High-level Services Research Articles

MODEL OF SPATIAL ORGANIZATION OF TOURISM CLUSTERS IN SMALL HISTORIC CITIES OF RUSSIA

Relevance. Small historical towns in Russia are currently facing many problems. At the same time, they play a special role in the socio-economic and spatial development of their regions and the country as a whole. A huge number of small towns have significant, often hidden reserves for their successful development through the improvement of the tourism industry. The cluster model of tourism organization is very effective due to the cooperation of various enterprises and elements of urban infrastructure and as a result of creating a high-quality tourism product and increasing the competitiveness of small towns. A promising territory for creating a tourism cluster (TC) is the city of Torzhok, Tver region, Russia. Torzhok is located in relative proximity to big cities and is a monument of Russian urban art. This fact indicates the real possibility of the city to become an attractive object of cultural tourism. In urban planning, the greatest interest in the organization of tourism clusters is their spatial organization and elemental composition. To date, none of the developed TC models reflects the characteristics of the spatial organization of TC elements on the territory of small historic towns. It is necessary to develop a model that would eliminate this drawback. The purpose and objectives. Development of a model of spatial organization of tourism clusters in small towns of Russia, which will take into account the needs and preferences of potential tourists, pedestrian and transport accessibility of cluster elements. To achieve this purpose, the following objectives were solved: - to analyze domestic and foreign experience in studying the structural and elemental composition of tourism clusters. Identify the main elements of the TC. - to conduct a sociological study in order to determine the tourist demand of travelers to small towns in Russia - to develop a model of the spatial organization of a tourism cluster. Methodology. When studying the theoretical foundations of the formation of tourism clusters, scientific articles and abstracts of dissertations were considered. The subject of the study was the structure and elemental composition of the TC. As part of the study, a sociological survey was conducted among potential tourists traveling to small historical towns of Russia to determine the necessary set of TC elements and their pedestrian accessibility. Results. The article considers the issue of spatial organization of tourism clusters on the territory of small historic towns of Russia and their elemental composition. The developed models of the spatial organization of the tourism cluster are presented, taking into account the needs and preferences of potential tourists, namely the necessary set of elements of the tourism cluster and their pedestrian accessibility. The models were built on the basis of the results of a sociological study conducted by the author of this article. Conclusion. The proposed models of the spatial organization of the tourism cluster will allow the most rational arrangement of tourist infrastructure facilities, which will create comfortable conditions for tourists and, as a result, a high level of tourist services. The model can be used by local authorities when developing planning solutions for tourism clusters in small historic town of Russia.

Perencanaan Pengembangan Kawasan Perkebunan Kopi Arabika di Kabupaten Bener Meriah

Regional development is one of the efforts to increase socio-economic growth and reduce regional disparities. The Arabica coffee variety is one of the mainstay commodities in this region and a source of income for the people in Bener Meriah Regency. Land use planning based on superior commodities is expected to be able to overcome problems related to the effectiveness of land use, through this land use planning, land allocation will be determined according to its designation. The purpose of this study was to formulate a strategy in planning the development of Arabica coffee plantation areas in Bener Meriah Regency, through the stages of identifying the distribution of coffee plantations, analyzing potential availability and land suitability, analyzing agribusiness systems and analyzing the level of availability of regional facilities and infrastructure. The results of the analysis show that the distribution of Arabica coffee plantations in Bener Meriah Regency reaches an area of ​​46,167 ha. As for the extensive development of coffee plantations, this district has a suitable land area of ​​7,401.1 ha. The most dominant land suitability class is N with a height limiting factor with an area of ​​3,581.92 ha. Farming coffee farmers carried out by farmers is efficient because it has an R/C ratio = 2. The availability of facilities and infrastructure shows that the 2 sub-districts that have the highest level of service and development, namely Bukit District and Weh Pesam District, are classified as developed or Hierarchy I. Based on the AWOT, the suggested alternative strategy for the development of Arabica coffee plantations in Bener Meriah Regency is to optimize the availability of land and the use of infrastructure needed to support the improvement of the quality of plants and products.

SUPPLY CHAIN MARKETING MANAGEMENT

The article explores the work of scientists in organizing marketing activities in a company, specifically in managing the distribution policy that involves organizing distribution channels, forming a portfolio of contractual obligations within the product portfolio, and developing a supply plan for each contractor. It is noted that the organization of distribution channels in a company must ensure: the creation of a system for delivering products to the point of sale or operation at an exactly specified time and with the highest level of service; minimizing costs for organizing the movement of goods, which should in no case affect the level of service. It has been proven that the advantages of including a wholesale intermediary in the distribution system are: ensuring product distribution in the absence of contact with the consumer; bulk purchasing reduces supply costs; reducing the risk of unsold products; favorable pre-payment conditions, etc. However, the negative factors that arise as a result of the inclusion of intermediaries in the product distribution channels are: a large number of intermediaries significantly reduces market control and complicates the interaction process with the consumer; dependence on a small number of intermediaries in the future can cause serious commercial losses. Therefore, in practice, in order to reduce risk, mixed forms of product movement organization should be used, which in turn requires the development of new methods and approaches to this process. As a result of the analysis, it was determined that the need for re-organization of the existing distribution channel system arises when the company's production capacities are not fully supported by the capacity of the trade network. To diagnose such a situation, graph theory, in particular the adapted maximum flow problem, is used within the framework of this research. The authors stated that the result of applying the proposed models and methods is optimization of the existing distribution channel structure and development of further management methods for the company's distribution policy, including formation of its portfolio of contractual obligations and construction of a map of competitive advantages.

Experiences of identifying pre-school children with disabilities in resource limited settings – an account from Malawi, Pakistan and Uganda

Although access to effective medical care for acutely sick children has improved globally, the number of children surviving but who may not be thriving due to disability, is increasing. This study aimed to understand the views of health professionals, educators and caregivers of pre-school children with disabilities in Malawi, Pakistan and Uganda regarding early identification, referral and support. Using applied thematic analysis, we identified themes relating to; limited ‘demand’ by caregivers for services; different local beliefs and community perceptions regarding the causes of childhood disability. Themes relating to ‘supply’ of services included inability to respond to community needs, and inadequate training among professionals for identification and referral. Stepwise, approaches provided to the families, community health worker and higher-level services could include training for community and primary care health workers on basic identification techniques and enhanced awareness for families and communities on the importance of early identification of children with disabilities.

Data Dissemination in VANETs Using Particle Swarm Optimization.

A vehicular Ad-Hoc Network (VANET) is a type of Mobile Ad-Hoc Networks (MANETs) that uses wireless routers inside each vehicle to act as a node. The need for effective solutions to urban traffic congestion issues has increased recently due to the growing number of automobile connections in the car communications system. To ensure a high level of service and avoid unsafe situations brought on by congestion or a broadcast storm, data dissemination in a VANET network requires an effective approach. Effective multi-objective optimization methods are required to tackle this because of the implied competing nature of multi-metric approaches. A meta-heuristic technique with a high level of solution interactions can handle efficient optimization. To accomplish this, a meta-heuristic search algorithm particle optimization was chosen. In this paper, we have created a network consisting of vehicles as nodes. The aim is to send emergency messages immediately to the stationary nodes. The normal messages will be sent to the FIFO queue. To send these messages to a destination node, multiple routes were found using Time delay-based Multipath Routing (TMR) method, and to find the optimal and secure path Particle Swarm Optimization (PSO) is used. Our method is compared with different optimization methods such as Ant Colony Optimization (ACO), Firefly Optimization (FFO), and Enhanced Flying Ant Colony Optimization (EFACO). Significant improvements in terms of throughput and packet loss ratio, reduced end-to-end delay, rounding overhead ratio, and the energy consumption are revealed by the experimental results.

Health assessment of innovative ecological rainforest in pharmaceutical industry: Case study of Zhejiang, China.

Based on the perspective of ecology and innovation management, this paper selects seven elements from two aspects, innovation subject and innovation environment, to construct the evaluation index system for the health of pharmaceutical innovation ecological rainforest in Zhejiang from 2011 to 2019, together with the entropy weighted TOPSIS method and the obstacle factor diagnosis model. We find that the health of the pharmaceutical industry in Zhejiang can be measured as three stages: stagnation period, recovery period and development period. There is a relative balance between the development of innovation subject and innovation environment. The resilience of innovation subjects, followed by economic and cultural environment, is the key factor hindering the innovation of pharmaceutical industry in Zhejiang. Finally, we propose four countermeasures, including "deploying high-level service chains, broadening investment and financing channels for enterprises, building a reservoir of global talents, and creating an inclusive and open soft environment".

Proposing New Hybrid Models for Multicriteria Inventory ABC Classification

The literature is abundant with research studies that have been developed to provide an efficient model which has never been studied for multicriteria inventory classification MCIC problems. Therefore, this study proposes two hybrid inventory classification systems. Recently, the TOPSIS model has been widely developed, initially examined, and found very efficient to the (MCIC) due to its advantages and simplicity of use. In contrast, to the best of our knowledge, the PROMETHEE II and COPRAS models for determining (criteria weights) parameter values and classification, resulting in low/or competitive inventory cost and high service level. The proposed models utilize two sets of weights of CRITIC and Spearman’s rho (SR) tools for learning and optimizing PROMETHEE II and COPARS. In addition, a performance analysis is validated using a real-world dataset composed of 63 stock-keeping units (SKUs). The performance is compared to existing six MCIC classification models. The results reflect performances of the proposed models. Additionally, the comparative analysis indicates that the COPRAS model is the most preferred. Finally, the performance of the proposed models can be a great support for the overall supply chain system and decisions.

Constructing a Semantic Data Model for the Field of Material Science through Ontology

This research presents a method for constructing a semantic data model for the field of material science based on ontology. The method involves designing the semantic data model and establishing mapping rules between the data model and the ontology. Data semantic analysis and annotation are carried out based on the semantic data model, supporting the integration and efficient retrieval of heterogeneous data in the material science field. Furthermore, the method utilizes the OWL-S technique to describe, issue, and acquire relevant data services, enabling higher-level service semantic synergy in the material science domain. The proposed method effectively enables semantic integration, intelligent inquiry, and personalized services for data in the material science field.

Two-Sided Deep Reinforcement Learning for Dynamic Mobility-on-Demand Management with Mixed Autonomy

Autonomous vehicles (AVs) are expected to operate on mobility-on-demand (MoD) platforms because AV technology enables flexible self-relocation and system-optimal coordination. Unlike the existing studies, which focus on MoD with pure AV fleet or conventional vehicles (CVs) fleet, we aim to optimize the real-time fleet management of an MoD system with a mixed autonomy of CVs and AVs. We consider a realistic case that heterogeneous boundedly rational drivers may determine and learn their relocation strategies to improve their own compensation. In contrast, AVs are fully compliant with the platform’s operational decisions. To achieve a high level of service provided by a mixed fleet, we propose that the platform prioritizes human drivers in the matching decisions when on-demand requests arrive and dynamically determines the AV relocation tasks and the optimal commission fee to influence drivers’ behavior. However, it is challenging to make efficient real-time fleet management decisions when spatiotemporal uncertainty in demand and complex interactions among human drivers and operators are anticipated and considered in the operator’s decision making. To tackle the challenges, we develop a two-sided multiagent deep reinforcement learning (DRL) approach in which the operator acts as a supervisor agent on one side and makes centralized decisions on the mixed fleet, and each CV driver acts as an individual agent on the other side and learns to make decentralized decisions noncooperatively. We establish a two-sided multiagent advantage actor-critic algorithm to simultaneously train different agents on the two sides. For the first time, a scalable algorithm is developed here for mixed fleet management. Furthermore, we formulate a two-head policy network to enable the supervisor agent to efficiently make multitask decisions based on one policy network, which greatly reduces the computational time. The two-sided multiagent DRL approach is demonstrated using a case study in New York City using real taxi trip data. Results show that our algorithm can make high-quality decisions quickly and outperform benchmark policies. The efficiency of the two-head policy network is demonstrated by comparing it with the case using two separate policy networks. Our fleet management strategy makes both the platform and the drivers better off, especially in scenarios with high demand volume. History: This paper has been accepted for the Transportation Science Special Issue on Emerging Topics in Transportation Science and Logistics. Funding: This work was supported by the Singapore Ministry of Education Academic Research [Grant MOE2019-T2-2-165] and the Singapore Ministry of Education [Grant R-266-000-135-114].

Service sector: how to constantly improve the quality of service

The company itself should be interested in the formation of a high-quality service first of all. A high level of service depends on many factors: the team, an established system of working with clients, the convenience of performing duties for employees. Grigory Kunis, the manager of the igoods food delivery service, shared his recommendations.

PENGARUH PERSEPSI KEPERCAYAAN, PERSEPSI RISIKO, DAN MANFAAT TERHADAP MINAT PENGGUNAAN MOBILE BANKING BANK SYARIAH

Banking is one of the advanced information technologies that can be used to achieve high levels of customer service and new technologies that allow banking transactions via mobile phones. For bank customers, this application will support their transaction banking if they find it useful and easy to use. This study aims to examine the factors that influence the intention to use internet banking services. This research was conducted at the Sharia Banking Faculty of Islamic Economics and Business, Zainul Hasan Genggong Islamic University. Researchers received responses from 97 respondents who were students of Islamic banking study programs who had used internet banking. Data were analyzed using the method of literature study, with qualitative methods with analytical models and direct interviews to obtain information. The results of this model analysis show that the constructs of perceived benefits, perceived risks, and trust affect the intention to use internet banking. Although the perceived ease of use does not affect the intention to use the Internet Bank. This means that the intention to use internet banking is influenced by the construct of perceived benefits, perceived ease of use, and trust.

A Location Routing Problem with Time Windows Consideration: A Metaheuristics Approach

A substantial distribution system is achievable to attain through the simultaneous design of the location facility and route generation. This problem is generally called a location routing problem (LRP), where both strategic decision and operational decisions are considered during the decision initial phase. Nevertheless, for some real applications, a consideration of time restriction due to several reasons should be included in the model. Some examples include the distribution system of perishable goods, a company’s objective towards a high level of customer service, or emergency/disaster situations. Consequently, this research incorporates the location routing problem (LRP) with time window constraints, including the working hour and also time restriction in each customer. The location routing problem with time windows (LRPTW) could not be solved easily, especially for a large-sized problem and or one which is considered an NP-hard problem. In consideration with its large solution pools, this paper suggests an integration of variable neighborhood search (VNS) with path relinking (PR) to solve LRPTW. The method is first applied in the LRP benchmark to validate the effectiveness and the robustness of the proposed method. Computational results clarify that VNSPR can achieve some of the best and most competitive solutions for the LRP when compared to existing approaches. Further, we developed LRPTW instances from the best solution found in LRP datasets. The proposed VNSPR method is also able to yield nearly optimal solutions for LRPTW instances.

Customer experience management for highly demanded services in the financial market in crisis

Purpose: to provide differentiated marketing solutions for manage customer experience based on various demographics, behavioral characteristics and customer values in the process of servicing for investing in gold.Methods: the current study was based upon general scientific methods of analysis and synthesis, applied methods of marketing research. The field market research and analysis of customer experience were carried out in relation to investment opportunities available in banks: physical gold and depersonalized metal accounts. A qualitative research method included “Mystery shopper” – a covert participant observation research of 8 banks in Moscow – the major players offering services for investing in gold.Results: the authors found out that investing in gold becomes in demand during the crisis time. Gold, as an investment opportunity, is a protective asset and retains its value in a long term. The target segments potentially interested in investing in gold can be determined by demographic and behavioral characteristics, desired benefits and values. The authors analyzed the customer experience journey of two segments in the process of investing in through different banking channels. The customer experience was illustrated with customer experience maps that propose management solutions for banks that desire to offer gold investment services.Conclusions and Relevance: in the context of geopolitical and economic instability, the demand for investment opportunities in gold remains high. While customers value high level of services and investment appeal banks are interested in obtaining a stable income. To provide a mutually beneficial cooperation it is important to create a level of service that would fully meet consumer demand. The basis to create a high-quality service for investing in gold include specific management strategies enabling to receive omnichannel (both digital and non-digital) customer experience in various customer segments.

КЛІЄНТООРІЄНТОВАНІСТЬ У МАРКЕТИНГОВІЙ ДІЯЛЬНОСТІ АЛКОГОЛЬНОГО ХОЛДИНГУ «GLOBAL SPIRITS»

The alcohol industry is developing in line with the general trends of the economy, but it is also characterized by certain specific features: on the one hand, this direction of production provides the state with considerable profits, which the state uses for the development of the state and the needs of the population, on the other, the negative impact of this industry on "health" I am the nation", because the consumption of alcoholic beverages is dangerous for the health of citizens. Therefore, the enterprises of the alcohol industry are in the field of macro-environmental factors, in particular: counter-marketing of the state, the task of which is: to convince consumers to abandon the consumption of alcohol products. Counteractive marketing is an objective reason for insufficient customer orientation of alcohol industry enterprises. But, in addition to the influence of counter-marketing, there is also a lack of understanding of the essence and approaches of customer orientation of manufacturing enterprises, which negatively affects the state of the alcohol market and restrains its qualitative development. Orientation of the activities of alcohol industry enterprises on customer orientation can lead to a significant increase in competitiveness and an increase in the level of income and profitability. Therefore, the issue of client-oriented marketing in the market of alcohol products is relevant even in the conditions of counter-marketing. A client-oriented approach focuses attention on adapting the business to the client, creating a unique consumer value in a specific market segment. A customer-oriented company builds a long-term relationship with the customer and tries to satisfy his needs. This approach provides competitive advantages and allows you to successfully develop your business, despite the high competition in the niche. A customer-oriented brand allows the company to obtain additional profit due to the quality of goods, a high level of service, comfortable conditions of purchase and attentiveness to each customer. A customer-oriented company gains an advantage in the market and bypasses competitors focused on earnings and quick sales of goods. The article reveals the features of customer orientation of alcohol industry enterprises, investigates the reasons for significant changes in the alcohol business, which require the introduction of a customer-oriented approach in the marketing activities of enterprises. The directions of the client-oriented approach of alcohol industry enterprises have been determined. A system of measures of a client-oriented approach and key tasks of implementation of a client-oriented service is proposed.

Transport Logistics as a Tool of Interaction Between Transport Streams

State policy should be aimed at subsidizing the modernization of traffic flows, which will increase volumes and added value, should also be aimed at encouraging, reducing barriers for logistics companies that not only increase the export of goods, but also the export of services. Thus, this allows increasing GDP per capita and will lead to an increase in the instruments of interaction between transport flows. The article considers the countries that have significant potential to learn from the policies that perform best around the world. From the point of view of traffic supply, i.e. the market for logistics services, countries should be able to attract important interaction activities between traffic flows, which can contribute to further goals of transport logistics optimization. In general, it can be said that global value chains have a positive effect on the number of companies, because the more a country imports and exports a finished product, the more personnel it needs, if we are talking about services, then companies also need highly qualified personnel and thus there will be a higher level of service.

«ELECTRONIC GOVERNMENT» AS AN INTEGRATED PLATFORM FOR THE FORMATION OF NON-TOCRATIC PUBLIC ADMINISTRATION: THE EXPERIENCE OF ESTONIA

The article considers the main approaches to the definition of the concept of «electronic government»; it was found that the integration of public administration into the virtual information space creates favorable prerequisites for the formation of an effective e-democracy as a logical continuation of the transformation of socio-political processes in the information society, which indicates a netocratic vector of development of public administration. It has been established that the successfully tested elements of egovernment are being introduced into wide use, which leads to the gradual formation of netocratic management, which is acquiring more and more mechanisms, tools, methods and forms of communication between government and society. It has been proven that governments should use the mechanisms and capabilities of the information society in order to ensure that the work of government bodies meets the needs of citizens as much as possible. The experience of Estonia regarding the successful testing and implementation of an effective e-government system is studied. The factors that influenced the formation of a high level of electronic government services in Estonia are considered. In particular, attention is focused on the awareness by the country's officials of the priority development of the information and communication technology industry and the possibility of stable state funding; the state program of general computerization «Tiger Leap»; global informatization of the country; the introduction of a number of electronic systems and services, thanks to which the level of bureaucracy has decreased, there has been an increase in the participation of citizens in public life, the reaction of subjects of power to the appeal of citizens has improved, the decision-making process by authorities has become transparent and accountable to the public, etc. It is recommended to focus on the Estonian experience in the practical application of e-governance in order to develop information and digital infrastructures in the management sphere and an effective domestic egovernment as an integrated platform for the formation of netocratic public administration.

Unification of Medical Legal Norms and Criminal Liability in the Context of Globalization of Clinical Research

The relevance of the article is attributed to the swift evolution of the social and state system. With the advancement of the political, economic, and social dimensions of existence, there is a growing need to consider public opinion and enhance public legal awareness in the medical domain. The purpose of the study is to apply correlation analysis in comparing legal sciences and medical sciences, combining them, and subsequently utilizing applied legal dialectics within the realm of medical law knowledge. To achieve this goal, dialectical and logical methods, as well as general scientific methods such as observation and generalization, were employed. Globalization processes are supranational in nature, and under conditions of driving factors are subject to constant development. The medical field is not an exception and is influenced by other sciences, including legal doctrine, informatics, and economics. Clinical research in the medical field is subject to international influence and development, unification and legal regulation. Internationalization processes are making innovative adjustments to the development of medical science, introducing advancements such as artificial intelligence, personalized medicine, predictive medicine, preventive medicine, participatory medicine, and precision medicine. Consequently, personalized patient data is designated as sensitive and necessitates additional legal regulation. Additional attention is paid to the issue of criminal liability of medical workers as special subjects of professional activity. The results of research are reflected in the established search routes of the possibility of improving legal awareness of medical personnel in the context of practical professional activity. Such practical ways can serve as: the creation of informative material of legal content, adapted to the understanding of persons who are not specialists in the field of law, instead, they are professionals of high intellectual level of medical services. The practical importance of the results of creating information and legal content of the medical industry can be reflected in the results of advanced training by medical personnel, in addition, in the elements of self-education of doctors – researchers, private doctors – specialists, etc. Analytical study of the statistical informative material of the medical industry is reflected in legislative and normative legal acts, taken into account in the case law of the national level, taking into account the decisions of the European Court of Human Rights.

Optimization of management functions and business processes at road transport enterprises

The motor transport industry, along with others, has its own characteristics and rates of development in Russia and abroad. Management, as a science, is also based on relevant types: strategic, innovative, anti-crisis, financial, production and many other varieties of it, which form the appropriate management vectors in the organization based on functional or problem blocks of its activities. Most of the theoretical research is not used by specialists and managers in practice, noting the isolation of problems solved by fundamental science and fixed real situations that take place in the native industry. On the one hand, the problems relate to all areas, business processes, enterprises of many forms of ownership and complexes of the national economy: in relation to maximizing profits and improving reputation, maintaining a high level of quality, work, services, innovation, further development and building up strategic potential. It becomes more difficult to fulfill the above priorities and sub-goals in the conditions of crisis response, staff reduction, minimization of costs for the development of innovations in the economic activities of Auto-Transport Enterprises (AT enterprises). Business processes are a set of interrelated works performed in an organization to create a product, goods and services of high quality that are in demand among consumers. It is also necessary to take into account the concepts that consider business processes as the most important resources of the enterprise, the management of which becomes the area of control and influence from outside and ordinary performers. [1, 2]

THE IMPACT OF DIGITALIZATION ON THE ACCOUNTING PROFESSION IN ROMANIA - A QUANTITATIVE RESEARCH

The intensification of business globalisation, the large-scale extension of digitalisation in the business sphere, and the acceleration of technological progress as a result of research-development-innovation, are strongly influencing and impacting on the strategic and competitive objectives of companies, and implicitly on business models, leading to a redesign of management strategy towards the market, and towards traditional business models that are progressively replaced by other business models, in a new optic based on maximising competitive advantages. The aim of this research is to provide a comprehensive perspective on the impact that the digitisation process is having on business and implicitly on the accounting profession from the perspective of accounting professionals. The methodology of the study was based on the use of a quantitative research using a questionnaire as a research tool, in order to collect the data necessary to achieve the purpose and which was addressed to accounting professionals in Romania, namely in the north-east of the country. The results of the research highlighted the primary role of accounting professionals in the context of paradigm shifts from traditional to digitized accounting, to ensure a high level of service to management, with notable effects on business sustainability. The study is highly useful for the state and regulatory bodies that can adapt their future policies and strategies in the field of accounting and taxation, the academic world that must urgently adapt its university curriculum to the new realities imposed by the expansion of the phenomenon of digitization in accounting practices, as well as the management of entities that must identify the real opportunities of the use of digitization in the entity with medium and long-term effects on the creation of added value for it.

Fairness Evaluation of Landscape Justice in Urban Park Green Space: A Case Study of the Daxing Part of Yizhuang New Town, Beijing

Equitable distribution of urban park green space benefits public health and improves quality of life. From the perspective of landscape justice, this study establishes a subjective and objective comprehensive fairness evaluation method and analyzes the fairness of the spatial distribution of park green space in the Daxing part of Yizhuang New Town, Beijing and its relationship with the economic level of residents. The results show that: (1) the green space in the Daxing part of Yizhuang New Town is concentrated in the town center and distributed more sparsely in surrounding areas; (2) urban park green space is not equitable in quantity, area, disaster prevention and avoidance, or accessibility; (3) high-grade apartment complexes have higher quality of services than low-grade apartment complexes, and the number of parks, per capita park area, disaster prevention and avoidance, and park accessibility are all higher for high-grade than for low-grade apartment complexes. Medium-grade apartment complexes have a high level of green space services, and the number of parks, total area, and accessibility are 1.06, 2.58, and 1.13 times higher than those of high-grade apartment complexes, respectively. Conversely, disaster prevention and avoidance and park area per capita of medium-grade apartment complexes are lower than in high-grade apartment complexes, at 0.81 and 0.12 times, respectively. This study provides a new perspective for exploring society and landscape equity and concludes with suggestions for improving park green space public services.