspondence between the supply and demand in Chengdu varies significantly and can be classified into three categories: “insufficient supply and high demand”, “insufficient supply and low demand”, and “abundant supply and low demand”. Out of these, 32 units are located in the area with a shortage of supply, while 6 units are in the area with a significant imbalance of low supply and high demand. (4) The green space thermal environment regulation in Chengdu is categorized into four priority intervention levels: priority I, II, III, and IV zones. The priority IV zone, which has a high intervention priority level, consists of two units primarily located in the Inner Ring Qingyang, Inner Ring Jinjiang, Cuijiadian, Caotang, and Donghu, which are deemed crucial for needing prioritized regulation.

Double-layer optimal scheduling method for solar photovoltaic thermal system based on event-triggered MPC considering battery performance degradation

Solar photovoltaic thermal system (SPTS) can fully tap solar energy resources to realize thermal and electric supply for users simultaneously, but the volatility and uncertainty of renewable energy and load cause the imbalance of energy supply. This paper proposes a multi-time scale optimal scheduling method for SPTS based on event-triggered model predictive control (ET-MPC) considering battery performance deterioration. Firstly, SPTS is divided into day-ahead and day-in optimization layers from different time scales. Day-ahead scheduling takes the minimization economic cost as the optimization function to obtain pre-scheduling plan, and day-in scheduling adapts rolling optimization scheme based on model predictive control (MPC) to reduce power fluctuations and achieve optimal scheduling adjustment. Moreover, the battery performance decay parameter is introduced into the MPC model and embedded into the optimization problem to prolong the cyclic life deterioration, and an event-triggered mechanism is introduced into MPC to improve the computational efficiency and reduce the communication frequency. Finally, the results show that the proposed double-layer scheduling method improves 4.15 %, 66 % and 13.39 % respectively regarding cost, power fluctuation and battery maintenance, and improve the calculation efficiency of 48.89 % compared with standard MPC method, which indicates that the proposed method has good economy, stability and execution efficiency.

Closing the Chasm: Understanding and Addressing the Anesthesia Workforce Supply and Demand Imbalance.

The imbalance in anesthesia workforce supply and demand has been exacerbated post-COVID due to a surge in demand for anesthesia care, especially in non-operating room anesthetizing sites, at a faster rate than the increase in anesthesia clinicians. The consequences of this imbalance or labor shortage compromise healthcare facilities, adversely affect the cost of care, worsen anesthesia workforce burnout, disrupt procedural and surgical schedules, and threaten academic missions and the ability to educate future anesthesiologists. In developing possible solutions, one must examine emerging trends that are affecting the anesthesia workforce, new technologies that will transform anesthesia care and the workforce, and financial considerations, including governmental payment policies. Possible practice solutions to this imbalance will require both short- and long-term multifactorial approaches that include increasing training positions and retention policies, improving capacity through innovations, leveraging technology, and addressing financial constraints.

Dynamic Changes in Ion Channels during Myocardial Infarction and Therapeutic Challenges.

In different areas of the heart, action potential waveforms differ due to differences in the expressions of sodium, calcium, and potassium channels. One of the characteristics of myocardial infarction (MI) is an imbalance in oxygen supply and demand, leading to ion imbalance. After MI, the regulation and expression levels of K+, Ca2+, and Na+ ion channels in cardiomyocytes are altered, which affects the regularity of cardiac rhythm and leads to myocardial injury. Myocardial fibroblasts are the main effector cells in the process of MI repair. The ion channels of myocardial fibroblasts play an important role in the process of MI. At the same time, a large number of ion channels are expressed in immune cells, which play an important role by regulating the in- and outflow of ions to complete intracellular signal transduction. Ion channels are widely distributed in a variety of cells and are attractive targets for drug development. This article reviews the changes in different ion channels after MI and the therapeutic drugs for these channels. We analyze the complex molecular mechanisms behind myocardial ion channel regulation and the challenges in ion channel drug therapy.

Effect of multi‐tubes and eccentricity on melting performance of honeybee wax thermal energy storage system: A comprehensive numerical study and experimental validation

AbstractWhen it comes to solar thermal power systems, a latent heat energy storage unit is one possible solution to the imbalance in supply and demand. On a shell‐tube type heat storage system, computational and experimental research was done to determine how to charge a heat storage system using honeybee wax‐biodegradable phase change material. This paper examines the impact of single, double, and triple inner heat transfer fluid tubes on the melting properties of bee wax in relation to vertical and horizontal eccentricity. Through the experimental examination of a lab‐scale prototype, the computational model was verified. A computational model was used to investigate the impact of eccentricity on different configurations for the melting process. Utilizing multiple tubes significantly shortened the charging time, according to the system analysis. In a vertically downward direction, melting time reduced as eccentricity increased. Compared to the single tube concentric case, the maximum melting time reduction for the single‐, double‐, and triple‐tube cases was 63.7%, 67.0%, and 68.34%, respectively.

Modern problems of plasma donation services: global experience in solving them

As an analysis of foreign literature on donation has shown, the global market for therapy with drugs from human plasma is growing, which leads to the need for large volumes. With significant geographic imbalances in the global plasma supply and the dependence of most countries on plasma supplies from the United States, the most vulnerable are low- and middle-income countries, where the challenge of meeting the demand for plasma products requires improvements to regional plasma donation systems. An effective tool for the development of plasma collection services is compliance with the standards of plasma donation services, the development of voluntary free plasma donation, and the optimization of donor recruitment and retention processes.

Does Russian gas have a future in China?

The article presents an analysis of the current state and forecasts for the long-term development of the Chinese natural gas market, as well as prospects for increasing the supply of fossil fuels to this market. It is expected that by the end of 2030, China can catch up and overtake Europe in gas consumption. By 2030, the total demand for gas in the Middle Kingdom will be 390–560 billion cubic meters. m, which is almost 1.5 times higher than the 2022 level. During a period of economic slowdown, the imbalance of supply and demand on the global hydrocarbon market leads to destabilization. In order to predict such situations in advance, specialists from international and Russian organizations (International Energy Agency, BP plc, Institute of Energy Research of the Russian Academy of Sciences, Institute of Energy Economics of Japan) and consulting companies (IHS Markit) periodically prepare works on the evolution of global energy markets and the consequences for the largest countries. gas consumers. Almost all studies are not yet ready to name the period of peak gas demand in China in the foreseeable future, which gives grounds to call the 21st century the century of gas transformation.

Modeling of heat and solute transport in a fracture-matrix mine thermal energy storage system and energy storage performance evaluation

Repurposing groundwater-filled mine cavities for thermal energy storage has demonstrated promising potential to buffer the imbalance of energy supply and demand. Fractured formations are widespread in old mines due to previous excavation activities, which dominates the performance and efficiency of the mine thermal energy storage (MTES) system. Therefore, understanding the mechanisms of fluid flow, heat, and solute transport in fractured reservoirs in the MTES system is essential for its application and the assessment of environmental impact. In this study, fluid flow, heat, and solute transport in a 3D fracture-matrix MTES system are modeled simultaneously based on site-specific data in Freiberg, Germany. The simulations are conducted with a coupled Hydro-Thermo-Component process newly developed in the open-source software OpenGeoSys (OGS). To stabilize the simulation in the fracture-matrix hybrid system, a flux-corrected transport scheme is specifically implemented and applied in the model. Thus, heat and mass exchange between the embedded fractures and the matrix in the formation of MTES can be accurately simulated on the basis of the conforming mesh. In a hypothetical short-term scenario of a 15-day heating and cooling cycle of the MTES operation, the solute is transported faster than the heat in the fractured formation, indicating that disturbance of mineral compositions in the original mine water can affect a larger region than heat. The embedded fracture network in the surrounding formation is also found to increase the thermal energy storage capacity by 44%, while decreasing the recovery ratio by 14% compared to those of the unfractured formation. More energy will be transported and stored in the more fractured formation from heated mine water, but less energy can be recovered. The behavior of the MTES system strongly depends on local geology and hydraulic conditions and therefore needs to be evaluated in a site- and application-specific manner. This study provides preliminary insights into the performance and efficiency, as well as the environmental impact of the MTES operation in the short term.

A novel approach to evaluating the accessibility of electric vehicle charging infrastructure via dynamic thresholding in machine learning

The spatial deployment of urban public electric vehicle charging stations (PEVCSs) plays a pivotal role in the widespread adoption of electric vehicles (EVs). However, with the rapid advancements in EV technology and battery capabilities, substantial improvements in both range and charging efficiency have emerged and are expected to continue experiencing sustained growth. This situation underscores the urgent necessity of establishing dynamic metrics to reconsider the existing static charging infrastructure, aiming to ameliorate the current severe spatial imbalances and supply–demand disparities encountered in the deployment of PEVCSs. In this study, we harnessed and analyzed 84,152 sets of authentic data, fine-tuned through geospatial-aggregation technology, and ensured anonymity. Our findings bridged users’ residential and occupational patterns with their charging propensities. Comparing these with the spatial distribution of current charging stations revealed that Beijing and Shenzhen’s infrastructure aligned with the cities' economic, educational, and residential zones, epitomizing a synergy in provisioning. However, certain areas experienced either a demand–supply imbalance or an oversupply. To address these challenges, we introduced the Charging Access Reachability Index (CARI) using machine learning techniques. This dynamic metric serves as a tool for quantifying the effective coverage range of charging facilities. Its adaptive threshold holds potential as a crucial indicator enabling the dynamic transition towards more efficient and resilient charging infrastructure.